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S Singh 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.

overallT204767766717.4101.512.146.5HIGH

Why we like it

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

  • Bowling type: PACE (T20)HIGH sample

    371 runs off 338 balls in 38 T20 matches — strike rate 109.8 vs 101.5 overall, average 24.7 vs 17.4 overall.

  • Venue: Sikh Union Club Ground, Nairobi (T20)MEDIUM sample

    187 runs off 135 balls in 9 T20 matches — strike rate 138.5 vs 101.5 overall, average 26.7 vs 17.4 overall.

  • Phase: powerplay (T20)MEDIUM sample

    275 runs off 278 balls in 29 T20 matches — strike rate 98.9 vs 101.5 overall, average 34.4 vs 17.4 overall.

Risks

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

  • Venue: Gymkhana Club Ground, Nairobi (T20)MEDIUM sample

    124 runs off 146 balls in 12 T20 matches — strike rate 84.9 vs 101.5 overall, average 13.8 vs 17.4 overall.

  • Bowling type: UNKNOWN (T20)MEDIUM sample

    128 runs off 142 balls in 24 T20 matches — strike rate 90.1 vs 101.5 overall, average 12.8 vs 17.4 overall.

  • Opposition: Uganda (T20)LOW sample

    51 runs off 77 balls in 8 T20 matches — strike rate 66.2 vs 101.5 overall, average 8.5 vs 17.4 overall.

  • Venue: Entebbe Cricket Oval (T20)LOW sample

    51 runs off 76 balls in 5 T20 matches — strike rate 67.1 vs 101.5 overall, average 10.2 vs 17.4 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.

NigeriaT20813412316.8108.913.841.5MEDIUM
RwandaT20710310320.6100.07.842.7LOW
UgandaT20851778.566.27.863.6LOW
BotswanaT203454615.097.88.750.0LOW
NamibiaT202424621.091.310.950.0LOW
TanzaniaT202444022.0110.012.540.0LOW
ZimbabweT203334011.082.510.050.0LOW
MalawiT202543854.0142.123.736.8LOW
Sierra LeoneT201453445.0132.417.635.3LOW

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.

Gymkhana Club Ground, NairobiT201212414613.884.95.549.3MEDIUM
Sikh Union Club Ground, NairobiT20918713526.7138.519.334.1MEDIUM
Entebbe Cricket OvalT205517610.267.16.657.9LOW
Willowmoore Park, BenoniT203735936.5123.716.942.4LOW
Harare Sports ClubT203425314.079.27.549.1LOW
Gahanga B Ground, RwandaT202473923.5120.515.438.5LOW
United Cricket Club Ground, WindhoekT203363812.094.713.247.4LOW

By country

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

UnknownT204463561417.6103.412.546.3HIGH
ZimbabweT203425314.079.27.549.1LOW

By match phase

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

middleT203033233513.899.19.340.9HIGH
powerplayT202927527834.498.915.155.4MEDIUM
deathT209705410.0129.614.835.2LOW

Against pace and spin

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

PACET203837133824.7109.815.147.3HIGH
SPINT202517818712.795.27.042.8MEDIUM
UNKNOWNT202412814212.890.112.049.3MEDIUM

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.