Knowledge base

Prediction analytics without myths

Formulas, methodology and model limitations, with clear examples and links to public results.

What is a value prediction

How to compare model probability with the market and why a correct prediction is not always value.

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EV in sports predictions

The expected value formula, a calculation example and the metric's limitations.

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Kelly criterion and bankroll management

How Kelly connects probability, odds and an appropriate position size.

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How to evaluate ROI and drawdown

Why hit rate alone is insufficient and which long-run metrics matter.

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Why every sport needs its own ML model

Which data changes from sport to sport and why one prediction logic cannot be applied to every discipline.

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