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A Kanukuntla 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.

overallT201516628718.457.82.158.2MEDIUM
overallT20372321145.222.9HIGH

Why we like it

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

  • Opposition: Switzerland (T20)LOW sample

    60 runs off 82 balls in 4 T20 matches — strike rate 73.2 vs 57.8 overall, average 20.0 vs 18.4 overall.

  • Venue: SSC Karlsruhe (T20)LOW sample

    60 runs off 82 balls in 4 T20 matches — strike rate 73.2 vs 57.8 overall, average 20.0 vs 18.4 overall.

  • Phase: death (T20)LOW sample

    53 runs off 73 balls in 6 T20 matches — strike rate 72.6 vs 57.8 overall, average 17.7 vs 18.4 overall.

Risks

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

  • Venue: Hazelaarweg, Rotterdam (T20)MEDIUM sample

    56 runs off 130 balls in 6 T20 matches — strike rate 43.1 vs 57.8 overall, average 14.0 vs 18.4 overall.

  • Phase: middle (T20)MEDIUM sample

    83 runs off 171 balls in 13 T20 matches — strike rate 48.5 vs 57.8 overall, average 16.6 vs 18.4 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.

SwitzerlandT204608220.073.21.246.3LOW
IrelandT20215597.525.40.076.3LOW
DenmarkT203335233.063.51.950.0LOW
ItalyT202274427.061.44.563.6LOW

Bowling

SwitzerlandT201207643.819.0LOW
GreeceT20482022.510.0LOW
ItalyT20484936.116.3LOW
DenmarkT20422834.09.3LOW

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.

Hazelaarweg, RotterdamT2065613014.043.13.170.0MEDIUM
SSC KarlsruheT204608220.073.21.246.3LOW
GelsenTrabPark, GelsenkirchenT2032943—67.42.351.2LOW
Ishoj Cricket Club, VejledalenT202213210.565.60.050.0LOW

Bowling

SSC KarlsruheT201207643.819.0LOW
GelsenTrabPark, GelsenkirchenT20666155.512.2LOW
Hazelaarweg, RotterdamT20668617.886.0LOW
Marina Ground, CorfuT20482022.510.0LOW
Ishoj Cricket Club, VejledalenT20363505.8—LOW

By country

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

UnknownT201516628718.457.82.158.2MEDIUM

Bowling

UnknownT20372321145.222.9HIGH

By match phase

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

middleT20138317116.648.50.662.6MEDIUM
deathT206537317.772.65.552.1LOW
powerplayT206304330.069.82.351.2LOW

Bowling

powerplayT2018014664.924.3MEDIUM
middleT201088034.426.7LOW
deathT20849556.819.0LOW

Against pace and spin

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

PACET20128012620.063.51.652.4MEDIUM
SPINT20126311712.653.83.464.1LOW
UNKNOWNT2062344—52.30.059.1LOW

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.