A Nao 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 | 10 | 98 | 89 | 24.5 | 110.1 | 13.5 | 42.7 | LOW |
| overall | ODI | 8 | 35 | 49 | 5.0 | 71.4 | 8.2 | 61.2 | LOW |
| overall | ODI | 505 | 448 | 11 | 5.3 | 40.7 | HIGH |
| overall | T20 | 436 | 425 | 25 | 5.8 | 17.0 | HIGH |
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
| Nepal | ODI | 204 | 189 | 6 | 5.6 | 31.5 | MEDIUM |
| United Arab Emirates | ODI | 90 | 45 | 4 | 3.0 | 11.3 | LOW |
| Namibia | ODI | 67 | 46 | 1 | 4.1 | 46.0 | LOW |
| Oman | T20 | 66 | 55 | 5 | 5.0 | 11.0 | LOW |
| Vanuatu | T20 | 60 | 63 | 1 | 6.3 | 63.0 | LOW |
| United States of America | ODI | 54 | 56 | 0 | 6.2 | — | LOW |
| Scotland | ODI | 48 | 56 | 0 | 7.0 | — | LOW |
| Nepal | T20 | 45 | 50 | 3 | 6.7 | 16.7 | LOW |
| Oman | ODI | 42 | 56 | 0 | 8.0 | — | LOW |
| Samoa | T20 | 42 | 56 | 4 | 8.0 | 14.0 | LOW |
| Hong Kong | T20 | 39 | 26 | 3 | 4.0 | 8.7 | 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.
| Sano International Cricket Ground | T20 | 3 | 38 | 38 | — | 100.0 | 13.2 | 42.1 | LOW |
| Wanderers Cricket Ground, Windhoek | ODI | 4 | 23 | 30 | 7.7 | 76.7 | 10.0 | 63.3 | LOW |
Bowling
| Dubai International Cricket Stadium | ODI | 210 | 186 | 4 | 5.3 | 46.5 | MEDIUM |
| Wanderers Cricket Ground, Windhoek | ODI | 121 | 102 | 1 | 5.1 | 102.0 | LOW |
| Tribhuvan University International Cricket Ground, Kirtipur | ODI | 114 | 123 | 4 | 6.5 | 30.8 | LOW |
| Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1) | T20 | 84 | 81 | 6 | 5.8 | 13.5 | LOW |
| Amini Park, Port Moresby | T20 | 66 | 66 | 1 | 6.0 | 66.0 | LOW |
| Sharjah Cricket Stadium | ODI | 60 | 37 | 2 | 3.7 | 18.5 | LOW |
| Sano International Cricket Ground | T20 | 60 | 62 | 3 | 6.2 | 20.7 | LOW |
| Bayuemas Oval, Kuala Lumpur | T20 | 42 | 36 | 4 | 5.1 | 9.0 | LOW |
| Mission Road Ground, Mong Kok, Hong Kong | T20 | 42 | 27 | 3 | 3.9 | 9.0 | LOW |
| Korogi Sports Park, Nisshin | T20 | 40 | 46 | 1 | 6.9 | 46.0 | LOW |
| Providence Stadium, Guyana | T20 | 36 | 25 | 3 | 4.2 | 8.3 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 7 | 60 | 51 | 15.0 | 117.6 | 13.7 | 43.1 | LOW |
| Unknown | ODI | 7 | 33 | 45 | 5.5 | 73.3 | 8.9 | 62.2 | LOW |
| Japan | T20 | 3 | 38 | 38 | — | 100.0 | 13.2 | 42.1 | LOW |
Bowling
| Unknown | ODI | 445 | 411 | 9 | 5.5 | 45.7 | HIGH |
| Unknown | T20 | 376 | 363 | 22 | 5.8 | 16.5 | HIGH |
| United Arab Emirates | ODI | 60 | 37 | 2 | 3.7 | 18.5 | LOW |
| Japan | T20 | 60 | 62 | 3 | 6.2 | 20.7 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| death | T20 | 10 | 98 | 84 | 24.5 | 116.7 | 14.3 | 39.3 | LOW |
| death | ODI | 6 | 19 | 33 | 3.8 | 57.6 | 3.0 | 60.6 | LOW |
Bowling
| powerplay | T20 | 264 | 233 | 15 | 5.3 | 15.5 | MEDIUM |
| powerplay | ODI | 246 | 180 | 8 | 4.4 | 22.5 | MEDIUM |
| middle | ODI | 169 | 136 | 0 | 4.8 | — | MEDIUM |
| death | T20 | 94 | 136 | 6 | 8.7 | 22.7 | LOW |
| death | ODI | 90 | 132 | 3 | 8.8 | 44.0 | LOW |
| middle | T20 | 78 | 56 | 4 | 4.3 | 14.0 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 8 | 71 | 51 | 71.0 | 139.2 | 15.7 | 29.4 | LOW |
| SPIN | T20 | 7 | 22 | 35 | 7.3 | 62.9 | 8.6 | 62.9 | 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.