£
ExclusiveFreeBets
.com

A Kato-Stafford 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.

overallT20932134345.993.67.041.4HIGH
overallT20192133124.211.1MEDIUM

Why we like it

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

  • Venue: Bayuemas Oval, Kuala Lumpur (T20)MEDIUM sample

    176 runs off 153 balls in 3 T20 matches — strike rate 115.0 vs 93.6 overall, average 58.7 vs 45.9 overall.

  • Phase: middle (T20)MEDIUM sample

    177 runs off 170 balls in 7 T20 matches — strike rate 104.1 vs 93.6 overall, average 59.0 vs 45.9 overall.

  • Opposition: Bahrain (T20)LOW sample

    63 runs off 61 balls in 1 T20 match — strike rate 103.3 vs 93.6 overall, average 63.0 vs 45.9 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    89 runs off 64 balls in 4 T20 matches — strike rate 139.1 vs 93.6 overall, average 22.3 vs 45.9 overall.

Risks

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

  • Venue: Sano International Cricket Ground (T20)MEDIUM sample

    98 runs off 133 balls in 4 T20 matches — strike rate 73.7 vs 93.6 overall, average 32.7 vs 45.9 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    107 runs off 143 balls in 9 T20 matches — strike rate 74.8 vs 93.6 overall, average 107.0 vs 45.9 overall.

  • Phase: powerplay (T20)MEDIUM sample

    65 runs off 121 balls in 9 T20 matches — strike rate 53.7 vs 93.6 overall, average 32.5 vs 45.9 overall.

  • Opposition: Hong Kong (T20)LOW sample

    60 runs off 82 balls in 3 T20 matches — strike rate 73.2 vs 93.6 overall, average 30.0 vs 45.9 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.

Hong KongT203608230.073.22.450.0LOW
BahrainT201636163.0103.36.626.2LOW
MongoliaT201845284.0161.519.225.0LOW
MyanmarT2014244—95.52.327.3LOW
ChinaT201364136.087.89.853.7LOW
ThailandT201294029.072.57.550.0LOW

Bowling

Hong KongT20546737.422.3LOW

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.

Bayuemas Oval, Kuala LumpurT20317615358.7115.011.132.0MEDIUM
Sano International Cricket GroundT2049813332.773.74.554.1MEDIUM
Selangor Turf Club, Kuala LumpurT2014244—95.52.327.3LOW

Bowling

Sano International Cricket GroundT20845744.114.3LOW
Bayuemas Oval, Kuala LumpurT20663933.513.0LOW

By country

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

UnknownT20522321055.8106.28.633.3MEDIUM
JapanT2049813332.773.74.554.1MEDIUM

Bowling

UnknownT201087684.29.5LOW
JapanT20845744.114.3LOW

By match phase

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

middleT20717717059.0104.17.132.9MEDIUM
powerplayT2096512132.553.72.564.5MEDIUM
deathT203795239.5151.917.315.4LOW

Bowling

middleT20905763.89.5LOW
powerplayT20724533.815.0LOW

Against pace and spin

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

PACET209107143107.074.82.844.8MEDIUM
SPINT20712513662.591.97.442.6MEDIUM
UNKNOWNT204896422.3139.115.631.3LOW

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.