Refactor ownership ratio adjustments in predict_dupes function to streamline logic for CS2 and LOL, ensuring consistent application of nerf values based on sport type, which enhances prediction accuracy.

global_func/predict_dupes.py

@@ -568,9 +568,11 @@ 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' or sport_var == 'LOL':
+        if sport_var == 'CS2':
             own_ratio_nerf = 2
-        elif sport_var != 'CS2' and sport_var != 'LOL':
+        elif sport_var == 'LOL':
+            own_ratio_nerf = 2
+        else:
             own_ratio_nerf = 1.5
     elif type_var == 'Showdown':
         own_ratio_nerf = 1.5