EDGERATING
Methodology

Model Performance

A probability model is judged by calibration over samples, not by single-match hits. Every engine change must move these numbers on out-of-sample matches — or it gets cut.

2026-27 Season · Cumulative (pregame predictions, no hindsight)

Matches scored
80
Model log loss
1.0242
League-prior baseline
1.1004
Edge vs baseline
+0.0762
Brier score
0.6139
Modal picks correct
38/80

Lower log loss = better. Baseline = constant league base rates (home 45%, draw 24%, away 31%). Sample is still tiny (80 matches): treat every number here as noise until at least a half-season has accumulated.

Over 2.5 Calibration

Matches scored
80
Actual Over 2.5 rate
50.0%
Model avg Over 2.5
57.8%
Over 2.5 Brier
0.2493
Over 2.5 log loss
0.6922
Hits (3+ goals)
40/80

Pregame Over 2.5 probability (same number as on each match analysis page) vs whether the final score actually had 3+ goals.

Model said n Model avg Actual Over rate Δ
30–40% 1 39.3% 100.0% (1/1) +60.7 pp
40–50% 11 47.2% 27.3% (3/11) -20.0 pp
50–60% 43 56.0% 46.5% (20/43) -9.5 pp
60–70% 20 64.6% 60.0% (12/20) -4.6 pp
70–80% 5 73.2% 80.0% (4/5) +6.8 pp

Well-calibrated bands sit near Δ ≈ 0 (actual rate ≈ model average). Positive Δ = model under-called Over; negative = over-called.

Per Gameweek

GWMatchesModel log lossBaselineΔPicks
GW 1 10 0.9244 0.9359 +0.0115 6/10
GW 2 10 1.0007 1.1362 +0.1354 5/10
GW 3 10 1.1308 1.2502 +0.1194 3/10
GW 4 10 1.1818 1.2363 +0.0545 3/10
GW 5 10 1.0459 1.0360 -0.0099 4/10
GW 6 10 1.0268 1.0616 +0.0349 5/10
GW 7 10 0.7495 1.0104 +0.2609 8/10
GW 8 10 1.1335 1.1362 +0.0026 4/10

Engine Calibration Benchmark (10-season backtest)

Edge Rating engine (calibrated constants) 0.9729 n = 3040
League-prior baseline (floor) 1.0654
Pinnacle closing odds, de-margined (ceiling) 0.9494 model 0.9672 on same 2870

Constants (home advantage 1.2, update step 1.5, season carry 0.9, promoted prior 30.0) fitted on EPL 16/17–25/26, first 2 seasons burn-in, minimising out-of-sample 1X2 log loss. The engine clearly beats the naive prior and sits 0.018 behind the closing market — the expected picture for a goals-signal engine; the gap is the target for the xG upgrade.