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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKreveld, Marc van
dc.contributor.authorKnappers, Philippe
dc.date.accessioned2024-08-07T23:05:51Z
dc.date.available2024-08-07T23:05:51Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47138
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectMachine learning methods for pitch control are investigated. The accuracy is assessed and it is assessed whether the models maintain intrepretability during the visualisation of pitch control.
dc.titlePitch control in football A machine learning approach for area allocation
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id36201


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