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BM Pecic 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.

overallT201633730522.5110.512.842.6HIGH

Why we like it

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

  • Bowling type: PACE (T20)MEDIUM sample

    228 runs off 174 balls in 16 T20 matches — strike rate 131.0 vs 110.5 overall, average 38.0 vs 22.5 overall.

  • Opposition: Slovenia (T20)LOW sample

    130 runs off 60 balls in 2 T20 matches — strike rate 216.7 vs 110.5 overall, average 65.0 vs 22.5 overall.

  • Venue: Lisicji Jarak Cricket Ground (T20)LOW sample

    130 runs off 60 balls in 2 T20 matches — strike rate 216.7 vs 110.5 overall, average 65.0 vs 22.5 overall.

  • Phase: powerplay (T20)LOW sample

    123 runs off 106 balls in 13 T20 matches — strike rate 116.0 vs 110.5 overall, average 30.8 vs 22.5 overall.

Risks

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

  • Venue: Koge Cricket Club (T20)LOW sample

    90 runs off 89 balls in 3 T20 matches — strike rate 101.1 vs 110.5 overall, average 45.0 vs 22.5 overall.

  • Venue: Happy Valley Ground 2 (T20)LOW sample

    48 runs off 73 balls in 3 T20 matches — strike rate 65.8 vs 110.5 overall, average 16.0 vs 22.5 overall.

  • Venue: Bayer Uerdingen Cricket Ground (T20)LOW sample

    51 runs off 60 balls in 4 T20 matches — strike rate 85.0 vs 110.5 overall, average 12.8 vs 22.5 overall.

  • Bowling type: SPIN (T20)LOW sample

    67 runs off 92 balls in 9 T20 matches — strike rate 72.8 vs 110.5 overall, average 9.6 vs 22.5 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.

SloveniaT2021306065.0216.736.733.3LOW
BulgariaT202395819.567.25.256.9LOW
RomaniaT2016050—120.010.026.0LOW
BelgiumT202403320.0121.212.133.3LOW

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.

Koge Cricket ClubT203908945.0101.19.038.2LOW
Happy Valley Ground 2T203487316.065.84.150.7LOW
Bayer Uerdingen Cricket GroundT204516012.885.05.043.3LOW
Lisicji Jarak Cricket GroundT2021306065.0216.736.733.3LOW

By country

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

UnknownT201633730522.5110.512.842.6HIGH

By match phase

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

middleT201219217921.3107.310.638.5MEDIUM
powerplayT201312310630.8116.017.052.8LOW

Against pace and spin

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

PACET201622817438.0131.017.838.5MEDIUM
SPINT20967929.672.83.347.8LOW
UNKNOWNT206423921.0107.712.848.7LOW

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.