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Y Jalloh 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.

overallT202328432314.287.98.445.5HIGH

Why we like it

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

  • Opposition: Zambia (T20)LOW sample

    117 runs off 107 balls in 3 T20 matches — strike rate 109.3 vs 87.9 overall, average 39.0 vs 14.2 overall.

  • Opposition: Ivory Coast (T20)LOW sample

    77 runs off 63 balls in 2 T20 matches — strike rate 122.2 vs 87.9 overall, not yet dismissed vs 14.2 overall.

  • Bowling type: SPIN (T20)LOW sample

    69 runs off 71 balls in 10 T20 matches — strike rate 97.2 vs 87.9 overall, average 23.0 vs 14.2 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    63 runs off 61 balls in 10 T20 matches — strike rate 103.3 vs 87.9 overall, average 15.8 vs 14.2 overall.

  • Phase: middle (T20)LOW sample

    111 runs off 103 balls in 9 T20 matches — strike rate 107.8 vs 87.9 overall, average 22.2 vs 14.2 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    152 runs off 191 balls in 22 T20 matches — strike rate 79.6 vs 87.9 overall, average 11.7 vs 14.2 overall.

  • Phase: powerplay (T20)MEDIUM sample

    149 runs off 201 balls in 21 T20 matches — strike rate 74.1 vs 87.9 overall, average 11.5 vs 14.2 overall.

  • Opposition: Rwanda (T20)LOW sample

    39 runs off 64 balls in 4 T20 matches — strike rate 60.9 vs 87.9 overall, average 9.8 vs 14.2 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.

ZambiaT20311710739.0109.310.333.6LOW
RwandaT20439649.860.96.356.3LOW
Ivory CoastT2027763—122.29.527.0LOW
NigeriaT20628505.656.06.060.0LOW

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.

Nigeria Cricket Federation Oval 1, AbujaT201017219317.289.18.844.0MEDIUM
Tafawa Balewa Square Cricket Oval, LagosT204596929.585.54.339.1LOW
Botswana Cricket Association Oval 2, GaboroneT203403820.0105.313.244.7LOW

By country

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

UnknownT202328432314.287.98.445.5HIGH

By match phase

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

powerplayT202114920111.574.18.053.7MEDIUM
middleT20911110322.2107.88.733.0LOW

Against pace and spin

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

PACET202215219111.779.68.450.3MEDIUM
SPINT2010697123.097.27.038.0LOW
UNKNOWNT2010636115.8103.39.839.3LOW

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.