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R Lutaaya 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.

overallT202437128715.5129.317.840.8MEDIUM

Why we like it

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

  • Opposition: Rwanda (T20)MEDIUM sample

    233 runs off 183 balls in 9 T20 matches — strike rate 127.3 vs 129.3 overall, average 25.9 vs 15.5 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    254 runs off 174 balls in 23 T20 matches — strike rate 146.0 vs 129.3 overall, average 14.9 vs 15.5 overall.

  • Phase: powerplay (T20)MEDIUM sample

    213 runs off 150 balls in 21 T20 matches — strike rate 142.0 vs 129.3 overall, average 13.3 vs 15.5 overall.

  • Opposition: Tanzania (T20)LOW sample

    94 runs off 61 balls in 7 T20 matches — strike rate 154.1 vs 129.3 overall, average 13.4 vs 15.5 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    158 runs off 137 balls in 8 T20 matches — strike rate 115.3 vs 129.3 overall, average 19.8 vs 15.5 overall.

  • Bowling type: SPIN (T20)LOW sample

    110 runs off 105 balls in 9 T20 matches — strike rate 104.8 vs 129.3 overall, average 15.7 vs 15.5 overall.

Current projections

Uganda v Zambia
World T20 Qualifier
6.8 runs
median 0 · 90th percentile 23 · plays 50% · 9 balls expected

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.

RwandaT20923318325.9127.316.938.3MEDIUM
TanzaniaT207946113.4154.121.334.4LOW

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.

Gahanga International Cricket Stadium. RwandaT201531023620.7131.417.437.3MEDIUM

By country

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

UnknownT202437128715.5129.317.840.8MEDIUM

By match phase

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

powerplayT202121315013.3142.023.344.7MEDIUM
middleT20815813719.8115.311.736.5MEDIUM

Against pace and spin

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

PACET202325417414.9146.023.040.8MEDIUM
SPINT20911010515.7104.89.541.0LOW

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.