A Zimunu betting stats, splits & projections
Bowler
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 | 8 | 83 | 108 | 13.8 | 76.9 | 8.3 | 53.7 | LOW |
| overall | ODI | 2 | 28 | 34 | 28.0 | 82.4 | 2.9 | 44.1 | LOW |
| overall | T20 | 216 | 289 | 4 | 8.0 | 72.3 | MEDIUM |
| overall | ODI | 121 | 97 | 4 | 4.8 | 24.3 | LOW |
Current projections
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.
| Pakistan | T20 | 3 | 48 | 69 | 16.0 | 69.6 | 7.2 | 56.5 | LOW |
| United States of America | ODI | 2 | 28 | 34 | 28.0 | 82.4 | 2.9 | 44.1 | LOW |
| New Zealand | T20 | 2 | 26 | 31 | 13.0 | 83.9 | 12.9 | 54.8 | LOW |
Bowling
| United States of America | ODI | 121 | 97 | 4 | 4.8 | 24.3 | LOW |
| Pakistan | T20 | 54 | 98 | 0 | 10.9 | — | LOW |
| United States of America | T20 | 54 | 48 | 2 | 5.3 | 24.0 | 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.
| National Stadium, Karachi | T20 | 3 | 48 | 69 | 16.0 | 69.6 | 7.2 | 56.5 | LOW |
| Seddon Park, Hamilton | T20 | 2 | 26 | 31 | 13.0 | 83.9 | 12.9 | 54.8 | LOW |
Bowling
| Grand Prairie Stadium, Dallas | ODI | 66 | 36 | 2 | 3.3 | 18.0 | LOW |
| Harare Sports Club | ODI | 55 | 61 | 2 | 6.7 | 30.5 | LOW |
| Grand Prairie Stadium, Dallas | T20 | 54 | 48 | 2 | 5.3 | 24.0 | LOW |
| National Stadium, Karachi | T20 | 54 | 98 | 0 | 10.9 | — | LOW |
| Mulpani Cricket Ground | T20 | 36 | 36 | 2 | 6.0 | 18.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 8 | 83 | 108 | 13.8 | 76.9 | 8.3 | 53.7 | LOW |
Bowling
| Unknown | T20 | 216 | 289 | 4 | 8.0 | 72.3 | MEDIUM |
| Unknown | ODI | 66 | 36 | 2 | 3.3 | 18.0 | LOW |
| Zimbabwe | ODI | 55 | 61 | 2 | 6.7 | 30.5 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 5 | 52 | 80 | 17.3 | 65.0 | 7.5 | 60.0 | LOW |
Bowling
| powerplay | T20 | 114 | 141 | 2 | 7.4 | 70.5 | LOW |
| middle | ODI | 85 | 84 | 3 | 5.9 | 28.0 | LOW |
| middle | T20 | 54 | 72 | 1 | 8.0 | 72.0 | LOW |
| death | T20 | 48 | 76 | 1 | 9.5 | 76.0 | LOW |
| powerplay | ODI | 36 | 13 | 1 | 2.2 | 13.0 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| SPIN | T20 | 8 | 61 | 82 | 12.2 | 74.4 | 7.3 | 53.7 | 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.