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Using network metrics to investigate football team players’ connections : a pilot study

2014Journal 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.accessioned2023-09-27T09:40:51Z
dc.date.available2023-09-27T09:40:51Z
dc.date.issued2014
dc.description.abstractThe aim of this pilot study was propose a set of network methods to measure the specific properties of football teams. These metrics were organized on “meso” and “micro” analysis levels. Five official matches of the same team on the First Portuguese Football League were analyzed. An overall of 577 offensive plays were analyzed from the five matches. From the adjacency matrices developed per each offensive play it were computed the scaled connectivity, the clustering coefficient and the centroid significance and centroid conformity. Results showed that the highest values of scaled connectivity were found in lateral defenders and central and midfielder players and the lowest values were found in the striker and goalkeeper. The highest values of clustering coefficient were generally found in midfielders and forwards. In addition, the centroid results showed that lateral and central defenders tend to be the centroid players in the attacking process. In sum, this study showed that network metrics can be a powerful tool to help coaches to understanding the specific team’s properties, thus supporting decision-making and improving sports training based on match analysis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doidx.doi.org/10.1590/S1980-65742014000300004pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/46784
dc.language.isoengpt_PT
dc.publisherUNESPpt_PT
dc.subjectmatch analysispt_PT
dc.subjectfootballpt_PT
dc.subjectnetworkpt_PT
dc.subjectmetricspt_PT
dc.subjectperformancept_PT
dc.subjectanálise de jogopt_PT
dc.subjectfutebolpt_PT
dc.subjectnetworkpt_PT
dc.subjectmétricaspt_PT
dc.subjectrendimentopt_PT
dc.titleUsing network metrics to investigate football team players’ connections : a pilot studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceRio Claropt_PT
oaire.citation.endPage271pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage262pt_PT
oaire.citation.titleMotrizpt_PT
oaire.citation.volume20pt_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.latestForDiscovery805fc13a-0e76-4f11-9d4c-0dc177f8145c

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