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Tenjin Rabgey 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.

overallT203552659916.487.89.750.9HIGH
overallT20302615.226.0LOW

Why we like it

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

  • Opposition: Myanmar (T20)MEDIUM sample

    166 runs off 140 balls in 6 T20 matches — strike rate 118.6 vs 87.8 overall, average 27.7 vs 16.4 overall.

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

    274 runs off 234 balls in 10 T20 matches — strike rate 117.1 vs 87.8 overall, average 30.4 vs 16.4 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    102 runs off 94 balls in 11 T20 matches — strike rate 108.5 vs 87.8 overall, average 12.8 vs 16.4 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    126 runs off 165 balls in 15 T20 matches — strike rate 76.4 vs 87.8 overall, average 11.5 vs 16.4 overall.

  • Opposition: Thailand (T20)LOW sample

    71 runs off 89 balls in 7 T20 matches — strike rate 79.8 vs 87.8 overall, average 11.8 vs 16.4 overall.

  • Venue: Terdthai Cricket Ground, Bangkok (T20)LOW sample

    46 runs off 98 balls in 11 T20 matches — strike rate 46.9 vs 87.8 overall, average 4.6 vs 16.4 overall.

  • Venue: West End Park International Cricket Stadium, Doha (T20)LOW sample

    47 runs off 67 balls in 3 T20 matches — strike rate 70.1 vs 87.8 overall, average 15.7 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.

MyanmarT20616614027.7118.614.337.1MEDIUM
IndonesiaT2039610448.092.39.649.0LOW
ThailandT207718911.879.810.156.2LOW
MaldivesT20735545.064.87.463.0LOW
ChinaT2015047—106.48.531.9LOW
Saudi ArabiaT20320406.750.05.065.0LOW
BahrainT20215327.546.93.162.5LOW
MalaysiaT202203110.064.56.571.0LOW

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.

Gelephu International Cricket GroundT201027423430.4117.115.041.0MEDIUM
Bayuemas Oval, Kuala LumpurT20410312134.385.16.648.8MEDIUM
Terdthai Cricket Ground, BangkokT201146984.646.94.167.3LOW
West End Park International Cricket Stadium, DohaT203476715.770.17.552.2LOW
University of Doha for Science and TechnologyT20326418.763.47.373.2LOW
UKM-YSD Cricket Oval, BangiT20430387.578.97.950.0LOW

By country

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

UnknownT203552659916.487.89.750.9HIGH

By match phase

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

powerplayT203531438416.581.810.759.1HIGH
middleT201512616511.576.44.840.6MEDIUM
deathT204865043.0172.018.022.0LOW

Against pace and spin

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

PACET203125730616.184.010.154.2HIGH
SPINT202116719920.983.97.550.8MEDIUM
UNKNOWNT20111029412.8108.512.840.4LOW

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.