S Vijay Unni 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.
| overall | T20 | 39 | 319 | 374 | 15.9 | 85.3 | 7.8 | 43.0 | HIGH |
| overall | T20 | 1349 | 1381 | 78 | 6.1 | 17.7 | HIGH |
Why we like it
Splits where S Vijay Unni scores materially faster or lasts materially longer than their own baseline in the same format.
- Bowling type: PACE (T20)MEDIUM sample
146 runs off 132 balls in 27 T20 matches — strike rate 110.6 vs 85.3 overall, average 36.5 vs 15.9 overall.
- Phase: death (T20)MEDIUM sample
167 runs off 174 balls in 27 T20 matches — strike rate 96.0 vs 85.3 overall, average 13.9 vs 15.9 overall.
Risks
Splits pointing the other way — the conditions and opponents where the record is worse than usual.
- Venue: Bayuemas Oval, Kuala Lumpur (T20)MEDIUM sample
154 runs off 207 balls in 21 T20 matches — strike rate 74.4 vs 85.3 overall, average 14.0 vs 15.9 overall.
- Bowling type: SPIN (T20)MEDIUM sample
144 runs off 205 balls in 30 T20 matches — strike rate 70.2 vs 85.3 overall, average 12.0 vs 15.9 overall.
- Phase: middle (T20)MEDIUM sample
131 runs off 185 balls in 17 T20 matches — strike rate 70.8 vs 85.3 overall, average 18.7 vs 15.9 overall.
- Opposition: Bahrain (T20)LOW sample
57 runs off 81 balls in 6 T20 matches — strike rate 70.4 vs 85.3 overall, average 14.3 vs 15.9 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 Kong | T20 | 10 | 104 | 112 | 14.9 | 92.9 | 8.0 | 36.6 | LOW |
| Bahrain | T20 | 6 | 57 | 81 | 14.3 | 70.4 | 6.2 | 56.8 | LOW |
| Papua New Guinea | T20 | 3 | 25 | 35 | — | 71.4 | 2.9 | 40.0 | LOW |
| Saudi Arabia | T20 | 4 | 32 | 31 | 16.0 | 103.2 | 12.9 | 35.5 | LOW |
Bowling
| Hong Kong | T20 | 258 | 263 | 14 | 6.1 | 18.8 | MEDIUM |
| Bahrain | T20 | 138 | 172 | 6 | 7.5 | 28.7 | LOW |
| Singapore | T20 | 128 | 129 | 10 | 6.0 | 12.9 | LOW |
| Thailand | T20 | 108 | 75 | 11 | 4.2 | 6.8 | LOW |
| Papua New Guinea | T20 | 84 | 102 | 5 | 7.3 | 20.4 | LOW |
| Saudi Arabia | T20 | 84 | 82 | 5 | 5.9 | 16.4 | LOW |
| Kuwait | T20 | 72 | 58 | 5 | 4.8 | 11.6 | LOW |
| Nepal | T20 | 68 | 109 | 2 | 9.6 | 54.5 | LOW |
| Indonesia | T20 | 66 | 40 | 1 | 3.6 | 40.0 | LOW |
| Oman | T20 | 48 | 44 | 4 | 5.5 | 11.0 | LOW |
| Samoa | T20 | 48 | 71 | 1 | 8.9 | 71.0 | LOW |
| Qatar | T20 | 42 | 52 | 1 | 7.4 | 52.0 | LOW |
| Bhutan | T20 | 36 | 34 | 2 | 5.7 | 17.0 | 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.
| Bayuemas Oval, Kuala Lumpur | T20 | 21 | 154 | 207 | 14.0 | 74.4 | 5.8 | 47.8 | MEDIUM |
| Mission Road Ground, Mong Kok, Hong Kong | T20 | 4 | 53 | 48 | 17.7 | 110.4 | 14.6 | 37.5 | LOW |
| Tribhuvan University International Cricket Ground, Kirtipur | T20 | 3 | 25 | 30 | 25.0 | 83.3 | 6.7 | 33.3 | LOW |
Bowling
| Bayuemas Oval, Kuala Lumpur | T20 | 621 | 608 | 37 | 5.9 | 16.4 | HIGH |
| Singapore National Cricket Ground | T20 | 240 | 239 | 21 | 6.0 | 11.4 | MEDIUM |
| Mission Road Ground, Mong Kok, Hong Kong | T20 | 96 | 87 | 5 | 5.4 | 17.4 | LOW |
| Al Amerat Cricket Ground Oman Cricket (Ministry Turf 2) | T20 | 90 | 93 | 4 | 6.2 | 23.3 | LOW |
| Terdthai Cricket Ground, Bangkok | T20 | 66 | 59 | 4 | 5.4 | 14.8 | LOW |
| Tribhuvan University International Cricket Ground, Kirtipur | T20 | 66 | 108 | 1 | 9.8 | 108.0 | LOW |
| YSD-UKM Cricket Oval, Bangi | T20 | 54 | 57 | 2 | 6.3 | 28.5 | LOW |
| UKM-YSD Cricket Oval, Bangi | T20 | 36 | 18 | 2 | 3.0 | 9.0 | LOW |
By country
Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.
| Unknown | T20 | 39 | 319 | 374 | 15.9 | 85.3 | 7.8 | 43.0 | HIGH |
Bowling
| Unknown | T20 | 1349 | 1381 | 78 | 6.1 | 17.7 | HIGH |
By match phase
Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.
| middle | T20 | 17 | 131 | 185 | 18.7 | 70.8 | 5.4 | 49.7 | MEDIUM |
| death | T20 | 27 | 167 | 174 | 13.9 | 96.0 | 8.6 | 36.2 | MEDIUM |
Bowling
| middle | T20 | 736 | 746 | 36 | 6.1 | 20.7 | HIGH |
| powerplay | T20 | 414 | 416 | 27 | 6.0 | 15.4 | HIGH |
| death | T20 | 199 | 219 | 15 | 6.6 | 14.6 | MEDIUM |
Against pace and spin
Record against each bowling type faced, rolled up when a finer category has too few balls.
| SPIN | T20 | 30 | 144 | 205 | 12.0 | 70.2 | 4.9 | 48.3 | MEDIUM |
| PACE | T20 | 27 | 146 | 132 | 36.5 | 110.6 | 12.1 | 32.6 | MEDIUM |
| UNKNOWN | T20 | 8 | 29 | 37 | 7.3 | 78.4 | 8.1 | 51.4 | LOW |
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.