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K Oala 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.

overallT201736430222.8120.519.952.0HIGH
overallT20121708.5—LOW

Why we like it

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

  • Opposition: Philippines (T20)LOW sample

    124 runs off 64 balls in 1 T20 match — strike rate 193.8 vs 120.5 overall, not yet dismissed vs 22.8 overall.

  • Venue: Albert Park 1, Suva (T20)LOW sample

    145 runs off 80 balls in 3 T20 matches — strike rate 181.3 vs 120.5 overall, average 72.5 vs 22.8 overall.

  • Phase: middle (T20)LOW sample

    113 runs off 75 balls in 5 T20 matches — strike rate 150.7 vs 120.5 overall, average 37.7 vs 22.8 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    189 runs off 171 balls in 15 T20 matches — strike rate 110.5 vs 120.5 overall, average 18.9 vs 22.8 overall.

  • Phase: powerplay (T20)MEDIUM sample

    206 runs off 202 balls in 17 T20 matches — strike rate 102.0 vs 120.5 overall, average 17.2 vs 22.8 overall.

  • Venue: Mulpani Cricket Ground (T20)LOW sample

    77 runs off 71 balls in 3 T20 matches — strike rate 108.5 vs 120.5 overall, average 25.7 vs 22.8 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.

PhilippinesT20112464—193.837.534.4LOW
ThailandT203364512.080.011.166.7LOW
JapanT201503950.0128.220.551.3LOW
United States of AmericaT201413941.0105.17.730.8LOW

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.

Albert Park 1, SuvaT2031458072.5181.335.037.5LOW
Mulpani Cricket GroundT203777125.7108.514.143.7LOW
Terdthai Cricket Ground, BangkokT20437509.374.012.072.0LOW
Albert Park 2, SuvaT202624931.0126.520.451.0LOW

By country

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

UnknownT201736430222.8120.519.952.0HIGH

By match phase

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

powerplayT201720620217.2102.018.362.9MEDIUM
middleT2051137537.7150.721.336.0LOW

Against pace and spin

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

PACET201518917118.9110.520.559.6MEDIUM
SPINT201114411424.0126.317.543.9LOW

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.