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Avishka Iroshan 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.

overallT202759050731.1116.415.241.2HIGH
overallT20140205118.818.6LOW

Why we like it

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

  • Opposition: Austria (T20)MEDIUM sample

    170 runs off 141 balls in 7 T20 matches — strike rate 120.6 vs 116.4 overall, average 42.5 vs 31.1 overall.

  • Bowling type: SPIN (T20)MEDIUM sample

    221 runs off 173 balls in 19 T20 matches — strike rate 127.7 vs 116.4 overall, average 44.2 vs 31.1 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    87 runs off 69 balls in 12 T20 matches — strike rate 126.1 vs 116.4 overall, average 87.0 vs 31.1 overall.

  • Phase: death (T20)LOW sample

    92 runs off 62 balls in 9 T20 matches — strike rate 148.4 vs 116.4 overall, average 23.0 vs 31.1 overall.

Risks

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

  • Bowling type: PACE (T20)MEDIUM sample

    282 runs off 265 balls in 25 T20 matches — strike rate 106.4 vs 116.4 overall, average 21.7 vs 31.1 overall.

  • Phase: powerplay (T20)LOW sample

    80 runs off 92 balls in 12 T20 matches — strike rate 87.0 vs 116.4 overall, average 26.7 vs 31.1 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.

AustriaT20717014142.5120.616.342.6MEDIUM
Czech RepublicT20412211230.5108.913.437.5LOW
BulgariaT204875129.0170.627.537.3LOW
BelgiumT203444614.795.78.745.7LOW
GibraltarT2015344—120.511.431.8LOW
FranceT201463746.0124.318.948.6LOW
SwitzerlandT202303030.0100.010.040.0LOW

Bowling

Czech RepublicT20689178.013.0LOW
AustriaT203674212.337.0LOW

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.

Moara Vlasiei Cricket Ground, Ilfov CountyT202250641931.6120.816.540.1HIGH
Svanholm Park, BrondbyT202534553.0117.811.133.3LOW

Bowling

Moara Vlasiei Cricket Ground, Ilfov CountyT20140205118.818.6LOW

By country

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

UnknownT202759050731.1116.415.241.2HIGH

Bowling

UnknownT20140205118.818.6LOW

By match phase

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

middleT202341835334.8118.414.740.2HIGH
powerplayT2012809226.787.013.054.3LOW
deathT209926223.0148.421.027.4LOW

Bowling

middleT207810077.714.3LOW
deathT205093411.223.3LOW

Against pace and spin

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

PACET202528226521.7106.414.047.9MEDIUM
SPINT201922117344.2127.716.834.7MEDIUM
UNKNOWNT2012876987.0126.115.931.9LOW

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.