Machine learning and the NBA Game

Authors

  • Bojan Georgievski Author
  • Sabahudin Vrtagic College of Engineering and Technology, American University of the Middle East, KUWAIT; Wittenborg University of Applied Sciences, Apeldorn, NETHERLANDS Author

DOI:

https://doi.org/10.7752/jpes.2021.06453

Keywords:

- Modelling or simulation performance drop coefficients, back propagation, NBA basketball, offensive and defensive data simulation

Abstract

The purpose of this research was to analyse changes in performance through data simulation. Machine learning has been a popular tool for prediction in the NBA. What we wanted to see how a change in performance is affected in actual points. When a club improves its game, or when a club underperforms what that means as points. Through a points-prediction simulation, we analysed how a change in performance of 1–3% will affect the top five–performing and worst performing clubs.

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Published

2021-12-30

Issue

Vol. 21 No. 6 (2021): JOURNAL OF PHYSICAL EDUCATION AND SPORT

Section

Original Article

License

Copyright (c) 2021 Journal of Physical Education and Sport

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.

How to Cite

Machine learning and the NBA Game. (2021). Journal of Physical Education and Sport, 21(6), 3339-3343. https://doi.org/10.7752/jpes.2021.06453