Machine learning and the NBA Game.

Autor: GEORGIEVSKI, BOJAN, VRTAGIC, SABAHUDIN
Zdroj: Journal of Physical Education & Sport; Dec2021, Vol. 21 Issue 6, p3339-3343, 5p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index