Improving the interpretation of skill indicators in professional Australian Football.

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

Improving the interpretation of skill indicators in professional Australian Football.

Sheehan, WB Tribolet, R

Watsford, ML Novak, AR Rennie, M Fransen, J

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Journal of science and medicine in sport, 2020, 23, (9), pp. 872-878
Issue Date:: 2020-02-06

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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
dc.contributor.author	Fransen, J https://orcid.org/0000-0003-3355-1848
dc.date.accessioned	2020-08-19T04:59:33Z
dc.date.available	2020-01-31
dc.date.available	2020-08-19T04:59:33Z
dc.date.issued	2020-02-06
dc.identifier.citation	Journal of science and medicine in sport, 2020, 23, (9), pp. 872-878
dc.identifier.issn	1440-2440
dc.identifier.issn	1878-1861
dc.identifier.uri	http://hdl.handle.net/10453/142226
dc.description.abstract	OBJECTIVES:This study aimed to provide a simplified, novel method for analysing technical skill involvements in an Australian Football context by reducing the dimensionality of commonly reported skill counts obtained from Australian Football League (AFL) games. This may facilitate their practical use and interpretability. DESIGN:Retrospective longitudinal design where individual players' technical skill counts were collected over three seasons of official AFL games. METHODS:Seventy-three skill count values provided publicly by ChampionData® were collected for each match over a three-year analysis period. A principal component analysis was used to reduce the dimensionality of a large number of correlated technical skill indicators into a smaller set of uncorrelated components whilst maintaining most of the variance from the original data set. RESULTS:The principal component analysis derived four principal components pertaining to high-pressure success, low-pressure success, attacking ball movement ability and scoring ability. CONCLUSIONS:This study is the first to provide a simplified, novel method for analysing technical skill counts in Australian Football. The derived metrics reveal useful information for coaches and practitioners. This may consequently ease the interpretation of skill count data available to coaches from games, guide opposition analysis, help in the design of representative practice and inform player performance ratings.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation	Sydney Swans Limited
dc.relation	Sydney Swans Limited
dc.relation.ispartof	Journal of science and medicine in sport
dc.relation.isbasedon	10.1016/j.jsams.2020.01.016
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology, 1117 Public Health and Health Services
dc.subject.classification	Sport Sciences
dc.title	Improving the interpretation of skill indicators in professional Australian Football.
dc.type	Journal Article
utslib.citation.volume	23
utslib.location.activity	Australia
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
utslib.for	1117 Public Health and Health Services
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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-08-19T04:59:09Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	9

Abstract:

OBJECTIVES:This study aimed to provide a simplified, novel method for analysing technical skill involvements in an Australian Football context by reducing the dimensionality of commonly reported skill counts obtained from Australian Football League (AFL) games. This may facilitate their practical use and interpretability. DESIGN:Retrospective longitudinal design where individual players' technical skill counts were collected over three seasons of official AFL games. METHODS:Seventy-three skill count values provided publicly by ChampionData® were collected for each match over a three-year analysis period. A principal component analysis was used to reduce the dimensionality of a large number of correlated technical skill indicators into a smaller set of uncorrelated components whilst maintaining most of the variance from the original data set. RESULTS:The principal component analysis derived four principal components pertaining to high-pressure success, low-pressure success, attacking ball movement ability and scoring ability. CONCLUSIONS:This study is the first to provide a simplified, novel method for analysing technical skill counts in Australian Football. The derived metrics reveal useful information for coaches and practitioners. This may consequently ease the interpretation of skill count data available to coaches from games, guide opposition analysis, help in the design of representative practice and inform player performance ratings.

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http://hdl.handle.net/10453/142226