C Uwase 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 | 58 | 608 | 707 | 13.5 | 86.0 | 9.8 | 52.6 | HIGH |
Why we like it
Splits where C Uwase scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Nigeria (T20)MEDIUM sample
158 runs off 169 balls in 8 T20 matches — strike rate 93.5 vs 86.0 overall, average 22.6 vs 13.5 overall.
- Opposition: Kenya (T20)MEDIUM sample
120 runs off 126 balls in 13 T20 matches — strike rate 95.2 vs 86.0 overall, average 10.9 vs 13.5 overall.
- Bowling type: UNKNOWN (T20)MEDIUM sample
126 runs off 123 balls in 20 T20 matches — strike rate 102.4 vs 86.0 overall, average 21.0 vs 13.5 overall.
- Phase: powerplay (T20)MEDIUM sample
200 runs off 212 balls in 27 T20 matches — strike rate 94.3 vs 86.0 overall, average 25.0 vs 13.5 overall.
- Phase: death (T20)LOW sample
89 runs off 77 balls in 15 T20 matches — strike rate 115.6 vs 86.0 overall, average 11.1 vs 13.5 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Phase: middle (T20)HIGH sample
319 runs off 418 balls in 42 T20 matches — strike rate 76.3 vs 86.0 overall, average 11.0 vs 13.5 overall.
- Opposition: Uganda (T20)LOW sample
66 runs off 91 balls in 6 T20 matches — strike rate 72.5 vs 86.0 overall, average 11.0 vs 13.5 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.
| Nigeria | T20 | 8 | 158 | 169 | 22.6 | 93.5 | 10.1 | 46.7 | MEDIUM |
| Kenya | T20 | 13 | 120 | 126 | 10.9 | 95.2 | 13.5 | 54.8 | MEDIUM |
| Uganda | T20 | 6 | 66 | 91 | 11.0 | 72.5 | 7.7 | 60.4 | LOW |
| Malawi | T20 | 4 | 52 | 51 | 26.0 | 102.0 | 15.7 | 49.0 | LOW |
| Ghana | T20 | 2 | 38 | 34 | 19.0 | 111.8 | 14.7 | 44.1 | LOW |
| Italy | T20 | 2 | 31 | 32 | 31.0 | 96.9 | 6.3 | 34.4 | LOW |
| Sierra Leone | T20 | 3 | 30 | 32 | 10.0 | 93.8 | 12.5 | 56.3 | 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.
| Gahanga B Ground, Rwanda | T20 | 20 | 241 | 271 | 16.1 | 88.9 | 10.0 | 50.9 | MEDIUM |
| Gahanga International Cricket Stadium. Rwanda | T20 | 15 | 118 | 133 | 10.7 | 88.7 | 8.3 | 49.6 | MEDIUM |
| Sikh Union Club Ground, Nairobi | T20 | 5 | 53 | 55 | 13.3 | 96.4 | 14.5 | 54.5 | LOW |
| Tafawa Balewa Square Cricket Oval, Lagos | T20 | 3 | 41 | 52 | 13.7 | 78.8 | 9.6 | 55.8 | LOW |
| Botswana Cricket Association Oval 1, Gaborone | T20 | 4 | 35 | 48 | 17.5 | 72.9 | 6.3 | 60.4 | LOW |
| High Performance Oval, Windhoek | T20 | 4 | 51 | 46 | 12.8 | 110.9 | 17.4 | 47.8 | LOW |
| Entebbe Cricket Oval | T20 | 3 | 28 | 43 | 9.3 | 65.1 | 4.7 | 53.5 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 58 | 608 | 707 | 13.5 | 86.0 | 9.8 | 52.6 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 42 | 319 | 418 | 11.0 | 76.3 | 6.9 | 54.3 | HIGH |
| powerplay | T20 | 27 | 200 | 212 | 25.0 | 94.3 | 13.7 | 54.2 | MEDIUM |
| death | T20 | 15 | 89 | 77 | 11.1 | 115.6 | 14.3 | 39.0 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| SPIN | T20 | 35 | 260 | 314 | 15.3 | 82.8 | 8.0 | 52.2 | HIGH |
| PACE | T20 | 44 | 222 | 270 | 10.1 | 82.2 | 10.7 | 55.9 | MEDIUM |
| UNKNOWN | T20 | 20 | 126 | 123 | 21.0 | 102.4 | 12.2 | 46.3 | MEDIUM |
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.