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KM Myat 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.

overallT202950666423.076.27.554.2HIGH

Why we like it

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

  • Venue: YSD-UKM Cricket Oval, Bangi (T20)MEDIUM sample

    134 runs off 133 balls in 4 T20 matches — strike rate 100.8 vs 76.2 overall, average 44.7 vs 23.0 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    269 runs off 298 balls in 21 T20 matches — strike rate 90.3 vs 76.2 overall, average 38.4 vs 23.0 overall.

  • Opposition: Mongolia (T20)LOW sample

    95 runs off 84 balls in 3 T20 matches — strike rate 113.1 vs 76.2 overall, average 47.5 vs 23.0 overall.

  • Phase: death (T20)LOW sample

    82 runs off 88 balls in 8 T20 matches — strike rate 93.2 vs 76.2 overall, average 27.3 vs 23.0 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    175 runs off 280 balls in 23 T20 matches — strike rate 62.5 vs 76.2 overall, average 19.4 vs 23.0 overall.

  • Venue: Indian Association Ground, Singapore (T20)LOW sample

    43 runs off 72 balls in 2 T20 matches — strike rate 59.7 vs 76.2 overall, average 21.5 vs 23.0 overall.

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

    32 runs off 71 balls in 4 T20 matches — strike rate 45.1 vs 76.2 overall, average 10.7 vs 23.0 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    62 runs off 86 balls in 14 T20 matches — strike rate 72.1 vs 76.2 overall, average 10.3 vs 23.0 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.

KuwaitT20813516422.582.37.348.2MEDIUM
SingaporeT2069914516.568.37.662.1MEDIUM
MongoliaT203958447.5113.114.342.9LOW
Hong KongT202578057.071.311.366.3LOW
BhutanT204577719.074.03.941.6LOW
ThailandT202124012.030.00.075.0LOW
ChinaT202193519.054.30.048.6LOW

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.

Singapore National Cricket GroundT20711814423.681.96.947.9MEDIUM
YSD-UKM Cricket Oval, BangiT20413413344.7100.815.048.9MEDIUM
Zhejiang University of Technology Cricket FieldT2048210741.076.68.456.1LOW
Gelephu International Cricket GroundT204577719.074.03.941.6LOW
Indian Association Ground, SingaporeT202437221.559.74.263.9LOW
Bayuemas Oval, Kuala LumpurT204327110.745.11.470.4LOW
UKM-YSD Cricket Oval, BangiT202213910.553.85.169.2LOW

By country

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

UnknownT202950666423.076.27.554.2HIGH

By match phase

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

powerplayT202423231025.874.88.459.4HIGH
middleT201819226619.272.26.052.3MEDIUM
deathT208828827.393.29.142.0LOW

Against pace and spin

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

PACET202126929838.490.311.151.7MEDIUM
SPINT202317528019.462.54.357.9MEDIUM
UNKNOWNT2014628610.372.15.851.2LOW

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.