Player skill estimation for soccer match prediction

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Player skill estimation for soccer match prediction
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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