The case for adopting a multivariate approach to optimize training load quantification in team sports

D. Weaving; Ben Jones; K. Till; G. Abt; C. Beggs

doi:10.3389/fphys.2017.01024

The case for adopting a multivariate approach to optimize training load quantification in team sports

D. Weaving
, Ben Jones
, K. Till
, G. Abt
, C. Beggs

Sport & Physical Activity

Leeds Beckett University
Leeds Rhinos Rugby League Club
University of Hull

Research output: Contribution to journal › Article (journal) › peer-review

34 Citations (Scopus)

Abstract

Professional sports teams are investing substantial resources in monitoring the training load (TL) in their players in an attempt to achieve favorable training outcomes such as increases in performance and a reduction in negative outcomes such as injury.

Original language	English
Article number	1024
Pages (from-to)	1-3
Journal	Frontiers in Physiology
Volume	8
Issue number	DEC
DOIs	https://doi.org/10.3389/fphys.2017.01024
Publication status	Published - 12 Dec 2017

Keywords

External training load
Global positioning systems (GPS)
Multivariate analysis
Orthogonal analysis
Reductionism
Training load

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10.3389/fphys.2017.01024Licence: CC BY

Cite this

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The case for adopting a multivariate approach to optimize training load quantification in team sports

Abstract

Keywords

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