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Exploratory research about playing styles and performance patterns in football teams

dc.contributor.advisorSantos, Vítor Manuel Pereira Duarte dos
dc.contributor.advisorBarroso, João António Araújopt_PT
dc.contributor.advisorNeves, Catarina Paisana Pires Costa daspt_PT
dc.contributor.authorRamos, Gonçalo Ribeiro
dc.date.accessioned2023-02-13T15:46:26Z
dc.date.available2023-02-13T15:46:26Z
dc.date.issued2023-01-23
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRMpt_PT
dc.description.abstractThe 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.pt_PT
dc.identifier.tid203218817pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/149106
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFootballpt_PT
dc.subjectSports Analyticspt_PT
dc.subjectMatch Statisticspt_PT
dc.subjectEvent Datapt_PT
dc.subjectPerformance Patternspt_PT
dc.subjectPlaying Stylespt_PT
dc.titleExploratory research about playing styles and performance patterns in football teamspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Estatística e Gestão de Informação, especialização em Estudos de Mercado e Gestão de Relacionamento com o Clientept_PT

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