BI Dilruksha 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 | 19 | 392 | 367 | 21.8 | 106.8 | 14.7 | 48.0 | HIGH |
Why we like it
Splits where BI Dilruksha scores materially faster or lasts materially longer than their own baseline in the same format.
- Venue: Udayana Cricket Ground (T20)MEDIUM sample
202 runs off 155 balls in 8 T20 matches — strike rate 130.3 vs 106.8 overall, average 25.3 vs 21.8 overall.
- Phase: middle (T20)MEDIUM sample
181 runs off 147 balls in 11 T20 matches — strike rate 123.1 vs 106.8 overall, average 18.1 vs 21.8 overall.
- Opposition: Fiji (T20)LOW sample
93 runs off 76 balls in 2 T20 matches — strike rate 122.4 vs 106.8 overall, average 93.0 vs 21.8 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: powerplay (T20)MEDIUM sample
211 runs off 220 balls in 19 T20 matches — strike rate 95.9 vs 106.8 overall, average 26.4 vs 21.8 overall.
- Venue: Yeonhui Cricket Ground, Incheon (T20)LOW sample
63 runs off 93 balls in 5 T20 matches — strike rate 67.7 vs 106.8 overall, average 12.6 vs 21.8 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 | 167 | 152 | 27.8 | 109.9 | 13.2 | 42.1 | MEDIUM |
| Philippines | T20 | 7 | 105 | 96 | 15.0 | 109.4 | 17.7 | 52.1 | LOW |
| Fiji | T20 | 2 | 93 | 76 | 93.0 | 122.4 | 17.1 | 43.4 | 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 | 8 | 202 | 155 | 25.3 | 130.3 | 20.6 | 44.5 | MEDIUM |
| Sano International Cricket Ground 2 | T20 | 4 | 114 | 104 | 38.0 | 109.6 | 15.4 | 48.1 | LOW |
| Yeonhui Cricket Ground, Incheon | T20 | 5 | 63 | 93 | 12.6 | 67.7 | 3.2 | 49.5 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 19 | 392 | 367 | 21.8 | 106.8 | 14.7 | 48.0 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 19 | 211 | 220 | 26.4 | 95.9 | 15.0 | 55.9 | MEDIUM |
| middle | T20 | 11 | 181 | 147 | 18.1 | 123.1 | 14.3 | 36.1 | MEDIUM |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| SPIN | T20 | 17 | 172 | 172 | 19.1 | 100.0 | 12.2 | 47.1 | MEDIUM |
| PACE | T20 | 17 | 180 | 161 | 25.7 | 111.8 | 16.8 | 48.4 | MEDIUM |
| UNKNOWN | T20 | 7 | 40 | 34 | 20.0 | 117.6 | 17.6 | 50.0 | 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.