Measuring Player Performance in Soccer

This chapter explores the complexities of measuring player positions and performance in soccer, focusing on the limitations of existing event data. It discusses alternative methods to analyze player contributions and scoring potential by considering factors like game dynamics and pressure levels. The conversation highlights the role of machine learning in evaluating player actions, emphasizing the challenges in accurately capturing the intricacies of performance in high-pressure environments.