Inter Kashi vs SC Delhi
ISL, India · 2026-11-07 · 12:30 CET
LLDLL
LLLDWThe score model makes an SC Delhi win the most likely outcome at 41%, split on goals (Over 2.5 at 48%). The data's biggest gap to the market: Both teams to score — 54.8% vs 51.7% implied (+3.2 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: Inter Kashi 1.16 – 1.44 SC Delhi.
| Market | Data % | Implied | Divergence |
|---|---|---|---|
| Inter Kashi win | 28.0% | 25.4% | +2.6% |
| Draw | 31.1% | 29.6% | +1.5% |
| SC Delhi win | 40.9% | 45.0% | -4.1% |
| Over 1.5 goals | 75.7% | — | — |
| Over 2.5 goals | 48.1% | 46.8% | +1.2% |
| Over 3.5 goals | 26.3% | 27.6% | -1.3% |
| Both teams to score | 54.8% | 51.7% | +3.2% |
| HT over 0.5 goals | 67.1% | — | — |
| HT over 1.5 goals | 30.5% | 32.4% | -1.9% |
Model dc_ml_v1 · rating sample: Inter Kashi 12.6 / SC Delhi 12.7 weighted matches · positive divergence means the model sits above the market — descriptive, not a recommendation; the market usually knows why.
Open Inter Kashi vs SC Delhi 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.
