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AI Chudasama 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.

overallT202224827117.791.58.942.8MEDIUM
overallODI712117020.271.24.750.6MEDIUM
overallT20745638355.118.2HIGH
overallODI496326133.925.1HIGH

Why we like it

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

  • Phase: death (T20)LOW sample

    111 runs off 90 balls in 12 T20 matches — strike rate 123.3 vs 91.5 overall, average 18.5 vs 17.7 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    108 runs off 145 balls in 16 T20 matches — strike rate 74.5 vs 91.5 overall, average 15.4 vs 17.7 overall.

  • Venue: Mulpani Cricket Ground (T20)LOW sample

    44 runs off 62 balls in 5 T20 matches — strike rate 71.0 vs 91.5 overall, average 8.8 vs 17.7 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.

ZimbabweODI59513619.069.94.451.5MEDIUM
NetherlandsT205727724.093.510.442.9LOW
ZimbabweT202364036.090.05.035.0LOW
ScotlandODI12530—83.36.743.3LOW

Bowling

ZimbabweODI394254103.925.4HIGH
BrazilT20903752.57.4LOW
ArgentinaT208736112.53.3LOW
NetherlandsT208410027.150.0LOW
CanadaT20736535.321.7LOW
ZimbabweT20727025.835.0LOW
ScotlandODI604124.120.5LOW
NepalT20483324.116.5LOW
Papua New GuineaODI423114.431.0LOW
ItalyT20423214.632.0LOW
ThailandT20393615.536.0LOW
ScotlandT20364527.522.5LOW
VanuatuT20362744.56.8LOW

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.

Sportpark Maarschalkerweerd, UtrechtT204727636.094.710.542.1LOW
Harare Sports ClubODI3537117.774.65.649.3LOW
Grand Prairie Stadium, DallasODI2426521.064.63.153.8LOW
Mulpani Cricket GroundT20544628.871.06.551.6LOW
Grand Prairie Stadium, DallasT202364036.090.05.035.0LOW
ICC Academy, DubaiODI2263426.076.55.947.1LOW
Gahanga International Cricket Stadium. RwandaT2024131—132.316.129.0LOW

Bowling

Harare Sports ClubODI29217673.625.1MEDIUM
Woodley Cricket Field, Los AngelesT201357293.28.0LOW
St Albans Club, Buenos AiresT2011566103.46.6LOW
Grand Prairie Stadium, DallasODI1027834.626.0LOW
ICC Academy, DubaiODI1027234.224.0LOW
Gahanga International Cricket Stadium. RwandaT20967924.939.5LOW
Mulpani Cricket GroundT209612327.761.5LOW
Grand Prairie Stadium, DallasT20727025.835.0LOW
Sportpark Maarschalkerweerd, UtrechtT20727426.237.0LOW
Gahanga B Ground, RwandaT20483554.47.0LOW
Tolerance Oval, Abu DhabiT20484735.915.7LOW
Zayed Cricket Stadium, Abu DhabiT20392604.0—LOW

By country

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

UnknownT202224827117.791.58.942.8MEDIUM
UnknownODI4689922.768.74.051.5LOW
ZimbabweODI3537117.774.65.649.3LOW

Bowling

UnknownT20745638355.118.2HIGH
ZimbabweODI29217673.625.1MEDIUM
UnknownODI20415064.425.0MEDIUM

By match phase

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

middleT201610814515.474.56.248.3MEDIUM
middleODI58010726.774.83.746.7LOW
deathT20121119018.5123.312.227.8LOW
deathODI3323916.082.17.746.2LOW
powerplayT206293629.080.611.158.3LOW

Bowling

powerplayT20362331125.527.6HIGH
middleODI32423034.376.7MEDIUM
middleT2021817874.925.4MEDIUM
deathT20165129164.78.1MEDIUM
powerplayODI1025042.912.5LOW
deathODI704663.97.7LOW

Against pace and spin

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

SPINT201815317125.589.57.640.9MEDIUM
SPINODI6678922.375.33.443.8LOW
PACEODI6537917.767.16.358.2LOW
PACET2015767710.998.713.048.1LOW

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.