Refactor assist projection calculations in app.py to improve accuracy by scaling based on total kills instead of kill predictions. This change enhances the integrity of player performance metrics in both team and player data initialization functions, ensuring more reliable projections.

app.py

@@ -359,7 +359,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     team_data['Kill_Proj'] = team_data.apply(lambda row: row['wKill%'] * opp_pos_kills_boost_win.get(row['position'], 1), axis=1)
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['wDeath%'] * opp_pos_deaths_boost_win.get(row['position'], 1), axis=1)
                     raw_assists = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1) * team_data['Kill_Proj'].sum()
-                    assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
+                    assist_scale = min(1.0, team_data['Kill_Proj'].sum() / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
                     team_data['Assist_Proj'] = raw_assists * assist_scale
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['wCS'] * opp_pos_cs_boost_win.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]
@@ -367,7 +367,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     team_data['Kill_Proj'] = team_data.apply(lambda row: row['lKill%'] * opp_pos_kills_boost_loss.get(row['position'], 1), axis=1)
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['lDeath%'] * opp_pos_deaths_boost_loss.get(row['position'], 1), axis=1)
                     raw_assists = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1) * team_data['Kill_Proj'].sum()
-                    assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
+                    assist_scale = min(1.0, team_data['Kill_Proj'].sum() / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
                     team_data['Assist_Proj'] = raw_assists * assist_scale
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['lCS'] * opp_pos_cs_boost_loss.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]
@@ -573,7 +573,7 @@ def init_player_data(game_count, players, opponent, win_loss_settings, kill_pred
                     team_data['Kill_Proj'] = team_data.apply(lambda row: row['wKill%'] * opp_pos_kills_boost_win.get(row['position'], 1), axis=1)
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['wDeath%'] * opp_pos_deaths_boost_win.get(row['position'], 1), axis=1)
                     raw_assists = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1) * team_data['Kill_Proj'].sum()
-                    assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
+                    assist_scale = min(1.0, team_data['Kill_Proj'].sum() / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
                     team_data['Assist_Proj'] = raw_assists * assist_scale
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['wCS'] * opp_pos_cs_boost_win.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]
@@ -581,7 +581,7 @@ def init_player_data(game_count, players, opponent, win_loss_settings, kill_pred
                     team_data['Kill_Proj'] = team_data.apply(lambda row: row['lKill%'] * opp_pos_kills_boost_loss.get(row['position'], 1), axis=1)
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['lDeath%'] * opp_pos_deaths_boost_loss.get(row['position'], 1), axis=1)
                     raw_assists = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1) * team_data['Kill_Proj'].sum()
-                    assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
+                    assist_scale = min(1.0, team_data['Kill_Proj'].sum() / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
                     team_data['Assist_Proj'] = raw_assists * assist_scale
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['lCS'] * opp_pos_cs_boost_loss.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]