£
ExclusiveFreeBets
.com

M Zhu 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.

overallT202328033613.383.37.147.9HIGH
overallT2031527385.234.1MEDIUM

Why we like it

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

  • Venue: Mission Road Ground, Mong Kok, Hong Kong (T20)MEDIUM sample

    110 runs off 125 balls in 4 T20 matches — strike rate 88.0 vs 83.3 overall, average 27.5 vs 13.3 overall.

  • Phase: middle (T20)MEDIUM sample

    181 runs off 205 balls in 16 T20 matches — strike rate 88.3 vs 83.3 overall, average 22.6 vs 13.3 overall.

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

    91 runs off 95 balls in 5 T20 matches — strike rate 95.8 vs 83.3 overall, average 18.2 vs 13.3 overall.

Risks

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

  • Bowling type: PACE (T20)LOW sample

    79 runs off 105 balls in 18 T20 matches — strike rate 75.2 vs 83.3 overall, average 13.2 vs 13.3 overall.

  • Phase: powerplay (T20)LOW sample

    58 runs off 88 balls in 13 T20 matches — strike rate 65.9 vs 83.3 overall, average 8.3 vs 13.3 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 KongT205749514.877.97.451.6LOW
MalaysiaT202486324.076.24.852.4LOW
NepalT202484124.0117.112.226.8LOW
IndonesiaT201323832.084.27.942.1LOW

Bowling

MalaysiaT20544024.420.0LOW
Hong KongT20485617.056.0LOW
OmanT20423104.4—LOW
NepalT20363616.036.0LOW

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.

Mission Road Ground, Mong Kok, Hong KongT20411012527.588.07.247.2MEDIUM
Bayuemas Oval, Kuala LumpurT205919518.295.89.537.9LOW
YSD-UKM Cricket Oval, BangiT204354011.787.57.550.0LOW
Sano International Cricket GroundT204303010.0100.06.740.0LOW

Bowling

Mission Road Ground, Mong Kok, Hong KongT201029635.632.0LOW
YSD-UKM Cricket Oval, BangiT20908435.628.0LOW
Bayuemas Oval, Kuala LumpurT20846414.664.0LOW

By country

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

UnknownT201925030613.981.77.248.7HIGH
JapanT204303010.0100.06.740.0LOW

Bowling

UnknownT2031527385.234.1MEDIUM

By match phase

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

middleT201618120522.688.36.843.4MEDIUM
powerplayT201358888.365.98.064.8LOW
deathT20741436.895.37.034.9LOW

Bowling

powerplayT2014410634.435.3LOW
deathT20878926.144.5LOW
middleT20847835.626.0LOW

Against pace and spin

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

SPINT201914917911.583.27.347.5MEDIUM
PACET20187910513.275.26.753.3LOW
UNKNOWNT207525226.0100.07.738.5LOW

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.