£
ExclusiveFreeBets
.com

Shahzaib Jamil 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.

overallT201937527325.0137.416.534.8MEDIUM

Why we like it

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

  • Opposition: Saudi Arabia (T20)LOW sample

    109 runs off 60 balls in 4 T20 matches — strike rate 181.7 vs 137.4 overall, average 54.5 vs 25.0 overall.

  • Venue: Mission Road Ground, Mong Kok, Hong Kong (T20)LOW sample

    146 runs off 97 balls in 4 T20 matches — strike rate 150.5 vs 137.4 overall, average 36.5 vs 25.0 overall.

  • Venue: West End Park International Cricket Stadium, Doha (T20)LOW sample

    98 runs off 65 balls in 6 T20 matches — strike rate 150.8 vs 137.4 overall, average 49.0 vs 25.0 overall.

  • Bowling type: PACE (T20)LOW sample

    152 runs off 101 balls in 14 T20 matches — strike rate 150.5 vs 137.4 overall, average 38.0 vs 25.0 overall.

  • Phase: death (T20)LOW sample

    146 runs off 82 balls in 11 T20 matches — strike rate 178.0 vs 137.4 overall, average 18.3 vs 25.0 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    171 runs off 144 balls in 17 T20 matches — strike rate 118.8 vs 137.4 overall, average 19.0 vs 25.0 overall.

  • Phase: middle (T20)MEDIUM sample

    208 runs off 169 balls in 15 T20 matches — strike rate 123.1 vs 137.4 overall, average 29.7 vs 25.0 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.

Hong KongT2071219320.2130.116.134.4LOW
Saudi ArabiaT2041096054.5181.723.321.7LOW
KuwaitT201343534.097.114.357.1LOW

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.

Mission Road Ground, Mong Kok, Hong KongT2041469736.5150.521.641.2LOW
West End Park International Cricket Stadium, DohaT206986549.0150.818.529.2LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T203604620.0130.413.030.4LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T204473911.8120.510.335.9LOW

By country

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

UnknownT201937527325.0137.416.534.8MEDIUM

By match phase

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

middleT201520816929.7123.113.035.5MEDIUM
deathT20111468218.3178.024.425.6LOW

Against pace and spin

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

SPINT201717114419.0118.813.238.2MEDIUM
PACET201415210138.0150.518.831.7LOW

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.