Machine Learning for Soccer Analytics

Sports analytics has been successfully applied in sports like baseball and basketball. However, its application in soccer has been limited. There is a need to find out if the application of Machine Learning can bring better and more insightful results in soccer analytics. In this thesis, we perform descriptive as well as predictive analysis of soccer matches and player performances. In soccer, it is popular to rely on ratings by experts to assess a player's performance.