https://github.com/sidtr0/international-football-elo

Program to find out the ELO of a football team based on every single international game played
https://github.com/sidtr0/international-football-elo

football football-data

Last synced: 4 months ago
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Program to find out the ELO of a football team based on every single international game played

• Host: GitHub
• URL: https://github.com/sidtr0/international-football-elo
• Owner: sidtr0
• Created: 2024-07-17T04:08:31.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-17T04:30:16.000Z (over 1 year ago)
• Last Synced: 2025-06-26T07:02:51.655Z (4 months ago)
• Topics: football, football-data
• Language: Python
• Homepage:
• Size: 52.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# International Football Elo

This is a program to find out the ELO of a football team based on every single international game played. Source of data is [this Kaggle dataset by Mart Jürisoo](https://www.kaggle.com/datasets/martj42/international-football-results-from-1872-to-2017/data).

Once that is downloaded, put the CSV files in `internation-football-results/`. You only need `results.csv` as penalty shootouts are not considered and are awarded as a draw to both teams.

Once downloaded, run `make_table.py`. (You should remove the 2nd line on the newly created `elos.csv`; this may or may not be fixed by me later.)

After that, run `evaluate.py`. The code takes a while to run but you should see the results in `elos.csv` after it is done.

![Result based on results.csv on 16/07/2024](image.png)