Sports Results Prediction Model Using Machine Learning

Alden Obradović, Dino Kečo

© 2024 Alden Obradović, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).

Citation Information: SAR Journal. Volume 7, Issue 3, Pages 184-189, ISSN 2619-9955, https://doi.org/10.18421/SAR73-03, September 2024.

Received: 27 March 2024.
Revised:   03 August 2024.
Accepted: 10 August 2024.
Published: 27 September 2024.

Abstract:

Within the past few decades, more and more people use Machine learning technology to predict sports performance. This paper aims to research the possibility of sports results prediction with good precision. Machine learning methods are often used to create model that will produce a representative output of the probable match result. This can assist coaches and managers in evaluating player performance, identifying skills, predicting injuries, and evaluating game strategy. Thanks to the good accuracy of the forecast, one of the constantly evolving areas is sports betting. Finally, considering the current research review, a framework is proposed to develop a system based on artificial intelligence to predict the outcome of a football match. This research provides information on how system learning algorithms have proven to be useful and how they can produce success. This research also reviews the research of data mining systems to predict athletic performance and evaluate the strengths and weaknesses of each system.

Keywords – machine learning, sport results, prediction.

                   

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