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D Wangmo 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.

overallT202650967028.376.06.454.3HIGH
overallT2015011284.514.0MEDIUM

Why we like it

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

  • Opposition: Kuwait (T20)LOW sample

    64 runs off 76 balls in 3 T20 matches — strike rate 84.2 vs 76.0 overall, average 32.0 vs 28.3 overall.

  • Opposition: Singapore (T20)LOW sample

    57 runs off 63 balls in 2 T20 matches — strike rate 90.5 vs 76.0 overall, average 57.0 vs 28.3 overall.

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

    57 runs off 62 balls in 3 T20 matches — strike rate 91.9 vs 76.0 overall, average 28.5 vs 28.3 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    110 runs off 113 balls in 11 T20 matches — strike rate 97.3 vs 76.0 overall, average 27.5 vs 28.3 overall.

  • Phase: death (T20)LOW sample

    123 runs off 114 balls in 10 T20 matches — strike rate 107.9 vs 76.0 overall, average 41.0 vs 28.3 overall.

Risks

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

  • Opposition: Nepal (T20)MEDIUM sample

    78 runs off 134 balls in 4 T20 matches — strike rate 58.2 vs 76.0 overall, average 26.0 vs 28.3 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    191 runs off 288 balls in 23 T20 matches — strike rate 66.3 vs 76.0 overall, average 31.8 vs 28.3 overall.

  • Phase: powerplay (T20)MEDIUM sample

    133 runs off 227 balls in 21 T20 matches — strike rate 58.6 vs 76.0 overall, average 22.2 vs 28.3 overall.

  • Opposition: Qatar (T20)LOW sample

    48 runs off 74 balls in 2 T20 matches — strike rate 64.9 vs 76.0 overall, average 48.0 vs 28.3 overall.

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

    46 runs off 73 balls in 2 T20 matches — strike rate 63.0 vs 76.0 overall, average 46.0 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.

NepalT2047813426.058.26.768.7MEDIUM
MyanmarT2047711238.568.84.552.7LOW
KuwaitT203647632.084.26.643.4LOW
QatarT202487448.064.95.462.2LOW
Hong KongT203506416.778.110.959.4LOW
SingaporeT202576357.090.54.846.0LOW
BahrainT2016451—125.57.829.4LOW
MaldivesT201363136.0116.19.735.5LOW

Bowling

Hong KongT20424426.322.0LOW

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.

Kolej Tuanku Jaafar Cricket Oval, MantinT2039712048.580.811.757.5MEDIUM
Gelephu International Cricket GroundT2047711238.568.84.552.7LOW
UKM-YSD Cricket Oval, BangiT2049111230.381.35.454.5LOW
Udayana Cricket GroundT205708523.382.43.549.4LOW
Bayuemas Oval, Kuala LumpurT202467346.063.05.565.8LOW
Terdthai Cricket Ground, BangkokT203576228.591.98.141.9LOW
Selangor Turf Club, Kuala LumpurT203445914.774.66.854.2LOW

Bowling

UKM-YSD Cricket Oval, BangiT20442813.828.0LOW

By country

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

UnknownT202650967028.376.06.454.3HIGH

Bowling

UnknownT2015011284.514.0MEDIUM

By match phase

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

middleT201825332928.176.95.852.3HIGH
powerplayT202113322722.258.66.267.4MEDIUM
deathT201012311441.0107.98.834.2LOW

Bowling

middleT20867765.412.8LOW
deathT20583323.416.5LOW

Against pace and spin

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

PACET202319128831.866.34.556.3MEDIUM
SPINT201920826926.077.37.856.1MEDIUM
UNKNOWNT201111011327.597.38.045.1LOW

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.