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Asif Shaikh 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.

overallT20411135.584.67.753.8LOW
overallT20344366206.418.3MEDIUM

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

BhutanT2011011766.419.5LOW
IndonesiaT20969435.931.3LOW
KenyaT20484846.012.0LOW
SingaporeT20426128.730.5LOW
ThailandT20363846.39.5LOW

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

Udayana Cricket GroundT20969435.931.3LOW
Gelephu International Cricket GroundT20929155.918.2LOW
Gymkhana Club Ground, NairobiT20484846.012.0LOW
Terdthai Cricket Ground, BangkokT20485456.810.8LOW
Singapore National Cricket GroundT20426128.730.5LOW

By country

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

Bowling

UnknownT20344366206.418.3MEDIUM

By match phase

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

Bowling

middleT20300310156.220.7MEDIUM

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.