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Rinitha Rajith 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.

overallT204446543614.1106.714.444.5HIGH
overallT2012713.57.0LOW

Why we like it

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

  • Bowling type: UNKNOWN (T20)LOW sample

    128 runs off 78 balls in 13 T20 matches — strike rate 164.1 vs 106.7 overall, average 128.0 vs 14.1 overall.

  • Phase: death (T20)LOW sample

    155 runs off 119 balls in 16 T20 matches — strike rate 130.3 vs 106.7 overall, average 17.2 vs 14.1 overall.

  • Phase: powerplay (T20)LOW sample

    133 runs off 116 balls in 20 T20 matches — strike rate 114.7 vs 106.7 overall, average 13.3 vs 14.1 overall.

Risks

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

  • Opposition: Namibia (T20)MEDIUM sample

    118 runs off 129 balls in 11 T20 matches — strike rate 91.5 vs 106.7 overall, average 13.1 vs 14.1 overall.

  • Bowling type: SPIN (T20)MEDIUM sample

    193 runs off 226 balls in 37 T20 matches — strike rate 85.4 vs 106.7 overall, average 12.9 vs 14.1 overall.

  • Phase: middle (T20)MEDIUM sample

    177 runs off 201 balls in 24 T20 matches — strike rate 88.1 vs 106.7 overall, average 12.6 vs 14.1 overall.

  • Venue: Dubai International Cricket Stadium (T20)LOW sample

    80 runs off 116 balls in 8 T20 matches — strike rate 69.0 vs 106.7 overall, average 11.4 vs 14.1 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.

NamibiaT201111812913.191.510.948.1MEDIUM
QatarT2031035851.5177.629.325.9LOW
ThailandT204394119.595.117.161.0LOW

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.

Dubai International Cricket StadiumT2088011611.469.05.251.7LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T201965196.0188.231.423.5LOW
Asian Institute of Technology Ground, BangkokT203374918.575.58.249.0LOW
Terdthai Cricket Ground, BangkokT20644407.3110.022.562.5LOW
United Cricket Club Ground, WindhoekT203303715.081.110.856.8LOW
Bayuemas Oval, Kuala LumpurT203423442.0123.517.635.3LOW

By country

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

UnknownT204446543614.1106.714.444.5HIGH

By match phase

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

middleT202417720112.688.110.450.7MEDIUM
deathT201615511917.2130.316.830.3LOW
powerplayT202013311613.3114.719.048.3LOW

Against pace and spin

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

SPINT203719322612.985.48.847.3MEDIUM
PACET20291441328.5109.117.449.2MEDIUM
UNKNOWNT201312878128.0164.125.628.2LOW

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.