Refactor sim_contest function in app.py to implement stack multipliers for projection calculations, enhancing accuracy based on team participation. Removed unused stack frequency tab from UI, streamlining the user interface and improving overall performance.

Update sharp_split thresholds in app.py for strength categories to improve simulation accuracy. Adjusted values for 'Below Average', 'Average', 'Above Average', and 'Very' to enhance performance metrics in the application.

Enhance app.py by adding a new tab for Stack Type Statistics, which displays average statistics and counts for team stacks. Update existing tabs to include 'Avg Own' in dataframes and improve user feedback when simulation data is unavailable. Additionally, implement a download button for stack frequency data, enhancing data export functionality.

Enhance app.py by adding a teams_playing_count parameter to the sim_contest function, allowing for dynamic adjustments in projection calculations. This change includes the implementation of a stack bonus based on the number of teams playing, improving the accuracy of contest simulations. Additionally, update init_baselines to return the teams_playing_count for better data management across the application.

Enhance app.py by standardizing team abbreviations for Draftkings and Fanduel data, ensuring consistency in data representation. Additionally, clear session state on data export to prevent stale data issues. This improves data integrity and user experience in the application.

Refactor app.py to remove unused player ID dictionaries for Draftkings and Fanduel. This simplifies the code and improves performance by eliminating unnecessary data structures during seed frame initialization and data export processes.

Fix case sensitivity in duplicate removal for Sim_Winner_Export in app.py by changing 'Salary' to 'salary'. This ensures consistent data handling and improves the accuracy of the export functionality.

Enhance Sim_Winner_Export functionality in app.py by adding duplicate removal based on key columns and implementing a download button for exporting the full frame as a CSV file. This improves data integrity and user experience in contest simulations.

Refactor app.py to utilize session state for mapping player data. Updated frequency calculations to reference session state maps instead of local variables, enhancing data consistency and management across contest simulations.

Refactor app.py to enhance data handling and user input. Updated seed frame initialization to accept a dynamic lineup limit, improved data export functionality, and streamlined session state management for contest simulations. Removed unnecessary imports and optimized data retrieval processes.

Refactor app.py to streamline database connection and data retrieval. Removed hardcoded Google Sheets credentials and replaced them with a MongoDB connection. Updated data loading logic to fetch player data directly from the MongoDB collection.

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Rename requirements (6).txt to requirements.txt

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Rename app (3).py to app.py

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