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Zon Lin betting stats, splits & projections

All-rounder

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.

overallT203263866926.695.410.547.7HIGH
overallT20385324205.016.2HIGH

Why we like it

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

  • Venue: Singapore National Cricket Ground (T20)HIGH sample

    324 runs off 304 balls in 9 T20 matches — strike rate 106.6 vs 95.4 overall, average 54.0 vs 26.6 overall.

  • Opposition: Kuwait (T20)MEDIUM sample

    244 runs off 234 balls in 8 T20 matches — strike rate 104.3 vs 95.4 overall, average 48.8 vs 26.6 overall.

  • Opposition: Singapore (T20)MEDIUM sample

    176 runs off 181 balls in 8 T20 matches — strike rate 97.2 vs 95.4 overall, average 35.2 vs 26.6 overall.

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

    104 runs off 83 balls in 3 T20 matches — strike rate 125.3 vs 95.4 overall, average 104.0 vs 26.6 overall.

  • Phase: death (T20)LOW sample

    90 runs off 71 balls in 6 T20 matches — strike rate 126.8 vs 95.4 overall, average 45.0 vs 26.6 overall.

Risks

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

No split is materially below their own format baseline.

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.

KuwaitT20824423448.8104.311.542.3MEDIUM
SingaporeT20817618135.297.29.445.9MEDIUM
BhutanT2049910424.895.212.551.0LOW
MongoliaT2025942—140.519.033.3LOW
MalaysiaT201213121.067.76.554.8LOW

Bowling

SingaporeT201247583.69.4LOW
KuwaitT20907264.812.0LOW
BhutanT20484535.615.0LOW

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.

Singapore National Cricket GroundT20932430454.0106.611.543.8HIGH
Gelephu International Cricket GroundT2049910424.895.212.551.0LOW
YSD-UKM Cricket Oval, BangiT20310483104.0125.315.734.9LOW
Terdthai Cricket Ground, BangkokT20436519.070.69.858.8LOW
Bayuemas Oval, Kuala LumpurT20318439.041.90.060.5LOW

Bowling

Singapore National Cricket GroundT201209034.530.0LOW
Gelephu International Cricket GroundT20484535.615.0LOW
Bayuemas Oval, Kuala LumpurT20423444.98.5LOW
YSD-UKM Cricket Oval, BangiT20363015.030.0LOW

By country

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

UnknownT203263866926.695.410.547.7HIGH

Bowling

UnknownT20385324205.016.2HIGH

By match phase

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

powerplayT202629530932.895.512.653.1HIGH
middleT202225328919.587.58.345.7MEDIUM
deathT206907145.0126.89.932.4LOW

Bowling

middleT2017113854.827.6MEDIUM
powerplayT2015614465.524.0MEDIUM
deathT20584294.34.7LOW

Against pace and spin

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

SPINT202627228827.294.410.147.9MEDIUM
PACET202523525023.594.010.849.2MEDIUM
UNKNOWNT201413113132.8100.010.744.3MEDIUM

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.