£
ExclusiveFreeBets
.com

H Lin Aung 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.

overallT20281873006.962.36.363.0HIGH
overallT20330389167.124.3MEDIUM

Why we like it

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

  • Bowling type: SPIN (T20)MEDIUM sample

    109 runs off 135 balls in 19 T20 matches — strike rate 80.7 vs 62.3 overall, average 7.3 vs 6.9 overall.

  • Phase: middle (T20)MEDIUM sample

    111 runs off 156 balls in 17 T20 matches — strike rate 71.2 vs 62.3 overall, average 7.9 vs 6.9 overall.

  • Opposition: Bhutan (T20)LOW sample

    48 runs off 61 balls in 6 T20 matches — strike rate 78.7 vs 62.3 overall, average 8.0 vs 6.9 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    52 runs off 121 balls in 19 T20 matches — strike rate 43.0 vs 62.3 overall, average 6.5 vs 6.9 overall.

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

    34 runs off 71 balls in 7 T20 matches — strike rate 47.9 vs 62.3 overall, average 4.9 vs 6.9 overall.

  • Phase: powerplay (T20)LOW sample

    50 runs off 111 balls in 16 T20 matches — strike rate 45.0 vs 62.3 overall, average 5.6 vs 6.9 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.

IndonesiaT2010821209.168.36.756.7MEDIUM
BhutanT20648618.078.713.173.8LOW

Bowling

BhutanT2010813777.619.6LOW
IndonesiaT20607947.919.8LOW
Timor-LesteT20423314.733.0LOW

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.

Udayana Cricket GroundT2012831257.566.46.457.6MEDIUM
Bayuemas Oval, Kuala LumpurT20734714.947.92.864.8LOW
Gelephu International Cricket GroundT20540508.080.014.074.0LOW
YSD-UKM Cricket Oval, BangiT20319366.352.82.861.1LOW

Bowling

Bayuemas Oval, Kuala LumpurT2011414157.428.2LOW
Udayana Cricket GroundT2010211256.622.4LOW
Gelephu International Cricket GroundT208411758.423.4LOW

By country

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

UnknownT20281873006.962.36.363.0HIGH

Bowling

UnknownT20330389167.124.3MEDIUM

By match phase

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

middleT20171111567.971.28.364.1MEDIUM
powerplayT2016501115.645.03.666.7LOW
deathT20526336.578.86.145.5LOW

Bowling

powerplayT2012615657.431.2LOW
deathT2010213778.119.6LOW
middleT201029645.624.0LOW

Against pace and spin

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

SPINT20191091357.380.78.960.7MEDIUM
PACET2019521216.543.03.365.3MEDIUM
UNKNOWNT201026446.559.16.863.6LOW

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.