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Muhammad Saqlain 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.

overallT2075171.329.45.988.2LOW
overallT20433602308.320.1HIGH

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

AustriaT20138222109.722.2LOW
LuxembourgT20434075.65.7LOW
RomaniaT20426238.920.7LOW
BelgiumT203681013.5—LOW
MaltaT20365419.054.0LOW
SloveniaT20363626.018.0LOW

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

GB Oval, SzodligetT20169210137.516.2MEDIUM
Moara Vlasiei Cricket Ground, Ilfov CountyT2011417799.319.7LOW
Marsa Sports ClubT207811869.119.7LOW
Svanholm Park, BrondbyT20487719.677.0LOW

By country

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

Bowling

UnknownT20433602308.320.1HIGH

By match phase

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

Bowling

powerplayT20300430188.623.9MEDIUM
middleT20788366.413.8LOW
deathT20558969.714.8LOW

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.