ilias4780 / fpl_statistics_ui_app

This is a python application providing users with a GUI in order to download the FPL database by using the FPL API URL and make statistical calculations.

Readme

This is a python application providing users with a GUI and a web interface, in order to download the FPL database by using the FPL API URL and make statistical calculations.

The Web interface of the app (the streamlit dashboard) is also hosted and available in the following link: https://fplselection.streamlit.app/

You can use it or take a peak of the functionality there!

Changelog in Version 2.0.0

• Upgraded to python 3.11
• Added points_per_game stat column to stat table
• Changed documentation platform to GitHub Pages
• Added 2022-2023 season full JSON data in Archive
• User can pre-select players in the Best 15 Optimisation. This way user can force their selection, making it possible to, essentially, find how to optimise a subset of their fantasy team. This new feature is only available in the Dashboard version and not in the PyQt UI.
• UI refactored to split the table statistics and the best 15 selection into two different tabs, for better user experience.
• Columns first_name, second_name are now combined into one column named name.
• Added Percent Selected to the optimisation targets, so that users can find the most selected by squad members to fill their team (towards a 'template' team)

Features

• Graphical or Web Interface choice
• Info bar for interesting stats
• Download and save useful data from FPL database
• Save and load database to/from local JSON file for OFFLINE use
• Show sorted statistics based on your selection
• Calculate best 15 selection using mathematical engine solver optimisation
• Pre-select subset of players on the best 15 optimisation to force their selection
• Calculate most valuable players
• Calculate most valuable position
• Calculate most valuable team
• Save data in CSVs

Code setup and execution

1. Create a python virtual environment.
2. Install the required dependencies by executing:
   pip install -r requirements.txt
3. Then, to execute the PYQT GUI, you execute the main.py file either from an IDE or from CMD running:
   python fpls_ui_app/main.py
4. To execute the dashboard, you execute the dashboard.py file either from an IDE or from CMD running:
   streamlit run fpls_ui_app/dashboard.py

Support

If you have new ideas on features you would like feel free to either send an email to [e-mail] or jump into the code yourself building it. You can also use the Issues page of GitHub.