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J Nkomo betting stats, splits & projections

All-rounder

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.

overallODI1535451935.468.27.157.8HIGH
overallT203037041323.189.67.044.6HIGH
overallT20850748515.314.7HIGH
overallODI679422223.719.2HIGH

Why we like it

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

  • Venue: Harare Sports Club (ODI)HIGH sample

    323 runs off 464 balls in 11 ODI matches — strike rate 69.6 vs 68.2 overall, average 46.1 vs 35.4 overall.

  • Opposition: United States of America (ODI)MEDIUM sample

    150 runs off 191 balls in 5 ODI matches — strike rate 78.5 vs 68.2 overall, average 75.0 vs 35.4 overall.

  • Phase: death (T20)MEDIUM sample

    198 runs off 180 balls in 26 T20 matches — strike rate 110.0 vs 89.6 overall, average 15.2 vs 23.1 overall.

  • Phase: death (ODI)MEDIUM sample

    120 runs off 135 balls in 5 ODI matches — strike rate 88.9 vs 68.2 overall, average 120.0 vs 35.4 overall.

  • Opposition: United Arab Emirates (T20)LOW sample

    85 runs off 71 balls in 4 T20 matches — strike rate 119.7 vs 89.6 overall, average 42.5 vs 23.1 overall.

Risks

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

  • Phase: middle (ODI)HIGH sample

    214 runs off 360 balls in 13 ODI matches — strike rate 59.4 vs 68.2 overall, average 26.8 vs 35.4 overall.

  • Phase: middle (T20)MEDIUM sample

    168 runs off 228 balls in 17 T20 matches — strike rate 73.7 vs 89.6 overall, average 56.0 vs 23.1 overall.

Current projections

India v Zimbabwe
Women's T20I
3.8 runs
median 0 · 90th percentile 15 · plays 47% · 13 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.

IrelandODI416423254.770.76.050.9MEDIUM
United States of AmericaODI515019175.078.59.958.1MEDIUM
UgandaT204637431.585.18.151.4LOW
United Arab EmiratesT204857142.5119.78.528.2LOW
NetherlandsT202475847.081.05.241.4LOW
ThailandODI2315031.062.08.066.0LOW
Papua New GuineaODI29414.522.00.080.5LOW
New ZealandT201253425.073.52.947.1LOW
ThailandT205203010.066.73.353.3LOW

Bowling

United States of AmericaODI24514773.621.0MEDIUM
IrelandODI21014544.136.3MEDIUM
NamibiaT20162101103.710.1MEDIUM
United Arab EmiratesT2012713796.515.2LOW
ThailandT2010211546.828.8LOW
Papua New GuineaODI923862.56.3LOW
Papua New GuineaT20907454.914.8LOW
UgandaT20906364.210.5LOW
ThailandODI846644.716.5LOW
PakistanODI482613.326.0LOW
NetherlandsT20484425.522.0LOW
IrelandT20425718.157.0LOW
NigeriaT20421562.12.5LOW

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.

Harare Sports ClubODI1132346446.169.67.156.5HIGH
Terdthai Cricket Ground, BangkokODI2315031.062.08.066.0LOW
Centre for Cricket Development Ground, WindhoekT202535053.0106.012.046.0LOW
Queens Sports Club, BulawayoT202524352.0120.99.323.3LOW
Tolerance Oval, Abu DhabiT2013941—95.17.336.6LOW
Entebbe Cricket OvalT203334016.582.57.550.0LOW
Wanderers Cricket Ground, WindhoekT204404013.3100.07.545.0LOW
Achimota Senior Secondary School A Field, AccraT203253825.065.82.652.6LOW
Seddon Park, HamiltonT201253425.073.52.947.1LOW

Bowling

Harare Sports ClubODI547330173.619.4HIGH
Wanderers Cricket Ground, WindhoekT2010212447.331.0LOW
Centre for Cricket Development Ground, WindhoekT20965973.78.4LOW
Terdthai Cricket Ground, BangkokODI846644.716.5LOW
Harare Sports ClubT20786344.815.8LOW
Entebbe Cricket OvalT20723232.710.7LOW
Namibia Cricket Ground, WindhoekT20726355.312.6LOW
Achimota Senior Secondary School A Field, AccraT20603453.46.8LOW
Sheikh Zayed Stadium, Abu DhabiT20607227.236.0LOW
Tolerance Oval, Abu DhabiT20605065.08.3LOW
Sunrise Sports Club, HarareODI482613.326.0LOW
Terdthai Cricket Ground, BangkokT20484916.149.0LOW
Zayed Cricket Stadium, Abu DhabiT20485226.526.0LOW
Tribhuvan University International Cricket Ground, KirtipurT20454435.914.7LOW

By country

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

ZimbabweODI1132346446.169.67.156.5HIGH
UnknownT202836240024.190.57.244.3HIGH
UnknownODI4315510.356.47.369.1LOW

Bowling

UnknownT20772685475.314.6HIGH
ZimbabweODI547330173.619.4HIGH
UnknownODI1329254.218.4LOW
ZimbabweT20786344.815.8LOW

By match phase

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

middleODI1321436026.859.46.463.6HIGH
middleT201716822856.073.75.351.8MEDIUM
deathT202619818015.2110.08.934.4MEDIUM
deathODI5120135120.088.98.143.7MEDIUM

Bowling

powerplayT20480395204.919.8HIGH
powerplayODI31218863.631.3MEDIUM
deathT20238254236.411.0MEDIUM
middleODI23411793.013.0MEDIUM
deathODI13311775.316.7LOW
middleT201329984.512.4LOW

Against pace and spin

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

SPINODI1528140728.169.07.457.7HIGH
SPINT202929334018.386.27.147.4HIGH
PACEODI66485—75.38.254.1LOW
PACET20146259—105.16.828.8LOW

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.