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Maahi Madhavan 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.

overallT20518249.075.08.345.8LOW
overallODI1121.050.00.050.0LOW
overallT20246251186.113.9MEDIUM
overallODI907414.974.0LOW

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

ZimbabweODI907414.974.0LOW
NepalT20362744.56.8LOW
NetherlandsT20363816.338.0LOW

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

Grand Prairie Stadium, DallasODI907414.974.0LOW
Gahanga International Cricket Stadium. RwandaT20726775.69.6LOW
Mulpani Cricket GroundT20668157.416.2LOW
Gahanga B Ground, RwandaT20423434.911.3LOW
Sportpark Maarschalkerweerd, UtrechtT20363816.338.0LOW

By country

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

Bowling

UnknownT20246251186.113.9MEDIUM
UnknownODI907414.974.0LOW

By match phase

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

Bowling

powerplayT201089975.514.1LOW
deathT20728577.112.1LOW
middleT20666746.116.8LOW
middleODI422513.625.0LOW

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.