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Ehsan Khan betting stats, splits & projections

Bowler

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.

overallT20411982109.094.37.135.2MEDIUM
overallT20178418411306.214.2HIGH

Why we like it

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

  • Phase: death (T20)MEDIUM sample

    170 runs off 164 balls in 37 T20 matches — strike rate 103.7 vs 94.3 overall, average 8.9 vs 9.0 overall.

  • Bowling type: PACE (T20)LOW sample

    127 runs off 113 balls in 33 T20 matches — strike rate 112.4 vs 94.3 overall, average 7.5 vs 9.0 overall.

Risks

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

  • Bowling type: SPIN (T20)LOW sample

    54 runs off 74 balls in 19 T20 matches — strike rate 73.0 vs 94.3 overall, average 10.8 vs 9.0 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.

Papua New GuineaT203394619.584.82.232.6LOW

Bowling

MalaysiaT20275319247.013.3MEDIUM
KuwaitT20239256136.419.7MEDIUM
QatarT20168180136.413.8MEDIUM
NepalT2013215096.816.7LOW
BahrainT20130122105.612.2LOW
SingaporeT20120126106.312.6LOW
United Arab EmiratesT209610576.615.0LOW
JapanT20729648.024.0LOW
Papua New GuineaT20666155.512.2LOW
ChinaT20482042.55.0LOW
OmanT20483143.97.8LOW
PakistanT20485637.018.7LOW
SamoaT20484315.443.0LOW
UgandaT20483324.116.5LOW
NigeriaT20402673.93.7LOW

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.

Bayuemas Oval, Kuala LumpurT206404610.087.04.332.6LOW
Mission Road Ground, Mong Kok, Hong KongT207523917.3133.315.435.9LOW

Bowling

Mission Road Ground, Mong Kok, Hong KongT20384396246.216.5HIGH
Singapore National Cricket GroundT20234256146.618.3MEDIUM
Bayuemas Oval, Kuala LumpurT20225212225.79.6MEDIUM
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T20168178126.414.8MEDIUM
Mulpani Cricket GroundT20168168106.016.8MEDIUM
Selangor Turf Club, Kuala LumpurT20107120106.712.0LOW
Bulawayo Athletic ClubT20727065.811.7LOW
Namibia Cricket Ground, WindhoekT20708076.911.4LOW
West End Park International Cricket Stadium, DohaT20544034.413.3LOW
YSD-UKM Cricket Oval, BangiT20543253.66.4LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T20486277.88.9LOW
Dubai International Cricket StadiumT20485116.451.0LOW
Queens Sports Club, BulawayoT20443434.611.3LOW
University of Doha for Science and TechnologyT20425838.319.3LOW

By country

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

UnknownT20401982099.094.77.234.9MEDIUM

Bowling

UnknownT20176018131286.214.2HIGH

By match phase

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

deathT20371701648.9103.79.134.1MEDIUM
middleT20828469.360.90.039.1LOW

Bowling

middleT20703678415.816.5HIGH
powerplayT20567595336.318.0HIGH
deathT20514568566.610.1HIGH

Against pace and spin

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

PACET20331271137.5112.49.728.3LOW
SPINT2019547410.873.04.144.6LOW

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.