In this episode, we explore the shift in football performance analysis away from traditional running metrics as key performance indicators. Drawing from the article “Time to Drop Running as a KPI in Football” by Mandorino et al., we discuss how total distance covered during matches often reflects tactical context rather than player readiness or fitness. The authors propose a Sport Science 3.0 approach, using machine learning and embedded monitoring to better assess a player’s physiological and neuromuscular status. We examine how these insights reshape medical decision-making for keeping athletes healthy and optimizing return-to-play strategies, emphasizing that the quality of football actions—not the quantity of running—ultimately drives match success.

Join us as we unpack these groundbreaking insights and their implications for football performance and athlete health.

SPSR254_Mandorino.pdf