From 2ea1b6597235b3c775310ac7651884a1f63f8aeb Mon Sep 17 00:00:00 2001 From: Giuseppe Musicco Date: Tue, 11 Jul 2023 08:37:47 +0200 Subject: [PATCH] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index a497bff..3326f22 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,8 @@ Fantacalcio Bayesian Estimated Team's Outcome Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores. +https://pub.towardsai.net/how-i-won-at-italian-fantasy-football-fantacalcio-using-machine-learning-ce8fc3fdcaef + The aim of this project is to predict Fantacalcio (Serie A fantasy football) player performances (vote and fantavote, respectively their match rating and that summed to the bonus/malus given by goals, assists and cards), using players and teams data from http://fantacalcio.it and http://fbref.com. "outputs" folder contains predictions for the next Serie A matchdays, and an excel file for analysis. A list of players can be inserted to help selecting an optimal line-up.