The Beautiful (Computer) Game: How Data Science Will Revolutionize the World's Most Popular Sport

dc.contributorCaramanis, Constantine
dc.creatorTakvorian, Aristotelis
dc.date.accessioned2022-10-20T19:26:00Z
dc.date.available2022-10-20T19:26:00Z
dc.date.issued2021-12
dc.description.abstractData science is taking over sports, and soccer is no different. While having lagged behind other sports in the data revolution, soccer is beginning to put an emphasis on making data-driven decisions. This thesis addresses the ways in which professional soccer teams can begin to make use of advancing data acquisition technology to aid teams in preparation/strategy, in-game decisions, and scouting. First, the thesis provides an overview of how data science has been used in other sports. Next, the thesis investigates what professional soccer is currently doing and why they have lagged behind, followed by various proposals of data science models and techniques that could begin to be used in the game. Lastly, the thesis provides an example model of its own, used to predict player value based on personal performance statistics from the 2020-2021 season.en_US
dc.description.departmentElectrical and Computer Engineeringen_US
dc.identifier.urihttps://hdl.handle.net/2152/116332
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/43227
dc.language.isoengen_US
dc.relation.ispartofPlan II Honors Theses - Openly Availableen_US
dc.rights.restrictionOpenen_US
dc.subjectsports analyticsen_US
dc.subjectsportsen_US
dc.subjectdata scienceen_US
dc.subjectmachine learningen_US
dc.subjectcomputer visionen_US
dc.subjectanalyticsen_US
dc.subjectengineeringen_US
dc.titleThe Beautiful (Computer) Game: How Data Science Will Revolutionize the World's Most Popular Sporten_US
dc.typeThesisen_US

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