uPeppe/fantabeto
Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
This project helps Italian fantasy football (Fantacalcio) players make better lineup decisions. It takes player and team statistics from Serie A matches as input and predicts individual player performance scores (vote and fantavote) and clean sheet probabilities for goalkeepers. The output helps Fantacalcio enthusiasts optimize their weekly team selections.
No commits in the last 6 months.
Use this if you play Fantacalcio and want data-driven predictions to help you pick your best Serie A lineup for upcoming matches.
Not ideal if you're interested in fantasy football leagues other than Italian Serie A, or if you prefer making decisions purely based on intuition rather than statistical predictions.
Stars
54
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 05, 2023
Commits (30d)
0
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