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Mohammad Ihsan 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.

overallT202680145536.4176.027.037.1HIGH

Why we like it

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

  • Opposition: Croatia (T20)MEDIUM sample

    408 runs off 207 balls in 8 T20 matches — strike rate 197.1 vs 176.0 overall, average 58.3 vs 36.4 overall.

  • Venue: La Manga Club Top Ground (T20)MEDIUM sample

    351 runs off 163 balls in 5 T20 matches — strike rate 215.3 vs 176.0 overall, average 117.0 vs 36.4 overall.

  • Bowling type: UNKNOWN (T20)MEDIUM sample

    335 runs off 163 balls in 17 T20 matches — strike rate 205.5 vs 176.0 overall, average 55.8 vs 36.4 overall.

  • Phase: middle (T20)LOW sample

    208 runs off 97 balls in 9 T20 matches — strike rate 214.4 vs 176.0 overall, average 52.0 vs 36.4 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    362 runs off 225 balls in 24 T20 matches — strike rate 160.9 vs 176.0 overall, average 25.9 vs 36.4 overall.

  • Phase: powerplay (T20)MEDIUM sample

    460 runs off 282 balls in 20 T20 matches — strike rate 163.1 vs 176.0 overall, average 30.7 vs 36.4 overall.

  • Venue: Mladost Cricket Ground, Zagreb (T20)LOW sample

    125 runs off 80 balls in 5 T20 matches — strike rate 156.3 vs 176.0 overall, average 25.0 vs 36.4 overall.

  • Bowling type: SPIN (T20)LOW sample

    104 runs off 67 balls in 10 T20 matches — strike rate 155.2 vs 176.0 overall, average 52.0 vs 36.4 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.

CroatiaT20840820758.3197.127.531.4MEDIUM
Isle of ManT2051568931.2175.330.339.3LOW
JerseyT202683668.0188.925.022.2LOW
FinlandT202583429.0170.635.350.0LOW

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.

La Manga Club Top GroundT205351163117.0215.328.825.2MEDIUM
Mladost Cricket Ground, ZagrebT2051258025.0156.323.840.0LOW
La Manga Club Bottom GroundT2041357733.8175.331.239.0LOW
King George V Sports Ground, CastelT202403920.0102.617.956.4LOW
Guernsey Rovers Athletic Club Ground, Port SoifT202623431.0182.435.344.1LOW

By country

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

UnknownT202680145536.4176.027.037.1HIGH

By match phase

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

powerplayT202046028230.7163.127.342.9MEDIUM
middleT2092089752.0214.429.926.8LOW
deathT2071337644.3175.022.428.9LOW

Against pace and spin

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

PACET202436222525.9160.924.940.0MEDIUM
UNKNOWNT201733516355.8205.530.129.4MEDIUM
SPINT20101046752.0155.226.946.3LOW

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.