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AB Kaur 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.

overallODI1011115813.970.35.750.0MEDIUM
overallT201419214732.0130.618.430.6MEDIUM
overallODI413409135.931.5HIGH
overallT2025231887.639.8MEDIUM

Why we like it

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

  • Phase: death (T20)LOW sample

    129 runs off 89 balls in 14 T20 matches — strike rate 144.9 vs 130.6 overall, average 21.5 vs 32.0 overall.

Risks

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

  • Opposition: Australia (ODI)LOW sample

    40 runs off 66 balls in 4 ODI matches — strike rate 60.6 vs 70.3 overall, average 10.0 vs 13.9 overall.

  • Bowling type: SPIN (ODI)LOW sample

    65 runs off 116 balls in 9 ODI matches — strike rate 56.0 vs 70.3 overall, average 16.3 vs 13.9 overall.

  • Bowling type: SPIN (T20)LOW sample

    88 runs off 74 balls in 11 T20 matches — strike rate 118.9 vs 130.6 overall, average 44.0 vs 32.0 overall.

  • Phase: middle (ODI)LOW sample

    51 runs off 101 balls in 4 ODI matches — strike rate 50.5 vs 70.3 overall, average 12.8 vs 13.9 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.

AustraliaODI4406610.060.64.554.5LOW
BangladeshODI3285914.047.51.759.3LOW
EnglandT205885388.0166.024.517.0LOW

Bowling

AustraliaODI13215026.875.0LOW
BangladeshODI1198844.422.0LOW
EnglandT209612657.925.2LOW
Sri LankaT20667516.875.0LOW
EnglandODI605815.858.0LOW
South AfricaODI545936.619.7LOW
Sri LankaODI485436.818.0LOW
AustraliaT204272110.372.0LOW

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.

Shere Bangla National Stadium, MirpurODI3285914.047.51.759.3LOW
Wankhede Stadium, MumbaiODI327489.056.32.152.1LOW
County Ground, BristolT2016340—157.522.520.0LOW

Bowling

Shere Bangla National Stadium, MirpurODI1198844.422.0LOW
R Premadasa Stadium, ColomboODI10211366.618.8LOW
Wankhede Stadium, MumbaiODI9610826.854.0LOW
The Rose Bowl, SouthamptonODI605815.858.0LOW
Greenfield International Stadium, ThiruvananthapuramT20425017.150.0LOW
Bellerive Oval, HobartODI364207.0—LOW

By country

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

UnknownODI1011115813.970.35.750.0MEDIUM
UnknownT201419214732.0130.618.430.6MEDIUM

Bowling

UnknownODI413409135.931.5HIGH
UnknownT2025231887.639.8MEDIUM

By match phase

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

middleODI45110112.850.54.062.4LOW
deathT20141298921.5144.922.529.2LOW
deathODI6605715.0105.38.828.1LOW
middleT2056255—112.712.730.9LOW

Bowling

middleODI25725776.036.7MEDIUM
middleT2016220547.651.3MEDIUM
powerplayODI1209734.832.3LOW
powerplayT20546026.730.0LOW
deathODI365539.218.3LOW
deathT20365328.826.5LOW

Against pace and spin

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

SPINODI96511616.356.02.653.4LOW
SPINT2011887444.0118.916.233.8LOW
PACET207805480.0148.122.224.1LOW

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.