Predicting Soccer Players' Fitness Status Through a Machine-Learning Approach.
Journal:
International journal of sports physiology and performance
PMID:
38402880
Abstract
PURPOSE: The study had 3 purposes: (1) to develop an index using machine-learning techniques to predict the fitness status of soccer players, (2) to explore the index's validity and its relationship with a submaximal run test (SMFT), and (3) to analyze the impact of weekly training load on the index and SMFT outcomes.