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Optimising game tactics for football

Beal Ryan, Chalkiadakis Georgios, Norman Timothy J., Ramchurn Sarvapali D.

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URIhttp://purl.tuc.gr/dl/dias/833F3533-470E-451D-B850-1C380A396F74-
Identifierwww.ifaamas.org/proceedings.html-
Identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096654096&partnerID=40&md5=ce843458300f4b248f93e6827a5ad262-
Identifier978-145037518-4-
Languageen-
Extent9 pagesen
TitleOptimising game tactics for footballen
CreatorBeal Ryanen
CreatorChalkiadakis Georgiosen
CreatorΧαλκιαδακης Γεωργιοςel
CreatorNorman Timothy J.en
CreatorRamchurn Sarvapali D.en
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)en
Content SummaryIn this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer). We model the game of football as a multi-stage game which is made up from a Bayesian game to model the pre-match decisions and a stochastic game to model the in-match state transitions and decisions. Using this formulation, we propose a method to predict the probability of game outcomes and the payoffs of team actions. Building upon this, we develop algorithms to optimise team formation and ingame tactics with different objectives. Empirical evaluation of our approach on real-world datasets from 760 matches shows that by using optimised tactics from our Bayesian and stochastic games, we increase a team chances of winning by 16.1% and 3.4% respectively.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-07-26-
Date of Publication2020-
SubjectAutonomous agentsen
SubjectFootballen
SubjectGame theoryen
SubjectMulti agent systemsen
SubjectBayesian gameen
SubjectStochastic gameen
Bibliographic CitationR. Beal, G. Chalkiadakis, T. J. Norman, and S. D. Ramchurn, “Optimising game tactics for football,” In Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), vol 2020, B. An, N. Yorke-Smith, A. El Fallah Seghrouchni, G. Sukthankar, Eds., USA: IFAAMAS, 2020, pp. 141-149.en

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