Reading vs Luton
League One, England · 2026-08-15 · 13:30 CET
LLDWW
WDLWDThe score model made a Reading win the most likely outcome at 41%, split on goals (Over 2.5 at 54%). It finished 3:4 (HT 3:1) — the most likely outcome did not come in. Generated from the data — the market usually knows why it disagrees.
Scoreline probabilities
Priced from the same score distribution as every market below.
First goal · head-to-head
Full Market Baseline (Dixon-Coles)
One statistical model of the final score — every probability below derives from the same score distribution, so they can never contradict each other. Expected goals: Reading 1.48 – 1.35 Luton.
| Market | Data % | Implied | Divergence | Result |
|---|---|---|---|---|
| Reading win | 40.9% | 29.4% | +11.5% | ✗ |
| Draw | 24.2% | 27.6% | -3.4% | ✗ |
| Luton win | 34.9% | 43.0% | -8.1% | ✓ |
| Over 1.5 goals | 77.0% | — | — | ✓ |
| Over 2.5 goals | 53.8% | 50.5% | +3.3% | ✓ |
| Over 3.5 goals | 31.6% | 30.5% | +1.0% | ✓ |
| Both teams to score | 56.9% | 55.3% | +1.5% | ✓ |
| HT over 0.5 goals | 73.5% | — | — | ✓ |
| HT over 1.5 goals | 37.4% | 34.7% | +2.7% | ✓ |
Model dc_v2.0 · rating sample: Reading 52.5 / Luton 29.9 weighted matches · positive divergence means the data leans above the market — the market usually knows why.
How to read this page: probabilities are what this league's historical first-goal-time and scoring data alone imply — they know nothing about injuries, motivation or weather, and the market usually does. We publish every output, including when the data and the market agree. Statistics, not betting advice — never bet more than you can afford to lose.