Predicting Future Performance in Powerlifting: A Machine Learning Approach.

ABSTRACT:

Background

Powerlifting is a discipline in which athletes aim to lift the maximum weight in 3 exercises: Squat, Bench Press, and Deadlift. Since the introduction of "Classic" powerlifting by the International Powerlifting Federation (IPF) in 2012, there has been an increase in popularity, athlete participation, and attention from sports science research. Previous studies have examined factors influencing the long-term longitudinal adaptation of upper- and lower-body strength, but no one used this information to develop predictive models of future classic powerlifting performances, especially considering the different age, sex, and weight categories, with the final aim of tailoring the medium- and long-term training goals. This study aims to develop and validate a machine learning-b

SUBMITTER: Ferrari L 

PROVIDER: S-EPMC12488546 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature