Intelligent systems for analyzing soccer games: The weighted centroid
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/10316/109453 https://doi.org/10.15446/ing.investig.v34n3.43602 |
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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Intelligent systems for analyzing soccer games: The weighted centroidMatch AnalysisSoccerTacticsCollective BehaviorCentroidanálisis del partido de fútboltáctica,comportamiento 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.Nuevos sistemas inteligentes se han desarrollado recientemente, con el fin de mejorar la calidad de análisis del partido. Estos sistemas basan su análisis en el comportamiento táctico de los equipos, sin embargo, todos los métodos innovadores necesitan algunos cambios para aumentar su potencial en las implicaciones prácticas. Por lo tanto, el objetivo principal de este trabajo es proponer una actualización del centroide y métrica del equipo, teniendo en cuenta a todos los jugadores del equipo y también la posición de la bola, además, tiene como objetivo analizar la relación entre los centroides de los equipos oponentes. Un partido de fútbol 11, fue analizado con el fin de aplicar el nuevo algoritmo del centroide; los principales resultados mostraron una fuerte evidencia de la relación positiva entre centroides en el eje x ( = 0.781) y el eje y ( = 0.707). Este estudio, confirma trabajos previos que analizaron la relación positiva y fuerte entre equipos centroides. Además, fue posible demostrar la pertinencia de la nueva actualización de métrica táctica y su importancia para el aumento de la información en las aplicaciones prácticas durante el partido.Universidad Nacional de Colombia2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/109453http://hdl.handle.net/10316/109453https://doi.org/10.15446/ing.investig.v34n3.43602eng2248-87230120-5609Clemente, Filipe M.Couceiro, Micael SantosMartins, Fernando LourençoMendes, Rui SousaFigueiredo, António Joséinfo: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:RCAAP2023-10-16T10:19:03Zoai:estudogeral.uc.pt:10316/109453Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:38.856633Repositório 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 |
title |
Intelligent systems for analyzing soccer games: The weighted centroid |
spellingShingle |
Intelligent systems for analyzing soccer games: The weighted centroid Clemente, Filipe M. 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 |
Clemente, Filipe M. |
author_facet |
Clemente, Filipe M. Couceiro, Micael Santos Martins, Fernando Lourenço Mendes, Rui Sousa Figueiredo, António José |
author_role |
author |
author2 |
Couceiro, Micael Santos Martins, Fernando Lourenço Mendes, Rui Sousa Figueiredo, António José |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Clemente, Filipe M. Couceiro, Micael Santos Martins, Fernando Lourenço Mendes, Rui Sousa Figueiredo, António José |
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 |
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/10316/109453 http://hdl.handle.net/10316/109453 https://doi.org/10.15446/ing.investig.v34n3.43602 |
url |
http://hdl.handle.net/10316/109453 https://doi.org/10.15446/ing.investig.v34n3.43602 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2248-8723 0120-5609 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
repository.mail.fl_str_mv |
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1799134138752565248 |