Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58216
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dc.contributor.authorCollins, Neilen
dc.contributor.authorWhite, Ryanen
dc.contributor.authorPalczewska, Annaen
dc.contributor.authorWeaving, Danen
dc.contributor.authorDalton-Barron, Nicholasen
dc.contributor.authorJones, Benen
dc.date.accessioned2024-04-09T04:49:54Z-
dc.date.available2024-04-09T04:49:54Z-
dc.date.issued2023-02-
dc.identifier.citationEuropean Journal of Sport Science, 23(2), p. 201-209en
dc.identifier.issn1536-7290en
dc.identifier.issn1746-1391en
dc.identifier.urihttps://hdl.handle.net/1959.11/58216-
dc.description.abstract<p>This study aims to (a) quantify the movement patterns during rugby league match-play and (b) identify if differences exist by levels of competition within the movement patterns and units through the sequential movement pattern (SMP) algorithm. Global Positioning System data were analysed from three competition levels; four Super League regular (<i>regular-SL</i>), three Super League (semi-)Finals (<i>final-SL</i>) and four <i>international</i> rugby league (<i>international</i>) matches. The SMP framework extracted movement pattern data for each athlete within the dataset. Between competition levels, differences were analysed using linear discriminant analysis (LDA). Movement patterns were decomposed into their composite movement units; then Kruskal–Wallis rank-sum and Dunn post-hoc were used to show differences. The SMP algorithm found 121 movement patterns comprised mainly of "walk" and "jog" based movement units. The LDA had an accuracy score of 0.81, showing good separation between competition levels. Linear discriminant 1 and 2 explained 86% and 14% of the variance. The Kruskal–Wallis found differences between competition levels for 9 of 17 movement units. Differences were primarily present between <i>regular-SL</i> and <i>international</i> with other combinations showing less differences. Movement units which showed significant differences between competition levels were mainly composed of low velocities with mixed acceleration and turning angles. The SMP algorithm found 121 movement patterns across all levels of rugby league match-play, of which, 9 were found to show significant differences between competition levels. Of these nine, all showed significant differences present between <i>international</i> and domestic, whereas only four found differences present within the domestic levels. This study shows the SMP algorithm can be used to differentiate between levels of rugby league and that higher levels of competition may have greater velocity demands.</p>en
dc.languageenen
dc.publisherJohn Wiley & Sons Ltden
dc.relation.ispartofEuropean Journal of Sport Scienceen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMoving beyond velocity derivatives; using global positioning system data to extract sequential movement patterns at different levels of rugby league matchplayen
dc.typeJournal Articleen
dc.identifier.doi10.1080/17461391.2022.2027527en
dcterms.accessRightsUNE Greenen
dc.subject.keywordsdata analyticsen
dc.subject.keywordsSport Sciencesen
dc.subject.keywordsGlobal positioning systemsen
dc.subject.keywordsteam sportsen
local.contributor.firstnameNeilen
local.contributor.firstnameRyanen
local.contributor.firstnameAnnaen
local.contributor.firstnameDanen
local.contributor.firstnameNicholasen
local.contributor.firstnameBenen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailbjones64@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage201en
local.format.endpage209en
local.peerreviewedYesen
local.identifier.volume23en
local.identifier.issue2en
local.access.fulltextYesen
local.contributor.lastnameCollinsen
local.contributor.lastnameWhiteen
local.contributor.lastnamePalczewskaen
local.contributor.lastnameWeavingen
local.contributor.lastnameDalton-Barronen
local.contributor.lastnameJonesen
dc.identifier.staffune-id:bjones64en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/58216en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMoving beyond velocity derivatives; using global positioning system data to extract sequential movement patterns at different levels of rugby league matchplayen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorCollins, Neilen
local.search.authorWhite, Ryanen
local.search.authorPalczewska, Annaen
local.search.authorWeaving, Danen
local.search.authorDalton-Barron, Nicholasen
local.search.authorJones, Benen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/4c80e29b-9305-4a4e-962f-defadd3b567cen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/4c80e29b-9305-4a4e-962f-defadd3b567cen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/4c80e29b-9305-4a4e-962f-defadd3b567cen
local.subject.for20204207 Sports science and exerciseen
local.subject.seo2020TBDen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
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