MACHINE LEARNING FOR DATA ANALYSIS IN FOOTBALL: A SURVEY OF METHODS AND PROBLEMS

Abstract

Machine learning is growing exponentially, and its applications are gaining more traction in the sports analysis community in recent years. The application of machine learning methods on spatiotemporal data in sports like football is getting attention from football clubs, academics, and amateur analysts and is the focus of this survey. This survey analyses and identifies current trends in research papers and literature to determine current and future applications in football analytics using spatiotemporal data.