This project is part of the Football Analytics Lab 2024 at the University of Milan, delivered by Soccerment, a company specializing in Soccer Data Intelligence.
This project aims to predict the total number of corner kicks in a football match using team statistics and historical performance data.
The dataset includes team performance statistics and historical data up to the current match, enabling us to analyze trends and patterns for accurate predictions.
- Play Style Variability: Different play styles and strategies may affect corner kick frequency, requiring adaptive modeling techniques.
- Low-Frequency Events: Defensive games may result in fewer corner kicks, challenging prediction accuracy.
- Tactical Variations: Accounting for tactical differences between teams and across leagues is crucial for accurate predictions.