ZL Win betting stats, splits & projections
Bowler
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 | 29 | 211 | 269 | 9.6 | 78.4 | 7.4 | 52.0 | MEDIUM |
| overall | T20 | 649 | 461 | 29 | 4.3 | 15.9 | HIGH |
Why we like it
Splits where ZL Win scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Bhutan (T20)LOW sample
70 runs off 74 balls in 4 T20 matches — strike rate 94.6 vs 78.4 overall, average 70.0 vs 9.6 overall.
- Venue: Gelephu International Cricket Ground (T20)LOW sample
70 runs off 74 balls in 4 T20 matches — strike rate 94.6 vs 78.4 overall, average 70.0 vs 9.6 overall.
- Phase: death (T20)LOW sample
74 runs off 79 balls in 12 T20 matches — strike rate 93.7 vs 78.4 overall, average 9.3 vs 9.6 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: middle (T20)MEDIUM sample
107 runs off 155 balls in 22 T20 matches — strike rate 69.0 vs 78.4 overall, average 9.7 vs 9.6 overall.
- Opposition: Singapore (T20)LOW sample
54 runs off 83 balls in 9 T20 matches — strike rate 65.1 vs 78.4 overall, average 7.7 vs 9.6 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.
| Singapore | T20 | 9 | 54 | 83 | 7.7 | 65.1 | 3.6 | 55.4 | LOW |
| Bhutan | T20 | 4 | 70 | 74 | 70.0 | 94.6 | 9.5 | 43.2 | LOW |
Bowling
| Singapore | T20 | 186 | 127 | 8 | 4.1 | 15.9 | MEDIUM |
| Kuwait | T20 | 168 | 127 | 4 | 4.5 | 31.8 | MEDIUM |
| Bhutan | T20 | 90 | 62 | 5 | 4.1 | 12.4 | LOW |
| Mongolia | T20 | 72 | 42 | 5 | 3.5 | 8.4 | 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.
| Gelephu International Cricket Ground | T20 | 4 | 70 | 74 | 70.0 | 94.6 | 9.5 | 43.2 | LOW |
| Singapore National Cricket Ground | T20 | 7 | 44 | 62 | 7.3 | 71.0 | 4.8 | 53.2 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 4 | 52 | 57 | 13.0 | 91.2 | 14.0 | 52.6 | LOW |
Bowling
| Singapore National Cricket Ground | T20 | 222 | 168 | 8 | 4.5 | 21.0 | MEDIUM |
| Zhejiang University of Technology Cricket Field | T20 | 96 | 39 | 5 | 2.4 | 7.8 | LOW |
| Gelephu International Cricket Ground | T20 | 90 | 62 | 5 | 4.1 | 12.4 | LOW |
| YSD-UKM Cricket Oval, Bangi | T20 | 72 | 70 | 4 | 5.8 | 17.5 | LOW |
| Bayuemas Oval, Kuala Lumpur | T20 | 49 | 20 | 2 | 2.4 | 10.0 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 48 | 45 | 4 | 5.6 | 11.3 | LOW |
| Indian Association Ground, Singapore | T20 | 42 | 31 | 1 | 4.4 | 31.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 29 | 211 | 269 | 9.6 | 78.4 | 7.4 | 52.0 | MEDIUM |
Bowling
| Unknown | T20 | 649 | 461 | 29 | 4.3 | 15.9 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 22 | 107 | 155 | 9.7 | 69.0 | 7.1 | 58.1 | MEDIUM |
| death | T20 | 12 | 74 | 79 | 9.3 | 93.7 | 6.3 | 40.5 | LOW |
| powerplay | T20 | 5 | 30 | 35 | 10.0 | 85.7 | 11.4 | 51.4 | LOW |
Bowling
| powerplay | T20 | 355 | 267 | 16 | 4.5 | 16.7 | MEDIUM |
| middle | T20 | 228 | 151 | 7 | 4.0 | 21.6 | MEDIUM |
| death | T20 | 66 | 43 | 6 | 3.9 | 7.2 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 17 | 84 | 111 | 16.8 | 75.7 | 6.3 | 53.2 | LOW |
| SPIN | T20 | 24 | 74 | 99 | 6.7 | 74.7 | 6.1 | 50.5 | LOW |
| UNKNOWN | T20 | 14 | 53 | 59 | 8.8 | 89.8 | 11.9 | 52.5 | 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.