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W Miyauchi 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.

overallT202842342120.1100.59.337.3HIGH
overallT206303.0—LOW

Why we like it

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

  • Opposition: Mongolia (T20)LOW sample

    115 runs off 89 balls in 3 T20 matches — strike rate 129.2 vs 100.5 overall, average 38.3 vs 20.1 overall.

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

    71 runs off 61 balls in 5 T20 matches — strike rate 116.4 vs 100.5 overall, average 17.8 vs 20.1 overall.

  • Phase: powerplay (T20)LOW sample

    114 runs off 112 balls in 10 T20 matches — strike rate 101.8 vs 100.5 overall, average 28.5 vs 20.1 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    135 runs off 155 balls in 18 T20 matches — strike rate 87.1 vs 100.5 overall, average 19.3 vs 20.1 overall.

  • Opposition: Cook Islands (T20)LOW sample

    59 runs off 66 balls in 4 T20 matches — strike rate 89.4 vs 100.5 overall, average 19.7 vs 20.1 overall.

  • Venue: Yeonhui Cricket Ground, Incheon (T20)LOW sample

    51 runs off 60 balls in 5 T20 matches — strike rate 85.0 vs 100.5 overall, average 17.0 vs 20.1 overall.

  • Phase: death (T20)LOW sample

    107 runs off 100 balls in 14 T20 matches — strike rate 107.0 vs 100.5 overall, average 11.9 vs 20.1 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.

MongoliaT2031158938.3129.214.628.1LOW
Cook IslandsT204596619.789.44.540.9LOW
PhilippinesT204545627.096.47.132.1LOW
Papua New GuineaT202254512.555.60.042.2LOW
SingaporeT201503950.0128.215.430.8LOW
Hong KongT20314334.742.43.063.6LOW
United Arab EmiratesT2014532—140.615.637.5LOW

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.

Sano International Cricket GroundT20818116725.9108.49.634.1MEDIUM
Terdthai Cricket Ground, BangkokT205716117.8116.413.132.8LOW
Yeonhui Cricket Ground, IncheonT205516017.085.05.036.7LOW
Mission Road Ground, Mong Kok, Hong KongT204455711.378.910.550.9LOW
Amini Park, Port MoresbyT203263813.068.42.639.5LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T2014532—140.615.637.5LOW

By country

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

UnknownT202024225417.395.39.139.4MEDIUM
JapanT20818116725.9108.49.634.1MEDIUM

By match phase

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

middleT201620220925.396.77.737.3MEDIUM
powerplayT201011411228.5101.812.542.0LOW
deathT201410710011.9107.09.032.0LOW

Against pace and spin

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

PACET202525624121.3106.210.835.7MEDIUM
SPINT201813515519.387.15.841.3MEDIUM

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.