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D Birrell betting stats, splits & projections

Bowler

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.

overallT20313146.592.90.042.9LOW
overallODI1010.00.00.0100.0LOW
overallT20253301167.118.8MEDIUM
overallODI605415.454.0LOW

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

GuernseyT208511237.937.3LOW
United Arab EmiratesODI605415.454.0LOW
SpainT20485947.414.8LOW
SwitzerlandT20363626.018.0LOW

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

Bayer Uerdingen Cricket GroundT20727366.112.2LOW
Wanderers Cricket Ground, WindhoekODI605415.454.0LOW
King George V Sports Ground, CastelT20486237.820.7LOW
La Manga Club Top GroundT20485947.414.8LOW

By country

Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.

Bowling

UnknownT20253301167.118.8MEDIUM
UnknownODI605415.454.0LOW

By match phase

Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.

Bowling

powerplayT20174205127.117.1MEDIUM
middleT20425828.329.0LOW
deathT20373826.219.0LOW

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.