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H Goto 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.

overallT202725241210.561.22.955.8HIGH
overallT20611011.0—LOW

Why we like it

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

  • Phase: middle (T20)MEDIUM sample

    101 runs off 146 balls in 12 T20 matches — strike rate 69.2 vs 61.2 overall, average 14.4 vs 10.5 overall.

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

    63 runs off 83 balls in 3 T20 matches — strike rate 75.9 vs 61.2 overall, average 31.5 vs 10.5 overall.

  • Bowling type: SPIN (T20)LOW sample

    96 runs off 119 balls in 19 T20 matches — strike rate 80.7 vs 61.2 overall, average 10.7 vs 10.5 overall.

  • Phase: death (T20)LOW sample

    64 runs off 81 balls in 13 T20 matches — strike rate 79.0 vs 61.2 overall, average 6.4 vs 10.5 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    105 runs off 210 balls in 22 T20 matches — strike rate 50.0 vs 61.2 overall, average 10.5 vs 10.5 overall.

  • Phase: powerplay (T20)MEDIUM sample

    87 runs off 185 balls in 15 T20 matches — strike rate 47.0 vs 61.2 overall, average 12.4 vs 10.5 overall.

  • Opposition: Hong Kong (T20)LOW sample

    40 runs off 82 balls in 7 T20 matches — strike rate 48.8 vs 61.2 overall, average 6.7 vs 10.5 overall.

  • Venue: Hong Kong Cricket Club (T20)LOW sample

    20 runs off 60 balls in 4 T20 matches — strike rate 33.3 vs 61.2 overall, average 5.0 vs 10.5 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.

Hong KongT20740826.748.80.057.3LOW
SingaporeT20439559.870.95.560.0LOW
NepalT20219499.538.82.065.3LOW
OmanT201444544.097.88.944.4LOW
BahrainT2014541—109.82.422.0LOW
MalaysiaT201113411.032.42.976.5LOW

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 GroundT20758898.365.23.456.2LOW
Bayuemas Oval, Kuala LumpurT203638331.575.92.444.6LOW
Hong Kong Cricket ClubT20420605.033.31.770.0LOW
Yeonhui Cricket Ground, IncheonT2012350—46.00.060.0LOW
YSD-UKM Cricket Oval, BangiT202454722.595.78.544.7LOW

By country

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

UnknownT202019432311.460.12.855.7HIGH
JapanT20758898.365.23.456.2LOW

By match phase

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

powerplayT20158718512.447.03.267.6MEDIUM
middleT201210114614.469.23.450.0MEDIUM
deathT201364816.479.01.239.5LOW

Against pace and spin

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

PACET202210521010.550.02.962.9MEDIUM
SPINT20199611910.780.74.244.5LOW
UNKNOWNT2012518310.261.41.254.2LOW

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.