Odense vs Viborg
Superliga, Denmark · 2026-11-07 · 18:00 CET
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WWLLWThe score model makes a Viborg win the most likely outcome at 40%, with goals more likely than not (Over 2.5 at 58%). The data's biggest gap to the market: HT under 1.5 goals — 62.6% vs 58.3% implied (+4.3 pts). 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 + form & shots)
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: Odense 1.44 – 1.59 Viborg.
| Market | Data % | Implied | Divergence |
|---|---|---|---|
| Odense win | 33.5% | 35.6% | -2.2% |
| Draw | 26.7% | 25.5% | +1.2% |
| Viborg win | 39.8% | 38.9% | +1.0% |
| Over 1.5 goals | 81.7% | — | — |
| Over 2.5 goals | 58.2% | 60.6% | -2.3% |
| Over 3.5 goals | 35.8% | 40.1% | -4.2% |
| Both teams to score | 62.0% | 63.2% | -1.3% |
| HT over 0.5 goals | 72.8% | — | — |
| HT over 1.5 goals | 37.4% | 41.7% | -4.3% |
Model dc_ml_v1 · rating sample: Odense 32.8 / Viborg 38.3 weighted matches · positive divergence means the model sits above the market — descriptive, not a recommendation; the market usually knows why.
Open Odense vs Viborg in the interactive Dixon–Coles & Asian Handicap calculator →
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.