Harpreet Singh 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 | 7 | 106 | 102 | 17.7 | 103.9 | 12.7 | 43.1 | 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.
| Mumbai Indians | T20 | 2 | 54 | 42 | 27.0 | 128.6 | 19.0 | 45.2 | 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.
| Maharaja Yadavindra Singh International Cricket Stadium, Mullanpur | T20 | 2 | 27 | 34 | 13.5 | 79.4 | 5.9 | 44.1 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 7 | 106 | 102 | 17.7 | 103.9 | 12.7 | 43.1 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 4 | 37 | 42 | 18.5 | 88.1 | 7.1 | 38.1 | LOW |
| powerplay | T20 | 5 | 33 | 39 | 16.5 | 84.6 | 12.8 | 56.4 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 5 | 74 | 60 | 37.0 | 123.3 | 18.3 | 45.0 | 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.