Machine Learning for sport results prediction using algorithms

Authors

  • Said Lotfi Multidisciplinary Laboratory In Education Sciences and Training Engineering (LMSEIF). Sport Science Assessment and Physical Activity Didactic. Normal Superior School (ENS), Hassan II University of Casablanca, BP 50069, Ghandi, Morocco.
  • Mohamed rebbouj Multidisciplinary Laboratory In Education Sciences and Training Engineering (LMSEIF). Sport Science Assessment and Physical Activity Didactic. Normal Superior School (ENS), Hassan II University of Casablanca, BP 50069, Ghandi, Morocco

DOI:

https://doi.org/10.52502/ijitas.v3i3.114

Keywords:

Selected:Sport results prediction, Machine learning, Data Mining

Abstract

This paper describes the use of machine learning in sports. Given the recent trend in Data science and sport analytics, the use of Machine Learning and Data Mining as techniques in sport reveals the essential contribution of technology in results and performance prediction. The purpose of this paper is to benchmark existing analysis methods used in literature, to understand the prediction processes used to model Data collection and its analysis; and determine the characteristics of the variables controlling the performance. Finally, this paper will suggest the reliable tool for Data mining analysis technique using Machine Learning.

Published

2021-08-03

How to Cite

[1]
S. Lotfi and M. rebbouj, “Machine Learning for sport results prediction using algorithms”, IJITAS, vol. 3, no. 3, pp. 148-155, Aug. 2021.

Issue

Section

Articles