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Saqlain Arshad 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.

overallT203558946217.8127.519.545.7HIGH
overallT2013215787.119.6LOW

Why we like it

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

  • Bowling type: PACE (T20)HIGH sample

    438 runs off 310 balls in 32 T20 matches — strike rate 141.3 vs 127.5 overall, average 29.2 vs 17.8 overall.

  • Opposition: Maldives (T20)LOW sample

    106 runs off 61 balls in 2 T20 matches — strike rate 173.8 vs 127.5 overall, average 106.0 vs 17.8 overall.

Risks

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

  • Opposition: Bahrain (T20)LOW sample

    98 runs off 92 balls in 7 T20 matches — strike rate 106.5 vs 127.5 overall, average 14.0 vs 17.8 overall.

  • Bowling type: SPIN (T20)LOW sample

    110 runs off 105 balls in 20 T20 matches — strike rate 104.8 vs 127.5 overall, average 8.5 vs 17.8 overall.

  • Phase: middle (T20)LOW sample

    78 runs off 80 balls in 13 T20 matches — strike rate 97.5 vs 127.5 overall, average 6.5 vs 17.8 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.

Saudi ArabiaT2071239317.6132.322.652.7LOW
BahrainT207989214.0106.515.251.1LOW
Hong KongT206866417.2134.420.334.4LOW
MaldivesT20210661106.0173.826.232.8LOW
KuwaitT204494512.3108.913.348.9LOW
United Arab EmiratesT203413513.7117.117.154.3LOW

Bowling

Saudi ArabiaT20607117.171.0LOW
Hong KongT20363245.38.0LOW

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.

West End Park International Cricket Stadium, DohaT202031525316.6124.517.845.1MEDIUM
University of Doha for Science and TechnologyT2061209224.0130.420.745.7LOW
ICC Academy, DubaiT205806616.0121.221.253.0LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T202503525.0142.922.931.4LOW

Bowling

West End Park International Cricket Stadium, DohaT2010212767.521.2LOW

By country

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

UnknownT203558946217.8127.519.545.7HIGH

Bowling

UnknownT2013215787.119.6LOW

By match phase

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

powerplayT203350737924.1133.821.446.4HIGH
middleT201378806.597.511.343.8LOW

Bowling

middleT20849847.024.5LOW

Against pace and spin

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

PACET203243831029.2141.322.943.9HIGH
SPINT20201101058.5104.811.443.8LOW
UNKNOWNT201141478.287.214.961.7LOW

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.