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A Vaidya 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.

overallT201527328321.096.512.453.0MEDIUM
overallT20237215155.414.3MEDIUM

Why we like it

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

  • Phase: powerplay (T20)MEDIUM sample

    181 runs off 187 balls in 12 T20 matches — strike rate 96.8 vs 96.5 overall, average 36.2 vs 21.0 overall.

  • Opposition: Germany (T20)LOW sample

    126 runs off 111 balls in 5 T20 matches — strike rate 113.5 vs 96.5 overall, average 31.5 vs 21.0 overall.

  • Venue: GelsenTrabPark, Gelsenkirchen (T20)LOW sample

    90 runs off 81 balls in 3 T20 matches — strike rate 111.1 vs 96.5 overall, average 45.0 vs 21.0 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    89 runs off 69 balls in 9 T20 matches — strike rate 129.0 vs 96.5 overall, average 89.0 vs 21.0 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    115 runs off 133 balls in 13 T20 matches — strike rate 86.5 vs 96.5 overall, average 19.2 vs 21.0 overall.

  • Venue: Simar Cricket Ground, Rome (T20)LOW sample

    62 runs off 79 balls in 4 T20 matches — strike rate 78.5 vs 96.5 overall, average 15.5 vs 21.0 overall.

  • Bowling type: SPIN (T20)LOW sample

    69 runs off 81 balls in 10 T20 matches — strike rate 85.2 vs 96.5 overall, average 11.5 vs 21.0 overall.

  • Phase: middle (T20)LOW sample

    74 runs off 84 balls in 9 T20 matches — strike rate 88.1 vs 96.5 overall, average 12.3 vs 21.0 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.

GermanyT20512611131.5113.514.446.8LOW
DenmarkT202414320.595.314.060.5LOW
JerseyT201253325.075.83.045.5LOW
SpainT202323016.0106.713.346.7LOW

Bowling

GermanyT205490110.090.0LOW
DenmarkT20422944.17.3LOW

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.

GelsenTrabPark, GelsenkirchenT203908145.0111.117.353.1LOW
Simar Cricket Ground, RomeT204627915.578.58.954.4LOW
Albertslund Cricket ClubT203333616.591.716.766.7LOW
Ishoj Cricket Club, VejledalenT201323432.094.18.852.9LOW

Bowling

Albertslund Cricket ClubT20602332.37.7LOW
FB Fields, St ClementT20481932.46.3LOW
Simar Cricket Ground, RomeT20394346.610.8LOW

By country

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

UnknownT201527328321.096.512.453.0MEDIUM

Bowling

UnknownT20237215155.414.3MEDIUM

By match phase

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

powerplayT201218118736.296.815.056.7MEDIUM
middleT209748412.388.16.047.6LOW

Bowling

middleT201119495.110.4LOW
powerplayT20666626.033.0LOW
deathT20605545.513.8LOW

Against pace and spin

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

PACET201311513319.286.512.060.9MEDIUM
SPINT2010698111.585.29.954.3LOW
UNKNOWNT209896989.0129.015.936.2LOW

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.