Enhance predict_dupes function to include League of Legends (LOL) alongside CS2 for sport-specific logic, updating conditions for duplicate count calculations and own ratio nerf adjustments to improve accuracy in player predictions.

global_func/predict_dupes.py

@@ -435,7 +435,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
                 np.round(portfolio['dupes_calc'], 0) - 1
             )
         elif type_var == 'Classic':
-            if sport_var == 'CS2':
+            if sport_var == 'CS2' or sport_var == 'LOL':
                 dup_count_columns = ['CPT_Own_percent_rank', 'FLEX1_Own_percent_rank', 'FLEX2_Own_percent_rank', 'FLEX3_Own_percent_rank', 'FLEX4_Own_percent_rank', 'FLEX5_Own_percent_rank']
                 own_columns = ['CPT_Own', 'FLEX1_Own', 'FLEX2_Own', 'FLEX3_Own', 'FLEX4_Own', 'FLEX5_Own']
                 calc_columns = ['own_product', 'own_average', 'own_sum', 'avg_own_rank', 'dupes_calc', 'low_own_count', 'Ref_Proj', 'Max_Proj', 'Min_Proj', 'Avg_Ref', 'own_ratio']
@@ -481,7 +481,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
                     0, 
                     np.round(portfolio['dupes_calc'], 0) - 1
                 )
-            elif sport_var != 'CS2':
+            elif sport_var != 'CS2' and sport_var != 'LOL':
                 num_players = len([col for col in portfolio.columns if col not in ['salary', 'median', 'Own']])
                 dup_count_columns = [f'player_{i}_percent_rank' for i in range(1, num_players + 1)]
                 own_columns = [f'player_{i}_own' for i in range(1, num_players + 1)]
@@ -515,9 +515,9 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
     )
     percentile_cut_scalar = portfolio['median'].max()  # Get scalar value
     if type_var == 'Classic':
-        if sport_var == 'CS2':
+        if sport_var == 'CS2' or sport_var == 'LOL':
             own_ratio_nerf = 2
-        elif sport_var != 'CS2':
+        elif sport_var != 'CS2' and sport_var != 'LOL':
             own_ratio_nerf = 1.5
     elif type_var == 'Showdown':
         own_ratio_nerf = 1.5