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KN Chaddha betting stats, splits & projections

Batter

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.

overallT201845242428.3106.611.838.9HIGH
overallT208310767.717.8LOW

Why we like it

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

  • Opposition: Sweden (T20)MEDIUM sample

    201 runs off 175 balls in 7 T20 matches — strike rate 114.9 vs 106.6 overall, average 28.7 vs 28.3 overall.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    201 runs off 175 balls in 7 T20 matches — strike rate 114.9 vs 106.6 overall, average 28.7 vs 28.3 overall.

  • Venue: Singapore National Cricket Ground (T20)LOW sample

    121 runs off 77 balls in 3 T20 matches — strike rate 157.1 vs 106.6 overall, average 60.5 vs 28.3 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    158 runs off 106 balls in 11 T20 matches — strike rate 149.1 vs 106.6 overall, average 79.0 vs 28.3 overall.

Risks

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

  • Venue: Sano International Cricket Ground (T20)MEDIUM sample

    124 runs off 151 balls in 6 T20 matches — strike rate 82.1 vs 106.6 overall, average 24.8 vs 28.3 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    170 runs off 183 balls in 15 T20 matches — strike rate 92.9 vs 106.6 overall, average 24.3 vs 28.3 overall.

  • Bowling type: SPIN (T20)MEDIUM sample

    124 runs off 135 balls in 16 T20 matches — strike rate 91.9 vs 106.6 overall, average 17.7 vs 28.3 overall.

  • Phase: powerplay (T20)MEDIUM sample

    147 runs off 159 balls in 15 T20 matches — strike rate 92.5 vs 106.6 overall, average 49.0 vs 28.3 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.

SwedenT20720117528.7114.914.938.3MEDIUM
Cook IslandsT201455245.086.57.746.2LOW
UzbekistanT202814381.0188.425.616.3LOW
SingaporeT201403440.0117.614.732.4LOW
SamoaT201253325.075.83.042.4LOW
Papua New GuineaT2013032—93.86.340.6LOW

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.

Udayana Cricket GroundT20720117528.7114.914.938.3MEDIUM
Sano International Cricket GroundT20612415124.882.15.343.7MEDIUM
Singapore National Cricket GroundT2031217760.5157.120.823.4LOW

Bowling

Sano International Cricket GroundT20546066.710.0LOW

By country

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

UnknownT201232827329.8120.115.436.3MEDIUM
JapanT20612415124.882.15.343.7MEDIUM

Bowling

JapanT20546066.710.0LOW

By match phase

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

middleT201523422226.0105.49.030.6MEDIUM
powerplayT201514715949.092.513.253.5MEDIUM
deathT205714317.8165.120.927.9LOW

Bowling

middleT20486347.915.8LOW

Against pace and spin

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

PACET201517018324.392.99.845.9MEDIUM
SPINT201612413517.791.97.436.3MEDIUM
UNKNOWNT201115810679.0149.120.830.2LOW

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.