motapinto/football-classification-predications
Supervised Learning Models used to predict outcomes of football matches
This project helps sports bettors or football enthusiasts predict the outcomes of football matches using historical data. It takes in various team and player statistics, such as team attributes, player ratings, and match history, to predict whether the home team will win, lose, or draw. The primary users are individuals interested in forecasting match results based on data-driven models.
No commits in the last 6 months.
Use this if you want to explore how machine learning can predict football match results based on historical team and player data.
Not ideal if you are looking for a ready-to-use betting tool or require real-time predictions for ongoing matches.
Stars
20
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 14, 2021
Commits (30d)
0
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