Player skill estimation for soccer match prediction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00338691" target="_blank" >RIV/68407700:21240/19:00338691 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1504/IJAPR.2019.104292" target="_blank" >https://doi.org/10.1504/IJAPR.2019.104292</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJAPR.2019.104292" target="_blank" >10.1504/IJAPR.2019.104292</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Player skill estimation for soccer match prediction

Popis výsledku v původním jazyce

In this paper we propose two algorithms for assessing skill of soccer players. We introduce an adaptation of the Elo rating algorithm, which is widely used in chess, to handle teams. A different approach is proposed to assess player skill as a function of the proportion of matches won. Since it is hard to measure skill directly, to estimate the performance of our approach we propose as a proxy the number of correctly predicted match outcomes of a classifier that takes as input our algorithms' output. Numerical experiments suggest that our approach is competitive with book-keeper's estimates, even though we rely only on historical game outcome data.

Název v anglickém jazyce

Player skill estimation for soccer match prediction

Popis výsledku anglicky

In this paper we propose two algorithms for assessing skill of soccer players. We introduce an adaptation of the Elo rating algorithm, which is widely used in chess, to handle teams. A different approach is proposed to assess player skill as a function of the proportion of matches won. Since it is hard to measure skill directly, to estimate the performance of our approach we propose as a proxy the number of correctly predicted match outcomes of a classifier that takes as input our algorithms' output. Numerical experiments suggest that our approach is competitive with book-keeper's estimates, even though we rely only on historical game outcome data.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

INTERNATIONAL JOURNAL OF APPLIED PATTERN RECOGNITION

ISSN

2049-887X

e-ISSN

2049-8888

Svazek periodika

6

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

6

Strana od-do

52-57

Kód UT WoS článku

000505541900005

EID výsledku v databázi Scopus

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