Aanvi Kishore 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 | 6 | 101 | 104 | 20.2 | 97.1 | 8.7 | 50.0 | 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.
| Switzerland | T20 | 3 | 71 | 66 | 35.5 | 107.6 | 9.1 | 39.4 | 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.
| SSC Karlsruhe | T20 | 3 | 71 | 66 | 35.5 | 107.6 | 9.1 | 39.4 | LOW |
| GelsenTrabPark, Gelsenkirchen | T20 | 3 | 30 | 38 | 10.0 | 78.9 | 7.9 | 68.4 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 6 | 101 | 104 | 20.2 | 97.1 | 8.7 | 50.0 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 6 | 56 | 70 | 14.0 | 80.0 | 7.1 | 60.0 | LOW |
| middle | T20 | 2 | 45 | 34 | 45.0 | 132.4 | 11.8 | 29.4 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 5 | 86 | 78 | 43.0 | 110.3 | 10.3 | 44.9 | 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.