Data-driven training for soccer goalkeeping

This podcast episode discusses the concept of data-driven training for soccer goalkeeping. It explores how movement analyses and research on effective movement patterns can be used to design strength and conditioning (SNC) and skill training programs. The episode highlights a study on using data-driven approaches to improve diving saves in soccer goalkeeping. The study focuses on identifying effective movement solutions, such as using the contralateral leg and wider stances. The researchers created a 12-week training program tailored to these findings and found improvements in stance width, movement time, and power off the contralateral leg. The episode emphasizes the importance of using movement analyses to guide practice design and acknowledges the need for individualization based on intrinsic dynamics and individual constraints.