AFL Historical Win Rates 734 predictions

Model calibration — where the model's probability estimates can be trusted. Predicted vs actual win % across probability bands.
Favourites (shortest), blind
−20.4% ROI
40.9% win rate · n=154
Longshots $10+, blind
−26.4% ROI
3.9% win rate · n=459
Win % by market odds
Actual win rate for each price band across all 734 predictions.
Model calibration chart
Each dot = one predicted-probability band. On the dashed line, predicted = actual (perfect calibration). Above the line = model under-confident; below = over-confident.
Trust zone: ~10% to ~20% predicted win probability

The model is well-calibrated only between 10–20% predicted (gap ≤ ±1.5pp). Above 20% it is systematically over-confident — it says 35%, the team wins 25%. Below 10% it is mildly under-confident, but that's the longshot zone where market favourite–longshot bias dominates and any edge evaporates in variance.

The disciplined edge is on favourites and short second-favourites in the $2–3 zone — the only band where flat ROI approaches breakeven (−1.2%). Size with fractional Kelly and judge on closing-line value, not weekly results.

Win rate & flat ROI by market price band
Price band Runners Winners Win % Implied % Flat ROI
<$1.50 2718 66.7% 80.9% −19.2%
$1.50–1.99 4020 50.0% 58.0% −12.6%
$2.00–2.99 ★ 7631 40.8% 40.9% −1.2%
$3.00–4.49 13829 21.0% 28.1% −25.3%
$4.50–6.99 15022 14.7% 18.7% −22.4%
$7.00–9.99 13216 12.1% 12.5% −4.9%
$10–14 1479 6.1% 8.6% −28.6%
$15–24 1328 6.1% 5.4% +15.2%
$25–49 1050 0.0% 3.2% −100%
$50+ 751 1.3% 1.5% +8.0%
★ Only the $2–3 band approaches breakeven at flat stakes (−1.2% ROI). Every other band loses money blindly backed. The $15–24 and $50+ positive ROI figures come from tiny sample sizes (8 and 1 winner) and carry no statistical weight.

The takeaway: use the model to find value in the $2–3 zone where the calibration is honest, size with fractional Kelly, and grade every bet on closing-line value — not weekly results.