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Gull Feroza 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.

overallT203550147116.7106.416.147.6HIGH
overallODI421355.360.05.768.6LOW

Why we like it

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

  • Bowling type: PACE (T20)MEDIUM sample

    251 runs off 190 balls in 29 T20 matches — strike rate 132.1 vs 106.4 overall, average 19.3 vs 16.7 overall.

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

    149 runs off 119 balls in 4 T20 matches — strike rate 125.2 vs 106.4 overall, average 49.7 vs 16.7 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    229 runs off 258 balls in 23 T20 matches — strike rate 88.8 vs 106.4 overall, average 16.4 vs 16.7 overall.

  • Opposition: West Indies (T20)LOW sample

    66 runs off 87 balls in 6 T20 matches — strike rate 75.9 vs 106.4 overall, average 16.5 vs 16.7 overall.

  • Venue: National Stadium, Karachi (T20)LOW sample

    98 runs off 108 balls in 6 T20 matches — strike rate 90.7 vs 106.4 overall, average 24.5 vs 16.7 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.

West IndiesT206668716.575.99.257.5LOW
United Arab EmiratesT2016255—112.714.541.8LOW
NetherlandsT2016352—121.217.332.7LOW
South AfricaT20746516.690.213.754.9LOW
EnglandT203505016.7100.016.054.0LOW
NepalT201573557.0162.928.634.3LOW
Sri LankaT20430347.588.28.847.1LOW
ZimbabweT202463223.0143.828.140.6LOW

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 StadiumT20414911949.7125.218.539.5LOW
National Stadium, KarachiT2069810824.590.713.051.9LOW
County Ground, BristolT2016352—121.217.332.7LOW
Headingley, LeedsT202313131.0100.016.154.8LOW
Multan Cricket StadiumT20328319.390.316.158.1LOW

By country

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

UnknownT203449946717.2106.916.347.5HIGH
UnknownODI421355.360.05.768.6LOW

By match phase

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

powerplayT203333831814.7106.317.951.3HIGH
middleT201114614020.9104.312.141.4MEDIUM
powerplayODI421355.360.05.768.6LOW

Against pace and spin

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

SPINT202322925816.488.810.549.2MEDIUM
PACET202925119019.3132.124.244.7MEDIUM

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.