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Adil Butt 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.

overallT202487249239.6177.229.741.1HIGH
overallT20462641308.321.4HIGH

Why we like it

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

  • Bowling type: PACE (T20)HIGH sample

    613 runs off 339 balls in 23 T20 matches — strike rate 180.8 vs 177.2 overall, average 55.7 vs 39.6 overall.

  • Phase: powerplay (T20)HIGH sample

    603 runs off 315 balls in 23 T20 matches — strike rate 191.4 vs 177.2 overall, average 43.1 vs 39.6 overall.

  • Opposition: Mozambique (T20)MEDIUM sample

    393 runs off 164 balls in 9 T20 matches — strike rate 239.6 vs 177.2 overall, average 43.7 vs 39.6 overall.

  • Venue: Malkerns Country Club oval (T20)MEDIUM sample

    483 runs off 217 balls in 10 T20 matches — strike rate 222.6 vs 177.2 overall, average 53.7 vs 39.6 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    180 runs off 83 balls in 11 T20 matches — strike rate 216.9 vs 177.2 overall, average 25.7 vs 39.6 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    202 runs off 145 balls in 10 T20 matches — strike rate 139.3 vs 177.2 overall, average 25.3 vs 39.6 overall.

  • Opposition: Nigeria (T20)LOW sample

    138 runs off 97 balls in 2 T20 matches — strike rate 142.3 vs 177.2 overall, average 138.0 vs 39.6 overall.

  • Venue: Integrated Polytechnic Regional Centre (T20)LOW sample

    93 runs off 62 balls in 4 T20 matches — strike rate 150.0 vs 177.2 overall, average 23.3 vs 39.6 overall.

  • Bowling type: SPIN (T20)LOW sample

    79 runs off 70 balls in 9 T20 matches — strike rate 112.9 vs 177.2 overall, average 19.8 vs 39.6 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.

MozambiqueT20939316443.7239.642.738.4MEDIUM
NigeriaT20213897138.0142.323.745.4LOW
LesothoT20211165111.0170.826.232.3LOW
St HelenaT202885544.0160.021.834.5LOW
TanzaniaT202343417.0100.011.847.1LOW

Bowling

MozambiqueT2016226799.929.7MEDIUM
TanzaniaT20486748.416.8LOW
NigeriaT204282311.727.3LOW
St HelenaT20424626.623.0LOW
Sierra LeoneT20364948.212.3LOW

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.

Malkerns Country Club ovalT201048321753.7222.638.236.4MEDIUM
Integrated Polytechnic Regional CentreT204936223.3150.027.441.9LOW
Nigeria Cricket Federation Oval 1, AbujaT2018858—151.724.146.6LOW
Achimota Senior Secondary School B Field, AccraT203594719.7125.523.453.2LOW
University of Lagos Cricket OvalT201814381.0188.427.932.6LOW
Gahanga International Cricket Stadium. RwandaT201313031.0103.313.346.7LOW

Bowling

Malkerns Country Club ovalT20168272149.719.4MEDIUM
Integrated Polytechnic Regional CentreT20849957.119.8LOW
Achimota Senior Secondary School B Field, AccraT20547338.124.3LOW
Nigeria Cricket Federation Oval 2, AbujaT20485336.617.7LOW

By country

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

UnknownT202487249239.6177.229.741.1HIGH

Bowling

UnknownT20462641308.321.4HIGH

By match phase

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

powerplayT202360331543.1191.433.042.2HIGH
middleT201020214525.3139.321.440.0MEDIUM
deathT2026732—209.434.434.4LOW

Bowling

powerplayT2022832088.440.0MEDIUM
deathT20132194168.812.1LOW
middleT2010212767.521.2LOW

Against pace and spin

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

PACET202361333955.7180.830.739.8HIGH
UNKNOWNT20111808325.7216.938.644.6LOW
SPINT209797019.8112.914.342.9LOW

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.