Machine Learning-Based Identification of the Strongest Predictive Variables of Winning and Losing in Belgian Professional Soccer

Machine Learning-Based Identification of the Strongest Predictive Variables of Winning and Losing in Belgian Professional Soccer

This study aimed to identify the strongest predictive variables of winning and losing in the highest Belgian soccer division. A predictive machine learning model based on a broad range of variables (n = 100) was constructed, using a dataset consisting of 576 games. To avoid multicollinearity and red...

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Bibliographic Details
Main Authors: Youri Geurkink, Jan Boone, Steven Verstockt, Jan G. Bourgois
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
association football
performance
performance analysis
KPI
game result
Online Access:https://www.mdpi.com/2076-3417/11/5/2378

Internet

https://www.mdpi.com/2076-3417/11/5/2378

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