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Saif-Ul Islam 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.

overallT20515812439.5127.414.533.9MEDIUM

Why we like it

Splits where Saif-Ul Islam scores materially faster or lasts materially longer than their own baseline in the same format.

  • Opposition: Gibraltar (T20)LOW sample

    91 runs off 63 balls in 1 T20 match — strike rate 144.4 vs 127.4 overall, not yet dismissed vs 39.5 overall.

  • Venue: Koge Cricket Club (T20)LOW sample

    91 runs off 63 balls in 1 T20 match — strike rate 144.4 vs 127.4 overall, not yet dismissed vs 39.5 overall.

Risks

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

  • Venue: Botkyrka Cricket Center, Stockholm (T20)LOW sample

    67 runs off 61 balls in 4 T20 matches — strike rate 109.8 vs 127.4 overall, average 16.8 vs 39.5 overall.

  • Phase: powerplay (T20)LOW sample

    76 runs off 65 balls in 5 T20 matches — strike rate 116.9 vs 127.4 overall, average 76.0 vs 39.5 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.

GibraltarT2019163—144.414.328.6LOW
AustriaT202394219.592.914.345.2LOW

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.

Koge Cricket ClubT2019163—144.414.328.6LOW
Botkyrka Cricket Center, StockholmT204676116.8109.814.839.3LOW

By country

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

UnknownT20515812439.5127.414.533.9MEDIUM

By match phase

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

powerplayT205766576.0116.913.838.5LOW
middleT204544218.0128.614.331.0LOW

Against pace and spin

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

PACET205545527.098.27.338.2LOW
SPINT203593729.5159.521.629.7LOW
UNKNOWNT2024532—140.618.831.3LOW

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.