Update exposure_spread function to correct stack comparison logic by using the 'team' column instead of 'Stack', ensuring accurate filtering of player rows based on stacking criteria.

Add debug print statement to exposure_spread function to log player rows, aiding in troubleshooting and ensuring accurate filtering of player data.

Enhance exposure_spread function to include stack comparison for player rows, ensuring accurate filtering based on stacking criteria, similar to the logic applied for comparable players.

Add stack comparison logic in exposure_spread function to filter out comparable players based on stacking, enhancing the accuracy of player comparisons.

Reset index for comparable players in exposure_spread function to ensure consistent DataFrame structure, improving subsequent calculations for player comparisons.

Add position eligibility check in exposure_spread function to filter comparable players based on overlapping positions, improving accuracy in player comparisons.

Update comp_projection_low calculation in exposure_spread function to use a 75% reduction instead of 90%, refining the logic for comparable player projections.

Implement change counter in exposure_spread function to limit player replacements based on lineups_to_remove, enhancing control over lineup adjustments.

Fix indentation in exposure_spread function to ensure proper flow control during player replacement, enhancing the logic for lineup adjustments.

Refactor exposure_spread function to adjust the iteration order for player replacements, ensuring that all player rows are processed before making changes, which enhances the logic for lineup adjustments.

Refactor player location retrieval in exposure_spread function to iterate over columns for locating exposure_player, enhancing accuracy in player replacement logic.

Add debug print statements in exposure_spread function to log player rows and working frame, enhancing troubleshooting capabilities during player replacement process.

Refactor exposure_spread function to iterate over player rows for replacements, enhancing the logic for player adjustments and ensuring all relevant lineups are updated with comparable players.

Add debug print statement in exposure_spread function to log player assignments, aiding in troubleshooting during player replacement process.

Refactor exposure_spread function to simplify player assignment by using the .at method for direct access to player locations, enhancing code readability and performance.

Enhance exposure_spread function to assign the selected comparable player to both the player location and a new 'player_change' column, improving tracking of player adjustments in lineups.

Refactor player location retrieval in exposure_spread function to use list index method, improving clarity and ensuring accurate player replacement from the comparable player list.

Refactor exposure_spread function to improve player replacement logic by directly accessing player locations using column indices, enhancing code clarity and performance.

Update exposure_spread function to ensure the number of lineups to remove is rounded up using math.ceil, enhancing the accuracy of player replacement from the comparable player list.

Refactor exposure_spread function to iterate over the number of lineups to remove, ensuring correct player replacement from the comparable player list. This change improves the logic for player adjustments in lineups.

Add debug print statements in exposure_spread function to log player rows and locations for improved troubleshooting during player replacement process.

Update exposure_spread function to utilize numpy for player location identification, enhancing accuracy in lineup adjustments by ensuring the correct player is replaced with a comparable player from the list.

Refactor exposure_spread function to access salary and median values directly from the first row of comparable players, improving clarity and ensuring correct data retrieval for player comparisons.

Refactor exposure_spread function to use median projections instead of raw projections for better accuracy in player comparisons. Update comparable player list to reference 'player_names' for consistency.

Add exposure management feature in app.py and implement exposure_spread function