Analysis and forecasting of the financial benefit for the tennis match outcomes by machine learning methods
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2025.3.07Keywords:
forecasting, machine learning, betting strategies, financial benefitAbstract
Tennis is one of the most popular sports in the world, attracting considerable attention from casual fans and professional analysts. The application of machine learning methods enables the accurate prediction of match results, opening up opportunities for profit through betting on likely winners. This study evaluates the financial benefits of predicting tennis match outcomes by identifying an effective sports betting strategy. The study examines various machine learning methods and auxiliary algorithms, comparing them to select the best betting strategy for maximizing the user’s potential profit. In the paper, the method and algorithm for determining effective sports betting strategies were developed. This algorithm and method were tested on tennis game datasets (for both women and men), and the best tennis betting strategy was identified. As part of the study, a software product has been developed to predict the outcomes of tennis matches.
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