B Ichinkhorloo betting stats, splits & projections
Batter
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 | 18 | 110 | 339 | 6.5 | 32.4 | 2.4 | 77.3 | HIGH |
Why we like it
Splits where B Ichinkhorloo scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Myanmar (T20)LOW sample
40 runs off 87 balls in 3 T20 matches — strike rate 46.0 vs 32.4 overall, average 13.3 vs 6.5 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Opposition: Indonesia (T20)LOW sample
16 runs off 98 balls in 6 T20 matches — strike rate 16.3 vs 32.4 overall, average 2.7 vs 6.5 overall.
- Venue: Udayana Cricket Ground (T20)LOW sample
16 runs off 98 balls in 6 T20 matches — strike rate 16.3 vs 32.4 overall, average 2.7 vs 6.5 overall.
- Bowling type: SPIN (T20)LOW sample
21 runs off 106 balls in 12 T20 matches — strike rate 19.8 vs 32.4 overall, average 3.0 vs 6.5 overall.
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.
| Indonesia | T20 | 6 | 16 | 98 | 2.7 | 16.3 | 0.0 | 81.6 | LOW |
| Myanmar | T20 | 3 | 40 | 87 | 13.3 | 46.0 | 4.6 | 70.1 | LOW |
| Japan | T20 | 1 | 13 | 47 | 13.0 | 27.7 | 0.0 | 76.6 | LOW |
| Philippines | T20 | 2 | 12 | 38 | 6.0 | 31.6 | 0.0 | 73.7 | LOW |
| Hong Kong | T20 | 2 | 13 | 36 | 6.5 | 36.1 | 8.3 | 91.7 | 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.
| Udayana Cricket Ground | T20 | 6 | 16 | 98 | 2.7 | 16.3 | 0.0 | 81.6 | LOW |
| Zhejiang University of Technology Cricket Field | T20 | 4 | 17 | 64 | 5.7 | 26.6 | 0.0 | 75.0 | LOW |
| Bayuemas Oval, Kuala Lumpur | T20 | 2 | 21 | 57 | 10.5 | 36.8 | 0.0 | 71.9 | LOW |
| Sano International Cricket Ground | T20 | 3 | 20 | 50 | 6.7 | 40.0 | 8.0 | 86.0 | LOW |
| YSD-UKM Cricket Oval, Bangi | T20 | 1 | 24 | 35 | 24.0 | 68.6 | 11.4 | 68.6 | LOW |
| Sano International Cricket Ground 2 | T20 | 1 | 12 | 34 | 12.0 | 35.3 | 0.0 | 73.5 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 15 | 90 | 289 | 6.4 | 31.1 | 1.4 | 75.8 | MEDIUM |
| Japan | T20 | 3 | 20 | 50 | 6.7 | 40.0 | 8.0 | 86.0 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 18 | 62 | 208 | 7.8 | 29.8 | 1.9 | 78.4 | MEDIUM |
| middle | T20 | 9 | 47 | 126 | 5.9 | 37.3 | 3.2 | 75.4 | MEDIUM |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 16 | 72 | 192 | 12.0 | 37.5 | 3.6 | 75.0 | MEDIUM |
| SPIN | T20 | 12 | 21 | 106 | 3.0 | 19.8 | 0.0 | 83.0 | LOW |
| UNKNOWN | T20 | 8 | 17 | 41 | 4.3 | 41.5 | 2.4 | 73.2 | 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.