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closerbetsalpha

04 · Research

The model, scored against the market.

The desk doesn't sell picks. Every game, the model logs a home-win probability before first pitch; we score it against the outcome and against the no-vig sharp line. This is the honest scoreboard — it shows the model tracks the market closely and has no standalone edge. It's here for transparency, not as a bet signal.

[01]

Moneyline: model vs market

Brier scoremeasures probability accuracy — lower is better, and a model with a real edge would beat the market's Brier. Ours sits right on top of it. That's the point: the model is a market-grade read, not an oracle. Agreement is how often the model and the no-vig line favor the same side.

Window
Games
Model Brier
Market Brier
Agreement
Last 30 days
moneyline · acc 57%
331
0.245
0.245
87%
This season
moneyline · acc 56%
1141
0.246
0.245
87%
[02]

Calibration

When the model says 60%, does the home team win ~60% of the time? Each bar is a probability bucket (season to date): the marker is what the model predicted on average, the bar is what actually happened. Close alignment means the probabilities mean what they say.

27%
0% · n=1
38%
37% · n=46
46%
45% · n=423
55%
53% · n=584
63%
60% · n=201
72%
64% · n=14
left: model predicted · bar + right: actual home-win rate