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What is Domain-Driven Identification of Football Probabilities about?

This paper presents a novel domain-driven approach for estimating true probabilities of football match outcomes from betting odds, addressing the challenges posed by bookmaker margins and market biases. The proposed method integrates data from multiple betting markets, resulting in more accurate and consistent probability estimates, outperforming existing methods in terms of log-loss and expected profit convergence. The study utilizes a large dataset of over 359,000 matches to validate the effectiveness of

Author

lmmaster1028

Language

EN