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SF Tiai 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.

overallT202229825716.6116.015.649.0MEDIUM
overallT20600689396.917.7HIGH

Why we like it

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

  • Bowling type: PACE (T20)LOW sample

    130 runs off 104 balls in 17 T20 matches — strike rate 125.0 vs 116.0 overall, average 18.6 vs 16.6 overall.

  • Phase: death (T20)LOW sample

    124 runs off 77 balls in 11 T20 matches — strike rate 161.0 vs 116.0 overall, average 17.7 vs 16.6 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    130 runs off 130 balls in 12 T20 matches — strike rate 100.0 vs 116.0 overall, average 16.3 vs 16.6 overall.

  • Venue: Singapore National Cricket Ground (T20)LOW sample

    97 runs off 96 balls in 4 T20 matches — strike rate 101.0 vs 116.0 overall, average 24.3 vs 16.6 overall.

  • Bowling type: SPIN (T20)LOW sample

    100 runs off 110 balls in 16 T20 matches — strike rate 90.9 vs 116.0 overall, average 11.1 vs 16.6 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.

Cook IslandsT203544527.0120.017.855.6LOW
SingaporeT202393919.5100.017.956.4LOW
MalaysiaT201453845.0118.415.852.6LOW
FijiT203443114.7141.922.648.4LOW

Bowling

VanuatuT20120144107.214.4LOW
Cook IslandsT20968035.026.7LOW
FijiT208090106.89.0LOW
MalaysiaT20487449.318.5LOW
JapanT20424806.9—LOW
SingaporeT20425327.626.5LOW
Papua New GuineaT20363946.59.8LOW

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.

Singapore National Cricket GroundT204979624.3101.014.654.2LOW
Independence Park, Port VilaT205754918.8153.124.546.9LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T204704523.3155.617.835.6LOW
Faleata Oval No 2, ApiaT205354511.777.88.957.8LOW

Bowling

Faleata Oval No 2, ApiaT20129149136.911.5LOW
Sano International Cricket GroundT20120110115.510.0LOW
Independence Park, Port VilaT2011913456.826.8LOW
Singapore National Cricket GroundT2011215568.325.8LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T209612828.064.0LOW

By country

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

UnknownT201928224218.8116.515.749.2MEDIUM

Bowling

UnknownT20480579287.220.7HIGH
JapanT20120110115.510.0LOW

By match phase

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

middleT201213013016.3100.013.153.8MEDIUM
deathT20111247717.7161.020.828.6LOW
powerplayT209445014.788.014.068.0LOW

Bowling

middleT20354401146.828.6MEDIUM
powerplayT20132141106.414.1LOW
deathT20114147157.79.8LOW

Against pace and spin

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

SPINT201610011011.190.910.955.5LOW
PACET201713010418.6125.015.446.2LOW
UNKNOWNT208684334.0158.127.939.5LOW

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.