| Rank | Team | M | W | L | NRR | Pts |
|---|---|---|---|---|---|---|
| 1 |
South Africa
|
2 | 2 | 0 | +2.890 | 4 |
| 2 |
West Indies
|
2 | 1 | 1 | +1.791 | 2 |
| 3 |
India
|
2 | 1 | 1 | -0.100 | 2 |
| 4 |
Zimbabwe
|
2 | 0 | 2 | -4.475 | 0 |
| Rank | Team | M | W | L | NRR | Pts |
|---|---|---|---|---|---|---|
| 1 |
England
|
2 | 2 | 0 | +1.491 | 4 |
| 2 |
New Zealand
|
2 | 1 | 0 | +3.050 | 3 |
| 3 |
Pakistan
|
2 | 0 | 1 | -0.461 | 1 |
| 4 |
Sri Lanka
|
2 | 0 | 2 | -2.800 | 0 |
South Africa → 88%
India → 50%
West Indies → 50%
Zimbabwe → 3%
England → 83%
New Zealand → 80%
Pakistan → 22%
Sri Lanka → 10%
India vs
West Indies = Virtual Knockout.
• India win → Likely qualification.
• West Indies win → India elimination risk.
England vs
New Zealand likely decides top
spot.
1. Remaining Match Simulation
All remaining match outcomes are calculated (2 × 2 = 4 scenarios).
2. Win Probability Weighting
Each match is weighted using current form, NRR and points table.
3. Scenario Aggregation
Qualification probability = Sum of all scenarios where a team qualifies.
Example (India):
(SA win × IND win) + (ZIM win × IND win) = 50%
This is not guesswork. It is weighted scenario modeling.
England
52%
Pakistan
58%
South Africa
78%
India
54%
South Africa
56%
India
51%
South Africa
53%
South Africa
England
South Africa
India
India
New Zealand
CricketSim provides advanced match win probability predictions for ICC Men's T20 World Cup 2026. Our simulation engine evaluates team form, net run rate impact, head-to-head history and tournament scenarios to generate semi-final forecasts and final projections.
Track live Super Eights qualification scenarios, projected semi-final matchups and championship probabilities using our AI-based cricket simulation model.