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Shawaal Zulfiqar 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.

overallT201532730021.8109.017.348.3HIGH
overallODI315455.033.34.477.8LOW
overallT204507.5—LOW

Why we like it

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

  • Opposition: Sri Lanka (T20)LOW sample

    148 runs off 115 balls in 4 T20 matches — strike rate 128.7 vs 109.0 overall, average 37.0 vs 21.8 overall.

  • Venue: Rangiri Dambulla International Stadium (T20)LOW sample

    132 runs off 88 balls in 3 T20 matches — strike rate 150.0 vs 109.0 overall, average 44.0 vs 21.8 overall.

  • Phase: middle (T20)LOW sample

    115 runs off 91 balls in 7 T20 matches — strike rate 126.4 vs 109.0 overall, average 19.2 vs 21.8 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    155 runs off 156 balls in 13 T20 matches — strike rate 99.4 vs 109.0 overall, average 15.5 vs 21.8 overall.

  • Phase: powerplay (T20)MEDIUM sample

    208 runs off 207 balls in 15 T20 matches — strike rate 100.5 vs 109.0 overall, average 26.0 vs 21.8 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.

Sri LankaT20414811537.0128.720.940.0LOW
New ZealandT202485124.094.115.752.9LOW
South AfricaT203334211.078.611.961.9LOW
Hong KongT201473547.0134.317.134.3LOW
IrelandT202363318.0109.118.248.5LOW

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.

Rangiri Dambulla International StadiumT2031328844.0150.026.134.1LOW
Dubai International Cricket StadiumT203625420.7114.816.746.3LOW
University Oval, DunedinT202485124.094.115.752.9LOW
National Stadium, KarachiT203334211.078.611.961.9LOW
Clontarf Cricket Club Ground, DublinT202363318.0109.118.248.5LOW
Zhejiang University of Technology Cricket FieldT20216328.050.03.165.6LOW

By country

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

UnknownT201532730021.8109.017.348.3HIGH
UnknownODI315455.033.34.477.8LOW

By match phase

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

powerplayT201520820726.0100.516.955.6MEDIUM
middleT2071159119.2126.417.631.9LOW
powerplayODI315455.033.34.477.8LOW

Against pace and spin

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

SPINT201315515615.599.413.546.2MEDIUM
PACET201511911323.8105.317.754.0LOW
PACEODI314394.735.95.179.5LOW
UNKNOWNT2065331—171.035.538.7LOW

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.