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A Patmore 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.

overallT202841445618.090.88.641.0HIGH

Why we like it

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

  • Venue: Terdthai Cricket Ground, Bangkok (T20)MEDIUM sample

    158 runs off 158 balls in 6 T20 matches — strike rate 100.0 vs 90.8 overall, average 31.6 vs 18.0 overall.

  • Opposition: Thailand (T20)LOW sample

    61 runs off 61 balls in 3 T20 matches — strike rate 100.0 vs 90.8 overall, average 20.3 vs 18.0 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    76 runs off 74 balls in 9 T20 matches — strike rate 102.7 vs 90.8 overall, average 38.0 vs 18.0 overall.

  • Phase: death (T20)LOW sample

    86 runs off 85 balls in 12 T20 matches — strike rate 101.2 vs 90.8 overall, average 10.8 vs 18.0 overall.

Risks

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

  • Phase: powerplay (T20)MEDIUM sample

    93 runs off 120 balls in 16 T20 matches — strike rate 77.5 vs 90.8 overall, average 31.0 vs 18.0 overall.

  • Opposition: Indonesia (T20)LOW sample

    75 runs off 94 balls in 4 T20 matches — strike rate 79.8 vs 90.8 overall, average 18.8 vs 18.0 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.

IndonesiaT204759418.879.83.244.7LOW
ThailandT203616120.3100.08.231.1LOW
PhilippinesT20538587.665.53.451.7LOW
MongoliaT202725572.0130.916.432.7LOW
BhutanT201434343.0100.011.641.9LOW

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 GroundT201120421422.795.37.537.9MEDIUM
Terdthai Cricket Ground, BangkokT20615815831.6100.013.341.1MEDIUM
Yeonhui Cricket Ground, IncheonT20426368.772.25.650.0LOW
Amini Park, Port MoresbyT20419354.854.30.048.6LOW

By country

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

UnknownT201721024215.086.89.543.8MEDIUM
JapanT201120421422.795.37.537.9MEDIUM

By match phase

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

middleT201923525119.693.68.839.4MEDIUM
powerplayT20169312031.077.57.553.3MEDIUM
deathT2012868510.8101.29.428.2LOW

Against pace and spin

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

SPINT202216619315.186.06.740.9MEDIUM
PACET202017218917.291.09.042.3MEDIUM
UNKNOWNT209767438.0102.712.237.8LOW

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.