Yayınlar
Yapay zekâ ajanları, geriye dönük testler, piyasa tahminlerinin denetimi ve platformun mimarisi üzerine araştırmalar.
Spor
Can an AI model actually beat the bookmakers and betting exchanges? Here is what the vig, the closing line, and market efficiency really mean for machine forecasting — and what a genuine edge would require.
4 dk okuma5 bölüm
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Expected goals (xG) explained in plain English: what the number really measures, why xG isn't goals in one match, and how it feeds forecasting models.
6 dk okuma7 bölüm
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How to run thousands of simulated tournaments to turn a single-match model into honest win probabilities — sampling, convergence, and confidence intervals.
6 dk okuma7 bölüm
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How a double Poisson model turns attack and defence strength into expected goals, a scoreline matrix, and clean home, draw and away win probabilities.
6 dk okuma6 bölüm
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Two forecasts for the same match rarely agree — and the disagreement is the most useful thing on the screen. How to read an AI model against a prediction market.
4 dk okuma5 bölüm
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AI keeps promising to beat sports betting markets. What a betting exchange really is, the one man who genuinely beat the odds, why the math is brutal — and what AI actually changes.
6 dk okuma8 bölüm
Spor
How do AI models predict the 2026 FIFA World Cup? A clear breakdown of methodology, probability distributions, and the transparency gap in AI forecasting systems.
1 dk okuma2 bölüm
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Discover how prediction markets aggregate dispersed knowledge around the World Cup — and the three statistical limits that make them imperfect.
7 dk okuma6 bölüm
Spor
AI estimates probabilities, not winners. Discover why the 48-team World Cup, injuries, and model disagreement make any forecast humbling.
7 dk okuma7 bölüm
