Football Analytics: The Evolution of Data-Driven Decision Making

Modern football is no longer governed solely by intuition; data now shapes every pass, transfer, and tactical decision. This text-based course guides you through the historic shift from traditional scouting to sophisticated sports analytics. You will understand how modern clubs collect, interpret, and apply performance data. By studying key evolutionary milestones and foundational metrics, you will develop the analytical mindset required to read and evaluate modern sports datasets. What you'll learn: Understand the historical evolution of analytics in professional football; Analyze foundational metrics such as Expected Goals (xG), Expected Assists (xA), and possession value; Explore how clubs use tracking and event data to evaluate player performance and team tactics; Learn how modern data pipelines and dataframe libraries are used to process sports datasets; Evaluate scouting and recruitment strategies driven by quantitative data; Practice interpreting real-world match reports and tactical datasets through written exercises. The course begins with core definitions and the history of sports data before moving into modern tactical metrics and data-driven recruitment strategies. You will read through conceptual breakdowns and work through practical scenarios to build your analytical skills. This course is designed for beginners, football enthusiasts, and aspiring analysts with no prior technical background or mathematical prerequisites. Start your journey into the data-driven world of modern football today.