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This article discusses the use of AI-based models and a comprehensive database to detect and eliminate match-fixing in sports. The database includes data on sports teams, match results, and betting odds, and the model is designed to identify anomalies in the odds patterns that may indicate match-fixing. The study utilizes data from a variety of sources, including historical databases and an API that collects data from multiple betting companies.
