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M Hundal betting stats, splits & projections

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.

overallT20612323.037.50.065.6LOW
overallT20260245195.712.9MEDIUM

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.

ArgentinaT20512314.038.70.064.5LOW

Bowling

ArgentinaT2012811495.312.7LOW
BrazilT20664674.26.6LOW
United States of AmericaT20668537.728.3LOW

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.

St George's College Ground, Buenos AiresT20412306.040.00.063.3LOW

Bowling

Woodley Cricket Field, Los AngelesT20120114105.711.4LOW
St Albans Club, Buenos AiresT20907775.111.0LOW
St George's College Ground, Buenos AiresT20505426.527.0LOW

By country

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

UnknownT20612323.037.50.065.6LOW

Bowling

UnknownT20260245195.712.9MEDIUM

By match phase

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

Bowling

middleT20210189175.411.1MEDIUM

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.