AI value betting strategy combines the mathematical rigour of expected value theory with the pattern-recognition power of machine learning. Traditional value betting requires a human to manually estimate the true probability of each outcome and compare it to bookmaker implied probability — a process limited by time, cognitive bias, and data availability. AI automates this process: the model estimates true probability from historical data, the algorithm compares it to the market, and only picks where the gap is positive and confirmed are published. The strategy is the same; the execution is sys
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