Riya Pradhan 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.
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
| Hong Kong | T20 | 48 | 61 | 0 | 7.6 | — | LOW |
| Malaysia | T20 | 36 | 23 | 4 | 3.8 | 5.8 | 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
| Gelephu International Cricket Ground | T20 | 66 | 69 | 4 | 6.3 | 17.3 | LOW |
| Kolej Tuanku Jaafar Cricket Oval, Mantin | T20 | 60 | 60 | 3 | 6.0 | 20.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
Bowling
| Unknown | T20 | 150 | 145 | 8 | 5.8 | 18.1 | MEDIUM |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
Bowling
| middle | T20 | 84 | 85 | 5 | 6.1 | 17.0 | LOW |
| death | T20 | 48 | 53 | 2 | 6.6 | 26.5 | 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.