MJ Massawe betting stats, splits & projections
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.
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.
Bowling
| Hong Kong | T20 | 72 | 73 | 2 | 6.1 | 36.5 | LOW |
| Uganda | T20 | 48 | 59 | 0 | 7.4 | — | 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.
Bowling
| High Performance Oval, Windhoek | T20 | 72 | 86 | 1 | 7.2 | 86.0 | LOW |
| Namibia Cricket Ground, Windhoek | T20 | 72 | 74 | 1 | 6.2 | 74.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
Bowling
| Unknown | T20 | 144 | 160 | 2 | 6.7 | 80.0 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
Bowling
| middle | T20 | 120 | 131 | 1 | 6.5 | 131.0 | 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.