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K Waiswa betting stats, splits & projections

Bowler

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.

overallT204250547915.8105.412.947.2HIGH
overallT20522606417.014.8HIGH

Why we like it

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

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

    269 runs off 196 balls in 17 T20 matches — strike rate 137.2 vs 105.4 overall, average 19.2 vs 15.8 overall.

  • Bowling type: PACE (T20)MEDIUM sample

    199 runs off 166 balls in 33 T20 matches — strike rate 119.9 vs 105.4 overall, average 15.3 vs 15.8 overall.

  • Opposition: Tanzania (T20)LOW sample

    165 runs off 111 balls in 9 T20 matches — strike rate 148.6 vs 105.4 overall, average 23.6 vs 15.8 overall.

  • Opposition: Rwanda (T20)LOW sample

    104 runs off 85 balls in 8 T20 matches — strike rate 122.4 vs 105.4 overall, average 14.9 vs 15.8 overall.

  • Phase: death (T20)LOW sample

    153 runs off 111 balls in 17 T20 matches — strike rate 137.8 vs 105.4 overall, average 19.1 vs 15.8 overall.

Risks

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

  • Phase: powerplay (T20)MEDIUM sample

    136 runs off 151 balls in 18 T20 matches — strike rate 90.1 vs 105.4 overall, average 17.0 vs 15.8 overall.

  • Opposition: Namibia (T20)LOW sample

    42 runs off 64 balls in 4 T20 matches — strike rate 65.6 vs 105.4 overall, average 10.5 vs 15.8 overall.

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

    41 runs off 60 balls in 4 T20 matches — strike rate 68.3 vs 105.4 overall, average 13.7 vs 15.8 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.

TanzaniaT20916511123.6148.620.734.2LOW
RwandaT2081048514.9122.418.842.4LOW
KenyaT208817216.2112.512.545.8LOW
NamibiaT204426410.565.66.359.4LOW

Bowling

TanzaniaT20144197158.213.1LOW
KenyaT2012612285.815.3LOW
RwandaT20849176.513.0LOW
NamibiaT204882010.3—LOW

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. RwandaT201726919619.2137.219.937.8MEDIUM
United Cricket Club Ground, WindhoekT204416013.768.36.756.7LOW
Gymkhana Club Ground, NairobiT205604715.0127.710.638.3LOW
Queens Sports Club, BulawayoT203394513.086.76.748.9LOW
Willowmoore Park, BenoniT203334016.582.57.547.5LOW
Achimota Senior Secondary School B Field, AccraT202333116.5106.516.154.8LOW

Bowling

Gahanga International Cricket Stadium. RwandaT20228288227.613.1MEDIUM
Gymkhana Club Ground, NairobiT201027864.613.0LOW
Willowmoore Park, BenoniT20666986.38.6LOW
United Cricket Club Ground, WindhoekT203670011.7—LOW

By country

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

UnknownT204250547915.8105.412.947.2HIGH

Bowling

UnknownT20522606417.014.8HIGH

By match phase

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

middleT202721621713.599.511.543.3MEDIUM
powerplayT201813615117.090.112.660.9MEDIUM
deathT201715311119.1137.816.236.0LOW

Bowling

middleT20294346177.120.4MEDIUM
deathT20150177217.18.4MEDIUM
powerplayT20788336.427.7LOW

Against pace and spin

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

SPINT203226126118.6100.010.744.8MEDIUM
PACET203319916615.3119.918.751.8MEDIUM
UNKNOWNT201345529.086.55.844.2LOW

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.