M Kasselman 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 | 24 | 490 | 404 | 25.8 | 121.3 | 15.6 | 43.8 | HIGH |
| overall | T20 | 6 | 11 | 0 | 11.0 | — | LOW |
Why we like it
Splits where M Kasselman scores materially faster or lasts materially longer than their own baseline in the same format.
- Bowling type: PACE (T20)MEDIUM sample
322 runs off 232 balls in 20 T20 matches — strike rate 138.8 vs 121.3 overall, average 32.2 vs 25.8 overall.
- Phase: powerplay (T20)MEDIUM sample
289 runs off 212 balls in 18 T20 matches — strike rate 136.3 vs 121.3 overall, average 36.1 vs 25.8 overall.
- Opposition: Ivory Coast (T20)LOW sample
121 runs off 62 balls in 2 T20 matches — strike rate 195.2 vs 121.3 overall, average 121.0 vs 25.8 overall.
- Venue: Botswana Cricket Association Oval 1, Gaborone (T20)LOW sample
187 runs off 116 balls in 4 T20 matches — strike rate 161.2 vs 121.3 overall, average 62.3 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
178 runs off 172 balls in 13 T20 matches — strike rate 103.5 vs 121.3 overall, average 17.8 vs 25.8 overall.
- Opposition: Uganda (T20)LOW sample
50 runs off 66 balls in 4 T20 matches — strike rate 75.8 vs 121.3 overall, average 12.5 vs 25.8 overall.
- Venue: Takashinga Sports Club, Highfield, Harare (T20)LOW sample
63 runs off 87 balls in 4 T20 matches — strike rate 72.4 vs 121.3 overall, average 15.8 vs 25.8 overall.
- Bowling type: SPIN (T20)LOW sample
61 runs off 84 balls in 12 T20 matches — strike rate 72.6 vs 121.3 overall, average 8.7 vs 25.8 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.
| Rwanda | T20 | 4 | 92 | 74 | 23.0 | 124.3 | 21.6 | 50.0 | LOW |
| Uganda | T20 | 4 | 50 | 66 | 12.5 | 75.8 | 9.1 | 59.1 | LOW |
| Ivory Coast | T20 | 2 | 121 | 62 | 121.0 | 195.2 | 24.2 | 19.4 | LOW |
| Nigeria | T20 | 5 | 66 | 55 | 16.5 | 120.0 | 12.7 | 41.8 | LOW |
| Sierra Leone | T20 | 2 | 74 | 49 | 74.0 | 151.0 | 24.5 | 42.9 | LOW |
| Zimbabwe | T20 | 1 | 26 | 35 | 26.0 | 74.3 | 5.7 | 57.1 | 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.
| Botswana Cricket Association Oval 1, Gaborone | T20 | 4 | 187 | 116 | 62.3 | 161.2 | 21.6 | 32.8 | LOW |
| Gahanga International Cricket Stadium. Rwanda | T20 | 8 | 125 | 103 | 17.9 | 121.4 | 16.5 | 45.6 | LOW |
| Takashinga Sports Club, Highfield, Harare | T20 | 4 | 63 | 87 | 15.8 | 72.4 | 4.6 | 48.3 | LOW |
| Harare Sports Club | T20 | 1 | 26 | 35 | 26.0 | 74.3 | 5.7 | 57.1 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 23 | 464 | 369 | 25.8 | 125.7 | 16.5 | 42.5 | HIGH |
| Zimbabwe | T20 | 1 | 26 | 35 | 26.0 | 74.3 | 5.7 | 57.1 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| powerplay | T20 | 18 | 289 | 212 | 36.1 | 136.3 | 20.8 | 45.3 | MEDIUM |
| middle | T20 | 13 | 178 | 172 | 17.8 | 103.5 | 9.9 | 43.0 | MEDIUM |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | T20 | 20 | 322 | 232 | 32.2 | 138.8 | 19.8 | 40.1 | MEDIUM |
| UNKNOWN | T20 | 14 | 107 | 88 | 53.5 | 121.6 | 13.6 | 44.3 | LOW |
| SPIN | T20 | 12 | 61 | 84 | 8.7 | 72.6 | 6.0 | 53.6 | 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.