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JR Newton 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.

overallT205819216.288.06.535.9LOW
overallT2012015047.537.5LOW

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.

AustriaT201504550.0111.18.926.7LOW

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.

Happy Valley GroundT203535417.798.17.433.3LOW
Happy Valley Ground 2T202283814.073.75.339.5LOW

Bowling

Happy Valley GroundT20728136.827.0LOW
Happy Valley Ground 2T20486918.669.0LOW

By country

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

UnknownT205819216.288.06.535.9LOW

Bowling

UnknownT2012015047.537.5LOW

By match phase

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

middleT204516125.583.64.934.4LOW

Bowling

powerplayT208410727.653.5LOW

Against pace and spin

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

PACET205424714.089.46.434.0LOW
SPINT204363618.0100.08.330.6LOW

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.