Predviđanje doprinosa pojedinih igrača za vrijeme nogometne utakmice

undergraduate thesis

• Title (english): Predicting the contribution of individual players during a football match
• Author: Lucija Domić
• Mentor: Dario Bojanjac (mentor)
• Committee member: Dario Bojanjac (predsjednik povjerenstva)
• Committee member: Filip Turčinović (član povjerenstva)
• Committee member: Dubravko Tomić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Zbog svoje popularnosti, statistička analiza nogometne utakmice sve je popularnija kako među znanstvenicima tako i među nogometnim menadžerima koji nastoje pribaviti što kvalitetnije igrače u svoj klub. Do sada su napravljeni brojni modeli koji opisuju koje su najutjecajnije karakteristike nogometaša koje utječu na izlazne varijable kao što su igračeva zarada ili vjerojatnost ozljede. U ovom radu je provedena analiza najutjecajnijih varijabli na varijablu instat indeks koja je vrlo važna pri ocijeni performansa nogometnog igrača tijekom same nogometne utakmice. Cilj je analize pobliže objasniti samu varijablu instat indeks jer su algoritmi kojima se ona proizvodi tajni te nisu dostupni široj javnosti.

Abstract (english)

Due to its popularity, the statistical analysis of football matches is increasingly popular both among scientists and among football managers who try to get the best possible players for their club. So far, numerous models have been created that describe the most influential characteristics of soccer players that affect output variables such as the player's earnings or the probability of injury. In this paper, an analysis of the most influential variables was carried out on the instat index variable, which is very important when evaluating the performance of a football player during the football match itself. The goal of the analysis is to explain the instat index variable itself, because the algorithms used to produce it are secret and not available to the general public.

• Keywords: INSTAT INDEX; linearna regresija; model; značajke; izlazna varijanca; skupine igrača
• Keywords (english): INSTAT INDEX; linear regression; model; features; output variance; player groups
• Language: croatian
• URN:NBN: urn:nbn:hr:168:125452
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 08:43:52