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Hamza Dar 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.

overallT202654633832.1161.520.130.2HIGH
overallT208410747.626.8LOW

Why we like it

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

  • Bowling type: UNKNOWN (T20)MEDIUM sample

    218 runs off 134 balls in 17 T20 matches — strike rate 162.7 vs 161.5 overall, average 54.5 vs 32.1 overall.

  • Opposition: Croatia (T20)LOW sample

    277 runs off 117 balls in 7 T20 matches — strike rate 236.8 vs 161.5 overall, average 277.0 vs 32.1 overall.

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

    171 runs off 82 balls in 5 T20 matches — strike rate 208.5 vs 161.5 overall, average 171.0 vs 32.1 overall.

  • Bowling type: PACE (T20)LOW sample

    197 runs off 97 balls in 17 T20 matches — strike rate 203.1 vs 161.5 overall, average 32.8 vs 32.1 overall.

  • Phase: death (T20)LOW sample

    241 runs off 92 balls in 10 T20 matches — strike rate 262.0 vs 161.5 overall, average 48.2 vs 32.1 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    277 runs off 219 balls in 21 T20 matches — strike rate 126.5 vs 161.5 overall, average 25.2 vs 32.1 overall.

  • Venue: Desert Springs Cricket Ground, Almeria (T20)LOW sample

    108 runs off 96 balls in 7 T20 matches — strike rate 112.5 vs 161.5 overall, average 18.0 vs 32.1 overall.

  • Bowling type: SPIN (T20)LOW sample

    131 runs off 107 balls in 13 T20 matches — strike rate 122.4 vs 161.5 overall, average 18.7 vs 32.1 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.

CroatiaT207277117277.0236.835.922.2LOW
GermanyT202383619.0105.68.341.7LOW
ItalyT202333116.5106.56.532.3LOW

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.

Desert Springs Cricket Ground, AlmeriaT2071089618.0112.59.436.5LOW
Mladost Cricket Ground, ZagrebT20517182171.0208.532.926.8LOW
La Manga Club Top GroundT2041114155.5270.739.019.5LOW
Guernsey Rovers Athletic Club Ground, Port SoifT202443922.0112.810.338.5LOW

By country

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

UnknownT202654633832.1161.520.130.2HIGH

Bowling

UnknownT208410747.626.8LOW

By match phase

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

middleT202127721925.2126.512.332.0MEDIUM
deathT20102419248.2262.040.220.7LOW

Bowling

powerplayT20424937.016.3LOW

Against pace and spin

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

UNKNOWNT201721813454.5162.720.132.1MEDIUM
SPINT201313110718.7122.413.132.7LOW
PACET20171979732.8203.127.824.7LOW

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.