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K Joshi 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.

overallT204231042610.772.87.758.7HIGH
overallT20629559215.326.6HIGH

Why we like it

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

  • Venue: Tribhuvan University International Cricket Ground, Kirtipur (T20)MEDIUM sample

    139 runs off 142 balls in 13 T20 matches — strike rate 97.9 vs 72.8 overall, average 12.6 vs 10.7 overall.

  • Phase: death (T20)MEDIUM sample

    186 runs off 176 balls in 26 T20 matches — strike rate 105.7 vs 72.8 overall, average 12.4 vs 10.7 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    111 runs off 205 balls in 29 T20 matches — strike rate 54.1 vs 72.8 overall, average 9.3 vs 10.7 overall.

  • Venue: Entebbe Cricket Oval (T20)LOW sample

    45 runs off 77 balls in 4 T20 matches — strike rate 58.4 vs 72.8 overall, average 15.0 vs 10.7 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.

ThailandT206638710.572.49.264.4LOW
MalaysiaT2011446311.069.86.352.4LOW
NetherlandsT204615420.3113.013.044.4LOW
NamibiaT202335033.066.04.056.0LOW
UgandaT20534508.568.08.068.0LOW

Bowling

MalaysiaT20218164104.516.4MEDIUM
ThailandT20908515.785.0LOW
NetherlandsT20667116.571.0LOW
Hong KongT20423925.619.5LOW
UgandaT20362414.024.0LOW

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.

Tribhuvan University International Cricket Ground, KirtipurT201313914212.697.912.753.5MEDIUM
Entebbe Cricket OvalT204457715.058.43.962.3LOW
Bayuemas Oval, Kuala LumpurT2010436010.871.75.048.3LOW
UKM-YSD Cricket Oval, BangiT20219489.539.64.272.9LOW

Bowling

Bayuemas Oval, Kuala LumpurT2018815394.917.0MEDIUM
Tribhuvan University International Cricket Ground, KirtipurT2018618646.046.5MEDIUM
YSD-UKM Cricket Oval, BangiT20905833.919.3LOW
UKM-YSD Cricket Oval, BangiT20542913.229.0LOW
Rangiri Dambulla International StadiumT20476728.633.5LOW

By country

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

UnknownT204231042610.772.87.758.7HIGH

Bowling

UnknownT20629559215.326.6HIGH

By match phase

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

middleT20291112059.354.14.464.9MEDIUM
deathT202618617612.4105.713.147.2MEDIUM
powerplayT20613456.528.92.275.6LOW

Bowling

middleT20393354125.429.5HIGH
deathT2017617185.821.4MEDIUM
powerplayT20603413.434.0LOW

Against pace and spin

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

SPINT20341872609.871.97.760.0MEDIUM
PACET2028821258.265.67.261.6MEDIUM
UNKNOWNT20124141—100.09.841.5LOW

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.