SG Mangela 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 | 16 | 361 | 307 | 25.8 | 117.6 | 11.7 | 32.2 | HIGH |
Why we like it
Splits where SG Mangela scores materially faster or lasts materially longer than their own baseline in the same format.
- Phase: powerplay (T20)MEDIUM sample
159 runs off 130 balls in 13 T20 matches — strike rate 122.3 vs 117.6 overall, average 39.8 vs 25.8 overall.
- Opposition: Botswana (T20)LOW sample
109 runs off 71 balls in 3 T20 matches — strike rate 153.5 vs 117.6 overall, average 54.5 vs 25.8 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: middle (T20)MEDIUM sample
159 runs off 161 balls in 12 T20 matches — strike rate 98.8 vs 117.6 overall, average 19.9 vs 25.8 overall.
- Opposition: Nigeria (T20)LOW sample
91 runs off 92 balls in 5 T20 matches — strike rate 98.9 vs 117.6 overall, average 22.8 vs 25.8 overall.
Current projections
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.
| Nigeria | T20 | 5 | 91 | 92 | 22.8 | 98.9 | 7.6 | 31.5 | LOW |
| Botswana | T20 | 3 | 109 | 71 | 54.5 | 153.5 | 19.7 | 28.2 | LOW |
| United Arab Emirates | T20 | 2 | 49 | 57 | 24.5 | 86.0 | 5.3 | 38.6 | LOW |
| Rwanda | T20 | 2 | 43 | 36 | 21.5 | 119.4 | 11.1 | 25.0 | LOW |
| Bahrain | T20 | 2 | 38 | 35 | 19.0 | 108.6 | 11.4 | 45.7 | 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.
| Entebbe Cricket Oval | T20 | 6 | 164 | 142 | 32.8 | 115.5 | 9.9 | 27.5 | MEDIUM |
| Gahanga International Cricket Stadium. Rwanda | T20 | 8 | 159 | 130 | 22.7 | 122.3 | 13.8 | 33.8 | MEDIUM |
| Jinja Cricket Ground | T20 | 2 | 38 | 35 | 19.0 | 108.6 | 11.4 | 45.7 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 16 | 361 | 307 | 25.8 | 117.6 | 11.7 | 32.2 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 12 | 159 | 161 | 19.9 | 98.8 | 6.2 | 30.4 | MEDIUM |
| powerplay | T20 | 13 | 159 | 130 | 39.8 | 122.3 | 14.6 | 36.2 | MEDIUM |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 15 | 192 | 157 | 24.0 | 122.3 | 12.1 | 29.9 | MEDIUM |
| SPIN | T20 | 10 | 122 | 106 | 30.5 | 115.1 | 12.3 | 37.7 | LOW |
| UNKNOWN | T20 | 8 | 47 | 44 | 23.5 | 106.8 | 9.1 | 27.3 | 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.