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Juairiya Ferdous 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.

overallT202236632817.4111.616.550.6HIGH

Why we like it

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

  • Opposition: Netherlands (T20)LOW sample

    85 runs off 66 balls in 4 T20 matches — strike rate 128.8 vs 111.6 overall, average 21.3 vs 17.4 overall.

  • Bowling type: PACE (T20)LOW sample

    148 runs off 114 balls in 18 T20 matches — strike rate 129.8 vs 111.6 overall, average 21.1 vs 17.4 overall.

  • Phase: middle (T20)LOW sample

    113 runs off 79 balls in 8 T20 matches — strike rate 143.0 vs 111.6 overall, average 18.8 vs 17.4 overall.

Risks

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

  • Bowling type: SPIN (T20)MEDIUM sample

    190 runs off 184 balls in 17 T20 matches — strike rate 103.3 vs 111.6 overall, average 19.0 vs 17.4 overall.

  • Phase: powerplay (T20)MEDIUM sample

    253 runs off 248 balls in 22 T20 matches — strike rate 102.0 vs 111.6 overall, average 18.1 vs 17.4 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.

NetherlandsT204856621.3128.821.250.0LOW
Sri LankaT204745624.7132.121.437.5LOW
ThailandT201564556.0124.415.644.4LOW
ScotlandT203343711.391.910.854.1LOW
IndiaT201333033.0110.016.753.3LOW

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.

Mulpani Cricket GroundT204847921.0106.313.949.4LOW
Grange Cricket Club Ground, Raeburn Place, EdinburghT204474711.8100.014.953.2LOW
Sylhet International Cricket StadiumT203604630.0130.419.634.8LOW
Dubai International Cricket StadiumT203383712.7102.718.959.5LOW
Tribhuvan University International Cricket Ground, KirtipurT203393513.0111.414.351.4LOW
Edgbaston, BirminghamT201503350.0151.527.351.5LOW
Old Trafford, ManchesterT201333033.0110.016.753.3LOW

By country

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

UnknownT202236632817.4111.616.550.6HIGH

By match phase

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

powerplayT202225324818.1102.015.754.4MEDIUM
middleT2081137918.8143.019.038.0LOW

Against pace and spin

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

SPINT201719018419.0103.312.548.9MEDIUM
PACET201814811421.1129.822.850.0LOW
UNKNOWNT20628307.093.316.763.3LOW

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.