Add advanced statistical calculations to init_team_data in app.py. Implemented new metrics for league, opponent, player, and team performance, including averages and boost calculations for kills, deaths, assists, and total CS. This enhancement improves the depth of analysis available for team performance evaluation.

app.py

@@ -94,6 +94,151 @@ def init_team_data(team, win_loss, kill_prediction, death_prediction, start_date
         cursor = collection.find({"teamname": team, "date": {"$gte": start_datetime, "$lte": end_datetime}})
     
         raw_display = pd.DataFrame(list(cursor))
+        calc_columns = ['kills', 'deaths', 'assists', 'total_cs']
+        league_win_stats = {}
+        league_loss_stats = {}
+        league_pos_win_stats = {}   
+        league_pos_loss_stats = {}
+        Opponent_win_allowed_stats = {}
+        Opponent_loss_allowed_stats = {}
+        Opponent_pos_win_allowed_stats = {}
+        Opponent_pos_loss_allowed_stats = {}
+        playername_win_stats = {}
+        playername_loss_stats = {}
+        teamname_win_stats = {}
+        teamname_loss_stats = {}
+
+        for stats in calc_columns:
+            league_win_stats[stats] = raw_display[(raw_display['result'] == 1) & (raw_display['position'] != 'team')].groupby('league')[stats].mean().to_dict()
+            league_loss_stats[stats] = raw_display[(raw_display['result'] == 0) & (raw_display['position'] != 'team')].groupby('league')[stats].mean().to_dict()
+            Opponent_win_allowed_stats[stats] = raw_display[(raw_display['result'] == 1) & (raw_display['position'] != 'team')].groupby('Opponent')[stats].mean().to_dict()
+            Opponent_loss_allowed_stats[stats] = raw_display[(raw_display['result'] == 0) & (raw_display['position'] != 'team')].groupby('Opponent')[stats].mean().to_dict()
+
+        for stats in calc_columns:
+            league_pos_win_stats[stats] = {
+                league: group.groupby('position')[stats].mean().to_dict()
+                for league, group in raw_display[raw_display['result'] == 1].groupby('league')
+            }
+            league_pos_loss_stats[stats] = {
+                league: group.groupby('position')[stats].mean().to_dict()
+                for league, group in raw_display[raw_display['result'] == 0].groupby('league')
+            }
+            
+            Opponent_pos_win_allowed_stats[stats] = {
+                opponent: group.groupby('position')[stats].mean().to_dict()
+                for opponent, group in raw_display[raw_display['result'] == 1].groupby('Opponent')
+            }
+            Opponent_pos_loss_allowed_stats[stats] = {
+                opponent: group.groupby('position')[stats].mean().to_dict()
+                for opponent, group in raw_display[raw_display['result'] == 0].groupby('Opponent')
+            }
+
+        for stats in calc_columns:
+            playername_win_stats[stats] = raw_display[raw_display['result'] == 1].groupby(['playername'])[stats].mean().to_dict()
+            playername_loss_stats[stats] = raw_display[raw_display['result'] == 0].groupby(['playername'])[stats].mean().to_dict()
+            teamname_win_stats[stats] = raw_display[(raw_display['result'] == 1) & (raw_display['position'] == 'team')].groupby(['teamname'])[stats].mean().to_dict()
+            teamname_loss_stats[stats] = raw_display[(raw_display['result'] == 0) & (raw_display['position'] == 'team')].groupby(['teamname'])[stats].mean().to_dict() 
+
+        for stat in calc_columns:
+
+            column_name = f'league_avg_{stat}_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: league_win_stats[stat].get(row['league'], 0), 
+                axis=1
+            )
+
+            column_name = f'league_avg_{stat}_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: league_loss_stats[stat].get(row['league'], 0), 
+                axis=1
+            )
+
+            column_name = f'Opponent_avg_{stat}_allowed_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: Opponent_win_allowed_stats[stat].get(row['Opponent'], 0), 
+                axis=1
+            )
+
+            column_name = f'Opponent_avg_{stat}_allowed_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: Opponent_loss_allowed_stats[stat].get(row['Opponent'], 0), 
+                axis=1
+            )
+
+            column_name = f'league_pos_avg_{stat}_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: league_pos_win_stats[stat].get(row['league'], {}).get(row['position'], 0), 
+                axis=1
+            )
+            
+            column_name = f'league_pos_avg_{stat}_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: league_pos_loss_stats[stat].get(row['league'], {}).get(row['position'], 0), 
+                axis=1
+            )
+
+            column_name = f'Opponent_pos_avg_{stat}_allowed_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: Opponent_pos_win_allowed_stats[stat].get(row['Opponent'], {}).get(row['position'], 0), 
+                axis=1
+            )
+
+            column_name = f'Opponent_pos_avg_{stat}_allowed_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: Opponent_pos_loss_allowed_stats[stat].get(row['Opponent'], {}).get(row['position'], 0), 
+                axis=1
+            )
+
+            column_name = f'playername_avg_{stat}_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: playername_win_stats[stat].get(row['playername'], 0), 
+                axis=1
+            )
+
+            column_name = f'playername_avg_{stat}_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: playername_loss_stats[stat].get(row['playername'], 0), 
+                axis=1
+            )
+
+            column_name = f'teamname_avg_{stat}_win'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: teamname_win_stats[stat].get(row['teamname'], 0), 
+                axis=1
+            )
+
+            column_name = f'teamname_avg_{stat}_loss'
+            raw_display[column_name] = raw_display.apply(
+                lambda row: teamname_loss_stats[stat].get(row['teamname'], 0), 
+                axis=1
+            )
+
+        raw_display['overall_win_kills_boost'] = raw_display['Opponent_avg_kills_allowed_win'] / raw_display['league_avg_kills_win']
+        raw_display['overall_win_deaths_boost'] = raw_display['Opponent_avg_deaths_allowed_win'] / raw_display['league_avg_deaths_win']
+        raw_display['overall_win_assists_boost'] = raw_display['Opponent_avg_assists_allowed_win'] / raw_display['league_avg_assists_win']
+        raw_display['overall_win_total_cs_boost'] = raw_display['Opponent_avg_total_cs_allowed_win'] / raw_display['league_avg_total_cs_win']
+        raw_display['overall_loss_kills_boost'] = raw_display['Opponent_avg_kills_allowed_loss'] / raw_display['league_avg_kills_loss']
+        raw_display['overall_loss_deaths_boost'] = raw_display['Opponent_avg_deaths_allowed_loss'] / raw_display['league_avg_deaths_loss']
+        raw_display['overall_loss_assists_boost'] = raw_display['Opponent_avg_assists_allowed_loss'] / raw_display['league_avg_assists_loss']
+        raw_display['overall_loss_total_cs_boost'] = raw_display['Opponent_avg_total_cs_allowed_loss'] / raw_display['league_avg_total_cs_loss']
+
+        raw_display['overall_win_kills_boost_pos'] = raw_display['Opponent_pos_avg_kills_allowed_win'] / raw_display['league_pos_avg_kills_win']
+        raw_display['overall_win_deaths_boost_pos'] = raw_display['Opponent_pos_avg_deaths_allowed_win'] / raw_display['league_pos_avg_deaths_win']
+        raw_display['overall_win_assists_boost_pos'] = raw_display['Opponent_pos_avg_assists_allowed_win'] / raw_display['league_pos_avg_assists_win']
+        raw_display['overall_win_total_cs_boost_pos'] = raw_display['Opponent_pos_avg_total_cs_allowed_win'] / raw_display['league_pos_avg_total_cs_win']
+        raw_display['overall_loss_kills_boost_pos'] = raw_display['Opponent_pos_avg_kills_allowed_loss'] / raw_display['league_pos_avg_kills_loss']
+        raw_display['overall_loss_deaths_boost_pos'] = raw_display['Opponent_pos_avg_deaths_allowed_loss'] / raw_display['league_pos_avg_deaths_loss']
+        raw_display['overall_loss_assists_boost_pos'] = raw_display['Opponent_pos_avg_assists_allowed_loss'] / raw_display['league_pos_avg_assists_loss']
+        raw_display['overall_loss_total_cs_boost_pos'] = raw_display['Opponent_pos_avg_total_cs_allowed_loss'] / raw_display['league_pos_avg_total_cs_loss']
+
+        raw_display['playername_avg_kill_share_win'] = raw_display['playername_avg_kills_win'] / raw_display['teamname_avg_kills_win']
+        raw_display['playername_avg_death_share_win'] = raw_display['playername_avg_deaths_win'] / raw_display['teamname_avg_deaths_win']
+        raw_display['playername_avg_assist_share_win'] = raw_display['playername_avg_assists_win'] / raw_display['teamname_avg_kills_win']
+        raw_display['playername_avg_cs_share_win'] = raw_display['playername_avg_total_cs_win'] / raw_display['teamname_avg_total_cs_win']
+        raw_display['playername_avg_kill_share_loss'] = raw_display['playername_avg_kills_loss'] / raw_display['teamname_avg_kills_loss']
+        raw_display['playername_avg_death_share_loss'] = raw_display['playername_avg_deaths_loss'] / raw_display['teamname_avg_deaths_loss']
+        raw_display['playername_avg_assist_share_loss'] = raw_display['playername_avg_assists_loss'] / raw_display['teamname_avg_kills_loss']
+        raw_display['playername_avg_cs_share_loss'] = raw_display['playername_avg_total_cs_loss'] / raw_display['teamname_avg_total_cs_loss']
         raw_display = raw_display[['playername', 'teamname', 'playername_avg_kill_share_win', 'playername_avg_death_share_win', 'playername_avg_assist_share_win', 'playername_avg_total_cs_win', 'playername_avg_kill_share_loss', 'playername_avg_death_share_loss', 'playername_avg_assist_share_loss', 'playername_avg_total_cs_loss']]
         raw_display = raw_display.rename(columns = {'playername_avg_kill_share_win': 'wKill%', 'playername_avg_death_share_win': 'wDeath%', 'playername_avg_assist_share_win': 'wAssist%', 'playername_avg_total_cs_win': 'wCS', 'playername_avg_kill_share_loss': 'lKill%', 'playername_avg_death_share_loss': 'lDeath%', 'playername_avg_assist_share_loss': 'lAssist%', 'playername_avg_total_cs_loss': 'lCS'})
         team_data = raw_display.drop_duplicates(subset = ['playername'])