Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis

Torres-Ronda, L; Beanland, E; Whitehead, S; Sweeting, A; Clubb, J

Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis

Torres-Ronda, L Beanland, E Whitehead, S Sweeting, A Clubb, J

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Publisher:: SpringerOpen
Publication Type:: Journal Article
Citation:: Sports Medicine - Open, 2022, 8, (1), pp. 15-15
Issue Date:: 2022-01-25

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Field	Value	Language
dc.contributor.author	Torres-Ronda, L
dc.contributor.author	Beanland, E
dc.contributor.author	Whitehead, S
dc.contributor.author	Sweeting, A
dc.contributor.author	Clubb, J
dc.date.accessioned	2023-04-06T05:43:51Z
dc.date.available	2022-01-02
dc.date.available	2023-04-06T05:43:51Z
dc.date.issued	2022-01-25
dc.identifier.citation	Sports Medicine - Open, 2022, 8, (1), pp. 15-15
dc.identifier.issn	2198-9761
dc.identifier.issn	2198-9761
dc.identifier.uri	http://hdl.handle.net/10453/169364
dc.description.abstract	Seeking to obtain a competitive advantage and manage the risk of injury, team sport organisations are investing in tracking systems that can quantify training and competition characteristics. It is expected that such information can support objective decision-making for the prescription and manipulation of training load. This narrative review aims to summarise, and critically evaluate, different tracking systems and their use within team sports. The selection of systems should be dependent upon the context of the sport and needs careful consideration by practitioners. The selection of metrics requires a critical process to be able to describe, plan, monitor and evaluate training and competition characteristics of each sport. An emerging consideration for tracking systems data is the selection of suitable time analysis, such as temporal durations, peak demands or time series segmentation, whose best use depends on the temporal characteristics of the sport. Finally, examples of characteristics and the application of tracking data across seven popular team sports are presented. Practitioners working in specific team sports are advised to follow a critical thinking process, with a healthy dose of scepticism and awareness of appropriate theoretical frameworks, where possible, when creating new or selecting an existing metric to profile team sport athletes.
dc.format	Electronic
dc.language	eng
dc.publisher	SpringerOpen
dc.relation.ispartof	Sports Medicine - Open
dc.relation.isbasedon	10.1186/s40798-022-00408-z
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1106 Human Movement and Sports Sciences
dc.title	Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis
dc.type	Journal Article
utslib.citation.volume	8
utslib.location.activity	Switzerland
utslib.for	1106 Human Movement and Sports Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-06T05:43:46Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	8
utslib.citation.issue	1

Abstract:

Seeking to obtain a competitive advantage and manage the risk of injury, team sport organisations are investing in tracking systems that can quantify training and competition characteristics. It is expected that such information can support objective decision-making for the prescription and manipulation of training load. This narrative review aims to summarise, and critically evaluate, different tracking systems and their use within team sports. The selection of systems should be dependent upon the context of the sport and needs careful consideration by practitioners. The selection of metrics requires a critical process to be able to describe, plan, monitor and evaluate training and competition characteristics of each sport. An emerging consideration for tracking systems data is the selection of suitable time analysis, such as temporal durations, peak demands or time series segmentation, whose best use depends on the temporal characteristics of the sport. Finally, examples of characteristics and the application of tracking data across seven popular team sports are presented. Practitioners working in specific team sports are advised to follow a critical thinking process, with a healthy dose of scepticism and awareness of appropriate theoretical frameworks, where possible, when creating new or selecting an existing metric to profile team sport athletes.

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http://hdl.handle.net/10453/169364