Data-Driven Methods for Soccer Analysis

This chapter delves into the potential of utilising data-driven methods for soccer analysis. Particularly soccer, with its intricate player interactions and abundant data sources, serves as an ideal canvas for applying these methodologies. The core concept of the chapter revolves around establishing a data-driven pipeline in soccer and sports science. This pipeline automates the collection, transformation, processing, and analysis of data, creating a systematic flow from raw data to insightful decision-making. We aim to provide a comprehensive overview of how data-driven techniques are revolutionising soccer performance analysis. This chapter covers the promises and possibilities that the confluence of Artificial Intelligence (AI) and sports science holds, offering a roadmap for optimising athlete and team performance.