Exploratory research about playing styles and performance patterns in football teams

Detalhes bibliográficos
Autor(a) principal: Ramos, Gonçalo Ribeiro
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149106
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRM
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spelling Exploratory research about playing styles and performance patterns in football teamsFootballSports AnalyticsMatch StatisticsEvent DataPerformance PatternsPlaying StylesDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRMThe sports industry has grown exponentially over the years and is becoming an increasingly attractive market due to high levels of investment. In this way, sports institutions seek to obtain a competitive advantage both outside and inside the playing field. One of the strategic approaches to obtain this competitive advantage is through the study of performance data collected from athletes and teams. In this study, through exploratory research, a performance analysis model is developed where the main objective is the identification of various styles of play and team-level performance patterns regarding technical aspects of the games across the Bundesliga during the 2020/2021 season. The analysis model consisted of unsupervised methods with the application of a Factor Analysis that allowed the characterization of teams in terms of playing styles and the identification of various performance patterns through the application of clustering algorithms.Santos, Vitor Manuel Pereira Duarte dos SantosBarroso, João António AraújoNeves, Catarina Paisana Pires Costa dasRUNRamos, Gonçalo Ribeiro2023-02-13T15:46:26Z2023-01-232023-01-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149106TID:203218817enginfo: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:RCAAP2024-03-11T05:30:51Zoai:run.unl.pt:10362/149106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:36.866172Repositório 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 Exploratory research about playing styles and performance patterns in football teams
title Exploratory research about playing styles and performance patterns in football teams
spellingShingle Exploratory research about playing styles and performance patterns in football teams
Ramos, Gonçalo Ribeiro
Football
Sports Analytics
Match Statistics
Event Data
Performance Patterns
Playing Styles
title_short Exploratory research about playing styles and performance patterns in football teams
title_full Exploratory research about playing styles and performance patterns in football teams
title_fullStr Exploratory research about playing styles and performance patterns in football teams
title_full_unstemmed Exploratory research about playing styles and performance patterns in football teams
title_sort Exploratory research about playing styles and performance patterns in football teams
author Ramos, Gonçalo Ribeiro
author_facet Ramos, Gonçalo Ribeiro
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos Santos
Barroso, João António Araújo
Neves, Catarina Paisana Pires Costa das
RUN
dc.contributor.author.fl_str_mv Ramos, Gonçalo Ribeiro
dc.subject.por.fl_str_mv Football
Sports Analytics
Match Statistics
Event Data
Performance Patterns
Playing Styles
topic Football
Sports Analytics
Match Statistics
Event Data
Performance Patterns
Playing Styles
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRM
publishDate 2023
dc.date.none.fl_str_mv 2023-02-13T15:46:26Z
2023-01-23
2023-01-23T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/149106
TID:203218817
url http://hdl.handle.net/10362/149106
identifier_str_mv TID:203218817
dc.language.iso.fl_str_mv eng
language eng
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.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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