An Approach to Tactical Performance Optimization in a Big Data World

Detalhes bibliográficos
Autor(a) principal: Folgado, Hugo
Data de Publicação: 2016
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/20316
Resumo: The amount of data collected from an individual player during a football match has increased significantly in recent years, following technological evolution in positional tracking. However, given the short time that separates competitions, the common analysis of these data focuses on the magnitude of actions of each player, while considering either technical or physical perform- ance. This focus leads to a considerable amount of information not being taken into account in performance optimization, particularly while considering a sequence of different matches of the same team. In this presentation, we will present a tactical performance indicator that considers players’ overall positioning and their level of coordination during the match. This performance indicator will be applied in different time scales, with a particular focus on possible practical applications.
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spelling An Approach to Tactical Performance Optimization in a Big Data WorldThe amount of data collected from an individual player during a football match has increased significantly in recent years, following technological evolution in positional tracking. However, given the short time that separates competitions, the common analysis of these data focuses on the magnitude of actions of each player, while considering either technical or physical perform- ance. This focus leads to a considerable amount of information not being taken into account in performance optimization, particularly while considering a sequence of different matches of the same team. In this presentation, we will present a tactical performance indicator that considers players’ overall positioning and their level of coordination during the match. This performance indicator will be applied in different time scales, with a particular focus on possible practical applications.2017-01-30T13:12:15Z2017-01-302016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/20316http://hdl.handle.net/10174/20316porFolgado, H. (2016). An Approach to Tactical Performance Optimization in a Big Data World. Research Quarterly for Exercise and Sport. Supplement 87S1: S60.simsimnaohfolgado@uevora.pt251Folgado, Hugoinfo: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:RCAAP2024-01-03T19:09:48Zoai:dspace.uevora.pt:10174/20316Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:39.142900Repositório 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 An Approach to Tactical Performance Optimization in a Big Data World
title An Approach to Tactical Performance Optimization in a Big Data World
spellingShingle An Approach to Tactical Performance Optimization in a Big Data World
Folgado, Hugo
title_short An Approach to Tactical Performance Optimization in a Big Data World
title_full An Approach to Tactical Performance Optimization in a Big Data World
title_fullStr An Approach to Tactical Performance Optimization in a Big Data World
title_full_unstemmed An Approach to Tactical Performance Optimization in a Big Data World
title_sort An Approach to Tactical Performance Optimization in a Big Data World
author Folgado, Hugo
author_facet Folgado, Hugo
author_role author
dc.contributor.author.fl_str_mv Folgado, Hugo
description The amount of data collected from an individual player during a football match has increased significantly in recent years, following technological evolution in positional tracking. However, given the short time that separates competitions, the common analysis of these data focuses on the magnitude of actions of each player, while considering either technical or physical perform- ance. This focus leads to a considerable amount of information not being taken into account in performance optimization, particularly while considering a sequence of different matches of the same team. In this presentation, we will present a tactical performance indicator that considers players’ overall positioning and their level of coordination during the match. This performance indicator will be applied in different time scales, with a particular focus on possible practical applications.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2017-01-30T13:12:15Z
2017-01-30
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/20316
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url http://hdl.handle.net/10174/20316
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv Folgado, H. (2016). An Approach to Tactical Performance Optimization in a Big Data World. Research Quarterly for Exercise and Sport. Supplement 87S1: S60.
sim
sim
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hfolgado@uevora.pt
251
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