Performance Indicators Contributing to Success at the Group and Play-off Stages of the 2019 Rugby World Cup

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aut.relation.issue3en_NZ
aut.relation.journalJournal of Human Sport and Exerciseen_NZ
aut.relation.volume17en_NZ
aut.researcherSpencer, Kirsten
dc.contributor.authorBunker, RPen_NZ
dc.contributor.authorSpencer, Ken_NZ
dc.date.accessioned2021-01-27T23:15:33Z
dc.date.available2021-01-27T23:15:33Z
dc.date.copyright2021
dc.date.issued2021
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.
dc.identifier.citationJournal of Human Sport and Exercise. 2022, 17(3), in press. https://doi.org/10.14198/jhse.2022.173.18
dc.identifier.doi10.14198/jhse.2022.173.18en_NZ
dc.identifier.issn1988-5202en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13946
dc.publisherUniversidad de Alicante Servicio de Publicacionesen_NZ
dc.relation.urihttp://rua.ua.es/dspace/handle/10045/111904
dc.rightsThis work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectDecision rules; Rugby Union; Sport performance analysis; Machine learning; Non-parametric statistics; RIPPER
dc.titlePerformance Indicators Contributing to Success at the Group and Play-off Stages of the 2019 Rugby World Cupen_NZ
dc.typeJournal Article
pubs.elements-id397432
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Sports & Recreation
pubs.organisational-data/AUT/Health & Environmental Science/SPRINZ
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HS Sports & Recreation 2018 PBRF
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