Football Predictions
Overview
This project focuses on forecasting football match outcomes for national leagues and European competitions after the building of advanced statistical models.
Using Python, I applied the Poisson distribution with the Dixon-Coles correction to account for low-scoring game bias, to ensure more accurate predictions. Additionally, Elo-based simulations are used for the European Competitions to assess team strengths and probabilities dynamically over time. The model incorporates historical match data, adjusts for new scores, and dynamically updates league tables.