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I Chuma 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.

overallT202522933513.568.46.055.5HIGH
overallT20611011.0—LOW

Why we like it

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

  • Opposition: Eswatini (T20)LOW sample

    90 runs off 115 balls in 5 T20 matches — strike rate 78.3 vs 68.4 overall, average 45.0 vs 13.5 overall.

Risks

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

  • Opposition: Sierra Leone (T20)LOW sample

    38 runs off 65 balls in 4 T20 matches — strike rate 58.5 vs 68.4 overall, average 12.7 vs 13.5 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.

EswatiniT2059011545.078.35.249.6LOW
Sierra LeoneT204386512.758.56.261.5LOW
BotswanaT20633468.371.78.758.7LOW
CameroonT202264113.063.44.958.5LOW
LesothoT203273413.579.48.850.0LOW

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.

Botswana Cricket Association Oval 2, GaboroneT201415824017.665.85.056.3MEDIUM
Botswana Cricket Association Oval 1, GaboroneT201171958.974.78.453.7LOW

By country

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

UnknownT202522933513.568.46.055.5HIGH

By match phase

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

middleT202113619915.168.36.055.8MEDIUM
deathT20138511214.275.96.350.9LOW

Against pace and spin

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

PACET202117024513.169.46.156.7MEDIUM
UNKNOWNT2012416213.766.16.556.5LOW

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.