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Karri Gullem Keen 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.

overallT201724329216.283.211.355.1MEDIUM
overallT20374371226.016.9HIGH

Why we like it

Splits where Karri Gullem Keen scores materially faster or lasts materially longer than their own baseline in the same format.

  • Venue: YSD-UKM Cricket Oval, Bangi (T20)LOW sample

    119 runs off 83 balls in 3 T20 matches — strike rate 143.4 vs 83.2 overall, average 59.5 vs 16.2 overall.

  • Bowling type: PACE (T20)LOW sample

    89 runs off 95 balls in 12 T20 matches — strike rate 93.7 vs 83.2 overall, average 14.8 vs 16.2 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    76 runs off 70 balls in 9 T20 matches — strike rate 108.6 vs 83.2 overall, average 25.3 vs 16.2 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    78 runs off 127 balls in 11 T20 matches — strike rate 61.4 vs 83.2 overall, average 13.0 vs 16.2 overall.

  • Phase: powerplay (T20)LOW sample

    47 runs off 71 balls in 9 T20 matches — strike rate 66.2 vs 83.2 overall, average 15.7 vs 16.2 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.

ChinaT203677833.585.97.743.6LOW
IndonesiaT202224911.044.94.167.3LOW
Cook IslandsT201223522.062.98.662.9LOW
Saudi ArabiaT2016733—203.036.418.2LOW

Bowling

SingaporeT20665364.88.8LOW
ChinaT20544545.011.3LOW
Cook IslandsT20483544.48.8LOW
IndonesiaT20485426.827.0LOW

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.

YSD-UKM Cricket Oval, BangiT2031198359.5143.421.731.3LOW
Terdthai Cricket Ground, BangkokT202255912.542.43.469.5LOW
Albert Park 2, SuvaT203415113.780.413.762.7LOW
Sano International Cricket GroundT20425388.365.85.355.3LOW

Bowling

Sano International Cricket GroundT20906284.17.8LOW
Singapore National Cricket GroundT20665364.88.8LOW
Albert Park 2, SuvaT20606846.817.0LOW
Udayana Cricket GroundT20484025.020.0LOW
YSD-UKM Cricket Oval, BangiT20363916.539.0LOW

By country

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

UnknownT201321825418.285.812.255.1MEDIUM
JapanT20425388.365.85.355.3LOW

Bowling

UnknownT20284309146.522.1MEDIUM
JapanT20906284.17.8LOW

By match phase

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

middleT201214316815.985.111.353.0MEDIUM
powerplayT209477115.766.211.371.8LOW
deathT205535317.7100.011.339.6LOW

Bowling

powerplayT20168126114.511.5MEDIUM
middleT2015218067.130.0MEDIUM
deathT20546557.213.0LOW

Against pace and spin

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

SPINT20117812713.061.47.164.6MEDIUM
PACET2012899514.893.714.752.6LOW
UNKNOWNT209767025.3108.614.341.4LOW

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.