Suwon Bluewings vs Gyeongnam
K League 2, South-Korea · 2026-11-21 · 06:00 CET
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LDLWLThe score model makes a Suwon Bluewings win the most likely outcome at 67%, with goals more likely than not (Over 2.5 at 57%). No market here diverges from the data by more than 2 points. 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: Suwon Bluewings 2.14 – 0.84 Gyeongnam.
| Market | Data % | Implied | Divergence |
|---|---|---|---|
| Suwon Bluewings win | 67.0% | 67.3% | -0.3% |
| Draw | 19.7% | 18.9% | +0.7% |
| Gyeongnam win | 13.3% | 13.7% | -0.4% |
| Over 1.5 goals | 80.0% | — | — |
| Over 2.5 goals | 57.2% | 57.6% | -0.4% |
| Over 3.5 goals | 34.8% | 36.6% | -1.7% |
| Both teams to score | 50.4% | 48.9% | +1.5% |
| HT over 0.5 goals | 72.9% | — | — |
| HT over 1.5 goals | 37.5% | 38.5% | -1.0% |
Model dc_ml_v1 · rating sample: Suwon Bluewings 46.8 / Gyeongnam 49.5 weighted matches · positive divergence means the model sits above the market — descriptive, not a recommendation; the market usually knows why.
Open Suwon Bluewings vs Gyeongnam 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.