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K Juma 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.

overallT205691.566.711.155.6LOW
overallT20373358285.812.8HIGH

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

BahrainT2060105210.552.5LOW
MalawiT20483053.86.0LOW
GermanyT20463935.113.0LOW

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

TCA Oval, BlantyreT2010614458.228.8LOW
Harare Sports ClubT207210258.520.4LOW
Achimota Senior Secondary School B Field, AccraT20572562.64.2LOW
Takashinga Sports Club, Highfield, HarareT20483744.69.3LOW
University of Dar-es-Salaam GroundT20422032.96.7LOW

By country

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

Bowling

UnknownT20301256235.111.1MEDIUM
ZimbabweT207210258.520.4LOW

By match phase

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

Bowling

powerplayT2021020065.733.3MEDIUM
deathT20145150216.27.1LOW

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.