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Using network metrics in soccer : a macro-analysis

2015Journal article Open access
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dc.contributor.authorManuel Clemente, Filipe
dc.contributor.authorCouceiro, Micael
dc.contributor.authorM. L. Martins, Fernando
dc.contributor.authorMendes, Rui
dc.date.accessioned2023-09-27T09:33:15Z
dc.date.available2023-09-27T09:33:15Z
dc.date.issued2015
dc.description.abstractThe aim of this study was to propose a set of network methods to measure the specific properties of a team. These metrics were organised at macro-analysis levels. The interactions between teammates were collected and then processed following the analysis levels herein announced. Overall, 577 offensive plays were analysed from five matches. The network density showed an ambiguous relationship among the team, mainly during the 2nd half. The mean values of density for all matches were 0.48 in the 1st half, 0.32 in the 2nd half and 0.34 for the whole match. The heterogeneity coefficient for the overall matches rounded to 0.47 and it was also observed that this increased in all matches in the 2nd half. The centralisation values showed that there was no ‘star topology’. The results suggest that each node (i.e., each player) had nearly the same connectivity, mainly in the 1st half. Nevertheless, the values increased in the 2nd half, showing a decreasing participation of all players at the same level. Briefly, these metrics showed that it is possible to identify how players connect with each other and the kind and strength of the connections between them. In summary, it may be concluded that network metrics can be a powerful tool to help coaches understand team’s specific properties and support decision-making to improve the sports training process based on match analysis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/46783
dc.language.isoengpt_PT
dc.publisherHuman Kineticspt_PT
dc.subjectgame analysispt_PT
dc.subjectsoccerpt_PT
dc.subjectnetworkpt_PT
dc.subjectmetricspt_PT
dc.titleUsing network metrics in soccer : a macro-analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlace[Champaign]pt_PT
oaire.citation.endPage134pt_PT
oaire.citation.startPage123pt_PT
oaire.citation.titleJournal of Human Kineticspt_PT
oaire.citation.volume45pt_PT
person.familyNameClemente
person.familyNameCouceiro
person.familyNameMartins
person.familyNameMendes
person.givenNameFilipe Manuel
person.givenNameMicael
person.givenNameFernando Manuel Lourenço
person.givenNameRui
person.identifier375349
person.identifier0000000070715256
person.identifier722571
person.identifier.ciencia-id9E1A-F9DD-3EB8
person.identifier.ciencia-id0B14-ED18-23C4
person.identifier.ciencia-id8512-5BB4-6DFD
person.identifier.ciencia-idA71F-1E22-D496
person.identifier.orcid0000-0001-9813-2842
person.identifier.orcid0000-0001-6641-6090
person.identifier.orcid0000-0002-1812-2300
person.identifier.orcid0000-0002-2433-5193
person.identifier.ridG-2625-2012
person.identifier.ridG-4342-2010
person.identifier.ridAAK-6934-2020
person.identifier.scopus-author-id35076901800
person.identifier.scopus-author-id57217191490
person.identifier.scopus-author-id54881476100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryb75ec7e9-b217-42e1-9df0-a340e34ca0d0

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