Intelligent systems for analyzing soccer games : the weighted centroid

Detalhes bibliográficos
Autor(a) principal: Manuel Clemente, Filipe
Data de Publicação: 2014
Outros Autores: Couceiro, Micael, M. L. Martins, Fernando, Mendes, Rui, Figueiredo, António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/46705
Resumo: New, intelligent systems have been developed recently to improve the quality of match analysis. These systems analyze the tactical behavior of the teams. However, the existing methods leave room for improvement. Thus, the main goal of this study is to refine the team centroid metric by considering all of the players on the team and the ball position. Furthermore, this study analyzes the relationship between the centroids of the two opposing teams. One 11-on-11 soccer match was analyzed to test the new centroid algorithm. The results provided strong evidence of the positive relation between the centroids of the two teams over time in the x-axis (rs = 0.781) and the y-axis (rs = 0.0707). This study confirmed the results of previous studies that analyzed the relationship between team centroids. Furthermore, it was possible to prove the effectiveness of the new tactical metric and its relevance for adding information during a match.
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spelling Intelligent systems for analyzing soccer games : the weighted centroidSistemas inteligentes para el análisis de fútbol : centroide ponderadoMatch AnalysisSoccerTacticsCollective BehaviorCentroidanálisis del partido de fútboltácticacomportamiento colectivo y CentroideNew, intelligent systems have been developed recently to improve the quality of match analysis. These systems analyze the tactical behavior of the teams. However, the existing methods leave room for improvement. Thus, the main goal of this study is to refine the team centroid metric by considering all of the players on the team and the ball position. Furthermore, this study analyzes the relationship between the centroids of the two opposing teams. One 11-on-11 soccer match was analyzed to test the new centroid algorithm. The results provided strong evidence of the positive relation between the centroids of the two teams over time in the x-axis (rs = 0.781) and the y-axis (rs = 0.0707). This study confirmed the results of previous studies that analyzed the relationship between team centroids. Furthermore, it was possible to prove the effectiveness of the new tactical metric and its relevance for adding information during a match.Universidad Nacional de ColombiaRepositório ComumManuel Clemente, FilipeCouceiro, MicaelM. L. Martins, FernandoMendes, RuiFigueiredo, António2023-09-22T10:24:41Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46705enghttp://dx.doi.org/10.15446/ing.investig.v34n3.43602info: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:RCAAP2023-09-28T02:16:45Zoai:comum.rcaap.pt:10400.26/46705Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:31:32.915942Repositório 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 Intelligent systems for analyzing soccer games : the weighted centroid
Sistemas inteligentes para el análisis de fútbol : centroide ponderado
title Intelligent systems for analyzing soccer games : the weighted centroid
spellingShingle Intelligent systems for analyzing soccer games : the weighted centroid
Manuel Clemente, Filipe
Match Analysis
Soccer
Tactics
Collective Behavior
Centroid
análisis del partido de fútbol
táctica
comportamiento colectivo y Centroide
title_short Intelligent systems for analyzing soccer games : the weighted centroid
title_full Intelligent systems for analyzing soccer games : the weighted centroid
title_fullStr Intelligent systems for analyzing soccer games : the weighted centroid
title_full_unstemmed Intelligent systems for analyzing soccer games : the weighted centroid
title_sort Intelligent systems for analyzing soccer games : the weighted centroid
author Manuel Clemente, Filipe
author_facet Manuel Clemente, Filipe
Couceiro, Micael
M. L. Martins, Fernando
Mendes, Rui
Figueiredo, António
author_role author
author2 Couceiro, Micael
M. L. Martins, Fernando
Mendes, Rui
Figueiredo, António
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Manuel Clemente, Filipe
Couceiro, Micael
M. L. Martins, Fernando
Mendes, Rui
Figueiredo, António
dc.subject.por.fl_str_mv Match Analysis
Soccer
Tactics
Collective Behavior
Centroid
análisis del partido de fútbol
táctica
comportamiento colectivo y Centroide
topic Match Analysis
Soccer
Tactics
Collective Behavior
Centroid
análisis del partido de fútbol
táctica
comportamiento colectivo y Centroide
description New, intelligent systems have been developed recently to improve the quality of match analysis. These systems analyze the tactical behavior of the teams. However, the existing methods leave room for improvement. Thus, the main goal of this study is to refine the team centroid metric by considering all of the players on the team and the ball position. Furthermore, this study analyzes the relationship between the centroids of the two opposing teams. One 11-on-11 soccer match was analyzed to test the new centroid algorithm. The results provided strong evidence of the positive relation between the centroids of the two teams over time in the x-axis (rs = 0.781) and the y-axis (rs = 0.0707). This study confirmed the results of previous studies that analyzed the relationship between team centroids. Furthermore, it was possible to prove the effectiveness of the new tactical metric and its relevance for adding information during a match.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2023-09-22T10:24:41Z
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/10400.26/46705
url http://hdl.handle.net/10400.26/46705
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://dx.doi.org/10.15446/ing.investig.v34n3.43602
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 Universidad Nacional de Colombia
publisher.none.fl_str_mv Universidad Nacional de Colombia
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
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