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Optimising a Probabilistic Model of the Development of Play in Soccer
Authors:J. Castellano-Paulis  A. Hernández-Mendo  Verónica Morales-Sánchez  M. T. Anguera-Argilaga
Affiliation:(1) IVEF – Instituto Vasco de Educación Física, Universidad del País Vasco, Vitoria, Spain;(2) Universidad de Málaga, Málaga, Spain;(3) Universidad de Barcelona, Barcelona, Spain;(4) Facultad de Ciencias de la Actividad Física y el Deporte, Carretera de Lasarte, s/n, 01007 Vitoria, Spain
Abstract:We present a probabilistic model based on the one developed by Hernández Mendo and Anguera (Revista de Psicologíca Social, 16(1), 71–93, 2001). Here we have tried to break down the interaction contexts that the opposing teams are able to generate and transform during the game. We are aware that a given player or team does not produce consistent behaviour in similar situations. However, a degree of uncertainty is assumed to exist regarding whether the results obtained are a specific function of the analysis used. In order to carry out this research a category system which optimized that used in the previous model was developed. This system should enable the interaction between teams to be observed within the actual play of a soccer game. A lag sequential analysis was performed on the basis of a coding of the behavioural flow. After describing the behavioural patterns obtained a probabilistic model of the development of play in soccer is proposed.
Keywords:behavioural patterns  interaction context   lag-log design  lag sequential analysis  Probabilistic model  soccer game
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