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undergraduate thesis
Profiliranje igrača na temelju in-play podataka teniskih mečeva
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:025140
Ćurić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ćurić, D. (2021). Profiliranje igrača na temelju in-play podataka teniskih mečeva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:025140

Ćurić, Dominik. "Profiliranje igrača na temelju in-play podataka teniskih mečeva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:025140

Ćurić, Dominik. "Profiliranje igrača na temelju in-play podataka teniskih mečeva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:025140

Ćurić, D. (2021). 'Profiliranje igrača na temelju in-play podataka teniskih mečeva', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:025140

Ćurić D. Profiliranje igrača na temelju in-play podataka teniskih mečeva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:025140

D. Ćurić, "Profiliranje igrača na temelju in-play podataka teniskih mečeva", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:025140

Metadata
TitleProfiliranje igrača na temelju in-play podataka teniskih mečeva
Title (english)Player Profiling Based on In-play Data of Tennis Matches
AuthorDominik Ćurić
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberLuka Humski (član povjerenstva)
Committee memberAna Šarčević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad na temelju povijesno dostupnih podataka vezanih uz teniske mečeve modelira profile igrača s karakteristikama koje se mogu koristiti prilikom prediktivnog modeliranja.Prvi dio rada predstavlja osnovna pravila tenisa, podzadinu prediktivnog modeliranja te statističku analizu podataka koja se koristi prilikom prikaza rezultata.U drugom dijelu rada prikazani su i analizirani rezultati karakteristika dobivenih prilikom izgradnje profila te predloženi modeli za prediktivno modeliranje. Modeli u obzir uzimaju vjerojatnosti osvajanja poena na vlastitom i protivničkom servisu, vjerojatnost osvajanja gamea, vjerojatnost osvajanja seta te vjerojatnost osvajanja meča. U zadnjem dijelu obrađena je tema zamaha koji je modeliran kao uvjetna vjerojatnost. Na temelju tako modeliranog zamaha te deskriptivne analize predloženi su dodatni parametri koji bi se uzimali u obzir prilikom predikcije teniskih mečeva.
Abstract (english)
This paper forms profiles of the players with characteristics that could be used for predictive modeling based on the data available throughout the history of the tennis matches. First part of the paper presents basic tennis rules, the background of the predictive modeling, data analysis process description and statistical analysis of the data used in result presenting. The second part shows results that were created by profile forming; and suggested models for predictive modeling. Models take in consideration the probabilities of winning the point in the opponent's or in own serve, the probability of winning the game, the probability of winning set and the probability of winning match. Topic of momentum is described in the last section. It's modeled as conditioned probability. Based on descriptive analysis of momentum modeled in that way, additional parameters that would be considered whilst predicting tennis matches are given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:025140
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 09:57:26