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S Gill 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.

overallT202135228427.1123.912.332.7MEDIUM
overallT20530448345.113.2HIGH

Why we like it

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

  • Phase: death (T20)LOW sample

    201 runs off 113 balls in 15 T20 matches — strike rate 177.9 vs 123.9 overall, average 25.1 vs 27.1 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    122 runs off 141 balls in 16 T20 matches — strike rate 86.5 vs 123.9 overall, average 24.4 vs 27.1 overall.

  • Opposition: Nigeria (T20)LOW sample

    58 runs off 61 balls in 2 T20 matches — strike rate 95.1 vs 123.9 overall, not yet dismissed vs 27.1 overall.

  • Venue: Entebbe Cricket Oval (T20)LOW sample

    99 runs off 99 balls in 5 T20 matches — strike rate 100.0 vs 123.9 overall, average 33.0 vs 27.1 overall.

  • Bowling type: SPIN (T20)LOW sample

    84 runs off 76 balls in 13 T20 matches — strike rate 110.5 vs 123.9 overall, average 21.0 vs 27.1 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.

NigeriaT2025861—95.14.931.1LOW
RwandaT203604560.0133.315.628.9LOW
ZimbabweT202324016.080.05.040.0LOW

Bowling

NigeriaT20725534.618.3LOW
RwandaT20724453.78.8LOW
BahrainT20485026.325.0LOW
Sierra LeoneT20483564.45.8LOW
UgandaT20425227.426.0LOW
ZimbabweT20425517.955.0LOW
SeychellesT20362023.310.0LOW

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.

Entebbe Cricket OvalT205999933.0100.06.133.3LOW
Gymkhana Club Ground, NairobiT205786319.5123.817.538.1LOW
Harare Sports ClubT203313415.591.25.938.2LOW
Botswana Cricket Association Oval 1, GaboroneT202483348.0145.518.230.3LOW

Bowling

Entebbe Cricket OvalT2010810755.921.4LOW
Gymkhana Club Ground, NairobiT20969646.024.0LOW
Botswana Cricket Association Oval 1, GaboroneT207233132.82.5LOW
Harare Sports ClubT20566817.368.0LOW
Botswana Cricket Association Oval 2, GaboroneT20543644.09.0LOW
Gahanga B Ground, RwandaT20483944.99.8LOW
Takashinga Sports Club, Highfield, HarareT20484015.040.0LOW
Ruaraka Sports Club Ground, NairobiT20362323.811.5LOW

By country

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

UnknownT201832125029.2128.413.232.0MEDIUM
ZimbabweT203313415.591.25.938.2LOW

Bowling

UnknownT20474380334.811.5HIGH
ZimbabweT20566817.368.0LOW

By match phase

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

middleT201612214124.486.55.037.6MEDIUM
deathT201520111325.1177.921.221.2LOW
powerplayT2042930—96.713.353.3LOW

Bowling

powerplayT20372272224.412.4HIGH
deathT2010413287.616.5LOW
middleT20544444.911.0LOW

Against pace and spin

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

PACET201919915728.4126.814.631.8MEDIUM
SPINT2013847621.0110.59.236.8LOW
UNKNOWNT209695134.5135.39.829.4LOW

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.