--- Starting Daily Update for Season 20252026 --- [1/4] Updating Game Data... _season: starting fetch for season=20252026, team=all, games=1340, workers=4, use_cache=True Fetching feeds: 1/1340 Fetching feeds: 2/1340 Fetching feeds: 3/1340 Fetching feeds: 4/1340 Fetching feeds: 5/1340 Fetching feeds: 6/1340 Fetching feeds: 7/1340 Fetching feeds: 8/1340 Fetching feeds: 9/1340 Fetching feeds: 10/1340 Fetching feeds: 11/1340 Fetching feeds: 12/1340 Fetching feeds: 13/1340 Fetching feeds: 14/1340 Fetching feeds: 15/1340 Fetching feeds: 16/1340 Fetching feeds: 17/1340 Fetching feeds: 18/1340 Fetching feeds: 19/1340 Fetching feeds: 20/1340 Fetching feeds: 21/1340 Fetching feeds: 22/1340 Fetching feeds: 23/1340 Fetching feeds: 24/1340 Fetching feeds: 25/1340 Fetching feeds: 26/1340 Fetching feeds: 27/1340 Fetching feeds: 28/1340 Fetching feeds: 29/1340 Fetching feeds: 30/1340 Fetching feeds: 31/1340 Fetching feeds: 32/1340 Fetching feeds: 33/1340 Fetching feeds: 34/1340 Fetching feeds: 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Parsing feeds: 1200/1340 Parsing feeds: 1201/1340 Parsing feeds: 1202/1340 Parsing feeds: 1203/1340 Parsing feeds: 1204/1340 Parsing feeds: 1205/1340 Parsing feeds: 1206/1340 Parsing feeds: 1207/1340 Parsing feeds: 1208/1340 Parsing feeds: 1209/1340 Parsing feeds: 1210/1340 Parsing feeds: 1211/1340 Parsing feeds: 1212/1340 Parsing feeds: 1213/1340 Parsing feeds: 1214/1340 Parsing feeds: 1215/1340 Parsing feeds: 1216/1340 Parsing feeds: 1217/1340 Parsing feeds: 1218/1340 Parsing feeds: 1219/1340 Parsing feeds: 1220/1340 Parsing feeds: 1221/1340 Parsing feeds: 1222/1340 Parsing feeds: 1223/1340 Parsing feeds: 1224/1340 Parsing feeds: 1225/1340 Parsing feeds: 1226/1340 Parsing feeds: 1227/1340 Parsing feeds: 1228/1340 Parsing feeds: 1229/1340 Parsing feeds: 1230/1340 Parsing feeds: 1231/1340 Parsing feeds: 1232/1340 Parsing feeds: 1233/1340 Parsing feeds: 1234/1340 Parsing feeds: 1235/1340 Parsing feeds: 1236/1340 Parsing feeds: 1237/1340 Parsing feeds: 1238/1340 Parsing feeds: 1239/1340 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Parsing feeds: 1280/1340 Parsing feeds: 1281/1340 Parsing feeds: 1282/1340 Parsing feeds: 1283/1340 Parsing feeds: 1284/1340 Parsing feeds: 1285/1340 Parsing feeds: 1286/1340 Parsing feeds: 1287/1340 Parsing feeds: 1288/1340 Parsing feeds: 1289/1340 Parsing feeds: 1290/1340 Parsing feeds: 1291/1340 Parsing feeds: 1292/1340 Parsing feeds: 1293/1340 Parsing feeds: 1294/1340 Parsing feeds: 1295/1340 Parsing feeds: 1296/1340 Parsing feeds: 1297/1340 Parsing feeds: 1298/1340 Parsing feeds: 1299/1340 Parsing feeds: 1300/1340 Parsing feeds: 1301/1340 Parsing feeds: 1302/1340 Parsing feeds: 1303/1340 Parsing feeds: 1304/1340 Parsing feeds: 1305/1340 Parsing feeds: 1306/1340 Parsing feeds: 1307/1340 Parsing feeds: 1308/1340 Parsing feeds: 1309/1340 Parsing feeds: 1310/1340 Parsing feeds: 1311/1340 Parsing feeds: 1312/1340 Parsing feeds: 1313/1340 Parsing feeds: 1314/1340 Parsing feeds: 1315/1340 Parsing feeds: 1316/1340 Parsing feeds: 1317/1340 Parsing feeds: 1318/1340 Parsing feeds: 1319/1340 Parsing feeds: 1320/1340 Parsing feeds: 1321/1340 Parsing feeds: 1322/1340 Parsing feeds: 1323/1340 Parsing feeds: 1324/1340 Parsing feeds: 1325/1340 Parsing feeds: 1326/1340 Parsing feeds: 1327/1340 Parsing feeds: 1328/1340 Parsing feeds: 1329/1340 Parsing feeds: 1330/1340 Parsing feeds: 1331/1340 Parsing feeds: 1332/1340 Parsing feeds: 1333/1340 Parsing feeds: 1334/1340 Parsing feeds: 1335/1340 Parsing feeds: 1336/1340 Parsing feeds: 1337/1340 Parsing feeds: 1338/1340 Parsing feeds: 1339/1340 Parsing feeds: 1340/1340 Finished parsing feeds: 1340/1340 INFO:root:Saved season data to data/20252026.csv INFO:root:Finished _season: feeds=1340, records=132324 INFO:root:Loaded cached shifts for game 2025020441 from data/20252026/shifts/shifts_2025020441.pkl INFO:root:Loaded cached shifts for game 2025020442 from data/20252026/shifts/shifts_2025020442.pkl INFO:root:Loaded cached shifts for game 2025020443 from data/20252026/shifts/shifts_2025020443.pkl INFO:root:Loaded cached shifts for game 2025020444 from data/20252026/shifts/shifts_2025020444.pkl INFO:root:Loaded cached shifts for game 2025020445 from data/20252026/shifts/shifts_2025020445.pkl INFO:root:Loaded cached shifts for game 2025020446 from data/20252026/shifts/shifts_2025020446.pkl INFO:root:Loaded cached shifts for game 2025020447 from data/20252026/shifts/shifts_2025020447.pkl INFO:root:Loaded cached shifts for game 2025020448 from data/20252026/shifts/shifts_2025020448.pkl INFO:root:Loaded cached shifts for game 2025020449 from data/20252026/shifts/shifts_2025020449.pkl INFO:root:Loaded cached shifts for game 2025020450 from data/20252026/shifts/shifts_2025020450.pkl INFO:root:Loaded cached shifts for game 2025020451 from data/20252026/shifts/shifts_2025020451.pkl INFO:root:Loaded cached shifts for game 2025020452 from data/20252026/shifts/shifts_2025020452.pkl INFO:root:Loaded cached shifts for game 2025020453 from data/20252026/shifts/shifts_2025020453.pkl INFO:root:Loaded cached shifts for game 2025020454 from data/20252026/shifts/shifts_2025020454.pkl INFO:root:Loaded cached shifts for game 2025020455 from data/20252026/shifts/shifts_2025020455.pkl INFO:root:Loaded cached shifts for game 2025020456 from data/20252026/shifts/shifts_2025020456.pkl INFO:root:Loaded cached shifts for game 2025020457 from data/20252026/shifts/shifts_2025020457.pkl INFO:root:Loaded cached shifts for game 2025020458 from data/20252026/shifts/shifts_2025020458.pkl INFO:root:Loaded cached shifts for game 2025020459 from data/20252026/shifts/shifts_2025020459.pkl Loading season data for 20252026... Loaded season dataframe from data/20252026/20252026.csv -> shape=(126497, 23) INFO:root:Loaded cached shifts for game 2025020429 from data/20252026/shifts/shifts_2025020429.pkl Ensuring xG predictions... Found 32 teams: ['ANA', 'BOS', 'BUF', 'CAR', 'CBJ', 'CGY', 'CHI', 'COL', 'DAL', 'DET', 'EDM', 'FLA', 'LAK', 'MIN', 'MTL', 'NJD', 'NSH', 'NYI', 'NYR', 'OTT', 'PHI', 'PIT', 'SEA', 'SJS', 'STL', 'TBL', 'TOR', 'UTA', 'VAN', 'VGK', 'WPG', 'WSH'] --- PASS 1: Calculating Player Stats (Game-Centric) --- Found 463 games to process. Processing game 10/463: 2025010082... Processing game 20/463: 2025010092... Processing game 30/463: 2025020002... Processing game 40/463: 2025020012... Processing game 50/463: 2025020022... Processing game 60/463: 2025020032... Processing game 70/463: 2025020042... Processing game 80/463: 2025020052... Processing game 90/463: 2025020062... Processing game 100/463: 2025020072... Processing game 110/463: 2025020082... Processing game 120/463: 2025020092... Processing game 130/463: 2025020102... Processing game 140/463: 2025020112... Processing game 150/463: 2025020122... Processing game 160/463: 2025020132... Processing game 170/463: 2025020142... Processing game 180/463: 2025020152... Processing game 190/463: 2025020162... Processing game 200/463: 2025020172... Processing game 210/463: 2025020182... Processing game 220/463: 2025020192... Processing game 230/463: 2025020202... Processing game 240/463: 2025020212... Processing game 250/463: 2025020222... Processing game 260/463: 2025020232... Processing game 270/463: 2025020242... Processing game 280/463: 2025020252... Processing game 290/463: 2025020262... Processing game 300/463: 2025020272... Processing game 310/463: 2025020282... Processing game 320/463: 2025020292... Processing game 330/463: 2025020302... Processing game 340/463: 2025020312... Processing game 350/463: 2025020322... Processing game 360/463: 2025020332... Processing game 370/463: 2025020342... Processing game 380/463: 2025020352... Processing game 390/463: 2025020362... Processing game 400/463: 2025020372... Processing game 410/463: 2025020382... Processing game 420/463: 2025020392... Processing game 430/463: 2025020402... Processing game 440/463: 2025020412... Processing game 450/463: 2025020422... Failed to load cache for 2025020429, recalculating: Expecting value: line 1 column 14896 (char 14895) xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=15 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 Filtered season dataframe to 177 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 13} team=13 DEBUG: xgs_map df_filtered unique teams: [18 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 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 Filtered season dataframe to 177 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} team=18 DEBUG: xgs_map df_filtered unique teams: [18 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=23 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=24 team_for_game=13 _apply_intervals: game 2025020429 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020429 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=19 team_for_game=13 _apply_intervals: game 2025020429 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020429 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=10 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=18 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=15 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=11 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=1 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 _apply_intervals debug: no rows matched any intervals intervals_obj per_game count = 1 game 2025020429 intervals_parsed= 1 skipped_games (sample): [('2025020429', 'no_matches')] df_in shape: (294, 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=18 team_for_game=13 _apply_intervals: game 2025020429 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: [18 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 2025020429 rows_in_game=294 parsed_intervals=12 team_for_game=13 _apply_intervals: game 2025020429 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: [13 18] (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 2025020429 rows_in_game=294 parsed_intervals=17 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=19 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=16 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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 2025020429 rows_in_game=294 parsed_intervals=12 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=9 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=18 condition={'game_state': ['5v5'], 'is_net_empty': [0], 'team': 18} xgs_map: using provided DataFrame (in-memory) -> rows= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=14 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=10 team_for_game=18 _apply_intervals: game 2025020429 df_game_rows=294 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: [13 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= 294 _apply_intervals: intervals per_game count=1 _apply_intervals: game 2025020429 rows_in_game=294 parsed_intervals=13 team_for_game=13 _apply_intervals: game 2025020429 df_game_rows=294 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 18] (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} Failed to save cache for 2025020429: Object of type int64 is not JSON serializable Processing game 460/463: 2025020432... Aggregating stats per player... Saved master stats to analysis/players/20252026/league/league_player_stats.csv --- Calculating Percentiles --- --- PASS 2: Generating Maps --- Generating maps for 797 qualified players (>= 5 games). Processing ANA (Plotting)... Generating maps for 1 players (skipped 23 up-to-date). players: Starting analysis. Scope=season, Team=ANA, Condition={'game_state': ['5v5'], 'is_net_empty': [0]} DEBUG: analyze.players called INFO:root:Loaded cached shifts for game 2025010073 from data/20252026/shifts/shifts_2025010073.pkl INFO:root:Loaded cached shifts for game 2025020091 from data/20252026/shifts/shifts_2025020091.pkl INFO:root:Loaded cached shifts for game 2025020129 from data/20252026/shifts/shifts_2025020129.pkl INFO:root:Loaded cached shifts for game 2025020153 from data/20252026/shifts/shifts_2025020153.pkl INFO:root:Loaded cached shifts for game 2025020180 from data/20252026/shifts/shifts_2025020180.pkl INFO:root:Loaded cached shifts for game 2025020197 from data/20252026/shifts/shifts_2025020197.pkl INFO:root:Loaded cached shifts for game 2025020211 from data/20252026/shifts/shifts_2025020211.pkl INFO:root:Loaded cached shifts for game 2025020224 from data/20252026/shifts/shifts_2025020224.pkl INFO:root:Loaded cached shifts for game 2025020242 from data/20252026/shifts/shifts_2025020242.pkl INFO:root:Loaded cached shifts for game 2025020251 from data/20252026/shifts/shifts_2025020251.pkl INFO:root:Loaded cached shifts for game 2025020262 from data/20252026/shifts/shifts_2025020262.pkl INFO:root:Loaded cached shifts for game 2025020272 from data/20252026/shifts/shifts_2025020272.pkl INFO:root:Loaded cached shifts for game 2025020284 from data/20252026/shifts/shifts_2025020284.pkl INFO:root:Loaded cached shifts for game 2025020306 from data/20252026/shifts/shifts_2025020306.pkl INFO:root:Loaded cached shifts for game 2025020318 from data/20252026/shifts/shifts_2025020318.pkl INFO:root:Loaded cached shifts for game 2025020329 from data/20252026/shifts/shifts_2025020329.pkl INFO:root:Loaded cached shifts for game 2025020409 from data/20252026/shifts/shifts_2025020409.pkl INFO:root:Loaded cached shifts for game 2025020424 from data/20252026/shifts/shifts_2025020424.pkl players: Ensuring xG predictions... players: Found 29 players for team ANA players: Loading league baseline... players: Using baseline path: analysis/league/20252026/5v5 league: loading baseline from analysis/league/20252026/5v5/20252026_league_baseline.npy players: Analyzing 29 players... xgs_map: using provided DataFrame (in-memory) -> rows= 5076 _apply_intervals: intervals per_game count=18 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1068 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482178, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 28 16 14 13 17 1 25 54 52 21 30 68 6 9 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482178, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482178, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025010090 from data/20252026/shifts/shifts_2025010090.pkl INFO:root:Loaded cached shifts for game 2025020021 from data/20252026/shifts/shifts_2025020021.pkl INFO:root:Loaded cached shifts for game 2025020036 from data/20252026/shifts/shifts_2025020036.pkl INFO:root:Loaded cached shifts for game 2025020056 from data/20252026/shifts/shifts_2025020056.pkl INFO:root:Loaded cached shifts for game 2025020070 from data/20252026/shifts/shifts_2025020070.pkl INFO:root:Loaded cached shifts for game 2025020105 from data/20252026/shifts/shifts_2025020105.pkl INFO:root:Loaded cached shifts for game 2025020111 from data/20252026/shifts/shifts_2025020111.pkl INFO:root:Loaded cached shifts for game 2025020346 from data/20252026/shifts/shifts_2025020346.pkl INFO:root:Loaded cached shifts for game 2025020374 from data/20252026/shifts/shifts_2025020374.pkl INFO:root:Loaded cached shifts for game 2025020384 from data/20252026/shifts/shifts_2025020384.pkl INFO:root:Loaded cached shifts for game 2025020403 from data/20252026/shifts/shifts_2025020403.pkl Saved plot to analysis/players/20252026/ANA/8482178_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8020 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1485 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473986, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473986, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473986, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8473986_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2946 _apply_intervals: intervals per_game count=10 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=5 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 Filtered season dataframe to 492 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475798, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 14 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475798, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475798, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8475798_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1561 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478873, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478873, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478873, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8478873_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=28 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=29 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1955 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481563, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481563, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481563, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8481563_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1841 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484762, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 28 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484762, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484762, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8484762_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7948 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1396 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478366, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 28 26 55 5 16 18 6 14 13 17 1 25 54 52 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478366, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478366, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8478366_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7389 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=27 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1599 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483490, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 23 19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483490, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483490, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8483490_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2549 _apply_intervals: intervals per_game count=9 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 Filtered season dataframe to 447 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476458, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 17 30 68 6 54 23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476458, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476458, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8476458_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6554 _apply_intervals: intervals per_game count=23 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1218 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475184, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 17 1 13 25 54 52 21 68 6 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475184, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475184, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8475184_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1648 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484153, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484153, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484153, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8484153_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8020 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1731 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482745, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482745, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482745, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8482745_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5332 _apply_intervals: intervals per_game count=19 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=8 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 846 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480068, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 28 26 55 5 16 18 14 13 17 1 25 52 21 19 68] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480068, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480068, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8480068_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8020 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=28 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=28 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1940 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481605, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481605, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481605, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8481605_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2007 _apply_intervals: intervals per_game count=7 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 Filtered season dataframe to 327 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482118, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 55 16 18 6 13 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482118, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482118, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8482118_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4867 _apply_intervals: intervals per_game count=17 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=6 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1104 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475462, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 68 9 54 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475462, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475462, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8475462_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1454 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=10 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=7 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=5 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=8 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 Filtered season dataframe to 1091 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475852, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 6 54 23 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475852, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475852, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8475852_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8020 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=34 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=28 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=28 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=25 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 2213 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476885, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 26 55 28 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476885, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476885, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8476885_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6177 _apply_intervals: intervals per_game count=22 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=10 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=9 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 908 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477527, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 28 55 5 18 6 14 13 17 1 25 54 52 30 68 9 26 16 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477527, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477527, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8477527_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 3406 _apply_intervals: intervals per_game count=12 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=10 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 518 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478424, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [24 1 13 25 52 21 30 68 6 9 54 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478424, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478424, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8478424_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6210 _apply_intervals: intervals per_game count=22 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=10 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=13 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 Filtered season dataframe to 1038 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481754, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 5 18 6 14 17 1 13 25 54 52 21 30 68 9 23 26 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481754, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481754, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8481754_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=27 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=26 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=27 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=27 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=24 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=14 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=11 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 2143 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482803, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482803, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482803, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8482803_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8244 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010073 rows_in_game=224 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025010073 df_game_rows=224 _apply_intervals: game 2025010090 rows_in_game=287 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025010090 df_game_rows=287 _apply_intervals: game 2025020021 rows_in_game=310 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020021 df_game_rows=310 _apply_intervals: game 2025020036 rows_in_game=294 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020036 df_game_rows=294 _apply_intervals: game 2025020056 rows_in_game=261 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020056 df_game_rows=261 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=ANA _apply_intervals: game 2025020091 rows_in_game=296 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020091 df_game_rows=296 _apply_intervals: game 2025020105 rows_in_game=285 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020105 df_game_rows=285 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020129 rows_in_game=316 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020129 df_game_rows=316 _apply_intervals: game 2025020153 rows_in_game=297 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020153 df_game_rows=297 _apply_intervals: game 2025020180 rows_in_game=286 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020180 df_game_rows=286 _apply_intervals: game 2025020197 rows_in_game=268 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020197 df_game_rows=268 _apply_intervals: game 2025020211 rows_in_game=294 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020211 df_game_rows=294 _apply_intervals: game 2025020224 rows_in_game=264 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020224 df_game_rows=264 _apply_intervals: game 2025020242 rows_in_game=298 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020242 df_game_rows=298 _apply_intervals: game 2025020251 rows_in_game=278 parsed_intervals=17 team_for_game=ANA _apply_intervals: game 2025020251 df_game_rows=278 _apply_intervals: game 2025020262 rows_in_game=296 parsed_intervals=19 team_for_game=ANA _apply_intervals: game 2025020262 df_game_rows=296 _apply_intervals: game 2025020272 rows_in_game=297 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020272 df_game_rows=297 _apply_intervals: game 2025020284 rows_in_game=259 parsed_intervals=12 team_for_game=ANA _apply_intervals: game 2025020284 df_game_rows=259 _apply_intervals: game 2025020306 rows_in_game=254 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020306 df_game_rows=254 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=ANA _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020329 rows_in_game=280 parsed_intervals=21 team_for_game=ANA _apply_intervals: game 2025020329 df_game_rows=280 _apply_intervals: game 2025020346 rows_in_game=296 parsed_intervals=23 team_for_game=ANA _apply_intervals: game 2025020346 df_game_rows=296 _apply_intervals: game 2025020374 rows_in_game=304 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020374 df_game_rows=304 _apply_intervals: game 2025020384 rows_in_game=282 parsed_intervals=18 team_for_game=ANA _apply_intervals: game 2025020384 df_game_rows=282 _apply_intervals: game 2025020403 rows_in_game=249 parsed_intervals=15 team_for_game=ANA _apply_intervals: game 2025020403 df_game_rows=249 _apply_intervals: game 2025020409 rows_in_game=256 parsed_intervals=16 team_for_game=ANA _apply_intervals: game 2025020409 df_game_rows=256 _apply_intervals: game 2025020424 rows_in_game=292 parsed_intervals=22 team_for_game=ANA _apply_intervals: game 2025020424 df_game_rows=292 Filtered season dataframe to 1788 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483445, 'team': 'ANA'} team='ANA' DEBUG: xgs_map df_filtered unique teams: [28 24 26 55 5 16 18 6 14 13 17 1 25 54 52 21 30 68 9 23 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483445, 'team': 'ANA'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=ANA condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483445, 'team': 'ANA'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/ANA/8483445_map.png players: Saved stats to analysis/players/20252026/ANA/player_stats.csv players: Scatter plot includes 23 players (min_games=5) players: Saved scatter plot to analysis/players/20252026/ANA/player_scatter.png players: Analysis complete. Processing BOS (Plotting)... Generating maps for 3 players (skipped 24 up-to-date). players: Starting analysis. Scope=season, Team=BOS, Condition={'game_state': ['5v5'], 'is_net_empty': [0]} DEBUG: analyze.players called INFO:root:Loaded cached shifts for game 2025010078 from data/20252026/shifts/shifts_2025010078.pkl INFO:root:Loaded cached shifts for game 2025010095 from data/20252026/shifts/shifts_2025010095.pkl INFO:root:Loaded cached shifts for game 2025020005 from data/20252026/shifts/shifts_2025020005.pkl INFO:root:Loaded cached shifts for game 2025020008 from data/20252026/shifts/shifts_2025020008.pkl INFO:root:Loaded cached shifts for game 2025020024 from data/20252026/shifts/shifts_2025020024.pkl INFO:root:Loaded cached shifts for game 2025020040 from data/20252026/shifts/shifts_2025020040.pkl INFO:root:Loaded cached shifts for game 2025020092 from data/20252026/shifts/shifts_2025020092.pkl INFO:root:Loaded cached shifts for game 2025020149 from data/20252026/shifts/shifts_2025020149.pkl INFO:root:Loaded cached shifts for game 2025020167 from data/20252026/shifts/shifts_2025020167.pkl INFO:root:Loaded cached shifts for game 2025020181 from data/20252026/shifts/shifts_2025020181.pkl INFO:root:Loaded cached shifts for game 2025020205 from data/20252026/shifts/shifts_2025020205.pkl INFO:root:Loaded cached shifts for game 2025020218 from data/20252026/shifts/shifts_2025020218.pkl INFO:root:Loaded cached shifts for game 2025020234 from data/20252026/shifts/shifts_2025020234.pkl INFO:root:Loaded cached shifts for game 2025020256 from data/20252026/shifts/shifts_2025020256.pkl INFO:root:Loaded cached shifts for game 2025020271 from data/20252026/shifts/shifts_2025020271.pkl INFO:root:Loaded cached shifts for game 2025020285 from data/20252026/shifts/shifts_2025020285.pkl INFO:root:Loaded cached shifts for game 2025020301 from data/20252026/shifts/shifts_2025020301.pkl INFO:root:Loaded cached shifts for game 2025020334 from data/20252026/shifts/shifts_2025020334.pkl INFO:root:Loaded cached shifts for game 2025020351 from data/20252026/shifts/shifts_2025020351.pkl INFO:root:Loaded cached shifts for game 2025020365 from data/20252026/shifts/shifts_2025020365.pkl INFO:root:Loaded cached shifts for game 2025020376 from data/20252026/shifts/shifts_2025020376.pkl INFO:root:Loaded cached shifts for game 2025020394 from data/20252026/shifts/shifts_2025020394.pkl INFO:root:Loaded cached shifts for game 2025020412 from data/20252026/shifts/shifts_2025020412.pkl players: Ensuring xG predictions... players: Found 35 players for team BOS players: Loading league baseline... players: Using baseline path: analysis/league/20252026/5v5 league: loading baseline from analysis/league/20252026/5v5/20252026_league_baseline.npy players: Analyzing 35 players... xgs_map: using provided DataFrame (in-memory) -> rows= 6974 _apply_intervals: intervals per_game count=24 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 Filtered season dataframe to 1272 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482177, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 3 16 7 14 68 9 12 2 10 8 24 26 28 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482177, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482177, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025020069 from data/20252026/shifts/shifts_2025020069.pkl INFO:root:Loaded cached shifts for game 2025020085 from data/20252026/shifts/shifts_2025020085.pkl INFO:root:Loaded cached shifts for game 2025020103 from data/20252026/shifts/shifts_2025020103.pkl INFO:root:Loaded cached shifts for game 2025020128 from data/20252026/shifts/shifts_2025020128.pkl INFO:root:Loaded cached shifts for game 2025020154 from data/20252026/shifts/shifts_2025020154.pkl Saved plot to analysis/players/20252026/BOS/8482177_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7582 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 Filtered season dataframe to 1572 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477956, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477956, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477956, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025020426 from data/20252026/shifts/shifts_2025020426.pkl Saved plot to analysis/players/20252026/BOS/8477956_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8723 _apply_intervals: intervals per_game count=30 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=27 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 2204 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479369, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479369, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479369, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479369_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 3305 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=11 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 Filtered season dataframe to 154 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481556, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 68 12 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481556, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481556, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8481556_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8426 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1606 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483489, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 68 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483489, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483489, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8483489_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7547 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 Filtered season dataframe to 1657 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480035, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 3 16 7 14 68 13 24 21 9 2 10 12 26 28] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480035, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480035, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8480035_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8723 _apply_intervals: intervals per_game count=30 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1631 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479661, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479661, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479661, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479661_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1428 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=2 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 Filtered season dataframe to 215 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481712, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 12 24 26 2] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481712, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481712, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8481712_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6349 _apply_intervals: intervals per_game count=22 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=6 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1492 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476854, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 2 7 12 9 10 8 24 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476854, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476854, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8476854_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5500 _apply_intervals: intervals per_game count=19 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=9 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1040 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477496, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477496, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477496, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8477496_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1715 _apply_intervals: intervals per_game count=6 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=5 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 Filtered season dataframe to 312 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480828, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 24 21 9 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480828, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480828, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8480828_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8446 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=11 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1372 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478401, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478401, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478401, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8478401_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4845 _apply_intervals: intervals per_game count=17 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1181 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481219, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 2 7 12 9 10 8 24 26 28 3 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481219, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481219, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8481219_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8482 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 2131 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477507, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 10 8 12 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477507, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477507, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8477507_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4087 _apply_intervals: intervals per_game count=14 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=10 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 663 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482634, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 10 9 8 12 24 26 28 2 3 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482634, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482634, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8482634_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7646 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1697 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482511, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 3 16 7 14 68 13 24 21 9 10 8 12 26 28 2 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482511, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482511, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8482511_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8723 _apply_intervals: intervals per_game count=30 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=8 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=11 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1403 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476374, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476374, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476374, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8476374_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1797 _apply_intervals: intervals per_game count=6 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=11 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 Filtered season dataframe to 279 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479705, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 13 24 9 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479705, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479705, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479705_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6692 _apply_intervals: intervals per_game count=23 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=9 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1065 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478042, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 68 13 24 21 9 2 12 10 8 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478042, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478042, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8478042_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5797 _apply_intervals: intervals per_game count=20 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=28 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=26 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=27 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=24 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=23 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=25 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=9 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 Filtered season dataframe to 1337 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479325, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 68 13 24 21 9 2 12 10 8] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479325, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479325, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479325_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8384 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=10 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=10 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1457 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480355, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 3 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480355, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480355, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8480355_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8723 _apply_intervals: intervals per_game count=30 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=11 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=10 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1418 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479591, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479591, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479591, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479591_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8723 _apply_intervals: intervals per_game count=30 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=22 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=13 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020234 rows_in_game=323 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020234 df_game_rows=323 _apply_intervals: game 2025020256 rows_in_game=307 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020256 df_game_rows=307 _apply_intervals: game 2025020271 rows_in_game=269 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020271 df_game_rows=269 _apply_intervals: game 2025020285 rows_in_game=328 parsed_intervals=12 team_for_game=BOS _apply_intervals: game 2025020285 df_game_rows=328 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020318 rows_in_game=321 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020318 df_game_rows=321 _apply_intervals: game 2025020334 rows_in_game=285 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025020334 df_game_rows=285 _apply_intervals: game 2025020351 rows_in_game=291 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020351 df_game_rows=291 _apply_intervals: game 2025020365 rows_in_game=256 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020365 df_game_rows=256 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 1721 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479987, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 3 6 15 16 7 14 68 13 24 21 9 2 12 10 8 26 28 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479987, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479987, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479987_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1759 _apply_intervals: intervals per_game count=6 _apply_intervals: game 2025010078 rows_in_game=257 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025010078 df_game_rows=257 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020092 rows_in_game=296 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020092 df_game_rows=296 _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=21 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 Filtered season dataframe to 335 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480887, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 15 7 14 68 13] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480887, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480887, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8480887_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5738 _apply_intervals: intervals per_game count=20 _apply_intervals: game 2025010095 rows_in_game=287 parsed_intervals=14 team_for_game=BOS _apply_intervals: game 2025010095 df_game_rows=287 _apply_intervals: game 2025020005 rows_in_game=328 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020005 df_game_rows=328 _apply_intervals: game 2025020008 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020008 df_game_rows=283 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020040 rows_in_game=309 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020040 df_game_rows=309 _apply_intervals: game 2025020069 rows_in_game=309 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020085 rows_in_game=287 parsed_intervals=0 team_for_game=BOS _apply_intervals: game 2025020103 rows_in_game=297 parsed_intervals=20 team_for_game=BOS _apply_intervals: game 2025020103 df_game_rows=297 _apply_intervals: game 2025020111 rows_in_game=309 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020111 df_game_rows=309 _apply_intervals: game 2025020128 rows_in_game=286 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020128 df_game_rows=286 _apply_intervals: game 2025020149 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020149 df_game_rows=277 _apply_intervals: game 2025020154 rows_in_game=240 parsed_intervals=15 team_for_game=BOS _apply_intervals: game 2025020154 df_game_rows=240 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020205 rows_in_game=283 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020205 df_game_rows=283 _apply_intervals: game 2025020218 rows_in_game=270 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020218 df_game_rows=270 _apply_intervals: game 2025020376 rows_in_game=277 parsed_intervals=18 team_for_game=BOS _apply_intervals: game 2025020376 df_game_rows=277 _apply_intervals: game 2025020394 rows_in_game=292 parsed_intervals=17 team_for_game=BOS _apply_intervals: game 2025020394 df_game_rows=292 _apply_intervals: game 2025020412 rows_in_game=294 parsed_intervals=16 team_for_game=BOS _apply_intervals: game 2025020412 df_game_rows=294 _apply_intervals: game 2025020426 rows_in_game=278 parsed_intervals=19 team_for_game=BOS _apply_intervals: game 2025020426 df_game_rows=278 Filtered season dataframe to 975 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479999, 'team': 'BOS'} team='BOS' DEBUG: xgs_map df_filtered unique teams: [ 6 3 15 16 7 14 13 24 21 9 2 12 17 19] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479999, 'team': 'BOS'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BOS condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479999, 'team': 'BOS'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BOS/8479999_map.png players: Saved stats to analysis/players/20252026/BOS/player_stats.csv players: Scatter plot includes 25 players (min_games=5) players: Saved scatter plot to analysis/players/20252026/BOS/player_scatter.png players: Analysis complete. Processing BUF (Plotting)... Generating maps for 5 players (skipped 24 up-to-date). players: Starting analysis. Scope=season, Team=BUF, Condition={'game_state': ['5v5'], 'is_net_empty': [0]} DEBUG: analyze.players called INFO:root:Loaded cached shifts for game 2025010076 from data/20252026/shifts/shifts_2025010076.pkl INFO:root:Loaded cached shifts for game 2025010085 from data/20252026/shifts/shifts_2025010085.pkl INFO:root:Loaded cached shifts for game 2025020009 from data/20252026/shifts/shifts_2025020009.pkl INFO:root:Loaded cached shifts for game 2025020039 from data/20252026/shifts/shifts_2025020039.pkl INFO:root:Loaded cached shifts for game 2025020057 from data/20252026/shifts/shifts_2025020057.pkl INFO:root:Loaded cached shifts for game 2025020076 from data/20252026/shifts/shifts_2025020076.pkl INFO:root:Loaded cached shifts for game 2025020095 from data/20252026/shifts/shifts_2025020095.pkl INFO:root:Loaded cached shifts for game 2025020109 from data/20252026/shifts/shifts_2025020109.pkl INFO:root:Loaded cached shifts for game 2025020123 from data/20252026/shifts/shifts_2025020123.pkl INFO:root:Loaded cached shifts for game 2025020132 from data/20252026/shifts/shifts_2025020132.pkl INFO:root:Loaded cached shifts for game 2025020152 from data/20252026/shifts/shifts_2025020152.pkl INFO:root:Loaded cached shifts for game 2025020186 from data/20252026/shifts/shifts_2025020186.pkl players: Ensuring xG predictions... players: Found 32 players for team BUF players: Loading league baseline... players: Using baseline path: analysis/league/20252026/5v5 league: loading baseline from analysis/league/20252026/5v5/20252026_league_baseline.npy players: Analyzing 32 players... xgs_map: using provided DataFrame (in-memory) -> rows= 4005 _apply_intervals: intervals per_game count=14 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=27 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 Filtered season dataframe to 720 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483468, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483468, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483468, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025020267 from data/20252026/shifts/shifts_2025020267.pkl INFO:root:Loaded cached shifts for game 2025020302 from data/20252026/shifts/shifts_2025020302.pkl INFO:root:Loaded cached shifts for game 2025020399 from data/20252026/shifts/shifts_2025020399.pkl INFO:root:Loaded cached shifts for game 2025020423 from data/20252026/shifts/shifts_2025020423.pkl Saved plot to analysis/players/20252026/BUF/8483468_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1695 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=8 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=5 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=5 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=6 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=9 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1091 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481551, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 17 68 22 30 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481551, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481551, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8481551_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1407 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF Filtered season dataframe to 191 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481564, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 21] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481564, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481564, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025020203 from data/20252026/shifts/shifts_2025020203.pkl INFO:root:Loaded cached shifts for game 2025020219 from data/20252026/shifts/shifts_2025020219.pkl INFO:root:Loaded cached shifts for game 2025020238 from data/20252026/shifts/shifts_2025020238.pkl INFO:root:Loaded cached shifts for game 2025020275 from data/20252026/shifts/shifts_2025020275.pkl INFO:root:Loaded cached shifts for game 2025020287 from data/20252026/shifts/shifts_2025020287.pkl INFO:root:Loaded cached shifts for game 2025020316 from data/20252026/shifts/shifts_2025020316.pkl INFO:root:Loaded cached shifts for game 2025020331 from data/20252026/shifts/shifts_2025020331.pkl INFO:root:Loaded cached shifts for game 2025020347 from data/20252026/shifts/shifts_2025020347.pkl INFO:root:Loaded cached shifts for game 2025020366 from data/20252026/shifts/shifts_2025020366.pkl INFO:root:Loaded cached shifts for game 2025020379 from data/20252026/shifts/shifts_2025020379.pkl INFO:root:Loaded cached shifts for game 2025020408 from data/20252026/shifts/shifts_2025020408.pkl Saved plot to analysis/players/20252026/BUF/8481564_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7145 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=11 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1412 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480802, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 10 29 15 68 19 12 17 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480802, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480802, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480802_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6927 _apply_intervals: intervals per_game count=25 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1936 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480807, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 3 6 8 17 10 29 15 68 19 12 21 22 20 16 5 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480807, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480807, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480807_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4566 _apply_intervals: intervals per_game count=17 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 775 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483500, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 17 10 29 68 19 21 22 20 16 12 5 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483500, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8483500, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8483500_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8036 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1451 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482097, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482097, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482097, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482097_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 3906 _apply_intervals: intervals per_game count=14 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 683 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484145, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 8 7 17 10 29 6 12 5 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484145, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484145, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8484145_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8036 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1585 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479420, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479420, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479420, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8479420_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4945 _apply_intervals: intervals per_game count=18 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=9 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=8 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=9 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=11 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=11 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=10 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=10 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 771 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482623, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [21 7 8 10 29 6 15 68 19 12 17 22 20 5 30 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482623, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482623, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482623_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 1350 _apply_intervals: intervals per_game count=5 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 228 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480064, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480064, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480064, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480064_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4268 _apply_intervals: intervals per_game count=15 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 Filtered season dataframe to 674 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480196, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 12 68 22 16 1 30 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480196, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480196, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480196_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6890 _apply_intervals: intervals per_game count=25 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=27 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=28 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1922 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480839, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 22 20 16 12 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480839, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480839, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480839_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5861 _apply_intervals: intervals per_game count=21 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=8 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 932 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475722, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 16 12 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475722, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475722, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8475722_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 3020 _apply_intervals: intervals per_game count=11 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 Filtered season dataframe to 638 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478413, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 6 19 12 68 21 17 22 20 16 1 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478413, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8478413, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8478413_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2723 _apply_intervals: intervals per_game count=10 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 Filtered season dataframe to 494 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482765, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 15 68 19 12 21 17 22 20 16] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482765, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482765, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482765_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4747 _apply_intervals: intervals per_game count=17 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=10 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 Filtered season dataframe to 830 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482896, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 6 21 8 17 19 12 68 22 20 16 5 1 30] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482896, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482896, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482896_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8036 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1515 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482659, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482659, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482659, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482659_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8036 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1810 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479982, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479982, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479982, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8479982_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7212 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1767 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482671, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 6 21 8 17 10 29 15 68 19 12 22 20 16 5 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482671, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482671, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8482671_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7743 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=11 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=11 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1487 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481522, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 10 29 15 68 19 12 17 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481522, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481522, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8481522_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7786 _apply_intervals: intervals per_game count=28 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=27 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=25 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=26 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1963 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481524, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481524, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8481524, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8481524_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2745 _apply_intervals: intervals per_game count=10 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 Filtered season dataframe to 615 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480891, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 29 6 15 68 19 12 21 17] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480891, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480891, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8480891_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 8036 _apply_intervals: intervals per_game count=29 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020024 rows_in_game=291 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020024 df_game_rows=291 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020057 rows_in_game=291 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020076 rows_in_game=326 parsed_intervals=0 team_for_game=BUF _apply_intervals: game 2025020095 rows_in_game=273 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020095 df_game_rows=273 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=15 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=19 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=23 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020267 rows_in_game=272 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020267 df_game_rows=272 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=24 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=20 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=21 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1552 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477949, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 6 21 8 17 10 29 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477949, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477949, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8477949_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6583 _apply_intervals: intervals per_game count=24 _apply_intervals: game 2025010076 rows_in_game=250 parsed_intervals=9 team_for_game=BUF _apply_intervals: game 2025010076 df_game_rows=250 _apply_intervals: game 2025010085 rows_in_game=276 parsed_intervals=10 team_for_game=BUF _apply_intervals: game 2025010085 df_game_rows=276 _apply_intervals: game 2025020009 rows_in_game=298 parsed_intervals=10 team_for_game=BUF _apply_intervals: game 2025020009 df_game_rows=298 _apply_intervals: game 2025020039 rows_in_game=292 parsed_intervals=13 team_for_game=BUF _apply_intervals: game 2025020039 df_game_rows=292 _apply_intervals: game 2025020109 rows_in_game=293 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020109 df_game_rows=293 _apply_intervals: game 2025020123 rows_in_game=278 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020123 df_game_rows=278 _apply_intervals: game 2025020132 rows_in_game=265 parsed_intervals=18 team_for_game=BUF _apply_intervals: game 2025020132 df_game_rows=265 _apply_intervals: game 2025020152 rows_in_game=284 parsed_intervals=22 team_for_game=BUF _apply_intervals: game 2025020152 df_game_rows=284 _apply_intervals: game 2025020167 rows_in_game=300 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020167 df_game_rows=300 _apply_intervals: game 2025020186 rows_in_game=288 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020186 df_game_rows=288 _apply_intervals: game 2025020203 rows_in_game=243 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020203 df_game_rows=243 _apply_intervals: game 2025020219 rows_in_game=229 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020219 df_game_rows=229 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020275 rows_in_game=291 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020275 df_game_rows=291 _apply_intervals: game 2025020287 rows_in_game=281 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020287 df_game_rows=281 _apply_intervals: game 2025020302 rows_in_game=281 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020302 df_game_rows=281 _apply_intervals: game 2025020316 rows_in_game=271 parsed_intervals=16 team_for_game=BUF _apply_intervals: game 2025020316 df_game_rows=271 _apply_intervals: game 2025020331 rows_in_game=260 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020331 df_game_rows=260 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020366 rows_in_game=226 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020366 df_game_rows=226 _apply_intervals: game 2025020379 rows_in_game=289 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020379 df_game_rows=289 _apply_intervals: game 2025020399 rows_in_game=271 parsed_intervals=17 team_for_game=BUF _apply_intervals: game 2025020399 df_game_rows=271 _apply_intervals: game 2025020408 rows_in_game=239 parsed_intervals=14 team_for_game=BUF _apply_intervals: game 2025020408 df_game_rows=239 _apply_intervals: game 2025020423 rows_in_game=287 parsed_intervals=12 team_for_game=BUF _apply_intervals: game 2025020423 df_game_rows=287 Filtered season dataframe to 1114 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479359, 'team': 'BUF'} team='BUF' DEBUG: xgs_map df_filtered unique teams: [ 7 5 3 21 17 10 29 6 15 68 19 12 22 20 16 1 30 52 4] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479359, 'team': 'BUF'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=BUF condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8479359, 'team': 'BUF'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/BUF/8479359_map.png players: Saved stats to analysis/players/20252026/BUF/player_stats.csv players: Scatter plot includes 25 players (min_games=5) players: Saved scatter plot to analysis/players/20252026/BUF/player_scatter.png players: Analysis complete. Processing CAR (Plotting)... Generating maps for 2 players (skipped 23 up-to-date). players: Starting analysis. Scope=season, Team=CAR, Condition={'game_state': ['5v5'], 'is_net_empty': [0]} DEBUG: analyze.players called INFO:root:Loaded cached shifts for game 2025010091 from data/20252026/shifts/shifts_2025010091.pkl INFO:root:Loaded cached shifts for game 2025020055 from data/20252026/shifts/shifts_2025020055.pkl INFO:root:Loaded cached shifts for game 2025020086 from data/20252026/shifts/shifts_2025020086.pkl INFO:root:Loaded cached shifts for game 2025020097 from data/20252026/shifts/shifts_2025020097.pkl INFO:root:Loaded cached shifts for game 2025020121 from data/20252026/shifts/shifts_2025020121.pkl INFO:root:Loaded cached shifts for game 2025020138 from data/20252026/shifts/shifts_2025020138.pkl INFO:root:Loaded cached shifts for game 2025020171 from data/20252026/shifts/shifts_2025020171.pkl INFO:root:Loaded cached shifts for game 2025020206 from data/20252026/shifts/shifts_2025020206.pkl INFO:root:Loaded cached shifts for game 2025020222 from data/20252026/shifts/shifts_2025020222.pkl INFO:root:Loaded cached shifts for game 2025020246 from data/20252026/shifts/shifts_2025020246.pkl INFO:root:Loaded cached shifts for game 2025020259 from data/20252026/shifts/shifts_2025020259.pkl INFO:root:Loaded cached shifts for game 2025020279 from data/20252026/shifts/shifts_2025020279.pkl INFO:root:Loaded cached shifts for game 2025020289 from data/20252026/shifts/shifts_2025020289.pkl INFO:root:Loaded cached shifts for game 2025020317 from data/20252026/shifts/shifts_2025020317.pkl INFO:root:Loaded cached shifts for game 2025020333 from data/20252026/shifts/shifts_2025020333.pkl INFO:root:Loaded cached shifts for game 2025020431 from data/20252026/shifts/shifts_2025020431.pkl players: Ensuring xG predictions... players: Found 28 players for team CAR players: Loading league baseline... players: Using baseline path: analysis/league/20252026/5v5 league: loading baseline from analysis/league/20252026/5v5/20252026_league_baseline.npy players: Analyzing 28 players... xgs_map: using provided DataFrame (in-memory) -> rows= 6063 _apply_intervals: intervals per_game count=21 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=30 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=7 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1174 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476422, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 28 54 21 25 2 6 3 30 7 10 15 23 22 52] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476422, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476422, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) INFO:root:Loaded cached shifts for game 2025020014 from data/20252026/shifts/shifts_2025020014.pkl INFO:root:Loaded cached shifts for game 2025020030 from data/20252026/shifts/shifts_2025020030.pkl INFO:root:Loaded cached shifts for game 2025020155 from data/20252026/shifts/shifts_2025020155.pkl INFO:root:Loaded cached shifts for game 2025020368 from data/20252026/shifts/shifts_2025020368.pkl INFO:root:Loaded cached shifts for game 2025020387 from data/20252026/shifts/shifts_2025020387.pkl INFO:root:Loaded cached shifts for game 2025020404 from data/20252026/shifts/shifts_2025020404.pkl Saved plot to analysis/players/20252026/CAR/8476422_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7832 _apply_intervals: intervals per_game count=27 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1461 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482702, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [18 12 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482702, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482702, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8482702_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7832 _apply_intervals: intervals per_game count=27 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1384 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475791, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475791, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8475791, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8475791_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5443 _apply_intervals: intervals per_game count=19 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 941 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477478, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 1 4 28 54 7 10 23 22 6 30 52 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477478, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8477478, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8477478_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7832 _apply_intervals: intervals per_game count=27 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=2 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1448 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482093, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482093, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482093, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8482093_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 5529 _apply_intervals: intervals per_game count=19 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=26 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=26 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=27 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=26 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=26 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 Filtered season dataframe to 1424 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480817, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 1 4 28 54 30 7 10 15 23 22 6 52 3 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480817, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480817, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8480817_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7559 _apply_intervals: intervals per_game count=26 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=27 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=26 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=25 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=22 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1835 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482100, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482100, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8482100, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8482100_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 6961 _apply_intervals: intervals per_game count=24 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=23 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1304 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473533, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473533, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8473533, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8473533_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 7832 _apply_intervals: intervals per_game count=27 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=11 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020333 rows_in_game=273 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020333 df_game_rows=273 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 1503 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480830, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [18 12 1 4 28 54 21 25 2 6 3 30 7 10 15 23 22 52 20] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480830, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480830, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8480830_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4210 _apply_intervals: intervals per_game count=14 _apply_intervals: game 2025020014 rows_in_game=309 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020014 df_game_rows=309 _apply_intervals: game 2025020030 rows_in_game=315 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020030 df_game_rows=315 _apply_intervals: game 2025020086 rows_in_game=318 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=11 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020155 rows_in_game=299 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020155 df_game_rows=299 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 _apply_intervals: game 2025020259 rows_in_game=296 parsed_intervals=12 team_for_game=CAR _apply_intervals: game 2025020259 df_game_rows=296 _apply_intervals: game 2025020279 rows_in_game=288 parsed_intervals=11 team_for_game=CAR _apply_intervals: game 2025020279 df_game_rows=288 Filtered season dataframe to 635 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480829, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [ 1 12 4 21 25 54 2 6 3 30 7 10 15 23] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480829, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8480829, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8480829_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 4544 _apply_intervals: intervals per_game count=16 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=11 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020055 rows_in_game=285 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020055 df_game_rows=285 _apply_intervals: game 2025020070 rows_in_game=291 parsed_intervals=0 team_for_game=CAR _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020222 rows_in_game=304 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020222 df_game_rows=304 _apply_intervals: game 2025020289 rows_in_game=282 parsed_intervals=11 team_for_game=CAR _apply_intervals: game 2025020289 df_game_rows=282 _apply_intervals: game 2025020301 rows_in_game=309 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020301 df_game_rows=309 _apply_intervals: game 2025020317 rows_in_game=274 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020317 df_game_rows=274 _apply_intervals: game 2025020347 rows_in_game=284 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020347 df_game_rows=284 _apply_intervals: game 2025020368 rows_in_game=308 parsed_intervals=20 team_for_game=CAR _apply_intervals: game 2025020368 df_game_rows=308 _apply_intervals: game 2025020387 rows_in_game=279 parsed_intervals=18 team_for_game=CAR _apply_intervals: game 2025020387 df_game_rows=279 _apply_intervals: game 2025020404 rows_in_game=259 parsed_intervals=15 team_for_game=CAR _apply_intervals: game 2025020404 df_game_rows=259 _apply_intervals: game 2025020431 rows_in_game=272 parsed_intervals=13 team_for_game=CAR _apply_intervals: game 2025020431 df_game_rows=272 Filtered season dataframe to 702 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476873, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 28 25 2 6 3 30 22 7 52 20 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476873, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8476873, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) Saved plot to analysis/players/20252026/CAR/8476873_map.png xgs_map: using provided DataFrame (in-memory) -> rows= 2587 _apply_intervals: intervals per_game count=9 _apply_intervals: game 2025010091 rows_in_game=242 parsed_intervals=24 team_for_game=CAR _apply_intervals: game 2025010091 df_game_rows=242 _apply_intervals: game 2025020097 rows_in_game=264 parsed_intervals=17 team_for_game=CAR _apply_intervals: game 2025020097 df_game_rows=264 _apply_intervals: game 2025020121 rows_in_game=335 parsed_intervals=16 team_for_game=CAR _apply_intervals: game 2025020121 df_game_rows=335 _apply_intervals: game 2025020138 rows_in_game=325 parsed_intervals=14 team_for_game=CAR _apply_intervals: game 2025020138 df_game_rows=325 _apply_intervals: game 2025020171 rows_in_game=321 parsed_intervals=21 team_for_game=CAR _apply_intervals: game 2025020171 df_game_rows=321 _apply_intervals: game 2025020181 rows_in_game=241 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020181 df_game_rows=241 _apply_intervals: game 2025020206 rows_in_game=268 parsed_intervals=19 team_for_game=CAR _apply_intervals: game 2025020206 df_game_rows=268 _apply_intervals: game 2025020238 rows_in_game=307 parsed_intervals=31 team_for_game=CAR _apply_intervals: game 2025020238 df_game_rows=307 _apply_intervals: game 2025020246 rows_in_game=284 parsed_intervals=9 team_for_game=CAR _apply_intervals: game 2025020246 df_game_rows=284 Filtered season dataframe to 515 events by condition {'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484428, 'team': 'CAR'} team='CAR' DEBUG: xgs_map df_filtered unique teams: [12 18 54 21 25 2 6 3 7 10] (condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484428, 'team': 'CAR'}) DEBUG: xgs_map heatmap_mode=team_not_team team_val=CAR condition={'game_state': ['5v5'], 'is_net_empty': [0], 'player_id': 8484428, 'team': 'CAR'} /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:377: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h = ax.scatter(grp1[xcol], grp1[ycol], c=c1, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7) /home/spoon/new_puck/puck/plot.py:382: UserWarning: You passed a edgecolor/edgecolors ('none') for an unfilled marker ('x'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future. h2 = ax.scatter(grp2[xcol], grp2[ycol], c=c2, marker=m, s=s, edgecolors='none', zorder=5, alpha=0.7)