This project uses Expected Goals (xG) data and squad quality ratings within an elo-based Monte Carlo model to predict final standings in 7 major European soccer leagues and the UEFA Champions League.

Champions League Draw Helper ⚽️

This project uses databases to analyze European football data and determine which team to bet on based on performance. The goal is to provide data-driven justifications for the chosen team.

A script in Python that simulates the draw of the League Phase (2024-25) of UEFA Champions League.