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R Gaznavi 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.

overallT201726327517.595.610.948.7MEDIUM

Why we like it

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

  • Venue: Singapore National Cricket Ground (T20)LOW sample

    100 runs off 75 balls in 4 T20 matches — strike rate 133.3 vs 95.6 overall, average 33.3 vs 17.5 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    93 runs off 73 balls in 8 T20 matches — strike rate 127.4 vs 95.6 overall, average 31.0 vs 17.5 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    107 runs off 128 balls in 13 T20 matches — strike rate 83.6 vs 95.6 overall, average 13.4 vs 17.5 overall.

  • Venue: Indian Association Ground, Singapore (T20)LOW sample

    51 runs off 63 balls in 4 T20 matches — strike rate 81.0 vs 95.6 overall, average 12.8 vs 17.5 overall.

  • Bowling type: PACE (T20)LOW sample

    63 runs off 74 balls in 14 T20 matches — strike rate 85.1 vs 95.6 overall, average 15.8 vs 17.5 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.

MalaysiaT202364918.073.54.151.0LOW
Hong KongT203384312.788.47.048.8LOW
PhilippinesT2014441—107.312.231.7LOW
OmanT201493349.0148.521.230.3LOW

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.

Singapore National Cricket GroundT2041007533.3133.320.042.7LOW
Terdthai Cricket Ground, BangkokT204606820.088.210.345.6LOW
Indian Association Ground, SingaporeT204516312.881.06.352.4LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T203354111.785.49.853.7LOW

By country

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

UnknownT201726327517.595.610.948.7MEDIUM

By match phase

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

middleT201112213415.391.06.743.3MEDIUM
powerplayT201511912419.896.014.558.9MEDIUM

Against pace and spin

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

SPINT201310712813.483.68.650.8MEDIUM
PACET2014637415.885.18.150.0LOW
UNKNOWNT208937331.0127.417.843.8LOW

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.