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Loaded season dataframe from data/20242025/20242025_df.csv -> shape=(541152, 24) INFO:root:Loaded cached shifts for game 2024010085 from data/20242025/shifts/shifts_2024010085.pkl Ensuring xG predictions... Found 36 teams: ['ANA', 'BOS', 'BUF', 'CAN', 'CAR', 'CBJ', 'CGY', 'CHI', 'COL', 'DAL', 'DET', 'EDM', 'FIN', 'FLA', 'LAK', 'MIN', 'MTL', 'NJD', 'NSH', 'NYI', 'NYR', 'OTT', 'PHI', 'PIT', 'SEA', 'SJS', 'STL', 'SWE', 'TBL', 'TOR', 'USA', 'UTA', 'VAN', 'VGK', 'WPG', 'WSH'] Dropping columns to save RAM: ['player_name'] --- PASS 1: Calculating Player Stats (Game-Centric) --- Found 1978 games to process. Processing game 10/1978: 2024010080... Failed to load cache for 2024010085: Expecting value: line 1 column 14361 (char 14360) Deleted corrupted cache file: data/20242025/game_stats_player/2024010085.json xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=7 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=24 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=1 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 _apply_intervals debug: no rows matched any intervals intervals_obj per_game count = 1 game 2024010085 intervals_parsed= 1 skipped_games (sample): [('2024010085', 'no_matches')] df_in shape: (235, 24) columns_count= 24 Warning: condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} (team=29) matched 0 rows; producing an empty plot without training/loading model DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024010085 rows_in_game=235 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2024010085 df_game_rows=235 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2024010087 from data/20242025/shifts/shifts_2024010087.pkl INFO:root:Loaded cached shifts for game 2024010102 from data/20242025/shifts/shifts_2024010102.pkl INFO:root:Loaded cached shifts for game 2024010103 from data/20242025/shifts/shifts_2024010103.pkl INFO:root:Loaded cached shifts for game 2024010104 from data/20242025/shifts/shifts_2024010104.pkl INFO:root:Loaded cached shifts for game 2024020943 from data/20242025/shifts/shifts_2024020943.pkl Failed to save cache for 2024010085: Object of type int64 is not JSON serializable Processing game 20/1978: 2024010090... Processing game 30/1978: 2024010100... Processing game 40/1978: 2024020005... Processing game 50/1978: 2024020015... Processing game 60/1978: 2024020025... Processing game 70/1978: 2024020035... Processing game 80/1978: 2024020045... Processing game 90/1978: 2024020055... Processing game 100/1978: 2024020065... Processing game 110/1978: 2024020075... Processing game 120/1978: 2024020085... Processing game 130/1978: 2024020095... Processing game 140/1978: 2024020105... Processing game 150/1978: 2024020115... Processing game 160/1978: 2024020125... Processing game 170/1978: 2024020135... Processing game 180/1978: 2024020145... Processing game 190/1978: 2024020155... Processing game 200/1978: 2024020165... Processing game 210/1978: 2024020175... Processing game 220/1978: 2024020185... Processing game 230/1978: 2024020195... Processing game 240/1978: 2024020205... Processing game 250/1978: 2024020215... Processing game 260/1978: 2024020225... Processing game 270/1978: 2024020235... Processing game 280/1978: 2024020245... Processing game 290/1978: 2024020255... Processing game 300/1978: 2024020265... Processing game 310/1978: 2024020275... Processing game 320/1978: 2024020285... Processing game 330/1978: 2024020295... Processing game 340/1978: 2024020305... Processing game 350/1978: 2024020315... Processing game 360/1978: 2024020325... Processing game 370/1978: 2024020335... Processing game 380/1978: 2024020345... Processing game 390/1978: 2024020355... Processing game 400/1978: 2024020365... Processing game 410/1978: 2024020375... Processing game 420/1978: 2024020385... Processing game 430/1978: 2024020395... Processing game 440/1978: 2024020405... Processing game 450/1978: 2024020415... Processing game 460/1978: 2024020425... Processing game 470/1978: 2024020435... Processing game 480/1978: 2024020445... Processing game 490/1978: 2024020455... Processing game 500/1978: 2024020465... Processing game 510/1978: 2024020475... Processing game 520/1978: 2024020485... Processing game 530/1978: 2024020495... Processing game 540/1978: 2024020505... Processing game 550/1978: 2024020515... Processing game 560/1978: 2024020525... Processing game 570/1978: 2024020535... Processing game 580/1978: 2024020545... Processing game 590/1978: 2024020555... Processing game 600/1978: 2024020565... Processing game 610/1978: 2024020575... Processing game 620/1978: 2024020585... Processing game 630/1978: 2024020595... Processing game 640/1978: 2024020605... Processing game 650/1978: 2024020615... Processing game 660/1978: 2024020625... Processing game 670/1978: 2024020635... Processing game 680/1978: 2024020645... Processing game 690/1978: 2024020655... Processing game 700/1978: 2024020665... Processing game 710/1978: 2024020675... Processing game 720/1978: 2024020685... Processing game 730/1978: 2024020695... Processing game 740/1978: 2024020705... Processing game 750/1978: 2024020715... Processing game 760/1978: 2024020725... Processing game 770/1978: 2024020735... Processing game 780/1978: 2024020745... Processing game 790/1978: 2024020755... Processing game 800/1978: 2024020765... Processing game 810/1978: 2024020775... Processing game 820/1978: 2024020785... Processing game 830/1978: 2024020795... Processing game 840/1978: 2024020805... Processing game 850/1978: 2024020815... Processing game 860/1978: 2024020825... Processing game 870/1978: 2024020835... Processing game 880/1978: 2024020845... Processing game 890/1978: 2024020855... Processing game 900/1978: 2024020865... Processing game 910/1978: 2024020875... Processing game 920/1978: 2024020885... Processing game 930/1978: 2024020895... Processing game 940/1978: 2024020905... Processing game 950/1978: 2024020915... Processing game 960/1978: 2024020925... Processing game 970/1978: 2024020935... Failed to load cache for 2024020943: Expecting value: line 1 column 15 (char 14) Deleted corrupted cache file: data/20242025/game_stats_player/2024020943.json xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=2 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 _apply_intervals debug: no rows matched any intervals intervals_obj per_game count = 1 game 2024020943 intervals_parsed= 2 skipped_games (sample): [('2024020943', 'no_matches')] df_in shape: (256, 24) columns_count= 24 Warning: condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} (team=16) matched 0 rows; producing an empty plot without training/loading model DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=7 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 16 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=26 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 169 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=2 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 153 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2024020943 rows_in_game=256 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2024020943 df_game_rows=256 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [54 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025010001 from data/20252026/shifts/shifts_2025010001.pkl INFO:root:Loaded cached shifts for game 2025010029 from data/20252026/shifts/shifts_2025010029.pkl INFO:root:Loaded cached shifts for game 2025010036 from data/20252026/shifts/shifts_2025010036.pkl INFO:root:Loaded cached shifts for game 2025010046 from data/20252026/shifts/shifts_2025010046.pkl INFO:root:Loaded cached shifts for game 2025010054 from data/20252026/shifts/shifts_2025010054.pkl Failed to save cache for 2024020943: Object of type int64 is not JSON serializable Processing game 980/1978: 2024020945... Processing game 990/1978: 2024020955... Processing game 1000/1978: 2024020965... Processing game 1010/1978: 2024020975... Processing game 1020/1978: 2024020985... Processing game 1030/1978: 2024020995... Processing game 1040/1978: 2024021005... Processing game 1050/1978: 2024021015... Processing game 1060/1978: 2024021025... Processing game 1070/1978: 2024021035... Processing game 1080/1978: 2024021045... Processing game 1090/1978: 2024021055... Processing game 1100/1978: 2024021065... Processing game 1110/1978: 2024021075... Processing game 1120/1978: 2024021085... Processing game 1130/1978: 2024021095... Processing game 1140/1978: 2024021105... Processing game 1150/1978: 2024021115... Processing game 1160/1978: 2024021125... Processing game 1170/1978: 2024021135... Processing game 1180/1978: 2024021145... Processing game 1190/1978: 2024021155... Processing game 1200/1978: 2024021165... Processing game 1210/1978: 2024021175... Processing game 1220/1978: 2024021185... Processing game 1230/1978: 2024021195... Processing game 1240/1978: 2024021205... Processing game 1250/1978: 2024021215... Processing game 1260/1978: 2024021225... Processing game 1270/1978: 2024021235... Processing game 1280/1978: 2024021245... Processing game 1290/1978: 2024021256... Processing game 1300/1978: 2024021266... Processing game 1310/1978: 2024021276... Processing game 1320/1978: 2024021286... Processing game 1330/1978: 2024021296... Processing game 1340/1978: 2024021306... Processing game 1350/1978: 2024030114... Processing game 1360/1978: 2024030133... Processing game 1370/1978: 2024030153... Processing game 1380/1978: 2024030166... Processing game 1390/1978: 2024030183... Processing game 1400/1978: 2024030217... Processing game 1410/1978: 2024030235... Processing game 1420/1978: 2024030314... Processing game 1430/1978: 2024030414... Processing game 1440/1978: 2025010001... Processing game 1450/1978: 2025010011... Processing game 1460/1978: 2025010021... Processing game 1470/1978: 2025010031... Processing game 1480/1978: 2025010041... Processing game 1490/1978: 2025010051... Failed to load cache for 2025010054: Expecting value: line 1 column 19186 (char 19185) Deleted corrupted cache file: data/20242025/game_stats_player/2025010054.json xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=8 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=7 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 129 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=8 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=7 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 129 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=9 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=7 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=2 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 1 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=1 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 _apply_intervals debug: no rows matched any intervals intervals_obj per_game count = 1 game 2025010054 intervals_parsed= 1 skipped_games (sample): [('2025010054', 'no_matches')] df_in shape: (258, 24) columns_count= 24 Warning: condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} (team=18) matched 0 rows; producing an empty plot without training/loading model DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025010054 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025010054 df_game_rows=258 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025010056 from data/20252026/shifts/shifts_2025010056.pkl INFO:root:Loaded cached shifts for game 2025010067 from data/20252026/shifts/shifts_2025010067.pkl INFO:root:Loaded cached shifts for game 2025010068 from data/20252026/shifts/shifts_2025010068.pkl INFO:root:Loaded cached shifts for game 2025010069 from data/20252026/shifts/shifts_2025010069.pkl INFO:root:Loaded cached shifts for game 2025010103 from data/20252026/shifts/shifts_2025010103.pkl INFO:root:Loaded cached shifts for game 2025020057 from data/20252026/shifts/shifts_2025020057.pkl INFO:root:Loaded cached shifts for game 2025020058 from data/20252026/shifts/shifts_2025020058.pkl INFO:root:Loaded cached shifts for game 2025020059 from data/20252026/shifts/shifts_2025020059.pkl INFO:root:Loaded cached shifts for game 2025020060 from data/20252026/shifts/shifts_2025020060.pkl INFO:root:Loaded cached shifts for game 2025020061 from data/20252026/shifts/shifts_2025020061.pkl INFO:root:Loaded cached shifts for game 2025020062 from data/20252026/shifts/shifts_2025020062.pkl INFO:root:Loaded cached shifts for game 2025020063 from data/20252026/shifts/shifts_2025020063.pkl INFO:root:Loaded cached shifts for game 2025020064 from data/20252026/shifts/shifts_2025020064.pkl INFO:root:Loaded cached shifts for game 2025020065 from data/20252026/shifts/shifts_2025020065.pkl INFO:root:Loaded cached shifts for game 2025020066 from data/20252026/shifts/shifts_2025020066.pkl INFO:root:Loaded cached shifts for game 2025020067 from data/20252026/shifts/shifts_2025020067.pkl INFO:root:Loaded cached shifts for game 2025020068 from data/20252026/shifts/shifts_2025020068.pkl INFO:root:Loaded cached shifts for game 2025020069 from data/20252026/shifts/shifts_2025020069.pkl INFO:root:Loaded cached shifts for game 2025020070 from data/20252026/shifts/shifts_2025020070.pkl INFO:root:Loaded cached shifts for game 2025020071 from data/20252026/shifts/shifts_2025020071.pkl INFO:root:Loaded cached shifts for game 2025020072 from data/20252026/shifts/shifts_2025020072.pkl INFO:root:Loaded cached shifts for game 2025020073 from data/20252026/shifts/shifts_2025020073.pkl INFO:root:Loaded cached shifts for game 2025020074 from data/20252026/shifts/shifts_2025020074.pkl INFO:root:Loaded cached shifts for game 2025020075 from data/20252026/shifts/shifts_2025020075.pkl INFO:root:Loaded cached shifts for game 2025020076 from data/20252026/shifts/shifts_2025020076.pkl INFO:root:Loaded cached shifts for game 2025020077 from data/20252026/shifts/shifts_2025020077.pkl INFO:root:Loaded cached shifts for game 2025020078 from data/20252026/shifts/shifts_2025020078.pkl INFO:root:Loaded cached shifts for game 2025020079 from data/20252026/shifts/shifts_2025020079.pkl INFO:root:Loaded cached shifts for game 2025020080 from data/20252026/shifts/shifts_2025020080.pkl INFO:root:Loaded cached shifts for game 2025020081 from data/20252026/shifts/shifts_2025020081.pkl INFO:root:Loaded cached shifts for game 2025020082 from data/20252026/shifts/shifts_2025020082.pkl INFO:root:Loaded cached shifts for game 2025020083 from data/20252026/shifts/shifts_2025020083.pkl INFO:root:Loaded cached shifts for game 2025020084 from data/20252026/shifts/shifts_2025020084.pkl INFO:root:Loaded cached shifts for game 2025020085 from data/20252026/shifts/shifts_2025020085.pkl INFO:root:Loaded cached shifts for game 2025020086 from data/20252026/shifts/shifts_2025020086.pkl INFO:root:Loaded cached shifts for game 2025020113 from data/20252026/shifts/shifts_2025020113.pkl Failed to save cache for 2025010054: Object of type int64 is not JSON serializable Processing game 1500/1978: 2025010061... Processing game 1510/1978: 2025010071... Processing game 1520/1978: 2025010081... Processing game 1530/1978: 2025010091... Processing game 1540/1978: 2025010101... Processing game 1550/1978: 2025020007... Processing game 1560/1978: 2025020017... Processing game 1570/1978: 2025020027... Processing game 1580/1978: 2025020037... Processing game 1590/1978: 2025020047... Processing game 1600/1978: 2025020057... Processing game 1610/1978: 2025020067... Processing game 1620/1978: 2025020077... Processing game 1630/1978: 2025020087... Processing game 1640/1978: 2025020097... Processing game 1650/1978: 2025020107... xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [16 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [14 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020113 rows_in_game=265 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020113 df_game_rows=265 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020114 from data/20252026/shifts/shifts_2025020114.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=24 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=24 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=7 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 240 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=7 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 240 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 5 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020114 rows_in_game=289 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020114 df_game_rows=289 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [13 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020115 from data/20252026/shifts/shifts_2025020115.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=10 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=10 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020115 rows_in_game=286 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020115 df_game_rows=286 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020116 from data/20252026/shifts/shifts_2025020116.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=1 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 10 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=11 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=29 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=10 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=1 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 4 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 3 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020116 rows_in_game=278 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020116 df_game_rows=278 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020117 from data/20252026/shifts/shifts_2025020117.pkl Processing game 1660/1978: 2025020117... xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=11 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 166 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=11 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 166 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=9 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [68 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020117 rows_in_game=253 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020117 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020118 from data/20252026/shifts/shifts_2025020118.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=25 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=12 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=25 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020118 rows_in_game=260 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020118 df_game_rows=260 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025020119 from data/20252026/shifts/shifts_2025020119.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=25 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=9 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=5 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 14 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=25 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [25 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020119 rows_in_game=268 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020119 df_game_rows=268 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [26 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020120 from data/20252026/shifts/shifts_2025020120.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=30 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=24 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=29 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=8 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 246 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=27 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 246 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=25 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=26 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=25 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020120 rows_in_game=276 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020120 df_game_rows=276 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020121 from data/20252026/shifts/shifts_2025020121.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=6 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 169 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=2 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 6 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=7 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=10 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=11 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 130 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=5 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 16 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 335 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020121 df_game_rows=335 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020122 from data/20252026/shifts/shifts_2025020122.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=31 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=7 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=24 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=23 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=25 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [22 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020122 rows_in_game=260 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020122 df_game_rows=260 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 8 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020123 from data/20252026/shifts/shifts_2025020123.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=29 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=6 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=6 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=26 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=27 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=3 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 9 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020123 df_game_rows=278 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} INFO:root:Loaded cached shifts for game 2025020124 from data/20252026/shifts/shifts_2025020124.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=11 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 167 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=15 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=9 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=15 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 167 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020124 rows_in_game=260 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020124 df_game_rows=260 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020125 from data/20252026/shifts/shifts_2025020125.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=8 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020125 rows_in_game=266 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020125 df_game_rows=266 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020126 from data/20252026/shifts/shifts_2025020126.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020126 rows_in_game=281 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020126 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020127 from data/20252026/shifts/shifts_2025020127.pkl Processing game 1670/1978: 2025020127... xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=30 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=26 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=8 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 231 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=28 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=28 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=8 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 231 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020127 rows_in_game=293 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020127 df_game_rows=293 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [4 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020128 from data/20252026/shifts/shifts_2025020128.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=26 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020128 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 6 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020129 from data/20252026/shifts/shifts_2025020129.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=27 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=4 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 9 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=26 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=8 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=25 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=5 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 10 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=28 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 122 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [14 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 316 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020129 df_game_rows=316 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020130 from data/20252026/shifts/shifts_2025020130.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=8 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 244 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 117 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=8 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 244 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020130 rows_in_game=281 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020130 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} INFO:root:Loaded cached shifts for game 2025020131 from data/20252026/shifts/shifts_2025020131.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 256 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=9 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 256 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=28 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 311 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020131 rows_in_game=311 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020131 df_game_rows=311 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [30 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020132 from data/20252026/shifts/shifts_2025020132.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=29 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=10 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=8 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [10 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020132 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} INFO:root:Loaded cached shifts for game 2025020133 from data/20252026/shifts/shifts_2025020133.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=11 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=6 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=11 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=11 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=26 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020133 rows_in_game=273 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020133 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020134 from data/20252026/shifts/shifts_2025020134.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=8 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020134 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020134 df_game_rows=296 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 5 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020135 from data/20252026/shifts/shifts_2025020135.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=3 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 5 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=14 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=11 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=27 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020135 rows_in_game=278 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020135 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020136 from data/20252026/shifts/shifts_2025020136.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=8 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=25 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=21 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=24 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=24 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=8 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020136 rows_in_game=270 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020136 df_game_rows=270 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [23 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020137 from data/20252026/shifts/shifts_2025020137.pkl Processing game 1680/1978: 2025020137... xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=27 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=6 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 234 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=27 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=6 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 234 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [18 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020137 rows_in_game=301 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020137 df_game_rows=301 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020138 from data/20252026/shifts/shifts_2025020138.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=25 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=8 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 254 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=25 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 109 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=8 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 254 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [25 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 325 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020138 df_game_rows=325 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020139 from data/20252026/shifts/shifts_2025020139.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=24 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=26 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=24 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020139 rows_in_game=260 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020139 df_game_rows=260 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [55 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020140 from data/20252026/shifts/shifts_2025020140.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=28 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 121 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=7 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=5 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 262 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=26 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=26 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=5 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 262 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020140 rows_in_game=285 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020140 df_game_rows=285 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020141 from data/20252026/shifts/shifts_2025020141.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=9 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=25 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=7 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=9 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020141 rows_in_game=264 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020141 df_game_rows=264 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} INFO:root:Loaded cached shifts for game 2025020142 from data/20252026/shifts/shifts_2025020142.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=5 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=7 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=6 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=8 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=25 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=25 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020142 rows_in_game=277 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020142 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020143 from data/20252026/shifts/shifts_2025020143.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=8 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [52 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020143 rows_in_game=268 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020143 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020144 from data/20252026/shifts/shifts_2025020144.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [26 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=8 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=2 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 8 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020144 rows_in_game=262 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020144 df_game_rows=262 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [16 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020145 from data/20252026/shifts/shifts_2025020145.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=25 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020145 rows_in_game=276 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020145 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020146 from data/20252026/shifts/shifts_2025020146.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 108 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=7 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 254 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=33 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 111 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=7 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 254 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 115 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [20 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020146 rows_in_game=281 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020146 df_game_rows=281 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020147 from data/20252026/shifts/shifts_2025020147.pkl Processing game 1690/1978: 2025020147... xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=28 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=26 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=28 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=25 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020147 rows_in_game=256 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020147 df_game_rows=256 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [23 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020148 from data/20252026/shifts/shifts_2025020148.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=9 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 215 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=9 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 215 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=28 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020148 rows_in_game=252 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020148 df_game_rows=252 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 5 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020149 from data/20252026/shifts/shifts_2025020149.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 245 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=14 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=28 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=30 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 245 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020149 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} INFO:root:Loaded cached shifts for game 2025020150 from data/20252026/shifts/shifts_2025020150.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=31 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=11 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=8 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=10 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=8 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020150 rows_in_game=290 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020150 df_game_rows=290 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [4 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020151 from data/20252026/shifts/shifts_2025020151.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=26 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=8 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=26 team_for_game=10 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=8 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=28 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020151 rows_in_game=284 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020151 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [10 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020152 from data/20252026/shifts/shifts_2025020152.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=27 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=4 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 260 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=25 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 132 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=4 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 260 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=25 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 7 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020152 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020153 from data/20252026/shifts/shifts_2025020153.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=8 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=7 team_for_game=13 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=10 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=10 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020153 df_game_rows=297 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020154 from data/20252026/shifts/shifts_2025020154.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 169 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 169 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020154 df_game_rows=240 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020155 from data/20252026/shifts/shifts_2025020155.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 107 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=28 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 120 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=29 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [54 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [54 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=28 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=28 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=9 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020155 df_game_rows=299 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [12 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} INFO:root:Loaded cached shifts for game 2025020156 from data/20252026/shifts/shifts_2025020156.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 175 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=8 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 16 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 175 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020156 rows_in_game=253 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025020156 df_game_rows=253 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [18 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} INFO:root:Loaded cached shifts for game 2025020157 from data/20252026/shifts/shifts_2025020157.pkl Processing game 1700/1978: 2025020157... xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=5 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 247 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=10 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=5 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 247 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=27 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=9 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020157 rows_in_game=282 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020157 df_game_rows=282 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} INFO:root:Loaded cached shifts for game 2025020158 from data/20252026/shifts/shifts_2025020158.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=7 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=26 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=7 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [19 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020158 rows_in_game=244 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020158 df_game_rows=244 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020159 from data/20252026/shifts/shifts_2025020159.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=7 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 17 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=24 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [25 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020159 rows_in_game=267 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020159 df_game_rows=267 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020160 from data/20252026/shifts/shifts_2025020160.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 108 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 265 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=26 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 265 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=29 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 114 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [16 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020160 rows_in_game=307 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020160 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020161 from data/20252026/shifts/shifts_2025020161.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 245 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=9 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 245 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020161 rows_in_game=301 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020161 df_game_rows=301 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [21 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} INFO:root:Loaded cached shifts for game 2025020162 from data/20252026/shifts/shifts_2025020162.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=6 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=29 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=6 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020162 rows_in_game=238 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020162 df_game_rows=238 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [22 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020163 from data/20252026/shifts/shifts_2025020163.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=8 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 179 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=12 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=8 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 179 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [23 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020163 rows_in_game=237 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020163 df_game_rows=237 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020164 from data/20252026/shifts/shifts_2025020164.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=10 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 180 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=25 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=23 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [55 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 180 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020164 rows_in_game=235 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020164 df_game_rows=235 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020165 from data/20252026/shifts/shifts_2025020165.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 176 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=8 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 176 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020165 rows_in_game=233 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020165 df_game_rows=233 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020166 from data/20252026/shifts/shifts_2025020166.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=22 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=5 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 261 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=26 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=28 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=5 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 261 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020166 rows_in_game=286 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020166 df_game_rows=286 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} INFO:root:Loaded cached shifts for game 2025020167 from data/20252026/shifts/shifts_2025020167.pkl Processing game 1710/1978: 2025020167... xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=8 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [6 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020167 df_game_rows=300 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [7 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} INFO:root:Loaded cached shifts for game 2025020168 from data/20252026/shifts/shifts_2025020168.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [20 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=15 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=4 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 12 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [20 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=8 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=28 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 300 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020168 rows_in_game=300 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020168 df_game_rows=300 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 9 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020169 from data/20252026/shifts/shifts_2025020169.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=9 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [14 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020169 rows_in_game=269 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020169 df_game_rows=269 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020170 from data/20252026/shifts/shifts_2025020170.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=26 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=4 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 17 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=25 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=9 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=6 team_for_game=4 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=6 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020170 rows_in_game=262 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020170 df_game_rows=262 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025020171 from data/20252026/shifts/shifts_2025020171.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=10 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 242 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=10 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 242 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020171 df_game_rows=321 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020172 from data/20252026/shifts/shifts_2025020172.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=9 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=11 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=7 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=11 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=9 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=1 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 7 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [19 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020172 rows_in_game=268 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020172 df_game_rows=268 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} INFO:root:Loaded cached shifts for game 2025020173 from data/20252026/shifts/shifts_2025020173.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=27 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=9 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020173 rows_in_game=265 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020173 df_game_rows=265 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020174 from data/20252026/shifts/shifts_2025020174.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=3 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 7 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=8 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020174 rows_in_game=255 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020174 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [52 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020175 from data/20252026/shifts/shifts_2025020175.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=7 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [22 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020175 rows_in_game=262 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020175 df_game_rows=262 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020176 from data/20252026/shifts/shifts_2025020176.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=25 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=7 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=7 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=7 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=26 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020176 rows_in_game=269 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020176 df_game_rows=269 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [28 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} INFO:root:Loaded cached shifts for game 2025020177 from data/20252026/shifts/shifts_2025020177.pkl Processing game 1720/1978: 2025020177... xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=8 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=2 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 10 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [17 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=12 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=10 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020177 rows_in_game=292 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020177 df_game_rows=292 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [26 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020178 from data/20252026/shifts/shifts_2025020178.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=23 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=23 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=5 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=27 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [54 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=6 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020178 rows_in_game=271 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020178 df_game_rows=271 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020179 from data/20252026/shifts/shifts_2025020179.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 183 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=7 team_for_game=15 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 183 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020179 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020179 df_game_rows=257 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [15 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020180 from data/20252026/shifts/shifts_2025020180.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=10 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020181 from data/20252026/shifts/shifts_2025020181.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=6 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 215 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=6 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 215 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020181 df_game_rows=241 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020182 from data/20252026/shifts/shifts_2025020182.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=7 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=10 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=7 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020182 rows_in_game=273 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020182 df_game_rows=273 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [52 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020183 from data/20252026/shifts/shifts_2025020183.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 165 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=28 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=2 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 7 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=7 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 126 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020183 rows_in_game=266 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020183 df_game_rows=266 Filtered season dataframe to 18 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025020184 from data/20252026/shifts/shifts_2025020184.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=29 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=26 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 109 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=25 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 224 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=7 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 224 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020184 rows_in_game=271 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020184 df_game_rows=271 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [21 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020185 from data/20252026/shifts/shifts_2025020185.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=6 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=26 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=28 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=6 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 214 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [13 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020185 rows_in_game=261 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020185 df_game_rows=261 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020186 from data/20252026/shifts/shifts_2025020186.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 188 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=10 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 188 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020187 from data/20252026/shifts/shifts_2025020187.pkl Processing game 1730/1978: 2025020187... xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=12 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=6 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=4 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 12 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=27 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=6 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=27 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=21 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020187 rows_in_game=266 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020187 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020188 from data/20252026/shifts/shifts_2025020188.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 171 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=11 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=29 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=6 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 159 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=25 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=6 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 11 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020188 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020188 df_game_rows=284 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [10 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} INFO:root:Loaded cached shifts for game 2025020189 from data/20252026/shifts/shifts_2025020189.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=28 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=30 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=22 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=8 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=11 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=11 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020189 rows_in_game=269 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020189 df_game_rows=269 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020190 from data/20252026/shifts/shifts_2025020190.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=10 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020190 rows_in_game=277 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020190 df_game_rows=277 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020191 from data/20252026/shifts/shifts_2025020191.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=7 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=7 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=11 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [26 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020191 rows_in_game=277 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020191 df_game_rows=277 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 1 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020192 from data/20252026/shifts/shifts_2025020192.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=6 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=6 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=26 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [22 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 244 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020192 rows_in_game=244 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020192 df_game_rows=244 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020193 from data/20252026/shifts/shifts_2025020193.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=24 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=27 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=7 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=24 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=27 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=6 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=13 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020193 rows_in_game=269 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020193 df_game_rows=269 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [ 3 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020194 from data/20252026/shifts/shifts_2025020194.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=7 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [68 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020194 rows_in_game=255 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020194 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [14 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020195 from data/20252026/shifts/shifts_2025020195.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=24 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=9 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 109 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=9 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 2 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020195 rows_in_game=263 parsed_intervals=26 team_for_game=2 _apply_intervals: game 2025020195 df_game_rows=263 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [29 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020196 from data/20252026/shifts/shifts_2025020196.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=31 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=32 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=26 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=4 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=26 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=4 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [20 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020196 rows_in_game=260 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020196 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 4 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020197 from data/20252026/shifts/shifts_2025020197.pkl Processing game 1740/1978: 2025020197... xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=7 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=25 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=7 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=11 team_for_game=1 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020197 df_game_rows=268 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 1 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020198 from data/20252026/shifts/shifts_2025020198.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=12 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=7 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=27 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=7 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020198 rows_in_game=276 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020198 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [17 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020199 from data/20252026/shifts/shifts_2025020199.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=24 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=25 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=24 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=7 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 230 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=7 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 230 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=26 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=2 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 6 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020199 rows_in_game=276 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020199 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020200 from data/20252026/shifts/shifts_2025020200.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=6 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=6 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [19 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [19 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020200 rows_in_game=243 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020200 df_game_rows=243 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [22 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020201 from data/20252026/shifts/shifts_2025020201.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=25 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 105 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020201 rows_in_game=299 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020201 df_game_rows=299 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025020202 from data/20252026/shifts/shifts_2025020202.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020202 rows_in_game=259 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020202 df_game_rows=259 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020203 from data/20252026/shifts/shifts_2025020203.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=7 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 17 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=27 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=7 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=7 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=9 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020203 df_game_rows=243 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020204 from data/20252026/shifts/shifts_2025020204.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=8 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=29 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=28 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=8 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=21 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 299 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020204 rows_in_game=299 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020204 df_game_rows=299 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [4 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020205 from data/20252026/shifts/shifts_2025020205.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=9 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [2 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [6 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020206 from data/20252026/shifts/shifts_2025020206.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=9 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020206 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 3 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020207 from data/20252026/shifts/shifts_2025020207.pkl Processing game 1750/1978: 2025020207... xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=8 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=8 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [22 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020207 rows_in_game=265 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020207 df_game_rows=265 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [25 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020208 from data/20252026/shifts/shifts_2025020208.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=25 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 210 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 210 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020208 rows_in_game=277 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020208 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020209 from data/20252026/shifts/shifts_2025020209.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=25 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [21 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=7 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 18 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 275 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020209 rows_in_game=275 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020209 df_game_rows=275 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [14 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020210 from data/20252026/shifts/shifts_2025020210.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=5 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=5 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [54 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020210 rows_in_game=258 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020210 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020211 from data/20252026/shifts/shifts_2025020211.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020211 df_game_rows=294 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [13 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020212 from data/20252026/shifts/shifts_2025020212.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 136 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 136 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020212 rows_in_game=238 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020212 df_game_rows=238 Filtered season dataframe to 16 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [26 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} INFO:root:Loaded cached shifts for game 2025020213 from data/20252026/shifts/shifts_2025020213.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=28 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=8 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 199 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 199 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020213 rows_in_game=237 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020213 df_game_rows=237 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [10 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020214 from data/20252026/shifts/shifts_2025020214.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=4 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 120 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=8 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=6 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=3 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020214 rows_in_game=258 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020214 df_game_rows=258 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020215 from data/20252026/shifts/shifts_2025020215.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=25 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=11 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=8 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [20 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020215 rows_in_game=287 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020215 df_game_rows=287 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [29 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020216 from data/20252026/shifts/shifts_2025020216.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=26 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=8 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020216 rows_in_game=261 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020216 df_game_rows=261 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020217 from data/20252026/shifts/shifts_2025020217.pkl Processing game 1760/1978: 2025020217... xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=13 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=2 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 6 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 132 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=10 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 138 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 14 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 247 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020217 rows_in_game=247 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020217 df_game_rows=247 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020218 from data/20252026/shifts/shifts_2025020218.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=6 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 17 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=7 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=26 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=28 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=27 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=27 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=7 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=28 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020218 df_game_rows=270 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020219 from data/20252026/shifts/shifts_2025020219.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=9 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=9 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=29 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020219 df_game_rows=229 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 7 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020220 from data/20252026/shifts/shifts_2025020220.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=11 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 170 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=13 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=26 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=21 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=24 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 170 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020220 rows_in_game=237 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020220 df_game_rows=237 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [1 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020221 from data/20252026/shifts/shifts_2025020221.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [15 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [15 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=8 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=11 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 293 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020221 rows_in_game=293 parsed_intervals=11 team_for_game=15 _apply_intervals: game 2025020221 df_game_rows=293 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 5 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020222 from data/20252026/shifts/shifts_2025020222.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=5 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 112 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=11 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=6 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=22 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=3 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 8 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=6 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=10 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020222 df_game_rows=304 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020223 from data/20252026/shifts/shifts_2025020223.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=7 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 239 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=26 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [18 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=11 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020223 rows_in_game=284 parsed_intervals=7 team_for_game=4 _apply_intervals: game 2025020223 df_game_rows=284 Filtered season dataframe to 239 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} INFO:root:Loaded cached shifts for game 2025020224 from data/20252026/shifts/shifts_2025020224.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [25 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [25 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 264 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020224 df_game_rows=264 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [25 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020225 from data/20252026/shifts/shifts_2025020225.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=23 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 183 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 183 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [54 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020225 rows_in_game=253 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020225 df_game_rows=253 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} INFO:root:Loaded cached shifts for game 2025020226 from data/20252026/shifts/shifts_2025020226.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=9 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=26 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020226 rows_in_game=243 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020226 df_game_rows=243 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [26 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} INFO:root:Loaded cached shifts for game 2025020227 from data/20252026/shifts/shifts_2025020227.pkl Processing game 1770/1978: 2025020227... xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=9 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=9 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=9 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 292 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020227 rows_in_game=292 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020227 df_game_rows=292 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020228 from data/20252026/shifts/shifts_2025020228.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=6 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 222 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=28 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=26 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=6 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 222 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 2 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020228 rows_in_game=246 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020228 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020229 from data/20252026/shifts/shifts_2025020229.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 105 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=6 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=8 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 235 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=9 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 235 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=28 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=6 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 283 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020229 rows_in_game=283 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020229 df_game_rows=283 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020230 from data/20252026/shifts/shifts_2025020230.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=8 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 185 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=9 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=8 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 185 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=27 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020230 rows_in_game=245 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020230 df_game_rows=245 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [28 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} INFO:root:Loaded cached shifts for game 2025020231 from data/20252026/shifts/shifts_2025020231.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=26 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=13 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=6 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=13 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=6 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [5 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020231 rows_in_game=263 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020231 df_game_rows=263 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [1 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020232 from data/20252026/shifts/shifts_2025020232.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=13 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [4 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=9 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=13 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020232 rows_in_game=251 parsed_intervals=13 team_for_game=9 _apply_intervals: game 2025020232 df_game_rows=251 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020233 from data/20252026/shifts/shifts_2025020233.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 176 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=25 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 176 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=25 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020233 rows_in_game=240 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020233 df_game_rows=240 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [18 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020234 from data/20252026/shifts/shifts_2025020234.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 109 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=5 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=4 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 153 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=8 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 194 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 323 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020234 df_game_rows=323 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} INFO:root:Loaded cached shifts for game 2025020235 from data/20252026/shifts/shifts_2025020235.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=7 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=23 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=23 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=7 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=28 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020235 rows_in_game=253 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020235 df_game_rows=253 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 8 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020236 from data/20252026/shifts/shifts_2025020236.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=6 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=24 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=7 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=7 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [14 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020236 rows_in_game=250 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020236 df_game_rows=250 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020237 from data/20252026/shifts/shifts_2025020237.pkl Processing game 1780/1978: 2025020237... xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=8 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=8 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020237 rows_in_game=257 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020237 df_game_rows=257 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [3 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020238 from data/20252026/shifts/shifts_2025020238.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=30 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=8 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 249 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=31 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=8 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 249 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [12 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020238 df_game_rows=307 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} INFO:root:Loaded cached shifts for game 2025020239 from data/20252026/shifts/shifts_2025020239.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=10 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=12 team_for_game=19 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=10 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [19 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020239 rows_in_game=254 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020239 df_game_rows=254 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020240 from data/20252026/shifts/shifts_2025020240.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=8 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 15 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 131 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=7 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [22 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=7 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020240 rows_in_game=259 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020240 df_game_rows=259 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020241 from data/20252026/shifts/shifts_2025020241.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 193 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=9 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 193 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020241 rows_in_game=265 parsed_intervals=11 team_for_game=29 _apply_intervals: game 2025020241 df_game_rows=265 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [23 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020242 from data/20252026/shifts/shifts_2025020242.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=11 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=6 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 248 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=7 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 12 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=29 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=29 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [54 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=6 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 248 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [54 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=27 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 112 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [54 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=28 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 107 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 298 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020242 df_game_rows=298 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020243 from data/20252026/shifts/shifts_2025020243.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020243 rows_in_game=277 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020243 df_game_rows=277 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [28 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} INFO:root:Loaded cached shifts for game 2025020244 from data/20252026/shifts/shifts_2025020244.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=9 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=9 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020244 rows_in_game=278 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020244 df_game_rows=278 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [17 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020245 from data/20252026/shifts/shifts_2025020245.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=9 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=25 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=8 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=9 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 5 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 256 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020245 rows_in_game=256 parsed_intervals=9 team_for_game=26 _apply_intervals: game 2025020245 df_game_rows=256 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020246 from data/20252026/shifts/shifts_2025020246.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=31 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [12 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=9 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=28 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=30 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 284 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [10 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020247 from data/20252026/shifts/shifts_2025020247.pkl Processing game 1790/1978: 2025020247... xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=12 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=11 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 220 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020247 rows_in_game=260 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020247 df_game_rows=260 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 9 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020248 from data/20252026/shifts/shifts_2025020248.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 196 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=9 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 196 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [25 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020248 rows_in_game=259 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020248 df_game_rows=259 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020249 from data/20252026/shifts/shifts_2025020249.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=9 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 210 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=9 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 210 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020249 rows_in_game=279 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020249 df_game_rows=279 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [30 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020250 from data/20252026/shifts/shifts_2025020250.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=25 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=27 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=27 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 209 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020250 rows_in_game=278 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020250 df_game_rows=278 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [23 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020251 from data/20252026/shifts/shifts_2025020251.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 219 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=25 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=26 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 219 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=9 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [24 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 278 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020251 df_game_rows=278 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} INFO:root:Loaded cached shifts for game 2025020252 from data/20252026/shifts/shifts_2025020252.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=15 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=8 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 181 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=15 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=26 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=8 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 181 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [1 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020252 rows_in_game=238 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020252 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [2 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020253 from data/20252026/shifts/shifts_2025020253.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=10 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 161 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=6 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=13 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=4 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 137 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=11 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 3 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 258 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020253 rows_in_game=258 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020253 df_game_rows=258 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} INFO:root:Loaded cached shifts for game 2025020254 from data/20252026/shifts/shifts_2025020254.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=28 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 279 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020254 rows_in_game=279 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020254 df_game_rows=279 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020255 from data/20252026/shifts/shifts_2025020255.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=23 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=11 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=8 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=9 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=6 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=6 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [54 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020255 rows_in_game=262 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020255 df_game_rows=262 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} INFO:root:Loaded cached shifts for game 2025020256 from data/20252026/shifts/shifts_2025020256.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 155 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=10 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=10 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=7 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=9 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 117 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=8 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=9 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 6 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 307 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020256 df_game_rows=307 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} INFO:root:Loaded cached shifts for game 2025020257 from data/20252026/shifts/shifts_2025020257.pkl Processing game 1800/1978: 2025020257... xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=20 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 257 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020257 rows_in_game=257 parsed_intervals=4 team_for_game=26 _apply_intervals: game 2025020257 df_game_rows=257 Filtered season dataframe to 10 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 8 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020258 from data/20252026/shifts/shifts_2025020258.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=13 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 187 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=30 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=20 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 18 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=30 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=15 team_for_game=9 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=9 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=8 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 187 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 241 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020258 rows_in_game=241 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020258 df_game_rows=241 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 9 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020259 from data/20252026/shifts/shifts_2025020259.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=12 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=12 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=10 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 188 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=12 team_for_game=12 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=11 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=25 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 188 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020259 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [12 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020260 from data/20252026/shifts/shifts_2025020260.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=6 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 219 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=28 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=6 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 219 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020260 rows_in_game=266 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020260 df_game_rows=266 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [19 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020261 from data/20252026/shifts/shifts_2025020261.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=27 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=10 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 187 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=26 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=24 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=10 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 187 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=10 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=23 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 237 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020261 rows_in_game=237 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020261 df_game_rows=237 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [30 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020262 from data/20252026/shifts/shifts_2025020262.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=25 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=11 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 225 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 225 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=26 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [21 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020262 df_game_rows=296 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020263 from data/20252026/shifts/shifts_2025020263.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=8 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 15 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=29 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 135 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=12 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=12 team_for_game=23 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=8 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 18 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 163 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=27 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=10 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [23 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020263 rows_in_game=259 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020263 df_game_rows=259 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} INFO:root:Loaded cached shifts for game 2025020264 from data/20252026/shifts/shifts_2025020264.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=6 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=13 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=8 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=25 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=6 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020264 rows_in_game=274 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020264 df_game_rows=274 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [55 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020265 from data/20252026/shifts/shifts_2025020265.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=5 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=4 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 10 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=5 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 169 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=19 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=11 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 191 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=11 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [14 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020265 rows_in_game=294 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020265 df_game_rows=294 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020266 from data/20252026/shifts/shifts_2025020266.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=29 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=29 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=12 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=30 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=11 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=8 team_for_game=4 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=8 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 203 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 4 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 248 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020266 rows_in_game=248 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020266 df_game_rows=248 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020267 from data/20252026/shifts/shifts_2025020267.pkl Processing game 1810/1978: 2025020267... xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=29 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=7 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=30 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=28 team_for_game=68 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=26 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [68 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=7 team_for_game=7 _apply_intervals: game 2025020267 df_game_rows=272 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} INFO:root:Loaded cached shifts for game 2025020268 from data/20252026/shifts/shifts_2025020268.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=12 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=6 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 222 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=25 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=7 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=3 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 6 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=6 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 222 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=27 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [16 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 265 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020268 rows_in_game=265 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020268 df_game_rows=265 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} INFO:root:Loaded cached shifts for game 2025020269 from data/20252026/shifts/shifts_2025020269.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=24 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=6 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=28 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=6 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=6 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [10 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 261 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020269 rows_in_game=261 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020269 df_game_rows=261 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020270 from data/20252026/shifts/shifts_2025020270.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=11 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=7 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 155 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=6 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=7 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 134 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020270 rows_in_game=255 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020270 df_game_rows=255 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020271 from data/20252026/shifts/shifts_2025020271.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 11 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=22 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=31 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=30 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [9 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 269 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020271 df_game_rows=269 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [6 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020272 from data/20252026/shifts/shifts_2025020272.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=11 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=10 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=6 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 143 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 175 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [17 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=11 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=12 team_for_game=17 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} INFO:root:Loaded cached shifts for game 2025020273 from data/20252026/shifts/shifts_2025020273.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=27 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=26 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 229 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [13 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020273 rows_in_game=291 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020273 df_game_rows=291 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020274 from data/20252026/shifts/shifts_2025020274.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 251 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020274 rows_in_game=251 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020274 df_game_rows=251 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020275 from data/20252026/shifts/shifts_2025020275.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 196 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=9 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 196 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=12 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=16 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 7 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020275 df_game_rows=291 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} INFO:root:Loaded cached shifts for game 2025020276 from data/20252026/shifts/shifts_2025020276.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=1 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 3 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=28 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=10 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=9 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 200 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=15 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 243 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020276 rows_in_game=243 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020276 df_game_rows=243 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [20 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020277 from data/20252026/shifts/shifts_2025020277.pkl Processing game 1820/1978: 2025020277... xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=21 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=10 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=27 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 156 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 156 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=9 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 2 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020277 rows_in_game=252 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020277 df_game_rows=252 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [54 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020278 from data/20252026/shifts/shifts_2025020278.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 184 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=25 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=7 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 184 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=29 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=22 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [52 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 233 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020278 rows_in_game=233 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020278 df_game_rows=233 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020279 from data/20252026/shifts/shifts_2025020279.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=28 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=31 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=36 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=27 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=31 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 105 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=11 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 253 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=12 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=7 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 253 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=2 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 9 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=26 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 288 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} INFO:root:Loaded cached shifts for game 2025020280 from data/20252026/shifts/shifts_2025020280.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=28 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=25 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=5 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 199 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=28 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=5 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 199 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=28 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=13 team_for_game=19 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 235 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020280 rows_in_game=235 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020280 df_game_rows=235 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} INFO:root:Loaded cached shifts for game 2025020281 from data/20252026/shifts/shifts_2025020281.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=6 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=6 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=22 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 232 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020281 rows_in_game=232 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020281 df_game_rows=232 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020282 from data/20252026/shifts/shifts_2025020282.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=28 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=28 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=11 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 186 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=10 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 277 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020282 rows_in_game=277 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020282 df_game_rows=277 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [68 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020283 from data/20252026/shifts/shifts_2025020283.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=14 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 286 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020283 rows_in_game=286 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020283 df_game_rows=286 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} INFO:root:Loaded cached shifts for game 2025020284 from data/20252026/shifts/shifts_2025020284.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 182 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [24 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 259 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020284 df_game_rows=259 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020285 from data/20252026/shifts/shifts_2025020285.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=11 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [8 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 328 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [6 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020286 from data/20252026/shifts/shifts_2025020286.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=8 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 192 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=13 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=8 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 192 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=11 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=17 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=16 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=20 team_for_game=26 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 9 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 231 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020286 rows_in_game=231 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020286 df_game_rows=231 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [26 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020287 from data/20252026/shifts/shifts_2025020287.pkl Processing game 1830/1978: 2025020287... xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=10 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=29 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=10 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 201 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=11 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=26 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 7 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=14 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=25 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020288 from data/20252026/shifts/shifts_2025020288.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=6 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 236 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=30 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=24 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 107 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=26 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=6 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 236 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=25 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=22 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=10 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=29 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 109 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=14 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 291 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020288 rows_in_game=291 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020288 df_game_rows=291 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 1 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020289 from data/20252026/shifts/shifts_2025020289.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=6 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 251 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=11 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 115 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 113 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=6 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 251 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=10 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020289 df_game_rows=282 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020290 from data/20252026/shifts/shifts_2025020290.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=6 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 270 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 111 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 111 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=28 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 115 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=28 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 119 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=11 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=13 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=9 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=6 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 270 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=10 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 322 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020290 rows_in_game=322 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020290 df_game_rows=322 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020291 from data/20252026/shifts/shifts_2025020291.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=9 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 105 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=34 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=29 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=8 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=29 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=24 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 276 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020291 rows_in_game=276 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020291 df_game_rows=276 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [10 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020292 from data/20252026/shifts/shifts_2025020292.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=30 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=26 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=11 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=25 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=6 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 231 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=6 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 231 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 262 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020292 rows_in_game=262 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020292 df_game_rows=262 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020293 from data/20252026/shifts/shifts_2025020293.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=22 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=17 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=7 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=24 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=21 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=7 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 233 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=17 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=27 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=23 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=27 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [25 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 255 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020293 rows_in_game=255 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020293 df_game_rows=255 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 4 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020294 from data/20252026/shifts/shifts_2025020294.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=34 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=23 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=20 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=6 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 252 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=29 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=33 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=29 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=32 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 110 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=23 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=6 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 252 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=21 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 304 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020294 rows_in_game=304 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020294 df_game_rows=304 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020295 from data/20252026/shifts/shifts_2025020295.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=10 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 116 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=13 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 151 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=13 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=14 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=12 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=7 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=10 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=10 team_for_game=55 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [55 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 253 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020295 rows_in_game=253 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020295 df_game_rows=253 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} INFO:root:Loaded cached shifts for game 2025020296 from data/20252026/shifts/shifts_2025020296.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=21 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=19 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=23 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=20 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=7 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=21 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=23 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=22 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=26 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=24 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=20 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=7 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 207 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=16 team_for_game=18 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 249 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020296 rows_in_game=249 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020296 df_game_rows=249 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 18] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} INFO:root:Loaded cached shifts for game 2025020297 from data/20252026/shifts/shifts_2025020297.pkl Processing game 1840/1978: 2025020297... xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=25 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=9 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=7 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=24 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=23 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=9 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 270 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020297 rows_in_game=270 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020297 df_game_rows=270 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [14 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} INFO:root:Loaded cached shifts for game 2025020298 from data/20252026/shifts/shifts_2025020298.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=26 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=10 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=28 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=14 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=21 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=8 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 197 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=27 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=12 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=20 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=26 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=8 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 197 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [54 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020298 rows_in_game=267 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020298 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020299 from data/20252026/shifts/shifts_2025020299.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=9 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=9 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=17 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=15 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=14 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 297 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020299 rows_in_game=297 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020299 df_game_rows=297 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} INFO:root:Loaded cached shifts for game 2025020300 from data/20252026/shifts/shifts_2025020300.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=10 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=8 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=24 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=27 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=8 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 198 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=13 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=21 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=12 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=15 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=10 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=7 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=11 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 266 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020300 rows_in_game=266 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020300 df_game_rows=266 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020301 from data/20252026/shifts/shifts_2025020301.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=12 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 243 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020301 df_game_rows=309 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [ 6 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020302 from data/20252026/shifts/shifts_2025020302.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=26 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=7 team_for_game=7 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 250 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=25 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=25 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 106 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=10 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [ 7 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 250 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=14 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 281 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020302 df_game_rows=281 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020303 from data/20252026/shifts/shifts_2025020303.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=22 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=4 team_for_game=13 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 13 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=14 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=25 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=11 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 301 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020303 rows_in_game=301 parsed_intervals=13 team_for_game=23 _apply_intervals: game 2025020303 df_game_rows=301 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [13 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} INFO:root:Loaded cached shifts for game 2025020304 from data/20252026/shifts/shifts_2025020304.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 20 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=7 team_for_game=15 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=7 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 195 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=11 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020304 rows_in_game=246 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020304 df_game_rows=246 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [15 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020305 from data/20252026/shifts/shifts_2025020305.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=24 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=25 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=27 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=28 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=14 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=5 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=22 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=27 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=23 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=25 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=26 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=5 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 240 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020305 rows_in_game=240 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020305 df_game_rows=240 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [29 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} INFO:root:Loaded cached shifts for game 2025020306 from data/20252026/shifts/shifts_2025020306.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=8 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=26 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=11 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=26 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=24 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=13 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [24 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 254 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=29 team_for_game=68 _apply_intervals: game 2025020306 df_game_rows=254 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020307 from data/20252026/shifts/shifts_2025020307.pkl Processing game 1850/1978: 2025020307... xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=27 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=13 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=7 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=23 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=7 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 206 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=30 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [10 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 267 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020307 rows_in_game=267 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020307 df_game_rows=267 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020308 from data/20252026/shifts/shifts_2025020308.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=8 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=28 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=29 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=25 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=18 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=27 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=15 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=23 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=26 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [17 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020308 rows_in_game=238 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020308 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020309 from data/20252026/shifts/shifts_2025020309.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=11 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=8 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 13 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=24 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=14 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=24 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=10 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 193 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=20 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=25 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=10 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 193 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=14 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=19 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [14 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 250 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020309 rows_in_game=250 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020309 df_game_rows=250 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} INFO:root:Loaded cached shifts for game 2025020310 from data/20252026/shifts/shifts_2025020310.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=27 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=24 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=6 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 185 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=26 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=25 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=6 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 185 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 229 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020310 rows_in_game=229 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020310 df_game_rows=229 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [25 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020311 from data/20252026/shifts/shifts_2025020311.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=6 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=27 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=24 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=14 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=52 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=24 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [52 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=22 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=6 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 252 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020311 rows_in_game=252 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020311 df_game_rows=252 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020312 from data/20252026/shifts/shifts_2025020312.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=11 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 224 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=10 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=17 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=22 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=11 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 224 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=26 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=16 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=25 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [16 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 305 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020312 rows_in_game=305 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020312 df_game_rows=305 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020313 from data/20252026/shifts/shifts_2025020313.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=26 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=25 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=23 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=8 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 230 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=11 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=24 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 118 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=21 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=8 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 230 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=10 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 108 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=10 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 268 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020313 rows_in_game=268 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020313 df_game_rows=268 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [54 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020314 from data/20252026/shifts/shifts_2025020314.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=19 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=9 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=16 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=11 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=18 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=9 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=22 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [28 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=19 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020314 rows_in_game=246 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020314 df_game_rows=246 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} INFO:root:Loaded cached shifts for game 2025020315 from data/20252026/shifts/shifts_2025020315.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=22 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=11 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 27 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=20 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=23 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=13 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=21 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=11 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=24 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=12 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=9 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 202 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=3 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 9 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [15 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=16 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 239 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020315 rows_in_game=239 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020315 df_game_rows=239 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020316 from data/20252026/shifts/shifts_2025020316.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=26 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=25 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=15 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=24 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=13 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=6 team_for_game=7 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 239 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=6 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 239 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=30 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=14 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=12 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=27 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=13 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=29 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=20 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [ 7 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=24 team_for_game=20 _apply_intervals: game 2025020316 df_game_rows=271 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} team=20 DEBUG: xgs_map df_filtered unique teams: [20 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=20 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 20} INFO:root:Loaded cached shifts for game 2025020317 from data/20252026/shifts/shifts_2025020317.pkl Processing game 1860/1978: 2025020317... xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=25 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=26 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=27 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=6 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=30 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=22 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=6 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [30 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=25 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=14 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020317 df_game_rows=274 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020318 from data/20252026/shifts/shifts_2025020318.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=8 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 282 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=12 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=13 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 98 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 100 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 103 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=12 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=8 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 282 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 117 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 321 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020318 df_game_rows=321 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [24 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} INFO:root:Loaded cached shifts for game 2025020319 from data/20252026/shifts/shifts_2025020319.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=29 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=16 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=28 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=31 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 101 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=19 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=7 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=18 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=23 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=30 team_for_game=10 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 102 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=26 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 119 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=29 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 124 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 241 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=21 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 289 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020319 rows_in_game=289 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020319 df_game_rows=289 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [10 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020320 from data/20252026/shifts/shifts_2025020320.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [15 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=7 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 18 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=13 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=22 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=6 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=10 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=3 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 165 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [15 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=9 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 26 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=9 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=18 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=15 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=19 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=16 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [15 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=11 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=12 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=17 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} xgs_map: using provided DataFrame (in-memory) -> rows= 287 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020320 rows_in_game=287 parsed_intervals=8 team_for_game=15 _apply_intervals: game 2025020320 df_game_rows=287 Filtered season dataframe to 184 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} team=15 DEBUG: xgs_map df_filtered unique teams: [ 8 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=15 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 15} INFO:root:Loaded cached shifts for game 2025020321 from data/20252026/shifts/shifts_2025020321.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=16 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=7 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=21 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=27 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=26 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=20 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=7 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 216 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020321 rows_in_game=272 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020321 df_game_rows=272 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [17 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} INFO:root:Loaded cached shifts for game 2025020322 from data/20252026/shifts/shifts_2025020322.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [22 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=21 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=17 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=12 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=13 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=6 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [22 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=25 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=18 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=16 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=24 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=23 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=22 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=7 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=24 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=15 team_for_game=14 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} team=14 DEBUG: xgs_map df_filtered unique teams: [22 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=14 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 14} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=26 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=18 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=27 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=21 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=22 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=7 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 217 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=17 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=15 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [22 14] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=20 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=19 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=13 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} xgs_map: using provided DataFrame (in-memory) -> rows= 271 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020322 rows_in_game=271 parsed_intervals=23 team_for_game=22 _apply_intervals: game 2025020322 df_game_rows=271 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} team=22 DEBUG: xgs_map df_filtered unique teams: [14 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=22 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 22} INFO:root:Loaded cached shifts for game 2025020323 from data/20252026/shifts/shifts_2025020323.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=5 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=25 team_for_game=13 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=20 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=15 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=23 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=12 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=5 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 208 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=24 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=16 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [13 1] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=21 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=18 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=13 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} xgs_map: using provided DataFrame (in-memory) -> rows= 245 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020323 rows_in_game=245 parsed_intervals=17 team_for_game=1 _apply_intervals: game 2025020323 df_game_rows=245 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} team=1 DEBUG: xgs_map df_filtered unique teams: [ 1 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=1 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 1} INFO:root:Loaded cached shifts for game 2025020324 from data/20252026/shifts/shifts_2025020324.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=29 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=28 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=25 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=14 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=26 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=16 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=15 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=20 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=19 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=21 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=6 team_for_game=4 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} team=4 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=4 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 4} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=29 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=25 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=21 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=6 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=30 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 4 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 263 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020324 rows_in_game=263 parsed_intervals=19 team_for_game=19 _apply_intervals: game 2025020324 df_game_rows=263 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020325 from data/20252026/shifts/shifts_2025020325.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=6 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=8 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=13 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=15 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 81 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 21 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=11 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=21 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=19 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [16 55] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=8 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 190 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=16 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=20 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=12 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 23 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} xgs_map: using provided DataFrame (in-memory) -> rows= 236 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020325 rows_in_game=236 parsed_intervals=17 team_for_game=55 _apply_intervals: game 2025020325 df_game_rows=236 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} team=55 DEBUG: xgs_map df_filtered unique teams: [55 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=55 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 55} INFO:root:Loaded cached shifts for game 2025020326 from data/20252026/shifts/shifts_2025020326.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=26 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=19 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=23 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=14 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=20 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=18 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=3 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 8 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=22 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 96 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=24 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=9 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 24 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=17 team_for_game=21 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} team=21 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=21 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 21} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=27 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=12 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=26 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=28 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=23 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=18 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 211 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=14 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=19 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=16 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=25 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=20 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=11 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 25 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [21 3] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} xgs_map: using provided DataFrame (in-memory) -> rows= 282 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020326 rows_in_game=282 parsed_intervals=22 team_for_game=3 _apply_intervals: game 2025020326 df_game_rows=282 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} team=3 DEBUG: xgs_map df_filtered unique teams: [ 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=3 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 3} INFO:root:Loaded cached shifts for game 2025020327 from data/20252026/shifts/shifts_2025020327.pkl Processing game 1870/1978: 2025020327... xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=15 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=20 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=26 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=14 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=21 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=16 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=8 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=17 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=12 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=24 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=23 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=25 team_for_game=68 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} team=68 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=68 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 68} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=24 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=25 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=22 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=19 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=17 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=25 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=8 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 223 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=20 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=16 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=15 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [54 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} xgs_map: using provided DataFrame (in-memory) -> rows= 272 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020327 rows_in_game=272 parsed_intervals=18 team_for_game=54 _apply_intervals: game 2025020327 df_game_rows=272 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} team=54 DEBUG: xgs_map df_filtered unique teams: [68 54] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=54 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 54} INFO:root:Loaded cached shifts for game 2025020328 from data/20252026/shifts/shifts_2025020328.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 37 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=21 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=22 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=20 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=10 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=16 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=15 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=19 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=17 team_for_game=23 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} team=23 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=23 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 23} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=20 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=22 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=19 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=15 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=14 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=16 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=23 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=10 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=13 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=12 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [25 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} xgs_map: using provided DataFrame (in-memory) -> rows= 274 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020328 rows_in_game=274 parsed_intervals=18 team_for_game=25 _apply_intervals: game 2025020328 df_game_rows=274 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} team=25 DEBUG: xgs_map df_filtered unique teams: [23 25] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=25 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 25} INFO:root:Loaded cached shifts for game 2025020329 from data/20252026/shifts/shifts_2025020329.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=18 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=17 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=9 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=15 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=20 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=22 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=24 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=19 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=16 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=24 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} team=24 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=24 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 24} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=26 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=25 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=15 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=24 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=19 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=9 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 227 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=10 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=18 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=7 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 19 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=29 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [24 9] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=9 _apply_intervals: game 2025020329 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} team=9 DEBUG: xgs_map df_filtered unique teams: [ 9 24] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=9 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 9} INFO:root:Loaded cached shifts for game 2025020330 from data/20252026/shifts/shifts_2025020330.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=21 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=15 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=17 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=14 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=10 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 180 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=22 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=20 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=13 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=28 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} team=28 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=28 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 28} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=23 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 180 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=15 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [28 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=12 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=25 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 280 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020330 rows_in_game=280 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020330 df_game_rows=280 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} INFO:root:Loaded cached shifts for game 2025020331 from data/20252026/shifts/shifts_2025020331.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=6 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 225 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=18 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=22 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 85 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=16 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=7 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} team=7 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=7 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 7} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=14 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=6 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 225 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 94 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=16 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [16 7] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=18 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} xgs_map: using provided DataFrame (in-memory) -> rows= 260 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=22 team_for_game=16 _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} team=16 DEBUG: xgs_map df_filtered unique teams: [ 7 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=16 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 16} INFO:root:Loaded cached shifts for game 2025020332 from data/20252026/shifts/shifts_2025020332.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=4 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 135 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=10 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=12 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=8 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 28 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=11 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=17 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=16 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=5 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} team=5 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=5 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 5} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=23 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=11 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 35 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=6 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 12 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=13 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=16 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=24 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=15 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 164 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=12 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [30 5] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=18 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=14 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} xgs_map: using provided DataFrame (in-memory) -> rows= 246 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020332 rows_in_game=246 parsed_intervals=17 team_for_game=30 _apply_intervals: game 2025020332 df_game_rows=246 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} team=30 DEBUG: xgs_map df_filtered unique teams: [ 5 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=30 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 30} INFO:root:Loaded cached shifts for game 2025020333 from data/20252026/shifts/shifts_2025020333.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=9 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=25 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=29 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 88 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=17 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=12 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=28 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=11 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=26 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=21 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=16 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=13 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=22 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=15 team_for_game=52 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} team=52 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=52 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 52} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=26 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=23 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=24 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 89 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=21 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=27 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=16 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=9 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 221 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=20 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=12 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=19 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 58 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [12 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=13 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} xgs_map: using provided DataFrame (in-memory) -> rows= 273 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=11 team_for_game=12 _apply_intervals: game 2025020333 df_game_rows=273 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} team=12 DEBUG: xgs_map df_filtered unique teams: [52 12] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=12 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 12} INFO:root:Loaded cached shifts for game 2025020334 from data/20252026/shifts/shifts_2025020334.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 92 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=24 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=16 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=10 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 32 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=18 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=7 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 22 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=19 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=9 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=21 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=17 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=22 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=13 team_for_game=26 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} team=26 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=26 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 26} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=9 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=16 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=19 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 67 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=23 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=24 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=22 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=15 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=13 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=18 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=25 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 93 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=17 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [26 6] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} xgs_map: using provided DataFrame (in-memory) -> rows= 285 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=6 _apply_intervals: game 2025020334 df_game_rows=285 Filtered season dataframe to 59 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} team=6 DEBUG: xgs_map df_filtered unique teams: [ 6 26] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=6 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 6} INFO:root:Loaded cached shifts for game 2025020335 from data/20252026/shifts/shifts_2025020335.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=26 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 95 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 87 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=12 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=17 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=13 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=19 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=7 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=18 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=12 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 31 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=23 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=24 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 80 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=22 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=15 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=20 team_for_game=17 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} team=17 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=17 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 17} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=13 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=22 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=23 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=24 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 97 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 61 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=17 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 34 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=15 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=18 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 73 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=12 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 33 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=7 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 232 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=20 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=19 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [17 29] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} xgs_map: using provided DataFrame (in-memory) -> rows= 296 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020335 rows_in_game=296 parsed_intervals=16 team_for_game=29 _apply_intervals: game 2025020335 df_game_rows=296 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} team=29 DEBUG: xgs_map df_filtered unique teams: [29 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=29 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 29} INFO:root:Loaded cached shifts for game 2025020336 from data/20252026/shifts/shifts_2025020336.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=23 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=19 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=15 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=18 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=4 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 54 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 60 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=22 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 83 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=14 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=16 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 62 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=12 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 36 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=13 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=21 team_for_game=2 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} team=2 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=2 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 2} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=26 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 99 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=16 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=24 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=22 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 49 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 40 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 45 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=4 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 205 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=15 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 43 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [ 2 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=27 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=18 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 53 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=14 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=17 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} xgs_map: using provided DataFrame (in-memory) -> rows= 238 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020336 rows_in_game=238 parsed_intervals=20 team_for_game=19 _apply_intervals: game 2025020336 df_game_rows=238 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} team=19 DEBUG: xgs_map df_filtered unique teams: [19 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=19 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 19} INFO:root:Loaded cached shifts for game 2025020337 from data/20252026/shifts/shifts_2025020337.pkl Processing game 1880/1978: 2025020337... xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=21 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 75 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 48 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 51 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=16 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=18 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=19 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=9 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 212 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 39 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=11 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 57 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=15 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=12 team_for_game=8 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} team=8 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=8 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 8} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 64 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=15 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 47 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=11 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 38 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 66 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 90 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=5 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 63 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 79 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=20 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 78 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=5 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 121 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 30 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=17 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 70 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=12 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 29 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=14 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 52 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=21 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=10 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 41 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [ 8 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=22 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 72 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} xgs_map: using provided DataFrame (in-memory) -> rows= 290 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020337 rows_in_game=290 parsed_intervals=25 team_for_game=10 _apply_intervals: game 2025020337 df_game_rows=290 Filtered season dataframe to 91 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} team=10 DEBUG: xgs_map df_filtered unique teams: [10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=10 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 10} INFO:root:Loaded cached shifts for game 2025020338 from data/20252026/shifts/shifts_2025020338.pkl xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 86 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 82 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [22 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 65 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 68 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 84 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [22 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 44 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 71 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [22 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=21 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 55 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 46 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 76 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 77 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 50 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=8 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 116 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=20 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 69 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 74 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [22 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 56 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} xgs_map: using provided DataFrame (in-memory) -> rows= 309 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020338 rows_in_game=309 parsed_intervals=9 team_for_game=13 _apply_intervals: game 2025020338 df_game_rows=309 Filtered season dataframe to 42 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [13 22] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=13 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13}