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A Suwanchonrathi 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.

overallT203737651111.873.67.255.6HIGH
overallODI1343.075.00.025.0LOW
overallT20968045.020.0LOW

Why we like it

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

  • Phase: middle (T20)MEDIUM sample

    136 runs off 146 balls in 15 T20 matches — strike rate 93.2 vs 73.6 overall, average 12.4 vs 11.8 overall.

  • Opposition: Nepal (T20)LOW sample

    84 runs off 104 balls in 6 T20 matches — strike rate 80.8 vs 73.6 overall, average 21.0 vs 11.8 overall.

  • Venue: Tribhuvan University International Cricket Ground, Kirtipur (T20)LOW sample

    87 runs off 104 balls in 8 T20 matches — strike rate 83.7 vs 73.6 overall, average 12.4 vs 11.8 overall.

Risks

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

  • Phase: powerplay (T20)HIGH sample

    213 runs off 327 balls in 28 T20 matches — strike rate 65.1 vs 73.6 overall, average 13.3 vs 11.8 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.

NepalT2068410421.080.83.843.3LOW
Hong KongT204455611.380.47.151.8LOW
United Arab EmiratesT203415420.575.97.453.7LOW
NetherlandsT20436489.075.010.464.6LOW
MalaysiaT20324418.058.57.365.9LOW
ChinaT202273713.573.08.154.1LOW
KuwaitT202253725.067.62.745.9LOW
Papua New GuineaT202203110.064.53.258.1LOW

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.

Terdthai Cricket Ground, BangkokT2069813119.674.85.347.3MEDIUM
Bayuemas Oval, Kuala LumpurT2098210613.777.48.554.7LOW
Tribhuvan University International Cricket Ground, KirtipurT2088710412.483.77.753.8LOW
Mission Road Ground, Mong Kok, Hong KongT204466311.573.011.161.9LOW
Dubai International Cricket StadiumT20325418.361.02.453.7LOW
Amini Park, Port MoresbyT202203110.064.53.258.1LOW

Bowling

Bayuemas Oval, Kuala LumpurT20483023.815.0LOW

By country

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

UnknownT203737651111.873.67.255.6HIGH

Bowling

UnknownT20968045.020.0LOW

By match phase

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

powerplayT202821332713.365.17.061.8HIGH
middleT201513614612.493.28.243.2MEDIUM
deathT20727385.471.15.350.0LOW

Bowling

middleT20907645.119.0LOW

Against pace and spin

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

SPINT203121128710.673.56.654.7MEDIUM
PACET202712416412.475.69.157.3MEDIUM
UNKNOWNT2011416020.568.35.055.0LOW

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.