Proposal of a predictive model for the attack in women’s football depending on the part of the match

  1. Maneiro, Rubén 2
  2. Losada, José Luís 4
  3. Ardá, Antonio 3
  4. Iván-Baragaño, Iyán 1
  1. 1 Faculty of Sports Sciences, European University of Madrid, Madrid, Spain
  2. 2 Department of Science of Physical Activity and Sport, Pontifical University of Salamanca, Salamanca, Spain
  3. 3 Department of Physical and Sport Education, University of A Coruña, A Coruña, Spain
  4. 4 Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain
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Revista:
Kinesiology

ISSN: 1848-638X,  1331-1441

Año de publicación: 2023

Volumen: 55

Número: 1

Páginas: 30-37

Tipo: Artículo

DOI: 10.26582/K.55.1.4 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Kinesiology

Objetivos de desarrollo sostenible

Resumen

Women’s football is currently a phenomenon in expansion, both in the number of practitioners andfederative records. Scientific research must be at the forefront of this growth, proposing solutions withempirical support that help improve performance not only during training but also during competition. Theobjective of this study was to propose a multivariate model based on the decision tree technique, with theaim of classifying and predicting the criteria that modulated the attack depending on the part of the match(first or second part). To do this, 6063 attacks from the two most recent world championships have beencollected and analysed. The available results indicate that, although more attacks occur during the firstpart, it is in the second part when the goals are scored. In addition, the presented model confirms that themost successful attacks (goal, shot or sending to the area) occur with the score winning or losing, and witha duration of less than 20 seconds. The results of this study can help female soccer coaches to improve thetraining process of offensive actions and attack.

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