A Bayesian Mixture Model approach to expected possession values in rugby league

• Thomas Sawczuk ,

  Roles Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: t.sawczuk@leedsbeckett.ac.uk

  Affiliations School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom

  https://orcid.org/0000-0003-4243-132X

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• Anna Palczewska,

  Roles Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom

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• Ben Jones,

  Roles Supervision, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, England Performance Unit, The Rugby Football League, Leeds, United Kingdom, Premiership Rugby, London, United Kingdom, Division of Physiological Sciences and Health through Physical Activity, Lifestyle and Sport Research Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Brisbane, Australia

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• Jan Palczewski

  Roles Formal analysis, Methodology, Writing – original draft, Writing – review & editing

  Affiliation School of Mathematics, University of Leeds, Leeds, United Kingdom

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