Machine learning football predictions evolved from a single question: can a statistical model beat a bookmaker's probability estimate consistently enough to generate profit? The answer, in the right odds range, is yes — but the path from basic Poisson distribution to deep neural network ensemble is neither linear nor obvious. Understanding the evolutionary split between frequentist and neural approaches is the prerequisite for using any AI football prediction model intelligently.
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