Pitch control in football A machine learning approach for area allocation
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Kreveld, Marc van | |
dc.contributor.author | Knappers, Philippe | |
dc.date.accessioned | 2024-08-07T23:05:51Z | |
dc.date.available | 2024-08-07T23:05:51Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/47138 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Machine 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.title | Pitch control in football A machine learning approach for area allocation | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Applied Data Science | |
dc.thesis.id | 36201 |