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BrowseMarket Convergence
Descriptive only — a measured pattern, no edge claimed.
Analytics module · as of

In MLB the model gets certain faster than the market -- and drifts further from it

By the 9th MLB checkpoint the model's forecast uncertainty has collapsed to 0.3656 bits while the market still sits at 0.7244, and their disagreement widens from 0.07 early to 0.2791 late.
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Market Convergence
Chart: Market Convergence -- By the 9th MLB checkpoint the model's forecast uncertainty has collapsed to 0.3656 bits while the market still sits at 0.7244, and their disagreement widens from 0.07 early to 0.2791 late.
scripts/platformkit/analytics_showcase/out/market_convergence.json

What it means

This outcome-free view tracks two things over game time: how far apart the forecasters sit (gap) and how much uncertainty each still carries (entropy, in bits). In MLB the model's uncertainty falls faster than the market's -- the model commits to an outcome while the market stays hedged -- and the gap between them grows through the game. In soccer they instead converge (gap shrinks by -0.0486) as entropy decays toward zero.

Caveats & confounds

This is a labeled STANDARD_INSTRUMENT with no outcomes attached; entropy decay late in a game is expected, so it describes behavior rather than scoring accuracy.

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