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Rizwan 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.

overallT204227022310.0121.112.138.6MEDIUM
overallT20196922351396.816.1HIGH

Why we like it

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

  • Bowling type: PACE (T20)MEDIUM sample

    177 runs off 135 balls in 33 T20 matches — strike rate 131.1 vs 121.1 overall, average 9.8 vs 10.0 overall.

  • Phase: death (T20)MEDIUM sample

    228 runs off 174 balls in 40 T20 matches — strike rate 131.0 vs 121.1 overall, average 9.1 vs 10.0 overall.

Risks

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

  • Bowling type: SPIN (T20)LOW sample

    65 runs off 69 balls in 21 T20 matches — strike rate 94.2 vs 121.1 overall, average 8.1 vs 10.0 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.

QatarT207443511.0125.78.622.9LOW
IndonesiaT204443022.0146.716.743.3LOW

Bowling

MalaysiaT20246281156.918.7MEDIUM
QatarT2019231759.963.4MEDIUM
IndonesiaT20162120104.412.0MEDIUM
MalawiT20158152155.810.1MEDIUM
KuwaitT20156201107.720.1MEDIUM
OmanT2012617688.422.0LOW
Saudi ArabiaT20126158107.515.8LOW
Hong KongT2012013776.819.6LOW
United Arab EmiratesT2011914537.348.3LOW
SingaporeT20113107115.79.7LOW
TanzaniaT208411578.216.4LOW
RwandaT20765894.66.4LOW
CanadaT20485466.89.0LOW
KenyaT20484365.47.2LOW
BhutanT20421842.64.5LOW
ThailandT20392343.55.8LOW
CambodiaT20363455.76.8LOW

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, DohaT209945523.5170.916.416.4LOW
Udayana Cricket GroundT204443022.0146.716.743.3LOW

Bowling

Bayuemas Oval, Kuala LumpurT20318315265.912.1MEDIUM
West End Park International Cricket Stadium, DohaT20281376168.023.5MEDIUM
Gahanga International Cricket Stadium. RwandaT20187173175.610.2MEDIUM
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T20186252128.121.0MEDIUM
Udayana Cricket GroundT20162120104.412.0MEDIUM
TCA Oval, BlantyreT20131167127.613.9LOW
ICC Academy, DubaiT2011911966.019.8LOW
Mission Road Ground, Mong Kok, Hong KongT209112248.030.5LOW
Singapore National Cricket GroundT20909166.115.2LOW
UKM-YSD Cricket Oval, BangiT208912578.417.9LOW
Mulpani Cricket GroundT20729267.715.3LOW
Terdthai Cricket Ground, BangkokT20696045.215.0LOW
Gymkhana Club Ground, NairobiT20484365.47.2LOW
University of Doha for Science and TechnologyT20486558.113.0LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T204273210.436.5LOW

By country

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

UnknownT204227022310.0121.112.138.6MEDIUM

Bowling

UnknownT20196922351396.816.1HIGH

By match phase

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

deathT20402281749.1131.013.235.1MEDIUM
middleT2012424921.085.78.251.0LOW

Bowling

powerplayT20822839436.119.5HIGH
deathT20675842677.512.6HIGH
middleT20472554297.019.1HIGH

Against pace and spin

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

PACET20331771359.8131.113.335.6MEDIUM
SPINT202165698.194.28.743.5LOW

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.