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A Makri 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.

overallT203236154412.966.45.956.6HIGH
overallT20611624266.124.0HIGH

Why we like it

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

  • Opposition: Bulgaria (T20)LOW sample

    83 runs off 60 balls in 2 T20 matches — strike rate 138.3 vs 66.4 overall, average 83.0 vs 12.9 overall.

  • Venue: Vassil Levski National Sports Academy, Sofia (T20)LOW sample

    105 runs off 106 balls in 4 T20 matches — strike rate 99.1 vs 66.4 overall, average 52.5 vs 12.9 overall.

Risks

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

  • Opposition: Germany (T20)MEDIUM sample

    69 runs off 125 balls in 4 T20 matches — strike rate 55.2 vs 66.4 overall, average 17.3 vs 12.9 overall.

  • Opposition: Spain (T20)LOW sample

    30 runs off 67 balls in 4 T20 matches — strike rate 44.8 vs 66.4 overall, average 7.5 vs 12.9 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.

GermanyT2046912517.355.24.062.4MEDIUM
DenmarkT204599514.862.13.249.5LOW
SpainT20430677.544.81.565.7LOW
CyprusT20539657.860.04.666.2LOW
BulgariaT202836083.0138.321.735.0LOW
Isle of ManT20523365.863.98.361.1LOW
SerbiaT202273627.075.08.347.2LOW

Bowling

CyprusT201147954.215.8LOW
DenmarkT20979135.630.3LOW
GermanyT208911527.857.5LOW
Isle of ManT2077138210.869.0LOW
SerbiaT20484135.113.7LOW
TurkeyT20484135.113.7LOW
RomaniaT20363726.218.5LOW

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.

Marina Ground, CorfuT201318229915.260.94.357.5MEDIUM
Vassil Levski National Sports Academy, SofiaT20410510652.599.112.342.5LOW
Happy Valley Ground 2T20539657.860.04.666.2LOW
Moara Vlasiei Cricket Ground, Ilfov CountyT20722523.142.33.867.3LOW

Bowling

Marina Ground, CorfuT2021624266.740.3MEDIUM
Moara Vlasiei Cricket Ground, Ilfov CountyT2012012956.425.8LOW
Happy Valley Ground 2T201147954.215.8LOW
Vassil Levski National Sports Academy, SofiaT20968875.512.6LOW
Marsa Sports ClubT20658637.928.7LOW

By country

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

UnknownT203236154412.966.45.956.6HIGH

Bowling

UnknownT20611624266.124.0HIGH

By match phase

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

middleT202018426411.569.76.156.1MEDIUM
powerplayT202116225720.363.05.456.8MEDIUM

Bowling

powerplayT20343360126.330.0MEDIUM
middleT2019020486.425.5MEDIUM
deathT20786064.610.0LOW

Against pace and spin

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

PACET202819729814.166.15.756.7MEDIUM
UNKNOWNT202210415310.468.05.954.9MEDIUM
SPINT2012609315.064.56.559.1LOW

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.