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Erika Oda betting stats, splits & projections

Batter

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.

overallT202951755519.993.212.651.5HIGH

Why we like it

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

  • Bowling type: UNKNOWN (T20)MEDIUM sample

    169 runs off 147 balls in 19 T20 matches — strike rate 115.0 vs 93.2 overall, average 21.1 vs 19.9 overall.

  • Opposition: Singapore (T20)LOW sample

    100 runs off 85 balls in 3 T20 matches — strike rate 117.6 vs 93.2 overall, average 100.0 vs 19.9 overall.

  • Opposition: Samoa (T20)LOW sample

    73 runs off 63 balls in 2 T20 matches — strike rate 115.9 vs 93.2 overall, average 36.5 vs 19.9 overall.

  • Venue: Sano International Cricket Ground (T20)LOW sample

    100 runs off 85 balls in 3 T20 matches — strike rate 117.6 vs 93.2 overall, average 100.0 vs 19.9 overall.

Risks

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

  • Opposition: Hong Kong (T20)MEDIUM sample

    101 runs off 124 balls in 6 T20 matches — strike rate 81.5 vs 93.2 overall, average 16.8 vs 19.9 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    237 runs off 293 balls in 26 T20 matches — strike rate 80.9 vs 93.2 overall, average 16.9 vs 19.9 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.

Hong KongT20610112416.881.58.954.8MEDIUM
SingaporeT20310085100.0117.616.547.1LOW
FijiT203707035.0100.014.345.7LOW
SamoaT202736336.5115.917.542.9LOW
Cook IslandsT201484348.0111.616.339.5LOW
United Arab EmiratesT201173017.056.710.070.0LOW

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.

Sano International Cricket GroundT20310085100.0117.616.547.1LOW
Kaizuka Cricket GroundT204707817.589.710.353.8LOW
Vanuatu Cricket GroundT204697817.388.512.851.3LOW
Albert Park 1, SuvaT203667522.088.013.353.3LOW
Vanuatu Cricket Ground (Oval 2)T202775877.0132.819.032.8LOW
Selangor Turf Club, Kuala LumpurT202224211.052.47.169.0LOW
Bayuemas Oval, Kuala LumpurT20431387.881.67.952.6LOW
YSD-UKM Cricket Oval, BangiT202253512.571.45.751.4LOW

By country

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

UnknownT202641747016.788.711.952.3HIGH
JapanT20310085100.0117.616.547.1LOW

By match phase

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

powerplayT202530332127.594.413.452.0HIGH
middleT201721122716.293.011.950.2MEDIUM

Against pace and spin

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

PACET202623729316.980.910.957.0MEDIUM
UNKNOWNT201916914721.1115.015.640.8MEDIUM
SPINT201311111527.896.513.051.3LOW

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.