Expected Goals (xG) and the Limits of Scientific Knowledge in Football скачать в хорошем качестве

Expected Goals (xG) and the Limits of Scientific Knowledge in Football

This podcast examines the concept of expected goals (xG) from the perspective of the philosophy of science. Expected goals are widely used in modern football analytics to evaluate chances, performance, and decision-making. While xG relies on empirical data, statistical models, and probabilistic reasoning, its scientific status raises important philosophical questions. The podcast explores whether xG provides scientific knowledge or functions primarily as a heuristic tool. Drawing on key ideas from the philosophy of science—such as the problem of induction, falsification, underdetermination, and epistemic reliability—it analyses both the strengths and limitations of data-driven models in football. The discussion also considers practical objections from coaches and analysts, highlighting the tension between practical effectiveness and scientific justification. This podcast was created as part of a university course in Philosophy of Science.