PROPOSAL OF A PREDICTIVE MODEL FOR THE ATTACK IN WOMEN’S FOOTBALL DEPENDING ON THE PART OF THE MATCH

Authors

  • Ruben Maneiro Department of Science of Physical Activity and Sport, Pontifical University of Salamanca, Salamanca, Spain
  • José Luís Losada Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain
  • Antonio Ardá Department of Physical and Sport Education, University of A Coruña, A Coruña, Spain
  • Iyán Iván-Baragaño Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain

Abstract

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

Key words: female soccer, performance analysis, decision tree, offensive phase

Author Biographies

Ruben Maneiro, Department of Science of Physical Activity and Sport, Pontifical University of Salamanca, Salamanca, Spain

 

 

José Luís Losada, Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain

 

 

Antonio Ardá, Department of Physical and Sport Education, University of A Coruña, A Coruña, Spain

 

 

Iyán Iván-Baragaño, Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain

 

 

Downloads

Published

2023-06-30

How to Cite

Maneiro, R., Losada, J. L., Ardá, A., & Iván-Baragaño, I. (2023). PROPOSAL OF A PREDICTIVE MODEL FOR THE ATTACK IN WOMEN’S FOOTBALL DEPENDING ON THE PART OF THE MATCH. Kinesiology, 55(1), 30–37. Retrieved from https://hrcak.srce.hr/ojs/index.php/kinesiology/article/view/22173

Issue

Vol. 55 No. 1 (2023)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

At Faculty of Kinesiology we recognize that access to quality research is vital to the scientific community and beyond. Kinesiology is non-profit journal and all costs of publishing and peer review process are covered by the publisher itself or other funding sources like Ministry of Science and Education of the Republic of Croatia.   Full text papers are also available free of charge at http://hrcak.srce.hr/kineziologija. There are no restrictions on self archiving of any form of paper (preprint, postprint and publisher's version). 

Articles are distributed under the terms of the CC BY - NC 4.0

Kinesiology does not charge any fees to authors to submit or publish articles in our journal.