Context
The story behind this dataset is due to a group of enthusiastic football fans wanting to create a fantasy league of our own, with custom points given for different events based on position played minutes played etc. For data I identified a freemium API from rapid API which provided the data I needed https://rapidapi.com/api-sports/api/api-football-beta/. I call the API and stored the data and calculated the points using our points system using python.
I have created a GUI using Tkinter made a backend Database using SQLite3 - Python Find it here https://github.com/jainil-shah/EFF2.1
Content
The main part or rather the important of the data is present in Match and Player stats csv file. Stats like player match events (Not only G&A but Interceptions, Tackles, Blocks, Shots on target and much more...)
Acknowledgements
I would like to thank the Rapid API services and also https://rapidapi.com/api-sports/api/api-football-beta/ (https://www.api-football.com/) API football to provide such detailed data for free.
Inspiration
The next aim from this data is to make visualizations and insights from this data and discuss much more about the world of football.