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Nasrulla Rana betting stats, splits & projections

Bowler

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.

overallT203124519813.6123.715.240.9MEDIUM
overallT20713962448.121.9HIGH

Why we like it

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

  • Phase: death (T20)MEDIUM sample

    166 runs off 126 balls in 25 T20 matches — strike rate 131.7 vs 123.7 overall, average 13.8 vs 13.6 overall.

  • Bowling type: PACE (T20)LOW sample

    155 runs off 101 balls in 23 T20 matches — strike rate 153.5 vs 123.7 overall, average 19.4 vs 13.6 overall.

Risks

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

  • Venue: Bayuemas Oval, Kuala Lumpur (T20)LOW sample

    54 runs off 61 balls in 6 T20 matches — strike rate 88.5 vs 123.7 overall, average 18.0 vs 13.6 overall.

  • Bowling type: SPIN (T20)LOW sample

    51 runs off 68 balls in 16 T20 matches — strike rate 75.0 vs 123.7 overall, average 6.4 vs 13.6 overall.

  • Phase: middle (T20)LOW sample

    77 runs off 69 balls in 10 T20 matches — strike rate 111.6 vs 123.7 overall, average 15.4 vs 13.6 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.

Papua New GuineaT202334116.580.59.856.1LOW
BahrainT204503725.0135.116.229.7LOW

Bowling

MalaysiaT2012317358.434.6LOW
QatarT2012015167.525.2LOW
BahrainT208713679.419.4LOW
NamibiaT20483754.67.4LOW
United Arab EmiratesT204885310.628.3LOW
JapanT203668111.368.0LOW
KuwaitT203662010.3—LOW

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.

Bayuemas Oval, Kuala LumpurT206546118.088.56.639.3LOW

Bowling

Singapore National Cricket GroundT20158218118.319.8MEDIUM
Mission Road Ground, Mong Kok, Hong KongT2014220378.629.0LOW
Mulpani Cricket GroundT208713569.322.5LOW
Bayuemas Oval, Kuala LumpurT207811678.916.6LOW
Namibia Cricket Ground, WindhoekT20787375.610.4LOW
University of Doha for Science and TechnologyT20484735.915.7LOW

By country

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

UnknownT203124519813.6123.715.240.9MEDIUM

Bowling

UnknownT20713962448.121.9HIGH

By match phase

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

deathT202516612613.8131.715.134.9MEDIUM
middleT2010776915.4111.615.950.7LOW

Bowling

middleT20408519217.624.7HIGH
deathT20191288189.016.0MEDIUM
powerplayT2011415558.231.0LOW

Against pace and spin

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

PACET202315510119.4153.519.836.6LOW
SPINT201651686.475.07.454.4LOW

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.