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AS Samra betting stats, splits & projections

Batter

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.

overallT202762045729.5135.717.737.9HIGH
overallT203668011.3—LOW

Why we like it

Splits where AS Samra scores materially faster or lasts materially longer than their own baseline in the same format.

  • Opposition: Indonesia (T20)MEDIUM sample

    346 runs off 216 balls in 11 T20 matches — strike rate 160.2 vs 135.7 overall, average 38.4 vs 29.5 overall.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    316 runs off 192 balls in 13 T20 matches — strike rate 164.6 vs 135.7 overall, average 28.7 vs 29.5 overall.

  • Venue: Yeonhui Cricket Ground, Incheon (T20)MEDIUM sample

    193 runs off 143 balls in 6 T20 matches — strike rate 135.0 vs 135.7 overall, average 48.3 vs 29.5 overall.

  • Phase: middle (T20)MEDIUM sample

    271 runs off 167 balls in 11 T20 matches — strike rate 162.3 vs 135.7 overall, average 45.2 vs 29.5 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    127 runs off 73 balls in 10 T20 matches — strike rate 174.0 vs 135.7 overall, average 63.5 vs 29.5 overall.

Risks

Splits pointing the other way — the conditions and opponents where the record is worse than usual.

  • Bowling type: PACE (T20)MEDIUM sample

    269 runs off 227 balls in 24 T20 matches — strike rate 118.5 vs 135.7 overall, average 24.5 vs 29.5 overall.

  • Phase: powerplay (T20)MEDIUM sample

    307 runs off 257 balls in 25 T20 matches — strike rate 119.5 vs 135.7 overall, average 23.6 vs 29.5 overall.

  • Venue: Amini Park, Port Moresby (T20)LOW sample

    55 runs off 72 balls in 4 T20 matches — strike rate 76.4 vs 135.7 overall, average 27.5 vs 29.5 overall.

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.

IndonesiaT201134621638.4160.221.332.9MEDIUM
South KoreaT20817713425.3132.115.732.1MEDIUM
JapanT203373818.597.415.855.3LOW
Papua New GuineaT2012230—73.36.756.7LOW

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.

Udayana Cricket GroundT201331619228.7164.623.435.9MEDIUM
Yeonhui Cricket Ground, IncheonT20619314348.3135.013.325.9MEDIUM
Amini Park, Port MoresbyT204557227.576.411.163.9LOW
Sano International Cricket Ground 2T203464115.3112.217.139.0LOW

By country

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

UnknownT202661044830.5136.217.637.5HIGH

By match phase

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

powerplayT202530725723.6119.516.748.2MEDIUM
middleT201127116745.2162.320.425.1MEDIUM
deathT203423321.0127.312.121.2LOW

Against pace and spin

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

PACET202426922724.5118.516.345.4MEDIUM
SPINT201722415728.0142.716.632.5MEDIUM
UNKNOWNT20101277363.5174.024.726.0LOW

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.