E Ungerman 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 | 12 | 23 | 6.0 | 52.2 | 8.7 | 78.3 | LOW |
| overall | T20 | 222 | 219 | 13 | 5.9 | 16.8 | MEDIUM |
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
| Philippines | T20 | 66 | 59 | 5 | 5.4 | 11.8 | LOW |
| Indonesia | T20 | 42 | 47 | 3 | 6.7 | 15.7 | LOW |
| Myanmar | T20 | 42 | 38 | 2 | 5.4 | 19.0 | 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.
Bowling
| Singapore National Cricket Ground | T20 | 144 | 129 | 11 | 5.4 | 11.7 | LOW |
| Selangor Turf Club, Kuala Lumpur | T20 | 36 | 38 | 1 | 6.3 | 38.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
Bowling
| Unknown | T20 | 198 | 187 | 13 | 5.7 | 14.4 | MEDIUM |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
Bowling
| powerplay | T20 | 150 | 153 | 8 | 6.1 | 19.1 | MEDIUM |
| middle | T20 | 60 | 62 | 3 | 6.2 | 20.7 | 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.