DJ Brasher 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 | FIRST_CLASS | 6 | 236 | 612 | 23.6 | 38.6 | 3.9 | 78.8 | HIGH |
| overall | LIST_A | 1 | 23 | 42 | 23.0 | 54.8 | 4.8 | 66.7 | LOW |
| overall | FIRST_CLASS | 12 | 0 | 0 | 0.0 | — | LOW |
Why we like it
Splits where DJ Brasher scores materially faster or lasts materially longer than their own baseline in the same format.
- Opposition: Queensland (FIRST CLASS)HIGH sample
148 runs off 482 balls in 2 FIRST CLASS matches — strike rate 30.7 vs 38.6 overall, average 37.0 vs 23.6 overall.
- Venue: Melbourne Cricket Ground (FIRST CLASS)HIGH sample
148 runs off 482 balls in 2 FIRST CLASS matches — strike rate 30.7 vs 38.6 overall, average 37.0 vs 23.6 overall.
- Opposition: South Australia (FIRST CLASS)MEDIUM sample
88 runs off 130 balls in 4 FIRST CLASS matches — strike rate 67.7 vs 38.6 overall, average 14.7 vs 23.6 overall.
- Venue: Junction Oval, Melbourne (FIRST CLASS)MEDIUM sample
88 runs off 130 balls in 4 FIRST CLASS matches — strike rate 67.7 vs 38.6 overall, average 14.7 vs 23.6 overall.
- Bowling type: PACE (FIRST CLASS)MEDIUM sample
106 runs off 216 balls in 6 FIRST CLASS matches — strike rate 49.1 vs 38.6 overall, average 17.7 vs 23.6 overall.
- Phase: new_ball (FIRST CLASS)MEDIUM sample
86 runs off 180 balls in 6 FIRST CLASS matches — strike rate 47.8 vs 38.6 overall, average 10.8 vs 23.6 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Bowling type: UNKNOWN (FIRST CLASS)MEDIUM sample
58 runs off 192 balls in 2 FIRST CLASS matches — strike rate 30.2 vs 38.6 overall, average 29.0 vs 23.6 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.
| Queensland | FIRST_CLASS | 2 | 148 | 482 | 37.0 | 30.7 | 2.5 | 80.9 | HIGH |
| South Australia | FIRST_CLASS | 4 | 88 | 130 | 14.7 | 67.7 | 9.2 | 70.8 | MEDIUM |
| Western Australia | LIST_A | 1 | 23 | 42 | 23.0 | 54.8 | 4.8 | 66.7 | 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.
| Melbourne Cricket Ground | FIRST_CLASS | 2 | 148 | 482 | 37.0 | 30.7 | 2.5 | 80.9 | HIGH |
| Junction Oval, Melbourne | FIRST_CLASS | 4 | 88 | 130 | 14.7 | 67.7 | 9.2 | 70.8 | MEDIUM |
| Western Australia Cricket Association Ground, Perth | LIST_A | 1 | 23 | 42 | 23.0 | 54.8 | 4.8 | 66.7 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | FIRST_CLASS | 6 | 236 | 612 | 23.6 | 38.6 | 3.9 | 78.8 | HIGH |
| Unknown | LIST_A | 1 | 23 | 42 | 23.0 | 54.8 | 4.8 | 66.7 | LOW |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| old_ball | FIRST_CLASS | 4 | 150 | 432 | 75.0 | 34.7 | 3.2 | 79.2 | HIGH |
| new_ball | FIRST_CLASS | 6 | 86 | 180 | 10.8 | 47.8 | 5.6 | 77.8 | MEDIUM |
| middle | LIST_A | 1 | 23 | 42 | 23.0 | 54.8 | 4.8 | 66.7 | LOW |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| PACE | FIRST_CLASS | 6 | 106 | 216 | 17.7 | 49.1 | 6.5 | 77.8 | MEDIUM |
| SPIN | FIRST_CLASS | 4 | 72 | 204 | 36.0 | 35.3 | 2.9 | 78.4 | MEDIUM |
| UNKNOWN | FIRST_CLASS | 2 | 58 | 192 | 29.0 | 30.2 | 2.1 | 80.2 | MEDIUM |
| PACE | LIST_A | 1 | 19 | 37 | 19.0 | 51.4 | 5.4 | 73.0 | 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.