Tactical analysis of individual and team behaviour in professional Australian Football: Original investigation

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

Tactical analysis of individual and team behaviour in professional Australian Football: Original investigation

Sheehan, WB Tribolet, R

Watsford, ML Novak, AR Rennie, M

Fransen, J

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Publisher:: TAYLOR & FRANCIS LTD
Publication Type:: Journal Article
Citation:: Science and Medicine in Football, 2021
Issue Date:: 2021-01-01

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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	Watsford, ML
dc.contributor.author	Novak, AR
dc.contributor.author	Rennie, M https://orcid.org/0000-0001-5590-139X
dc.contributor.author	Fransen, J https://orcid.org/0000-0003-3355-1848
dc.date.accessioned	2021-11-26T01:27:44Z
dc.date.available	2021-11-26T01:27:44Z
dc.date.issued	2021-01-01
dc.identifier.citation	Science and Medicine in Football, 2021
dc.identifier.issn	2473-3938
dc.identifier.issn	2473-4446
dc.identifier.uri	http://hdl.handle.net/10453/151857
dc.description.abstract	Introduction: This study sought to reduce the dimensionality of commonly reported spatiotemporal characteristics obtained from Australian Football games to facilitate their practical use and interpretability. Methods: A retrospective longitudinal design was utilised with team and individual spatiotemporal variables, measured via global navigation satellite system devices, collected during official Australian Football League matched over three seasons. Two separate principal component analyses were conducted at the team and individual level to reduce correlated spatiotemporal characteristics into a smaller set of uncorrelated components. Results: At the team level, eighteen variables were reduced to five components pertaining to dispersive coordination, lateral predictability and spacing, multidirectional synchrony, longitudinal predictability and longitudinal behaviour whilst maintaining 69% of variance in the original dataset. At the individual level, fifteen variables were reduced to four components pertaining to multidirectional and spacing synchrony, unpredictability, player movement and player positioning whilst maintaining 64% of variance. Conclusion: This study is the first to provide a simplified, novel method for analysing spatiotemporal behaviour in an Australian Football context with both the team- and individual- derived metrics revealing useful information for coaches and practitioners. Components may provide insight into behaviours that emerge and persist throughout a game and allow coaches to distinguish between different playing/behavioural styles.
dc.language	English
dc.publisher	TAYLOR & FRANCIS LTD
dc.relation	Sydney Swans Limited
dc.relation.ispartof	Science and Medicine in Football
dc.relation.isbasedon	10.1080/24733938.2021.1923792
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Tactical analysis of individual and team behaviour in professional Australian Football: Original investigation
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	closed_access	*
dc.date.updated	2021-11-26T01:27:42Z
pubs.publication-status	Published

Abstract:

Introduction: This study sought to reduce the dimensionality of commonly reported spatiotemporal characteristics obtained from Australian Football games to facilitate their practical use and interpretability. Methods: A retrospective longitudinal design was utilised with team and individual spatiotemporal variables, measured via global navigation satellite system devices, collected during official Australian Football League matched over three seasons. Two separate principal component analyses were conducted at the team and individual level to reduce correlated spatiotemporal characteristics into a smaller set of uncorrelated components. Results: At the team level, eighteen variables were reduced to five components pertaining to dispersive coordination, lateral predictability and spacing, multidirectional synchrony, longitudinal predictability and longitudinal behaviour whilst maintaining 69% of variance in the original dataset. At the individual level, fifteen variables were reduced to four components pertaining to multidirectional and spacing synchrony, unpredictability, player movement and player positioning whilst maintaining 64% of variance. Conclusion: This study is the first to provide a simplified, novel method for analysing spatiotemporal behaviour in an Australian Football context with both the team- and individual- derived metrics revealing useful information for coaches and practitioners. Components may provide insight into behaviours that emerge and persist throughout a game and allow coaches to distinguish between different playing/behavioural styles.

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http://hdl.handle.net/10453/151857