Wan Julia 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 | 52 | 534 | 748 | 11.6 | 71.4 | 5.7 | 55.3 | HIGH |
Why we like it
Splits where Wan Julia scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Singapore (T20)LOW sample
79 runs off 102 balls in 4 T20 matches — strike rate 77.5 vs 71.4 overall, average 19.8 vs 11.6 overall.
- Opposition: Qatar (T20)LOW sample
62 runs off 66 balls in 3 T20 matches — strike rate 93.9 vs 71.4 overall, average 62.0 vs 11.6 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: middle (T20)MEDIUM sample
134 runs off 219 balls in 17 T20 matches — strike rate 61.2 vs 71.4 overall, average 9.6 vs 11.6 overall.
- Opposition: United Arab Emirates (T20)LOW sample
51 runs off 93 balls in 7 T20 matches — strike rate 54.8 vs 71.4 overall, average 7.3 vs 11.6 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.
| Nepal | T20 | 13 | 132 | 188 | 11.0 | 70.2 | 4.8 | 53.2 | MEDIUM |
| Singapore | T20 | 4 | 79 | 102 | 19.8 | 77.5 | 3.9 | 49.0 | LOW |
| United Arab Emirates | T20 | 7 | 51 | 93 | 7.3 | 54.8 | 5.4 | 61.3 | LOW |
| Thailand | T20 | 4 | 54 | 69 | 13.5 | 78.3 | 8.7 | 53.6 | LOW |
| Qatar | T20 | 3 | 62 | 66 | 62.0 | 93.9 | 10.6 | 48.5 | LOW |
| Kuwait | T20 | 4 | 64 | 58 | 32.0 | 110.3 | 10.3 | 41.4 | LOW |
| Bangladesh | T20 | 2 | 12 | 33 | 6.0 | 36.4 | 3.0 | 75.8 | 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.
| Bayuemas Oval, Kuala Lumpur | T20 | 15 | 99 | 136 | 8.3 | 72.8 | 5.1 | 56.6 | MEDIUM |
| YSD-UKM Cricket Oval, Bangi | T20 | 5 | 86 | 122 | 17.2 | 70.5 | 4.9 | 51.6 | MEDIUM |
| Indian Association Ground, Singapore | T20 | 3 | 66 | 94 | 22.0 | 70.2 | 3.2 | 50.0 | LOW |
| Rangiri Dambulla International Stadium | T20 | 3 | 66 | 85 | 22.0 | 77.6 | 8.2 | 55.3 | LOW |
| Kinrara Academy Oval, Kuala Lumpur | T20 | 8 | 60 | 83 | 8.6 | 72.3 | 8.4 | 60.2 | LOW |
| UKM-YSD Cricket Oval, Bangi | T20 | 3 | 45 | 65 | 22.5 | 69.2 | 4.6 | 55.4 | LOW |
| Sylhet International Cricket Stadium, Academy Ground | T20 | 3 | 21 | 47 | 7.0 | 44.7 | 2.1 | 66.0 | LOW |
| Johor Cricket Academy Oval | T20 | 2 | 41 | 39 | 20.5 | 105.1 | 10.3 | 46.2 | LOW |
| Selangor Turf Club, Kuala Lumpur | T20 | 3 | 25 | 39 | 8.3 | 64.1 | 7.7 | 66.7 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 52 | 534 | 748 | 11.6 | 71.4 | 5.7 | 55.3 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 46 | 348 | 479 | 12.9 | 72.7 | 6.9 | 57.6 | HIGH |
| middle | T20 | 17 | 134 | 219 | 9.6 | 61.2 | 4.1 | 56.6 | MEDIUM |
| death | T20 | 7 | 52 | 50 | 10.4 | 104.0 | 2.0 | 28.0 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 41 | 259 | 368 | 11.8 | 70.4 | 6.8 | 59.0 | HIGH |
| SPIN | T20 | 35 | 209 | 295 | 9.5 | 70.8 | 4.7 | 51.9 | MEDIUM |
| UNKNOWN | T20 | 11 | 66 | 85 | 33.0 | 77.6 | 4.7 | 51.8 | 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.