Using network metrics to investigate football team players' connections: A pilot study

Detalhes bibliográficos
Autor(a) principal: Clemente, Filipe M.
Data de Publicação: 2014
Outros Autores: Couceiro, Micael Santos, Martins, Fernando Manuel Lourenço, Mendes, Rui Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/109510
https://doi.org/10.1590/S1980-65742014000300004
Resumo: The 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.
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spelling Using network metrics to investigate football team players' connections: A pilot studymatch analysisfootballnetworkmetricsperformanceanálise de jogofutebolnetworkmétricasrendimentoanálisis del juegofútbolredmétricasrendimientoThe 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.Resumo—“Avaliando as conexões entre jogadores de futebol utilizando métricas de network: Um estudo piloto.” O presente estudo piloto teve como objetivo do piloto propor um conjunto de métodos de network para avaliar as propriedades de equipes de futebol. Essas métricas foram organizadas em função dos níveis de análise “meso” e “micro.” Foram analisados cinco jogos oficiais da mesma equipa participante na Primeira Liga Profissional de Futebol Português. Um conjunto de 577 jogadas atacantes foram analisadas ao longo desses cinco jogos. As interações entre companheiros de equipa foram recolhidas e processadas seguindo os níveis de análise anteriormente referidos. Os resultados evidenciaram que os maiores valores de escala de conetividade foram encontrados nos defensores laterais e zagueiros, bem como, nos meio-campistas e os menores valores encontraram-se no atacante e goleiro. Os maiores valores de coeficiente de agrupamento foram geralmente encontrados nos meio-campistas e atacantes. No caso dos resultados relativos ao centroid verificou-se que os defensores laterais e zagueiros tendem a ser os jogadores centroids no processo atacante. Em resumo, este estudo destacou que as métricas de network podem ser um instrumento poderoso para auxiliar os treinadores a compreenderem as propriedades específicas das equipes, suportando a tomada de decisão e melhorando o treinamento tendo como base a análise de jogo.Resumen—“La evaluación de las conexiones entre los jugadores de fútbol utilizando métricas de red: un estudio piloto.” El objetivo de este estudio piloto fue el de proponer un conjunto de métodos para evaluar las propiedades de la red los equipos de fútbol. Estas métricas se organizaron de acuerdo con el nivel de análisis “meso” y “micro.” Se analizaron cinco partidos oficiales en el mismo equipo que participan en la Liga Premier de Fútbol Profesional de Portugal. Se analizó una serie de 577 atacantes mueve en estos cinco partidos. Las interacciones entre los compañeros de equipo fueron recolectados y procesados siguiendo los niveles de análisis mencionados. Los resultados mostraron que los valores más altos de conectividad de la escala se encuentran en los defensores laterales y centrales, así como los mediocampistas centrales y los valores más bajos se encontraron en-punta delantera y el portero. Los valores más altos del coeficiente de agrupamiento se encuentran generalmente en el medio y los atacantes. En los resultados para el jugador centroid, se encontró que los defensores laterales y centrales tienden a ser actores centrales en el proceso de ataque. En resumen, este estudio pone de relieve que las métricas de la red puede ser una herramienta poderosa para ayudar a los entrenadores a comprender las propiedades específicas de los equipos, el apoyo a la toma de decisiones y la mejora de lo entrenamiento basada en el análisis del juego.Universidade Estadual Paulista (UNESP)2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/109510http://hdl.handle.net/10316/109510https://doi.org/10.1590/S1980-65742014000300004eng1980-6574Clemente, Filipe M.Couceiro, Micael SantosMartins, Fernando Manuel LourençoMendes, Rui Sousainfo: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:RCAAP2023-10-18T10:06:12Zoai:estudogeral.uc.pt:10316/109510Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:41.775423Repositório 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 Using network metrics to investigate football team players' connections: A pilot study
title Using network metrics to investigate football team players' connections: A pilot study
spellingShingle Using network metrics to investigate football team players' connections: A pilot study
Clemente, Filipe M.
match analysis
football
network
metrics
performance
análise de jogo
futebol
network
métricas
rendimento
análisis del juego
fútbol
red
métricas
rendimiento
title_short Using network metrics to investigate football team players' connections: A pilot study
title_full Using network metrics to investigate football team players' connections: A pilot study
title_fullStr Using network metrics to investigate football team players' connections: A pilot study
title_full_unstemmed Using network metrics to investigate football team players' connections: A pilot study
title_sort Using network metrics to investigate football team players' connections: A pilot study
author Clemente, Filipe M.
author_facet Clemente, Filipe M.
Couceiro, Micael Santos
Martins, Fernando Manuel Lourenço
Mendes, Rui Sousa
author_role author
author2 Couceiro, Micael Santos
Martins, Fernando Manuel Lourenço
Mendes, Rui Sousa
author2_role author
author
author
dc.contributor.author.fl_str_mv Clemente, Filipe M.
Couceiro, Micael Santos
Martins, Fernando Manuel Lourenço
Mendes, Rui Sousa
dc.subject.por.fl_str_mv match analysis
football
network
metrics
performance
análise de jogo
futebol
network
métricas
rendimento
análisis del juego
fútbol
red
métricas
rendimiento
topic match analysis
football
network
metrics
performance
análise de jogo
futebol
network
métricas
rendimento
análisis del juego
fútbol
red
métricas
rendimiento
description The 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.
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 http://hdl.handle.net/10316/109510
http://hdl.handle.net/10316/109510
https://doi.org/10.1590/S1980-65742014000300004
url http://hdl.handle.net/10316/109510
https://doi.org/10.1590/S1980-65742014000300004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1980-6574
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Estadual Paulista (UNESP)
publisher.none.fl_str_mv Universidade Estadual Paulista (UNESP)
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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