Refine 'Finish_percentile' calculation in predict_dupes.py by adjusting the denominator to improve accuracy. This change enhances the formula by using a fixed multiplier for median values, ensuring more precise percentile results.

global_func/predict_dupes.py

@@ -327,8 +327,8 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
     elif type_var == 'Showdown':
         own_ratio_nerf = 1.5
     portfolio['Finish_percentile'] = portfolio.apply(
-        lambda row: .0005 if (row['own_ratio'] - own_ratio_nerf) / (((Contest_Size / 1000) * (row['median'] / percentile_cut_scalar)) / 2) < .0005 
-        else (row['own_ratio'] - own_ratio_nerf) / (((Contest_Size / 1000) * (row['median'] / percentile_cut_scalar)) / 2), 
+        lambda row: .0005 if (row['own_ratio'] - own_ratio_nerf) / ((5 * (row['median'] / percentile_cut_scalar)) / 3) < .0005 
+        else (row['own_ratio'] - own_ratio_nerf) / ((5 * (row['median'] / percentile_cut_scalar)) / 3), 
         axis=1
     )