Performance indicators contributing to success at the group and play-off stages of the 2019 Rugby World Cup

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/111904
Full metadata record
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBunker, Rory P.-
dc.contributor.authorSpencer, Kirsten-
dc.date.accessioned2021-01-13T10:44:50Z-
dc.date.available2021-01-13T10:44:50Z-
dc.date.issued2022-
dc.identifier.citationJournal of Human Sport and Exercise. 2022, 17(3): 683-698. https://doi.org/10.14198/jhse.2022.173.18es_ES
dc.identifier.issn1988-5202-
dc.identifier.urihttp://hdl.handle.net/10045/111904-
dc.description.abstractPerformance indicators that contributed to success at the group and play-off stages of the 2019 Rugby World Cup were analysed using publicly available data obtained from the official tournament website using both a non-parametric statistical technique, Wilcoxon’s signed rank test, and a decision rules technique from machine learning called RIPPER. Our statistical results found that ball carry effectiveness (percentage of ball carries that penetrated the opposition gain-line) and total metres gained (kick metres plus carry metres) were found to contribute to success at both stages of the tournament and that indicators that contributed to success during group stages (dominating possession, making more ball carries, making more passes, winning more rucks, and making less tackles) did not contribute to success at the play-off stage. Our results using RIPPER found that low ball carries and a low lineout success percentage jointly contributed to losing at the group stage, while winning a low number of rucks and carrying over the gain-line a sufficient number of times contributed to winning at the play-off stage of the tournament. The results emphasise the need for teams to adapt their playing strategies from group stage to the play-off stage at the tournament in order to be successful.es_ES
dc.languageenges_ES
dc.publisherUniversidad de Alicante. Área de Educación Física y Deportees_ES
dc.rightsThis work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)es_ES
dc.subjectDecision ruleses_ES
dc.subjectRugby Uniones_ES
dc.subjectSport performance analysises_ES
dc.subjectMachine learninges_ES
dc.subjectNon-parametric statisticses_ES
dc.subjectRIPPERes_ES
dc.subject.otherEducación Física y Deportivaes_ES
dc.titlePerformance indicators contributing to success at the group and play-off stages of the 2019 Rugby World Cupes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.14198/jhse.2022.173.18-
dc.relation.publisherversionhttps://doi.org/10.14198/jhse.2022.173.18es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Journal of Human Sport and Exercise - 2022, Vol. 17, No. 3

Files in This Item:
Files in This Item:
File Description SizeFormat 
ThumbnailHSE_17-3_18.pdf633,81 kBAdobe PDFOpen Preview


This item is licensed under a Creative Commons License Creative Commons