Adjust lineups_to_remove calculation in exposure_spread function to apply a 101% factor, refining accuracy in lineup adjustments based on player exposure and target.

global_func/exposure_spread.py

@@ -240,7 +240,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
     player_exposure = player_mask.sum() / len(working_frame)
 
     # find the number of lineups that need to be removed to reach the target exposure
-    lineups_to_remove = ((player_exposure - exposure_target) * len(working_frame)) * 1.05
+    lineups_to_remove = ((player_exposure - exposure_target) * len(working_frame)) * 1.01
 
     # isolate the rows that contain the player
     player_rows = working_frame[player_mask]
@@ -252,7 +252,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
     random_row_indices = list(player_rows.index)
     random.shuffle(random_row_indices)
 
-    # for each row to the the number of lineups to remove, replace with random choice from comparable player list
+    # for each row to the the number of lineups to remove, replace with random choice from comparable player list if they can be inserted
     for row in random_row_indices:
         if change_counter < math.ceil(lineups_to_remove):
             comparable_players = projections_df[