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Calibration

When the model says 30%, does it happen 30% of the time?

Accuracy on its own is a poor test — always backing the favourite scores well and tells you nothing about what a 30% call is worth. The question that matters is whether the numbers mean what they say. Every point below is a band of claimed probability plotted against how often those calls actually landed, out of sample. On the diagonal is right.
Picks evaluated
95,636
Claimed
36.6%
Landed
36.5%
Mean error
0.39pp
0% 0% 20% 20% 40% 40% 60% 60% 80% 80% 100% 100% claimed 2.4% · landed 2.8% · 10,846 picks claimed 7.4% · landed 7.0% · 9,063 picks claimed 12.1% · landed 12.0% · 6,933 picks claimed 17.8% · landed 17.6% · 7,557 picks claimed 22.6% · landed 22.8% · 7,057 picks claimed 27.2% · landed 27.7% · 5,314 picks claimed 32.5% · landed 32.1% · 5,189 picks claimed 37.5% · landed 38.3% · 4,283 picks claimed 42.6% · landed 42.2% · 4,079 picks claimed 47.6% · landed 47.4% · 5,362 picks claimed 52.2% · landed 52.3% · 4,759 picks claimed 57.6% · landed 57.6% · 3,711 picks claimed 62.5% · landed 62.4% · 3,476 picks claimed 67.5% · landed 66.1% · 2,813 picks claimed 72.4% · landed 72.3% · 3,389 picks claimed 77.6% · landed 76.6% · 3,169 picks claimed 82.2% · landed 82.9% · 3,095 picks claimed 87.8% · landed 87.0% · 2,311 picks claimed 92.6% · landed 92.9% · 1,857 picks claimed 97.0% · landed 95.8% · 1,373 picks claimed probability how often it happened

Marker size is how many picks sit in that band. The straight line is perfect calibration; above it the model is too cautious, below it too confident.

Band by band

ClaimedPicksSaid LandedDifference
0.00-0.05 10,846 2.4% 2.8% +0.4pp
0.05-0.10 9,063 7.4% 7.0% -0.4pp
0.10-0.15 6,933 12.1% 12.0% -0.1pp
0.15-0.20 7,557 17.8% 17.6% -0.2pp
0.20-0.25 7,057 22.6% 22.8% +0.2pp
0.25-0.30 5,314 27.2% 27.7% +0.5pp
0.30-0.35 5,189 32.5% 32.1% -0.4pp
0.35-0.40 4,283 37.5% 38.3% +0.8pp
0.40-0.45 4,079 42.6% 42.2% -0.3pp
0.45-0.50 5,362 47.6% 47.4% -0.3pp
0.50-0.55 4,759 52.2% 52.3% +0.1pp
0.55-0.60 3,711 57.6% 57.6% -0.1pp
0.60-0.65 3,476 62.5% 62.4% -0.1pp
0.65-0.70 2,813 67.5% 66.1% -1.4pp
0.70-0.75 3,389 72.4% 72.3% -0.2pp
0.75-0.80 3,169 77.6% 76.6% -1.0pp
0.80-0.85 3,095 82.2% 82.9% +0.7pp
0.85-0.90 2,311 87.8% 87.0% -0.8pp
0.90-0.95 1,857 92.6% 92.9% +0.3pp
0.95-1.00 1,373 97.0% 95.8% -1.2pp

Evaluated out of sample: each prediction was made by a model fitted only on matches before it, so nothing here saw its own answer. The sealed record of live picks is the forward-looking counterpart to this.

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Calibration

What this page is for

A single question: when the model says something has a 30% chance, does it happen about three times in ten? Predictions are grouped into bands and each band is compared with its own observed hit rate.

How to read the bands

Close to the line is well calibrated. Consistently above it means the model is underconfident, consistently below it means overconfident — and overconfidence is the expensive direction, because it makes weak selections look strong on the radar.

The distinction that matters

Calibration is not accuracy. A model that says 50% about every match is perfectly calibrated and completely useless; a model that is often right can still be badly calibrated and unusable for pricing. You want both, and they are measured on different pages: sharpness on Model, honesty here.

Things to watch

Thin bands wobble. A band holding twenty predictions can miss its line by a long way through luck alone, so read the count beside each one before believing the gap.

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