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II Selemani 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.

overallT2050113375723.6149.723.443.9HIGH

Why we like it

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

  • Venue: Gahanga International Cricket Stadium. Rwanda (T20)HIGH sample

    621 runs off 377 balls in 27 T20 matches — strike rate 164.7 vs 149.7 overall, average 24.8 vs 23.6 overall.

  • Opposition: Uganda (T20)MEDIUM sample

    243 runs off 147 balls in 13 T20 matches — strike rate 165.3 vs 149.7 overall, average 18.7 vs 23.6 overall.

  • Venue: Achimota Senior Secondary School B Field, Accra (T20)MEDIUM sample

    245 runs off 147 balls in 5 T20 matches — strike rate 166.7 vs 149.7 overall, average 49.0 vs 23.6 overall.

  • Bowling type: UNKNOWN (T20)LOW sample

    170 runs off 99 balls in 12 T20 matches — strike rate 171.7 vs 149.7 overall, average 34.0 vs 23.6 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    330 runs off 234 balls in 24 T20 matches — strike rate 141.0 vs 149.7 overall, average 23.6 vs 23.6 overall.

  • Phase: middle (T20)MEDIUM sample

    298 runs off 217 balls in 18 T20 matches — strike rate 137.3 vs 149.7 overall, average 19.9 vs 23.6 overall.

  • Opposition: Kenya (T20)LOW sample

    63 runs off 65 balls in 2 T20 matches — strike rate 96.9 vs 149.7 overall, average 31.5 vs 23.6 overall.

  • Venue: Wanderers Cricket Ground, Windhoek (T20)LOW sample

    52 runs off 62 balls in 4 T20 matches — strike rate 83.9 vs 149.7 overall, average 13.0 vs 23.6 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.

RwandaT201131421028.5149.525.248.1MEDIUM
UgandaT201324314718.7165.325.942.9MEDIUM
KenyaT202636531.596.99.246.2LOW
NigeriaT203595529.5107.316.460.0LOW
SeychellesT20111052110.0211.526.97.7LOW
CameroonT201713971.0182.128.233.3LOW
EswatiniT202473823.5123.718.444.7LOW
St HelenaT201633063.0210.036.726.7LOW

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. RwandaT202762137724.8164.728.146.4HIGH
Achimota Senior Secondary School B Field, AccraT20524514749.0166.724.529.3MEDIUM
Wanderers Cricket Ground, WindhoekT204526213.083.96.550.0LOW
Willowmoore Park, BenoniT204725218.0138.521.242.3LOW
Bayuemas Oval, Kuala LumpurT20439429.892.911.954.8LOW
Integrated Polytechnic Regional CentreT201713971.0182.128.233.3LOW

By country

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

UnknownT2049113075224.0150.323.543.9HIGH

By match phase

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

powerplayT204878451526.1152.227.049.1HIGH
middleT201829821719.9137.314.734.1MEDIUM

Against pace and spin

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

PACET204863342421.8149.325.748.6HIGH
SPINT202433023423.6141.020.140.2MEDIUM
UNKNOWNT20121709934.0171.721.232.3LOW

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.