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N Tanner betting stats, splits & projections

Bowler

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.

overallT202229633316.488.96.344.7HIGH
overallT20334420247.517.5MEDIUM

Why we like it

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

  • Opposition: South Korea (T20)MEDIUM sample

    146 runs off 126 balls in 8 T20 matches — strike rate 115.9 vs 88.9 overall, average 29.2 vs 16.4 overall.

  • Phase: death (T20)LOW sample

    90 runs off 62 balls in 7 T20 matches — strike rate 145.2 vs 88.9 overall, average 22.5 vs 16.4 overall.

Risks

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

  • Opposition: Indonesia (T20)MEDIUM sample

    97 runs off 123 balls in 6 T20 matches — strike rate 78.9 vs 88.9 overall, average 19.4 vs 16.4 overall.

  • Phase: middle (T20)MEDIUM sample

    148 runs off 187 balls in 16 T20 matches — strike rate 79.1 vs 88.9 overall, average 16.4 vs 16.4 overall.

  • Opposition: Japan (T20)LOW sample

    44 runs off 60 balls in 3 T20 matches — strike rate 73.3 vs 88.9 overall, average 14.7 vs 16.4 overall.

  • Phase: powerplay (T20)LOW sample

    58 runs off 84 balls in 13 T20 matches — strike rate 69.0 vs 88.9 overall, average 11.6 vs 16.4 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.

South KoreaT20814612629.2115.98.734.1MEDIUM
IndonesiaT2069712319.478.94.944.7MEDIUM
JapanT203446014.773.36.756.7LOW

Bowling

IndonesiaT2013817297.519.1LOW
South KoreaT2010011687.014.5LOW

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.

Yeonhui Cricket Ground, IncheonT20711614119.382.34.346.8MEDIUM
Udayana Cricket GroundT206586314.592.14.839.7LOW
Sano International Cricket Ground 2T203685334.0128.313.232.1LOW
Sano International Cricket GroundT202364618.078.36.545.7LOW
Terdthai Cricket Ground, BangkokT20418304.560.06.766.7LOW

Bowling

Udayana Cricket GroundT20160195167.312.2MEDIUM
Terdthai Cricket Ground, BangkokT20668427.642.0LOW
Sano International Cricket GroundT20426819.768.0LOW
Sano International Cricket Ground 2T20363335.511.0LOW

By country

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

UnknownT202026028716.390.66.344.6MEDIUM
JapanT202364618.078.36.545.7LOW

Bowling

UnknownT20292352237.215.3MEDIUM
JapanT20426819.768.0LOW

By match phase

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

middleT201614818716.479.13.243.3MEDIUM
powerplayT2013588411.669.07.158.3LOW
deathT207906222.5145.214.530.6LOW

Bowling

middleT20234257186.614.3MEDIUM
deathT208213359.726.6LOW

Against pace and spin

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

SPINT201615618214.285.76.649.5MEDIUM
PACET2014829811.783.74.143.9LOW
UNKNOWNT2085853—109.49.430.2LOW

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.