Streamlining performance prediction: data-driven KPIs in all swimming strokes

Streamlining performance prediction: data-driven KPIs in all swimming strokes

Abstract Objective This study aimed to identify Key Performance Indicators (KPIs) for men’s swimming strokes using Principal Component Analysis (PCA) and Multiple Regression Analysis to enhance training strategies and performance optimization. The analyses included all men’s individual 100 m races o...

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Bibliographic Details
Main Authors: Craig A. Staunton, Michael Romann, Glenn Björklund, Dennis-Peter Born
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Research Notes
Subjects:
Competitive swimming
Data analysis
Key performance indicators
Performance prediction
Training strategies
Online Access:https://doi.org/10.1186/s13104-024-06714-x

Internet

https://doi.org/10.1186/s13104-024-06714-x

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