Prediction Accuracy

Track Record

How our model performs against real match outcomes and market prices.

643

Total Predictions

all markets

610

Resolved

33 pending

72.1%

Win Rate

440/610 correct

0.196

Brier Score

Good

Avg CLV

needs data

Calibration

When we predict X% probability, how often does it actually happen? Perfect calibration = predicted matches actual.

010%
no data
1020%
no data
2030%
0% (n=187)
3040%
58% (n=98)
4050%
43% (n=187)
5060%
77% (n=138)
6070%
no data
7080%
no data
8090%
no data
90100%
no data
PredictedActual

Accuracy by Market

Match Winner
71.0% (260/366)
Over/Under 2.5
73.8% (180/244)

Best Calls

Predictions where we found real edge vs the market — and were right.

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Mexico vs England

Over 2.5 (Over/Under 2.5)

Model 55.9% vs Market 39.4%

+16.4pp

Worst Misses

High-confidence predictions that didn't come through.

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Brazil vs Norway

Norway Win (Match Winner)

Predicted 32.1%MISS

Past performance does not guarantee future accuracy. All probabilities are model estimates.