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TH Semau 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.

overallT201222482.445.84.270.8LOW
overallT20209168114.815.3MEDIUM

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

VanuatuT20785844.514.5LOW
Papua New GuineaT20545135.717.0LOW
JapanT20363515.835.0LOW

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

Amini Park, Port MoresbyT20665354.810.6LOW
Albert Park 1, SuvaT20414226.121.0LOW
Albert Park 2, SuvaT20362113.521.0LOW
N'Du Stadium, Noumea, New CaledoniaT20362634.38.7LOW

By country

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

UnknownT201222482.445.84.270.8LOW

Bowling

UnknownT20209168114.815.3MEDIUM

By match phase

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

middleT20922383.757.95.363.2LOW

Bowling

middleT201259954.819.8LOW
deathT20846964.911.5LOW

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.