TT Aung 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 | 28 | 295 | 491 | 13.4 | 60.1 | 5.7 | 61.5 | HIGH |
| overall | T20 | 46 | 51 | 4 | 6.7 | 12.8 | LOW |
Why we like it
Splits where TT Aung scores materially faster or lasts materially longer than their own baseline in the same format.
- Venue: Singapore National Cricket Ground (T20)MEDIUM sample
89 runs off 127 balls in 8 T20 matches — strike rate 70.1 vs 60.1 overall, average 11.1 vs 13.4 overall.
- Phase: middle (T20)MEDIUM sample
133 runs off 194 balls in 14 T20 matches — strike rate 68.6 vs 60.1 overall, average 19.0 vs 13.4 overall.
- Opposition: Singapore (T20)LOW sample
75 runs off 91 balls in 5 T20 matches — strike rate 82.4 vs 60.1 overall, average 15.0 vs 13.4 overall.
- Venue: Zhejiang University of Technology Cricket Field (T20)LOW sample
64 runs off 94 balls in 4 T20 matches — strike rate 68.1 vs 60.1 overall, average 21.3 vs 13.4 overall.
- Bowling type: UNKNOWN (T20)LOW sample
65 runs off 95 balls in 13 T20 matches — strike rate 68.4 vs 60.1 overall, average 32.5 vs 13.4 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: powerplay (T20)MEDIUM sample
114 runs off 240 balls in 22 T20 matches — strike rate 47.5 vs 60.1 overall, average 8.8 vs 13.4 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.
| Kuwait | T20 | 7 | 86 | 147 | 17.2 | 58.5 | 2.7 | 56.5 | MEDIUM |
| Singapore | T20 | 5 | 75 | 91 | 15.0 | 82.4 | 11.0 | 56.0 | LOW |
| Bhutan | T20 | 4 | 49 | 79 | 16.3 | 62.0 | 7.6 | 59.5 | LOW |
| Mongolia | T20 | 2 | 46 | 56 | 46.0 | 82.1 | 10.7 | 57.1 | LOW |
| Bahrain | T20 | 1 | 16 | 37 | — | 43.2 | 0.0 | 59.5 | 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.
| Singapore National Cricket Ground | T20 | 8 | 89 | 127 | 11.1 | 70.1 | 7.1 | 58.3 | MEDIUM |
| Zhejiang University of Technology Cricket Field | T20 | 4 | 64 | 94 | 21.3 | 68.1 | 8.5 | 64.9 | LOW |
| Gelephu International Cricket Ground | T20 | 4 | 49 | 79 | 16.3 | 62.0 | 7.6 | 59.5 | LOW |
| YSD-UKM Cricket Oval, Bangi | T20 | 2 | 25 | 54 | 25.0 | 46.3 | 1.9 | 63.0 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 4 | 35 | 50 | 8.8 | 70.0 | 8.0 | 60.0 | LOW |
| Bayuemas Oval, Kuala Lumpur | T20 | 3 | 17 | 49 | 8.5 | 34.7 | 0.0 | 67.3 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 28 | 295 | 491 | 13.4 | 60.1 | 5.7 | 61.5 | HIGH |
Bowling
| Unknown | T20 | 46 | 51 | 4 | 6.7 | 12.8 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 22 | 114 | 240 | 8.8 | 47.5 | 4.6 | 71.7 | MEDIUM |
| middle | T20 | 14 | 133 | 194 | 19.0 | 68.6 | 6.2 | 53.6 | MEDIUM |
| death | T20 | 7 | 48 | 57 | 24.0 | 84.2 | 8.8 | 45.6 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 22 | 142 | 230 | 14.2 | 61.7 | 7.4 | 64.3 | MEDIUM |
| SPIN | T20 | 20 | 88 | 166 | 8.8 | 53.0 | 3.0 | 60.8 | MEDIUM |
| UNKNOWN | T20 | 13 | 65 | 95 | 32.5 | 68.4 | 6.3 | 55.8 | 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.