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NKF Rada Rani 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.

overallT202429937221.480.43.843.0HIGH
overallT201138964.714.8LOW

Why we like it

Splits where NKF Rada Rani scores materially faster or lasts materially longer than their own baseline in the same format.

  • Venue: Udayana Cricket Ground (T20)MEDIUM sample

    163 runs off 176 balls in 6 T20 matches — strike rate 92.6 vs 80.4 overall, average 163.0 vs 21.4 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    150 runs off 165 balls in 16 T20 matches — strike rate 90.9 vs 80.4 overall, average 21.4 vs 21.4 overall.

  • Phase: death (T20)MEDIUM sample

    139 runs off 139 balls in 16 T20 matches — strike rate 100.0 vs 80.4 overall, average 19.9 vs 21.4 overall.

  • Opposition: Mongolia (T20)LOW sample

    88 runs off 84 balls in 3 T20 matches — strike rate 104.8 vs 80.4 overall, average 88.0 vs 21.4 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    71 runs off 79 balls in 10 T20 matches — strike rate 89.9 vs 80.4 overall, average 71.0 vs 21.4 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    78 runs off 128 balls in 16 T20 matches — strike rate 60.9 vs 80.4 overall, average 13.0 vs 21.4 overall.

  • Phase: middle (T20)MEDIUM sample

    110 runs off 160 balls in 15 T20 matches — strike rate 68.8 vs 80.4 overall, average 22.0 vs 21.4 overall.

  • Phase: powerplay (T20)LOW sample

    50 runs off 73 balls in 7 T20 matches — strike rate 68.5 vs 80.4 overall, average 25.0 vs 21.4 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.

MongoliaT203888488.0104.83.629.8LOW
SingaporeT2023650—72.02.050.0LOW
BhutanT2013942—92.94.826.2LOW
United Arab EmiratesT20216408.040.02.572.5LOW

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.

Udayana Cricket GroundT206163176163.092.63.434.7MEDIUM
Bayuemas Oval, Kuala LumpurT205446022.073.30.033.3LOW
YSD-UKM Cricket Oval, BangiT202314515.568.96.757.8LOW
Albert Park 1, SuvaT203303015.0100.010.040.0LOW

Bowling

Bayuemas Oval, Kuala LumpurT20837255.214.4LOW

By country

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

UnknownT202429937221.480.43.843.0HIGH

Bowling

UnknownT201138964.714.8LOW

By match phase

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

middleT201511016022.068.81.346.3MEDIUM
deathT201613913919.9100.06.532.4MEDIUM
powerplayT207507325.068.54.156.2LOW

Bowling

middleT20605025.025.0LOW
deathT20533944.49.8LOW

Against pace and spin

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

PACET201615016521.490.94.835.2MEDIUM
SPINT20167812813.060.91.652.3MEDIUM
UNKNOWNT2010717971.089.95.144.3LOW

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.