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Imal Zuwak 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.

overallT203665761918.8106.111.841.4HIGH
overallT206505.0—LOW

Why we like it

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

  • Opposition: Finland (T20)LOW sample

    74 runs off 63 balls in 4 T20 matches — strike rate 117.5 vs 106.1 overall, average 18.5 vs 18.8 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    97 runs off 72 balls in 10 T20 matches — strike rate 134.7 vs 106.1 overall, average 32.3 vs 18.8 overall.

Risks

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

  • Opposition: Indonesia (T20)MEDIUM sample

    120 runs off 124 balls in 8 T20 matches — strike rate 96.8 vs 106.1 overall, average 15.0 vs 18.8 overall.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    120 runs off 124 balls in 8 T20 matches — strike rate 96.8 vs 106.1 overall, average 15.0 vs 18.8 overall.

  • Bowling type: SPIN (T20)MEDIUM sample

    238 runs off 244 balls in 26 T20 matches — strike rate 97.5 vs 106.1 overall, average 14.9 vs 18.8 overall.

  • Opposition: Austria (T20)LOW sample

    59 runs off 67 balls in 3 T20 matches — strike rate 88.1 vs 106.1 overall, average 19.7 vs 18.8 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.

IndonesiaT20812012415.096.88.944.4MEDIUM
NorwayT205948518.8110.615.345.9LOW
AustriaT203596719.788.110.450.7LOW
DenmarkT202736773.0109.011.941.8LOW
FinlandT204746318.5117.511.141.3LOW
FranceT202625831.0106.912.136.2LOW
PortugalT203625720.7108.88.822.8LOW

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.

Botkyrka Cricket Center, StockholmT20919918922.1105.312.239.2MEDIUM
Udayana Cricket GroundT20812012415.096.88.944.4MEDIUM
Ishoj Cricket Club, VejledalenT202715435.5131.513.035.2LOW
Happy Valley Ground 2T204425110.582.45.941.2LOW
Stubberudmyra Cricket Ground, OsloT202565128.0109.815.745.1LOW
Svanholm Park, BrondbyT2014746—102.28.741.3LOW
Bayer Uerdingen Cricket GroundT204593514.8168.628.637.1LOW
Tikkurila Cricket GroundT20329339.787.99.145.5LOW

By country

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

UnknownT203665761918.8106.111.841.4HIGH

By match phase

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

powerplayT203234634421.6100.612.547.4HIGH
middleT202027924919.9112.010.432.9MEDIUM

Against pace and spin

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

PACET203532230320.1106.313.544.2HIGH
SPINT202623824414.997.58.240.2MEDIUM
UNKNOWNT2010977232.3134.716.733.3LOW

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.