A network approach to characterize the teammates' interactions on football: a single match analysis

Detalhes bibliográficos
Autor(a) principal: Clemente, Filipe M.
Data de Publicação: 2014
Outros Autores: Martins, Fernando Manuel Lourenço, Couceiro, Micael Santos, Mendes, Rui Sousa, Figueiredo, António José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/10316/109391
https://doi.org/10.4321/S1578-84232014000300015
Resumo: The aim aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *ese metrics 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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spelling A network approach to characterize the teammates' interactions on football: a single match analysisUn enfoque usando los métodos de network para caracterizar las interacciones entre los jugadores: Análisis de un juegoMatch AnalysisFootballCooperationNetworkMetricsAnálisis del partidoFútbolCooperaciónRed de matricesMétricaAnálise de jogoFutebolCooperaçãoNetworkMétricasThe aim aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *ese metrics 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.El objetivo de este estudio de caso fue aplicar un conjunto de métricas de network con el +n de caracterizar la cooperación de los compañeros de equipo en un equipo de fútbol. Estas métricas se aplicaron en tres niveles de análisis: i) las micro (análisis del jugador), ii) meso (análisis de la contribución del jugador en el equipo), y iii) macro (análisis de la interacción global). Se observó un solo partido y se analizaron 131 jugadas de ataque. Los resultados del análisis macro mostraron una moderada heterogeneidad entre los compañeros de equipo, lo que sugiere la aparición de grupos dentro del equipo. Los jugadores con más conexiones con sus compañeros de equipo fueron el defensa derecho, defensa central del lado izquierdo, centrocampista defensivo, centrocampista derecho y el jugador a seguir. Por último, en el análisis micro se observó que la defensa derecho, defensa central, volante derecho y el delantero se puede considerar a los jugadores durante el centroide atacar obras, siendo así el más prominente en el proceso atacando. En suma, las métricas de network permiten caracterizar la interacción de los compañeros de equipo durante las jugadas de ataque, proporcionando una información importante y diferente que puede ser útil para el futuro del análisis de partidos.O objetivo deste estudo foi aplicar um conjunto de métricas de network de forma a caracterizar a cooperação entre companheiros de equipa numa equipa de futebol. Essas métricas foram aplicadas em três níveis de análise: i) micro (análise individual); ii) meso (contributo do jogador para a equipa); e iii) macro (interação global da equipa). Observou-se um jogo como caso de estudo sendo que, desse procedimento, analisaram-se 131 jogadas de ataque. Os resultados da macro análise evidenciaram valores moderados de heterogeneidade dentro da equipa, sugerindo a emergência de grupos. No caso da análise meso foi possível observar que os maiores valores de escala de conetividade foram encontrados no defensor direito, defesa-central do lado esquerdo, médio defensivo, médio direito e avançado. Finalmente, durante a micro análise foi possível observar que o defensor direito, o defensor central, o médio direito e o avançado podem ser considerados como os jogadores centroides durante as jogadas atacantes revelandose como proeminentes no processo de construção ofensiva. Resumidamente, as métricas de network permitiram caracterizar a interação entre companheiros de equipa durante as jogadas de ataque, disponibilizando informação importante e diferente que pode ser útil para o futuro da análise de jogo.University of Murcia2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/109391https://hdl.handle.net/10316/109391https://doi.org/10.4321/S1578-84232014000300015eng1578-8423Clemente, Filipe M.Martins, Fernando Manuel LourençoCouceiro, Micael SantosMendes, Rui SousaFigueiredo, António Joséinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2023-10-12T09:23:21Zoai:estudogeral.uc.pt:10316/109391Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:01:02.717682Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A network approach to characterize the teammates' interactions on football: a single match analysis
Un enfoque usando los métodos de network para caracterizar las interacciones entre los jugadores: Análisis de un juego
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
Clemente, Filipe M.
Match Analysis
Football
Cooperation
Network
Metrics
Análisis del partido
Fútbol
Cooperación
Red de matrices
Métrica
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 Clemente, Filipe M.
author_facet Clemente, Filipe M.
Martins, Fernando Manuel Lourenço
Couceiro, Micael Santos
Mendes, Rui Sousa
Figueiredo, António José
author_role author
author2 Martins, Fernando Manuel Lourenço
Couceiro, Micael Santos
Mendes, Rui Sousa
Figueiredo, António José
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Clemente, Filipe M.
Martins, Fernando Manuel Lourenço
Couceiro, Micael Santos
Mendes, Rui Sousa
Figueiredo, António José
dc.subject.por.fl_str_mv Match Analysis
Football
Cooperation
Network
Metrics
Análisis del partido
Fútbol
Cooperación
Red de matrices
Métrica
Análise de jogo
Futebol
Cooperação
Network
Métricas
topic Match Analysis
Football
Cooperation
Network
Metrics
Análisis del partido
Fútbol
Cooperación
Red de matrices
Métrica
Análise de jogo
Futebol
Cooperação
Network
Métricas
description The aim aim of this case study was to apply a set of network metrics in order to characterize the teammates’ cooperation in a football team. *ese metrics 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
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 https://hdl.handle.net/10316/109391
https://hdl.handle.net/10316/109391
https://doi.org/10.4321/S1578-84232014000300015
url https://hdl.handle.net/10316/109391
https://doi.org/10.4321/S1578-84232014000300015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1578-8423
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv University of Murcia
publisher.none.fl_str_mv University of Murcia
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602548738555904

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