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Machine Learning in Tennis

  • Fernando Vives,
  • Javier Lázaro,
  • José Francisco Guzmán,
  • Miguel Crespo,
  • Rafael Martínez-Gallego

摘要

The analysis of sporting performance, particularly in tennis, has been studied for several decades. The use of new technologies and tracking systems, such as Hawk-Eye, has advanced research in this field. A review of scientific articles shows the recent evolution of Machine Learning (ML) techniques and their potential impact on tennis. Finally, a practical example of a predictive model is presented to demonstrate the process and results of this study.