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Machine Learning for Soccer Match Result Prediction
March 13, 2024, 4:42 a.m. | Rory Bunker, Calvin Yeung, Keisuke Fujii
cs.LG updates on arXiv.org arxiv.org
Abstract: Machine learning has become a common approach to predicting the outcomes of soccer matches, and the body of literature in this domain has grown substantially in the past decade and a half. This chapter discusses available datasets, the types of models and features, and ways of evaluating model performance in this application domain. The aim of this chapter is to give a broad overview of the current state and potential future developments in machine learning …
abstract arxiv become cs.lg datasets domain features literature machine machine learning match prediction soccer type types
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