T Maika 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.
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 | 7 | 35 | 69 | 7.0 | 50.7 | 5.8 | 65.2 | LOW |
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.
| Philippines | T20 | 1 | 19 | 34 | 19.0 | 55.9 | 5.9 | 61.8 | 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.
| Albert Park 2, Suva | T20 | 2 | 24 | 38 | 12.0 | 63.2 | 7.9 | 60.5 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 7 | 35 | 69 | 7.0 | 50.7 | 5.8 | 65.2 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 5 | 20 | 44 | 5.0 | 45.5 | 6.8 | 72.7 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 7 | 21 | 45 | 4.2 | 46.7 | 6.7 | 73.3 | 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.