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R Sakurano-Thomas 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.

overallT202827429012.594.55.537.9MEDIUM
overallT20553608386.616.0HIGH

Why we like it

Splits where R Sakurano-Thomas scores materially faster or lasts materially longer than their own baseline in the same format.

  • Venue: Sano International Cricket Ground (T20)LOW sample

    67 runs off 61 balls in 10 T20 matches — strike rate 109.8 vs 94.5 overall, average 11.2 vs 12.5 overall.

  • Phase: death (T20)LOW sample

    130 runs off 106 balls in 19 T20 matches — strike rate 122.6 vs 94.5 overall, average 9.3 vs 12.5 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    100 runs off 132 balls in 11 T20 matches — strike rate 75.8 vs 94.5 overall, average 14.3 vs 12.5 overall.

  • Opposition: Papua New Guinea (T20)LOW sample

    51 runs off 70 balls in 3 T20 matches — strike rate 72.9 vs 94.5 overall, average 17.0 vs 12.5 overall.

  • Venue: Amini Park, Port Moresby (T20)LOW sample

    69 runs off 81 balls in 6 T20 matches — strike rate 85.2 vs 94.5 overall, average 11.5 vs 12.5 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.

Papua New GuineaT203517017.072.94.350.0LOW
South KoreaT202564356.0130.27.014.0LOW
IndonesiaT20417345.750.00.064.7LOW

Bowling

IndonesiaT20958995.69.9LOW
PhilippinesT20666035.520.0LOW
Hong KongT2058100610.316.7LOW
MongoliaT20572732.89.0LOW
VanuatuT20485627.028.0LOW
Papua New GuineaT20423535.011.7LOW

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.

Amini Park, Port MoresbyT206698111.585.26.244.4LOW
Yeonhui Cricket Ground, IncheonT203606720.089.61.532.8LOW
Sano International Cricket GroundT2010676111.2109.89.837.7LOW

Bowling

Sano International Cricket GroundT20182154135.111.8MEDIUM
Amini Park, Port MoresbyT2011411566.119.2LOW
Mission Road Ground, Mong Kok, Hong KongT207610578.315.0LOW
Terdthai Cricket Ground, BangkokT2067121710.817.3LOW
Yeonhui Cricket Ground, IncheonT20544825.324.0LOW

By country

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

UnknownT201820722912.990.44.438.0MEDIUM
JapanT2010676111.2109.89.837.7LOW

Bowling

UnknownT20371454257.318.2HIGH
JapanT20182154135.111.8MEDIUM

By match phase

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

middleT201110013214.375.83.045.5MEDIUM
deathT20191301069.3122.69.425.5LOW
powerplayT206445244.084.63.844.2LOW

Bowling

powerplayT20330328206.016.4MEDIUM
middleT2011411285.914.0LOW
deathT20109168109.216.8LOW

Against pace and spin

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

PACET20241121248.690.36.541.9MEDIUM
SPINT201610311917.286.63.437.8LOW
UNKNOWNT207594719.7125.58.527.7LOW

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.