Simplifying the complexity of assessing physical performance in professional Australian football

Sheehan, WB; Tribolet, R; Spurrs, R; Fransen, J; Novak, AR; Watsford, ML

Simplifying the complexity of assessing physical performance in professional Australian football

Sheehan, WB Tribolet, R

Spurrs, R Fransen, J

Novak, AR Watsford, ML

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Publisher:: Informa UK Limited
Publication Type:: Journal Article
Citation:: Science and Medicine in Football, 2020, 4, (4), pp. 285-292
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Sheehan, WB
dc.contributor.author	Tribolet, R https://orcid.org/0000-0001-9252-1900
dc.contributor.author	Spurrs, R
dc.contributor.author	Fransen, J https://orcid.org/0000-0003-3355-1848
dc.contributor.author	Novak, AR
dc.contributor.author	Watsford, ML
dc.date.accessioned	2021-01-18T23:06:01Z
dc.date.available	2021-01-18T23:06:01Z
dc.date.issued	2020-01-01
dc.identifier.citation	Science and Medicine in Football, 2020, 4, (4), pp. 285-292
dc.identifier.issn	2473-3938
dc.identifier.issn	2473-4446
dc.identifier.uri	http://hdl.handle.net/10453/145470
dc.description.abstract	© 2020 Informa UK Limited, trading as Taylor & Francis Group. Purpose: To provide a simplified, novel method for analysing the physical demands in an Australian Football context by reducing the dimensionality of commonly reported physical characteristics obtained from match play. This may facilitate their practical use and interpretability. Methods: A retrospective longitudinal design was utilised with individual players’ physical outputs, measured via global navigation satellite system devices, collected during official Australian Football League matches over three seasons. A principal component analysis was used to reduce a large number of correlated physical characteristics related to the analysis of physical match demands into a smaller set of uncorrelated components. Results: Forty-six variables were reduced to five principal components whilst maintaining 56% of the variance in the original dataset. The principal component analysis derived five individual-based principal components pertaining to low-moderate movement volume, high speed running volume, accelerations, change of direction and impacts. Conclusions: Utilising factor loadings (eigenvectors) derived from a principal component analysis, this study is the first to provide a simplified, novel method for analysing the physical demands in an Australian Football context with the derived metrics revealing useful information for coaches and practitioners. This may consequently guide training implementation, player performance ratings and player selection. Further, these new values may facilitate the monitoring of physical player loads.
dc.language	en
dc.publisher	Informa UK Limited
dc.relation	Sydney Swans Limited
dc.relation	Sydney Swans Limited
dc.relation.ispartof	Science and Medicine in Football
dc.relation.isbasedon	10.1080/24733938.2020.1745264
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Simplifying the complexity of assessing physical performance in professional Australian football
dc.type	Journal Article
utslib.citation.volume	4
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	closed_access	*
dc.date.updated	2021-01-18T23:05:34Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	4
utslib.citation.issue	4

Abstract:

© 2020 Informa UK Limited, trading as Taylor & Francis Group. Purpose: To provide a simplified, novel method for analysing the physical demands in an Australian Football context by reducing the dimensionality of commonly reported physical characteristics obtained from match play. This may facilitate their practical use and interpretability. Methods: A retrospective longitudinal design was utilised with individual players’ physical outputs, measured via global navigation satellite system devices, collected during official Australian Football League matches over three seasons. A principal component analysis was used to reduce a large number of correlated physical characteristics related to the analysis of physical match demands into a smaller set of uncorrelated components. Results: Forty-six variables were reduced to five principal components whilst maintaining 56% of the variance in the original dataset. The principal component analysis derived five individual-based principal components pertaining to low-moderate movement volume, high speed running volume, accelerations, change of direction and impacts. Conclusions: Utilising factor loadings (eigenvectors) derived from a principal component analysis, this study is the first to provide a simplified, novel method for analysing the physical demands in an Australian Football context with the derived metrics revealing useful information for coaches and practitioners. This may consequently guide training implementation, player performance ratings and player selection. Further, these new values may facilitate the monitoring of physical player loads.

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http://hdl.handle.net/10453/145470