A multi-season machine learning approach to examine the training load and injury relationship in professional soccer

OBJECTIVES: The purpose of this study was to use machine learning to examine the relationship between training load and soccer injury with a multi-season dataset from one English Premier League club. METHODS: Participants were 35 male professional soccer players (aged 25.79±3.75 years, range 18–37 y...

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Bibliographic Details
Published in:Journal of Sports Analytics
Main Authors: Aritra Majumdar, Rashid Bakirov, Dan Hodges, Sean McCullagh, Tim Rees
Format: Article
Language:English
Published: SAGE Publishing 2024-04-01
Online Access:https://doi.org/10.3233/JSA-240718