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S Mathur 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.

overallT201619822416.588.46.741.5MEDIUM

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.

MalaysiaT203445614.778.63.646.4LOW
QatarT202374518.582.24.444.4LOW

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.

Bayuemas Oval, Kuala LumpurT203535826.591.45.237.9LOW
Singapore National Cricket GroundT203525026.0104.010.038.0LOW
West End Park International Cricket Stadium, DohaT201193219.059.43.150.0LOW

By country

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

UnknownT201619822416.588.46.741.5MEDIUM

By match phase

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

middleT201315016018.893.86.336.9MEDIUM
powerplayT208304810.062.56.360.4LOW

Against pace and spin

Record against each bowling type faced, rolled up when a finer category has too few balls.

SPINT20129711312.185.85.339.8LOW
PACET2011566918.781.27.252.2LOW
UNKNOWNT208454245.0107.19.528.6LOW

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.