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Kuldeep Gurjar 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.

overallT201051875.158.63.457.5LOW
overallT20193280148.720.0MEDIUM

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.

IndonesiaT20521534.239.60.058.5LOW

Bowling

PhilippinesT20739547.823.8LOW
IndonesiaT20727786.49.6LOW

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.

Udayana Cricket GroundT20747716.766.24.253.5LOW

Bowling

Udayana Cricket GroundT20115156108.115.6LOW
Sano International Cricket Ground 2T20424736.715.7LOW

By country

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

UnknownT20949805.461.33.856.3LOW

Bowling

UnknownT20181243148.117.4MEDIUM

By match phase

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

middleT20831526.259.61.948.1LOW

Bowling

middleT20157209128.017.4MEDIUM
deathT203671211.835.5LOW

Against pace and spin

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

PACET20716464.034.80.065.2LOW

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.