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A Donovan 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.

overallT201842530742.5138.417.334.2HIGH
overallT2012614236.847.3LOW

Why we like it

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

  • Opposition: South Korea (T20)MEDIUM sample

    274 runs off 160 balls in 6 T20 matches — strike rate 171.3 vs 138.4 overall, average 91.3 vs 42.5 overall.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    276 runs off 135 balls in 7 T20 matches — strike rate 204.4 vs 138.4 overall, average 92.0 vs 42.5 overall.

  • Bowling type: SPIN (T20)MEDIUM sample

    206 runs off 137 balls in 16 T20 matches — strike rate 150.4 vs 138.4 overall, average 41.2 vs 42.5 overall.

  • Phase: middle (T20)MEDIUM sample

    295 runs off 201 balls in 15 T20 matches — strike rate 146.8 vs 138.4 overall, average 42.1 vs 42.5 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    131 runs off 73 balls in 10 T20 matches — strike rate 179.5 vs 138.4 overall, average 131.0 vs 42.5 overall.

Risks

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

  • Opposition: Indonesia (T20)LOW sample

    71 runs off 62 balls in 6 T20 matches — strike rate 114.5 vs 138.4 overall, average 23.7 vs 42.5 overall.

  • Venue: Terdthai Cricket Ground, Bangkok (T20)LOW sample

    79 runs off 75 balls in 4 T20 matches — strike rate 105.3 vs 138.4 overall, average 26.3 vs 42.5 overall.

  • Bowling type: PACE (T20)LOW sample

    88 runs off 97 balls in 15 T20 matches — strike rate 90.7 vs 138.4 overall, average 22.0 vs 42.5 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.

South KoreaT20627416091.3171.323.126.9MEDIUM
IndonesiaT206716223.7114.512.938.7LOW

Bowling

South KoreaT20605325.326.5LOW
IndonesiaT20546216.962.0LOW

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.

Udayana Cricket GroundT20727613592.0204.428.919.3MEDIUM
Terdthai Cricket Ground, BangkokT204797526.3105.310.741.3LOW
Sano International Cricket Ground 2T203335216.563.53.851.9LOW
Sano International Cricket GroundT202353535.0100.011.437.1LOW

Bowling

Udayana Cricket GroundT20969936.233.0LOW

By country

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

UnknownT201639027243.3143.418.033.8MEDIUM
JapanT202353535.0100.011.437.1LOW

Bowling

UnknownT2012614236.847.3LOW

By match phase

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

middleT201529520142.1146.817.930.3MEDIUM
powerplayT208485748.084.210.549.1LOW
deathT206824941.0167.322.432.7LOW

Bowling

middleT20666205.6—LOW
powerplayT20364126.820.5LOW

Against pace and spin

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

SPINT201620613741.2150.419.027.7MEDIUM
PACET2015889722.090.78.245.4LOW
UNKNOWNT201013173131.0179.526.031.5LOW

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.