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F Banunaek 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.

overallT204230736514.084.17.745.8HIGH
overallT2018362123926.923.1HIGH

Why we like it

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

  • Opposition: Philippines (T20)MEDIUM sample

    115 runs off 121 balls in 10 T20 matches — strike rate 95.0 vs 84.1 overall, average 28.8 vs 14.0 overall.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    254 runs off 274 balls in 22 T20 matches — strike rate 92.7 vs 84.1 overall, average 21.2 vs 14.0 overall.

  • Phase: middle (T20)MEDIUM sample

    141 runs off 137 balls in 12 T20 matches — strike rate 102.9 vs 84.1 overall, average 20.1 vs 14.0 overall.

Risks

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

  • Phase: powerplay (T20)MEDIUM sample

    74 runs off 128 balls in 13 T20 matches — strike rate 57.8 vs 84.1 overall, average 10.6 vs 14.0 overall.

  • Opposition: Thailand (T20)LOW sample

    70 runs off 97 balls in 6 T20 matches — strike rate 72.2 vs 84.1 overall, average 14.0 vs 14.0 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.

PhilippinesT201011512128.895.09.140.5MEDIUM
ThailandT206709714.072.25.248.5LOW
CambodiaT205403513.3114.311.434.3LOW

Bowling

CambodiaT20357452167.628.3MEDIUM
PhilippinesT20292362167.422.6MEDIUM
South KoreaT20174116154.07.7MEDIUM
ThailandT20144153106.415.3LOW
BahrainT2013919588.424.4LOW
JapanT2012014857.429.6LOW
MyanmarT2012010375.114.7LOW
SwedenT2011117639.558.7LOW
MalaysiaT2010812056.724.0LOW
SingaporeT20435818.158.0LOW
BhutanT20424035.713.3LOW
UzbekistanT20424306.1—LOW

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 GroundT202225427421.292.78.441.6MEDIUM
Terdthai Cricket Ground, BangkokT20734328.5106.315.640.6LOW
Yeonhui Cricket Ground, IncheonT20413326.540.60.059.4LOW

Bowling

Udayana Cricket GroundT2011091354577.323.8HIGH
Sano International Cricket GroundT2021620895.823.1MEDIUM
Terdthai Cricket Ground, BangkokT20175198106.819.8MEDIUM
Yeonhui Cricket Ground, IncheonT2013214396.515.9LOW
Bayuemas Oval, Kuala LumpurT20849837.032.7LOW
Singapore National Cricket GroundT20667516.875.0LOW
Gelephu International Cricket GroundT20544735.215.7LOW

By country

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

UnknownT203630234515.187.58.144.1HIGH

Bowling

UnknownT2016201915837.123.1HIGH
JapanT2021620895.823.1MEDIUM

By match phase

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

middleT201214113720.1102.910.236.5MEDIUM
powerplayT20137412810.657.84.759.4MEDIUM
deathT20279210011.592.08.041.0LOW

Bowling

powerplayT209381090407.027.3HIGH
deathT20465612317.919.7HIGH
middleT20433421215.820.0HIGH

Against pace and spin

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

SPINT202316018613.386.07.041.9MEDIUM
PACET203312716114.178.98.750.9MEDIUM

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.