Remove assist projection scaling in player data initialization

Simplify the assist projection calculation by removing the scaling factor, using the base assist values directly for both win and loss scenarios. This change maintains the existing assist calculation method while reducing computational complexity.

app.py

@@ -586,7 +586,7 @@ def init_player_data(game_count, players, opponent, win_loss_settings, kill_pred
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['wDeath%'] * opp_pos_deaths_boost_win.get(row['position'], 1), axis=1)
                     team_data['Assist_Base'] = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1)
                     assist_scale = min(1.0, team_data['Kill_Proj'].sum() / team_data['Assist_Base'].sum()) if team_data['Assist_Base'].sum() > 0 else 1.0
-                    team_data['Assist_Proj'] = team_data['Assist_Base'] * assist_scale
+                    team_data['Assist_Proj'] = team_data['Assist_Base']
                     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']]
                 else:
@@ -594,7 +594,7 @@ def init_player_data(game_count, players, opponent, win_loss_settings, kill_pred
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['lDeath%'] * opp_pos_deaths_boost_loss.get(row['position'], 1), axis=1)
                     team_data['Assist_Base'] = team_data.apply(lambda row: row['lAssist%'] * opp_pos_kills_boost_loss.get(row['position'], 1), axis=1)
                     assist_scale = min(1.0, team_data['Kill_Proj'].sum() / team_data['Assist_Base'].sum()) if team_data['Assist_Base'].sum() > 0 else 1.0
-                    team_data['Assist_Proj'] = team_data['Assist_Base'] * assist_scale
+                    team_data['Assist_Proj'] = team_data['Assist_Base']
                     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']]