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Syed Aziz 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.

overallT20841989143228.4138.919.140.7HIGH
overallT2011751397667.121.2HIGH

Why we like it

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

  • Opposition: Singapore (T20)MEDIUM sample

    346 runs off 200 balls in 11 T20 matches — strike rate 173.0 vs 138.9 overall, average 38.4 vs 28.4 overall.

  • Opposition: Papua New Guinea (T20)MEDIUM sample

    195 runs off 131 balls in 6 T20 matches — strike rate 148.9 vs 138.9 overall, average 32.5 vs 28.4 overall.

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

    256 runs off 163 balls in 10 T20 matches — strike rate 157.1 vs 138.9 overall, average 36.6 vs 28.4 overall.

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

    246 runs off 134 balls in 10 T20 matches — strike rate 183.6 vs 138.9 overall, average 61.5 vs 28.4 overall.

  • Bowling type: UNKNOWN (T20)MEDIUM sample

    301 runs off 178 balls in 27 T20 matches — strike rate 169.1 vs 138.9 overall, average 50.2 vs 28.4 overall.

  • Phase: death (T20)MEDIUM sample

    237 runs off 147 balls in 13 T20 matches — strike rate 161.2 vs 138.9 overall, average 19.8 vs 28.4 overall.

Risks

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

  • Bowling type: SPIN (T20)HIGH sample

    722 runs off 562 balls in 61 T20 matches — strike rate 128.5 vs 138.9 overall, average 24.9 vs 28.4 overall.

  • Opposition: Bahrain (T20)MEDIUM sample

    190 runs off 183 balls in 11 T20 matches — strike rate 103.8 vs 138.9 overall, average 17.3 vs 28.4 overall.

  • Opposition: Nepal (T20)MEDIUM sample

    159 runs off 132 balls in 5 T20 matches — strike rate 120.5 vs 138.9 overall, average 31.8 vs 28.4 overall.

  • Opposition: Saudi Arabia (T20)LOW sample

    107 runs off 84 balls in 4 T20 matches — strike rate 127.4 vs 138.9 overall, average 35.7 vs 28.4 overall.

  • Venue: Selangor Turf Club, Kuala Lumpur (T20)LOW sample

    105 runs off 87 balls in 4 T20 matches — strike rate 120.7 vs 138.9 overall, average 26.3 vs 28.4 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 KongT201430522123.5138.017.643.9MEDIUM
SingaporeT201134620038.4173.024.534.5MEDIUM
BahrainT201119018317.3103.89.839.9MEDIUM
NepalT20515913231.8120.517.443.2MEDIUM
Papua New GuineaT20619513132.5148.923.738.2MEDIUM
KuwaitT20516211440.5142.119.338.6LOW
Saudi ArabiaT2041078435.7127.415.544.0LOW
ThailandT2041137556.5150.722.740.0LOW
MaldivesT202654765.0138.319.134.0LOW
BhutanT203644232.0152.421.450.0LOW
BangladeshT201203120.064.59.767.7LOW
OmanT202543054.0180.030.040.0LOW

Bowling

SingaporeT2020627287.934.0MEDIUM
BahrainT20168200107.120.0MEDIUM
Hong KongT20140164117.014.9LOW
IndonesiaT20906154.112.2LOW
ThailandT20754673.76.6LOW
Saudi ArabiaT2072124210.362.0LOW
Papua New GuineaT2066129211.764.5LOW
KuwaitT20607447.418.5LOW
NepalT2060106310.635.3LOW
SamoaT20425918.459.0LOW

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.

Bayuemas Oval, Kuala LumpurT203486365827.8131.216.741.5HIGH
Singapore National Cricket GroundT201025616336.6157.125.241.1MEDIUM
Tribhuvan University International Cricket Ground, KirtipurT20721815031.1145.322.035.3MEDIUM
UKM-YSD Cricket Oval, BangiT201024613461.5183.625.433.6MEDIUM
Selangor Turf Club, Kuala LumpurT2041058726.3120.713.841.4LOW
Indian Association Ground, SingaporeT203765625.3135.716.132.1LOW
YSD-UKM Cricket Oval, BangiT20310441104.0253.746.334.1LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T20412313.038.70.058.1LOW
Terdthai Cricket Ground, BangkokT202243112.077.46.548.4LOW
Zhejiang University of Technology Cricket FieldT201203120.064.59.767.7LOW

Bowling

Bayuemas Oval, Kuala LumpurT20523565336.517.1HIGH
Singapore National Cricket GroundT2023029387.636.6MEDIUM
Terdthai Cricket Ground, BangkokT20785594.26.1LOW
Tribhuvan University International Cricket Ground, KirtipurT2072137111.4137.0LOW
UKM-YSD Cricket Oval, BangiT20617227.136.0LOW
Selangor Turf Club, Kuala LumpurT20607667.612.7LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T20557628.338.0LOW
YSD-UKM Cricket Oval, BangiT20494926.024.5LOW
Indian Association Ground, SingaporeT20477439.424.7LOW

By country

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

UnknownT20841989143228.4138.919.140.7HIGH

Bowling

UnknownT2011751397667.121.2HIGH

By match phase

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

powerplayT206497570134.8139.121.447.9HIGH
middleT204977758425.9133.014.932.9HIGH
deathT201323714719.8161.225.237.4MEDIUM

Bowling

powerplayT20642660306.222.0HIGH
deathT20367525288.618.8HIGH
middleT2016621287.726.5MEDIUM

Against pace and spin

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

PACET207496669227.6139.620.442.8HIGH
SPINT206172256224.9128.515.840.0HIGH
UNKNOWNT202730117850.2169.124.734.8MEDIUM

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.