MPP San 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 | 32 | 237 | 388 | 9.9 | 61.1 | 4.9 | 61.6 | HIGH |
| overall | T20 | 458 | 359 | 19 | 4.7 | 18.9 | HIGH |
Why we like it
Splits where MPP San scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Singapore (T20)MEDIUM sample
102 runs off 136 balls in 8 T20 matches — strike rate 75.0 vs 61.1 overall, average 25.5 vs 9.9 overall.
- Venue: Singapore National Cricket Ground (T20)MEDIUM sample
106 runs off 120 balls in 8 T20 matches — strike rate 88.3 vs 61.1 overall, average 21.2 vs 9.9 overall.
- Bowling type: UNKNOWN (T20)LOW sample
75 runs off 74 balls in 16 T20 matches — strike rate 101.4 vs 61.1 overall, average 18.8 vs 9.9 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Bowling type: SPIN (T20)MEDIUM sample
72 runs off 154 balls in 25 T20 matches — strike rate 46.8 vs 61.1 overall, average 5.1 vs 9.9 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 | 8 | 102 | 136 | 25.5 | 75.0 | 9.6 | 61.8 | MEDIUM |
| Kuwait | T20 | 8 | 49 | 91 | 7.0 | 53.8 | 1.1 | 57.1 | LOW |
| Bhutan | T20 | 3 | 30 | 38 | 10.0 | 78.9 | 7.9 | 47.4 | LOW |
Bowling
| Kuwait | T20 | 158 | 153 | 8 | 5.8 | 19.1 | MEDIUM |
| Singapore | T20 | 156 | 106 | 4 | 4.1 | 26.5 | MEDIUM |
| Mongolia | T20 | 60 | 30 | 3 | 3.0 | 10.0 | 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 | 106 | 120 | 21.2 | 88.3 | 8.3 | 46.7 | MEDIUM |
| Bayuemas Oval, Kuala Lumpur | T20 | 3 | 12 | 43 | 4.0 | 27.9 | 0.0 | 79.1 | LOW |
| Gelephu International Cricket Ground | T20 | 3 | 30 | 38 | 10.0 | 78.9 | 7.9 | 47.4 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 4 | 3 | 32 | 0.8 | 9.4 | 0.0 | 90.6 | LOW |
| Zhejiang University of Technology Cricket Field | T20 | 4 | 26 | 31 | 8.7 | 83.9 | 3.2 | 48.4 | LOW |
Bowling
| Singapore National Cricket Ground | T20 | 192 | 160 | 11 | 5.0 | 14.5 | MEDIUM |
| Zhejiang University of Technology Cricket Field | T20 | 66 | 36 | 5 | 3.3 | 7.2 | LOW |
| YSD-UKM Cricket Oval, Bangi | T20 | 62 | 40 | 1 | 3.9 | 40.0 | LOW |
| Bayuemas Oval, Kuala Lumpur | T20 | 48 | 34 | 2 | 4.3 | 17.0 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 48 | 49 | 0 | 6.1 | — | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 32 | 237 | 388 | 9.9 | 61.1 | 4.9 | 61.6 | HIGH |
Bowling
| Unknown | T20 | 458 | 359 | 19 | 4.7 | 18.9 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 22 | 145 | 231 | 10.4 | 62.8 | 4.3 | 58.9 | MEDIUM |
| powerplay | T20 | 16 | 68 | 128 | 9.7 | 53.1 | 6.3 | 71.1 | MEDIUM |
Bowling
| powerplay | T20 | 216 | 172 | 7 | 4.8 | 24.6 | MEDIUM |
| middle | T20 | 162 | 106 | 7 | 3.9 | 15.1 | MEDIUM |
| death | T20 | 80 | 81 | 5 | 6.1 | 16.2 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 21 | 90 | 160 | 15.0 | 56.3 | 4.4 | 64.4 | MEDIUM |
| SPIN | T20 | 25 | 72 | 154 | 5.1 | 46.8 | 1.3 | 64.9 | MEDIUM |
| UNKNOWN | T20 | 16 | 75 | 74 | 18.8 | 101.4 | 13.5 | 48.6 | 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.