Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
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Updated
Oct 5, 2023 - Jupyter Notebook
Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
Piccolo tool per guidarci all'asta spendendo poco
FantaManajer: a webapp for italian fantacalcio
Allows to parse files that are provided by main sport newspapers with quotations of players after each soccer match of the Serie A championship.
algorithm to create the best possible serie A fantasy football team (Fantacalcio), through a maximization with constraints problem
⚽ Vinci al Fantacalcio usando librerie di pandas, facendo credere a tutti che tu stia usando il machine learning
Tool Fantacalcistico per la valutazione oggettiva dei giocatori acquistati o da acquistare in fase di asta.
Allows user to calculate the points that a fantasy team has reached after a soccer match. The total can be altered through some bonus like the defense one.
Dashboard for Fantabigolo
🏆 Collecion of Fantacalcio projects
Back-end code of Fanta Team Builder: a web app that allows you to create drafts of your fantasy football teams and get the best out of your auctions
Webapp to manage the "fantacalcio" auction. With login mode for the administrator.
A tool to prepare for the "Asta del Fantacalcio"
Choose two teams and the app will tell you which one will win using funny gifs
Front-end code of Fanta Team Builder: a web app that allows you to create drafts of your fantasy football teams and get the best out of your auctions
Apply Moneyball approach to Serie A Fantacalcio data.
Applichiamo un algoritmo di selezione genetica per scegliere i migliori 11 giocatori da un fantacalcio a listone
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