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Wang Huiying 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.

overallT202118721013.489.010.545.7MEDIUM
overallT20445382165.223.9HIGH

Why we like it

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

No split stands out from their own format baseline by enough to call it an edge.

Risks

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

  • Opposition: Hong Kong (T20)LOW sample

    49 runs off 65 balls in 6 T20 matches — strike rate 75.4 vs 89.0 overall, average 16.3 vs 13.4 overall.

  • Venue: Mission Road Ground, Mong Kok, Hong Kong (T20)LOW sample

    60 runs off 76 balls in 8 T20 matches — strike rate 78.9 vs 89.0 overall, average 12.0 vs 13.4 overall.

  • Bowling type: SPIN (T20)LOW sample

    75 runs off 95 balls in 17 T20 matches — strike rate 78.9 vs 89.0 overall, average 8.3 vs 13.4 overall.

  • Phase: death (T20)LOW sample

    45 runs off 73 balls in 8 T20 matches — strike rate 61.6 vs 89.0 overall, average 11.3 vs 13.4 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.

Hong KongT206496516.375.49.249.2LOW
PhilippinesT2025033—151.524.230.3LOW
NepalT202233111.574.26.548.4LOW

Bowling

Hong KongT2015014155.628.2MEDIUM
MongoliaT20421822.69.0LOW
PhilippinesT20423525.017.5LOW
ThailandT20363916.539.0LOW

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.

Mission Road Ground, Mong Kok, Hong KongT208607612.078.99.248.7LOW
YSD-UKM Cricket Oval, BangiT204715535.5129.118.232.7LOW
Bayuemas Oval, Kuala LumpurT20437529.371.25.851.9LOW

Bowling

Mission Road Ground, Mong Kok, Hong KongT2013313145.932.8LOW
Sano International Cricket GroundT20845433.918.0LOW
Bayuemas Oval, Kuala LumpurT20786344.815.8LOW
Zhejiang University of Technology Cricket FieldT20665835.319.3LOW
Yeonhui Cricket Ground, IncheonT20424025.720.0LOW
YSD-UKM Cricket Oval, BangiT20423605.1—LOW

By country

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

UnknownT201918420614.289.310.745.6MEDIUM

Bowling

UnknownT20361328135.525.2HIGH
JapanT20845433.918.0LOW

By match phase

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

middleT2013909711.392.811.346.4LOW
deathT208457311.361.65.550.7LOW
powerplayT206524026.0130.017.535.0LOW

Bowling

middleT2024620845.152.0MEDIUM
powerplayT201159454.918.8LOW
deathT20848075.711.4LOW

Against pace and spin

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

SPINT201775958.378.97.446.3LOW
PACET2014728124.088.911.146.9LOW
UNKNOWNT208403420.0117.617.641.2LOW

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.