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Score-based Soccer Match Outcome Modeling - an Experimental Review

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332397" target="_blank" >RIV/68407700:21230/19:00332397 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.dropbox.com/s/go42h87tah9adye/MathSport2019%20Proceedings.pdf?dl=0" target="_blank" >https://www.dropbox.com/s/go42h87tah9adye/MathSport2019%20Proceedings.pdf?dl=0</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Score-based Soccer Match Outcome Modeling - an Experimental Review

  • Original language description

    In this experimental work, we propose to investigate the state-of-the-art in score-basedsoccer match outcome prediction modeling to identify the top-performing methods acrossthe diverse classes of existing approaches to the problem. Namely, we bring together sta-tistical methods based on Poisson distribution, a general ranking algorithm (Elo), domain-specific rating system (pi-ratings) and a graph-based approach to the problem (PageRank).We experimentally compare these diverse competitors altogether on a large database ofsoccer results to identify the true leaders in the domain.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of Mathsport International Conference 2019

  • ISBN

    978-618-5036-53-9

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    164-172

  • Publisher name

    Athens University of Economics and Business

  • Place of publication

    Athens

  • Event location

    Athens

  • Event date

    Jul 1, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article