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U Bayarjavkhlan 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.

overallT20933815.540.72.569.1LOW
overallT2016919576.927.9MEDIUM

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.

ChinaT2021333—39.43.063.6LOW

Bowling

MyanmarT20425127.325.5LOW
PhilippinesT20365208.7—LOW

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.

Zhejiang University of Technology Cricket FieldT20417588.529.31.772.4LOW

Bowling

Sano International Cricket GroundT20657026.535.0LOW
Bayuemas Oval, Kuala LumpurT20363235.310.7LOW

By country

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

UnknownT20733736.645.22.765.8LOW

Bowling

UnknownT2010412557.225.0LOW
JapanT20657026.535.0LOW

By match phase

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

middleT20522487.345.82.166.7LOW

Bowling

powerplayT2010411336.537.7LOW
middleT20476938.823.0LOW

Against pace and spin

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

SPINT20915523.028.80.075.0LOW

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.