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Bilal Tahir 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.

overallT204063443524.4145.718.635.9HIGH
overallT20747466.012.3LOW

Why we like it

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

  • Opposition: Hong Kong (T20)MEDIUM sample

    246 runs off 144 balls in 9 T20 matches — strike rate 170.8 vs 145.7 overall, average 49.2 vs 24.4 overall.

  • Venue: Mission Road Ground, Mong Kok, Hong Kong (T20)MEDIUM sample

    202 runs off 120 balls in 10 T20 matches — strike rate 168.3 vs 145.7 overall, average 40.4 vs 24.4 overall.

  • Phase: death (T20)MEDIUM sample

    342 runs off 204 balls in 25 T20 matches — strike rate 167.6 vs 145.7 overall, average 20.1 vs 24.4 overall.

  • Venue: Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2) (T20)LOW sample

    96 runs off 60 balls in 3 T20 matches — strike rate 160.0 vs 145.7 overall, average 96.0 vs 24.4 overall.

Risks

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

  • Phase: middle (T20)MEDIUM sample

    270 runs off 213 balls in 31 T20 matches — strike rate 126.8 vs 145.7 overall, average 30.0 vs 24.4 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.

Hong KongT20924614449.2170.821.534.7MEDIUM
BahrainT2061077535.7142.718.733.3LOW
United Arab EmiratesT205795615.8141.121.435.7LOW
NepalT203463315.3139.418.239.4LOW
OmanT203373318.5112.112.136.4LOW
MalaysiaT20431317.8100.09.745.2LOW

Bowling

Hong KongT20363826.319.0LOW

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.

Mission Road Ground, Mong Kok, Hong KongT201020212040.4168.323.335.8MEDIUM
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2)T203966096.0160.021.725.0LOW
Selangor Turf Club, Kuala LumpurT204865428.7159.316.731.5LOW
Mulpani Cricket GroundT203665333.0124.517.047.2LOW
Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T207715114.2139.217.635.3LOW

Bowling

Mission Road Ground, Mong Kok, Hong KongT20424927.024.5LOW

By country

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

UnknownT204063443524.4145.718.635.9HIGH

Bowling

UnknownT20747466.012.3LOW

By match phase

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

middleT203127021330.0126.815.538.5MEDIUM
deathT202534220420.1167.622.132.8MEDIUM

Bowling

middleT20484826.024.0LOW

Against pace and spin

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

SPINT203329319824.4148.019.238.4MEDIUM
PACET202621615427.0140.316.931.2MEDIUM
UNKNOWNT20171258320.8150.620.538.6LOW

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.