A network approach to characterize the teammates' interactions on football : a single match analysis
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/46720 |
Resumo: | : *e aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *esemetrics were applied in three levels of analysis: i) micro (individual analysis); ii) meso (players’ contribution for the team); and iii) macro (global interaction of the team). One-single case study match was observed and from such procedure were analysed 131 attacking plays. Results from the macro analysis showed a moderate heterogeneity between teammates, thus suggesting the emergence of clusters within the team. *e players with highest connections with their teammates were the right defender, central defender from the left side, defensive mid+elder, right mid+elder and the forward player. Finally, in the micro analysis was observed that right defender, central defender, right mid+elder and the forward can be considered the centroid players during attacking plays, thus being the most prominent in the attacking building. In sum, the network metrics allowed to characterize the teammates’ interaction during the attacking plays, providing an important and di<erent information that can be useful for the future of match analysis. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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A network approach to characterize the teammates' interactions on football : a single match analysisUma abordagem através de métodos de network para caracterizar as interações entre futebolistas : análise de um jogoMatch AnalysisFootballCooperationNetworkMetricsAnálise de jogoFutebolCooperaçãoNetworkMétricas: *e aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *esemetrics were applied in three levels of analysis: i) micro (individual analysis); ii) meso (players’ contribution for the team); and iii) macro (global interaction of the team). One-single case study match was observed and from such procedure were analysed 131 attacking plays. Results from the macro analysis showed a moderate heterogeneity between teammates, thus suggesting the emergence of clusters within the team. *e players with highest connections with their teammates were the right defender, central defender from the left side, defensive mid+elder, right mid+elder and the forward player. Finally, in the micro analysis was observed that right defender, central defender, right mid+elder and the forward can be considered the centroid players during attacking plays, thus being the most prominent in the attacking building. In sum, the network metrics allowed to characterize the teammates’ interaction during the attacking plays, providing an important and di<erent information that can be useful for the future of match analysis.Servicio de Publicaciones de la Univerasidad de MurciaRepositório ComumManuel Clemente, FilipeM. L. Martins, FernandoCouceiro, MicaelMendes, RuiFigueiredo, António José2023-09-22T16:15:09Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46720enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-28T02:16:51Zoai:comum.rcaap.pt:10400.26/46720Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:31:33.587799Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A network approach to characterize the teammates' interactions on football : a single match analysis Uma abordagem através de métodos de network para caracterizar as interações entre futebolistas : análise de um jogo |
title |
A network approach to characterize the teammates' interactions on football : a single match analysis |
spellingShingle |
A network approach to characterize the teammates' interactions on football : a single match analysis Manuel Clemente, Filipe Match Analysis Football Cooperation Network Metrics Análise de jogo Futebol Cooperação Network Métricas |
title_short |
A network approach to characterize the teammates' interactions on football : a single match analysis |
title_full |
A network approach to characterize the teammates' interactions on football : a single match analysis |
title_fullStr |
A network approach to characterize the teammates' interactions on football : a single match analysis |
title_full_unstemmed |
A network approach to characterize the teammates' interactions on football : a single match analysis |
title_sort |
A network approach to characterize the teammates' interactions on football : a single match analysis |
author |
Manuel Clemente, Filipe |
author_facet |
Manuel Clemente, Filipe M. L. Martins, Fernando Couceiro, Micael Mendes, Rui Figueiredo, António José |
author_role |
author |
author2 |
M. L. Martins, Fernando Couceiro, Micael Mendes, Rui Figueiredo, António José |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Manuel Clemente, Filipe M. L. Martins, Fernando Couceiro, Micael Mendes, Rui Figueiredo, António José |
dc.subject.por.fl_str_mv |
Match Analysis Football Cooperation Network Metrics Análise de jogo Futebol Cooperação Network Métricas |
topic |
Match Analysis Football Cooperation Network Metrics Análise de jogo Futebol Cooperação Network Métricas |
description |
: *e aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *esemetrics were applied in three levels of analysis: i) micro (individual analysis); ii) meso (players’ contribution for the team); and iii) macro (global interaction of the team). One-single case study match was observed and from such procedure were analysed 131 attacking plays. Results from the macro analysis showed a moderate heterogeneity between teammates, thus suggesting the emergence of clusters within the team. *e players with highest connections with their teammates were the right defender, central defender from the left side, defensive mid+elder, right mid+elder and the forward player. Finally, in the micro analysis was observed that right defender, central defender, right mid+elder and the forward can be considered the centroid players during attacking plays, thus being the most prominent in the attacking building. In sum, the network metrics allowed to characterize the teammates’ interaction during the attacking plays, providing an important and di<erent information that can be useful for the future of match analysis. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2014-01-01T00:00:00Z 2023-09-22T16:15:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/46720 |
url |
http://hdl.handle.net/10400.26/46720 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Servicio de Publicaciones de la Univerasidad de Murcia |
publisher.none.fl_str_mv |
Servicio de Publicaciones de la Univerasidad de Murcia |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133583307177984 |