Selection of success indicators in elite handball through decision trees / Performance Indicator Selection Through Decision Trees in Elite Handball

Authors

  • Cabrera Quercini, I.; González-Ramírez, A. Profesor titular. Instituto Universitario Asociación Cristiana de Jóvenes (Uruguay).
  • García Tormo, J.V Profesor contratado doctor. Departamento de Educación Física y Deportiva. Universidad de León (España).
  • Martínez, I. Profesor Titular. Departamento de Educación Física y Deportiva. Universidad de León (España).

Keywords:

handball, performance analysis, prediction, artificial intelligence, decision trees, performance indicators.

Abstract

The aim was to analyze the performance indicators in the European Men's Handball Championship using decision trees as artificial intelligence models. The observational methodology was used. The sample was composed of 87 matches from the 2016 and 2018 Men's European Handball National Championships. As the most important result, the model identified three relevant variables to achieve high precision to predict handball results. In conclusion, the use of these models allow to greatly reduce the complexity in the analysis of the performance indicators in handball.

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Published

2022-02-02

Issue

Vol. 22 No. 88 (2022): Vol. 22, No. 88, December / December 2022

Section

Articles