N Kakor betting stats, splits & projections
Every figure below is counted from stored ball-by-ball deliveries — no estimates, no averages copied from elsewhere. Splits with fewer balls behind them are marked LOW sample and carry less weight in the model.
Record by format
Formats are never pooled: a twenty-over record tells you nothing about fifty-over scoring, so they are modelled and shown separately.
| overall | T20 | 4 | 9 | 11 | 9.0 | 81.8 | 9.1 | 45.5 | LOW |
| overall | T20 | 132 | 151 | 5 | 6.9 | 30.2 | LOW |
Against each opponent
Head-to-head record by format. Small head-to-head samples move the model very little — read the sample column before leaning on a line here.
Bowling
| Italy | T20 | 42 | 41 | 1 | 5.9 | 41.0 | LOW |
| United States of America | T20 | 36 | 39 | 2 | 6.5 | 19.5 | LOW |
By venue
Ground-by-ground record. Venue effects are real but slow to prove, so grounds with few balls are shown for transparency rather than used as evidence.
Bowling
| Gahanga International Cricket Stadium. Rwanda | T20 | 78 | 91 | 2 | 7.0 | 45.5 | LOW |
| Gahanga B Ground, Rwanda | T20 | 36 | 42 | 2 | 7.0 | 21.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
Bowling
| Unknown | T20 | 132 | 151 | 5 | 6.9 | 30.2 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
Bowling
| middle | T20 | 96 | 87 | 4 | 5.4 | 21.8 | LOW |
How these splits are used
The same aggregates feed the ball-by-ball simulation behind every projection: format baselines, phase scoring rates, the bowling types a batter will face and the expected attack. See the current match projections on the cricket betting hub and the model's tested record on the cricket model performance page.