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D Wulandari 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.

overallT202641552523.179.06.749.7HIGH
overallT201268424.042.0LOW

Why we like it

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

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    137 runs off 132 balls in 6 T20 matches — strike rate 103.8 vs 79.0 overall, average 27.4 vs 23.1 overall.

  • Opposition: Singapore (T20)LOW sample

    109 runs off 107 balls in 4 T20 matches — strike rate 101.9 vs 79.0 overall, average 36.3 vs 23.1 overall.

  • Opposition: Cook Islands (T20)LOW sample

    63 runs off 72 balls in 3 T20 matches — strike rate 87.5 vs 79.0 overall, average 31.5 vs 23.1 overall.

  • Opposition: Philippines (T20)LOW sample

    69 runs off 60 balls in 1 T20 match — strike rate 115.0 vs 79.0 overall, average 69.0 vs 23.1 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    66 runs off 71 balls in 10 T20 matches — strike rate 93.0 vs 79.0 overall, average 66.0 vs 23.1 overall.

  • Phase: death (T20)LOW sample

    71 runs off 62 balls in 8 T20 matches — strike rate 114.5 vs 79.0 overall, average 23.7 vs 23.1 overall.

Risks

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

  • Phase: powerplay (T20)MEDIUM sample

    158 runs off 231 balls in 19 T20 matches — strike rate 68.4 vs 79.0 overall, average 26.3 vs 23.1 overall.

  • Venue: Bayuemas Oval, Kuala Lumpur (T20)LOW sample

    46 runs off 67 balls in 3 T20 matches — strike rate 68.7 vs 79.0 overall, average 23.0 vs 23.1 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.

SingaporeT20410910736.3101.910.347.7LOW
Cook IslandsT203637231.587.59.747.2LOW
PhilippinesT201696069.0115.08.331.7LOW
MalaysiaT203345817.058.60.048.3LOW
Papua New GuineaT2012437—64.92.743.2LOW
VanuatuT201203320.060.66.160.6LOW
KuwaitT2012531—80.612.964.5LOW

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 GroundT20613713227.4103.89.839.4MEDIUM
Albert Park 1, SuvaT2039812398.079.78.148.0MEDIUM
Bayuemas Oval, Kuala LumpurT203466723.068.74.547.8LOW
Dubai International Cricket StadiumT203225511.040.01.869.1LOW
Selangor Turf Club, Kuala LumpurT202405440.074.19.368.5LOW
Terdthai Cricket Ground, BangkokT20326428.761.90.042.9LOW
Singapore National Cricket GroundT202363436.0105.95.941.2LOW

Bowling

Udayana Cricket GroundT20483204.0—LOW

By country

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

UnknownT202641552523.179.06.749.7HIGH

Bowling

UnknownT201268424.042.0LOW

By match phase

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

middleT201818623220.780.25.645.7MEDIUM
powerplayT201915823126.368.46.558.9MEDIUM
deathT208716223.7114.511.330.6LOW

Bowling

powerplayT201026323.731.5LOW

Against pace and spin

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

PACET202118323616.677.57.652.1MEDIUM
SPINT201716621827.776.14.648.6MEDIUM
UNKNOWNT2010667166.093.09.945.1LOW

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.