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Javed Hina 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.

overallT202124029117.182.58.949.5MEDIUM
overallT206505.0—LOW

Why we like it

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

  • Opposition: Denmark (T20)LOW sample

    90 runs off 67 balls in 3 T20 matches — strike rate 134.3 vs 82.5 overall, average 90.0 vs 17.1 overall.

  • Venue: Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1) (T20)LOW sample

    101 runs off 77 balls in 5 T20 matches — strike rate 131.2 vs 82.5 overall, average 33.7 vs 17.1 overall.

  • Venue: Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2) (T20)LOW sample

    59 runs off 64 balls in 5 T20 matches — strike rate 92.2 vs 82.5 overall, average 29.5 vs 17.1 overall.

  • Bowling type: PACE (T20)LOW sample

    89 runs off 86 balls in 14 T20 matches — strike rate 103.5 vs 82.5 overall, average 22.3 vs 17.1 overall.

  • Phase: death (T20)LOW sample

    85 runs off 66 balls in 9 T20 matches — strike rate 128.8 vs 82.5 overall, average 21.3 vs 17.1 overall.

Risks

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

  • Opposition: Qatar (T20)LOW sample

    55 runs off 74 balls in 6 T20 matches — strike rate 74.3 vs 82.5 overall, average 13.8 vs 17.1 overall.

  • Bowling type: SPIN (T20)LOW sample

    47 runs off 85 balls in 15 T20 matches — strike rate 55.3 vs 82.5 overall, average 9.4 vs 17.1 overall.

  • Phase: powerplay (T20)LOW sample

    41 runs off 76 balls in 7 T20 matches — strike rate 53.9 vs 82.5 overall, average 20.5 vs 17.1 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.

QatarT206557413.874.34.139.2LOW
DenmarkT203906790.0134.317.934.3LOW
ChinaT20215437.534.92.367.4LOW
United Arab EmiratesT20314394.735.90.071.8LOW
BahrainT204373518.5105.717.145.7LOW

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.

Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T2051017733.7131.220.840.3LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T205596429.592.26.337.5LOW
Selangor Turf Club, Kuala LumpurT20217478.536.22.166.0LOW
West End Park International Cricket Stadium, DohaT20426468.756.52.247.8LOW
YSD-UKM Cricket Oval, BangiT204344211.381.09.554.8LOW

By country

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

UnknownT202124029117.182.58.949.5MEDIUM

By match phase

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

middleT201511414914.376.56.749.0MEDIUM
powerplayT207417620.553.95.364.5LOW
deathT209856621.3128.818.233.3LOW

Against pace and spin

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

UNKNOWNT201410412020.886.710.046.7MEDIUM
PACET2014898622.3103.512.843.0LOW
SPINT201547859.455.33.560.0LOW

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.