MLC leaderboard
Best death-overs bowling strike rate
A Zampa leads MLC all-time death bowl sr with 4.0 (3 wkts · 12 death balls · econ 2.50). Fewest balls per wicket in death overs (overs 17–20). Lower values are better. Minimum 12 legal deliveries in death overs with at least 1 wicket.
All time (MLC 2023–2026)
| # | Player | Balls/wkt (death) | Sample |
|---|---|---|---|
| 1 | A Zampalos-angeles-knight-riders | 4.0 | 3 wkts · 12 death balls · econ 2.50 |
| 2 | AJ Hoseintexas-super-kingswashington-freedom | 4.0 | 3 wkts · 12 death balls · econ 10.50 |
| 3 | C Boschmi-new-york | 6.0 | 4 wkts · 24 death balls · econ 5.75 |
| 4 | GJ Maxwellwashington-freedom | 6.0 | 3 wkts · 18 death balls · econ 13.00 |
| 5 | Hassan Khansan-francisco-unicorns | 6.0 | 4 wkts · 24 death balls · econ 10.00 |
| 6 | MW Shortsan-francisco-unicornswashington-freedom | 6.0 | 2 wkts · 12 death balls · econ 9.50 |
| 7 | AF Milnetexas-super-kings | 6.3 | 9 wkts · 57 death balls · econ 10.21 |
| 8 | KA Pollardmi-new-york | 7.4 | 8 wkts · 59 death balls · econ 9.66 |
| 9 | M Jansenwashington-freedom | 7.8 | 9 wkts · 70 death balls · econ 13.20 |
| 10 | OEG Baartmanseattle-orcastexas-super-kings | 8.0 | 6 wkts · 48 death balls · econ 9.63 |
| 11 | WD Parnellseattle-orcas | 8.0 | 3 wkts · 24 death balls · econ 10.75 |
| 12 | CJ Gannonseattle-orcas | 8.3 | 11 wkts · 91 death balls · econ 7.38 |
| 13 | Mohammad Mohsintexas-super-kings | 8.5 | 2 wkts · 17 death balls · econ 8.12 |
| 14 | JG Dillwashington-freedom | 9.0 | 2 wkts · 18 death balls · econ 9.33 |
| 15 | MJ Owenwashington-freedom | 9.0 | 4 wkts · 36 death balls · econ 8.17 |
2026 · top 10 for the latest season
| # | Player | Balls/wkt (death) | Sample |
|---|---|---|---|
| 1 | Jasdeep Singhseattle-orcas | 4.8 | 5 wkts · 24 death balls · econ 5.75 |
| 2 | C Boschmi-new-york | 6.0 | 4 wkts · 24 death balls · econ 5.75 |
| 3 | MW Shortsan-francisco-unicorns | 6.0 | 2 wkts · 12 death balls · econ 9.50 |
| 4 | TA Boultmi-new-york | 6.3 | 3 wkts · 19 death balls · econ 6.63 |
| 5 | AF Milnetexas-super-kings | 7.0 | 4 wkts · 28 death balls · econ 9.86 |
| 6 | BL Couchsan-francisco-unicorns | 8.0 | 3 wkts · 24 death balls · econ 11.25 |
| 7 | OEG Baartmanseattle-orcas | 8.0 | 3 wkts · 24 death balls · econ 11.00 |
| 8 | PM Siddlesan-francisco-unicorns | 9.0 | 2 wkts · 18 death balls · econ 12.00 |
| 9 | R Ugarkarmi-new-york | 9.0 | 2 wkts · 18 death balls · econ 8.33 |
| 10 | CJ Gannonseattle-orcas | 10.0 | 2 wkts · 20 death balls · econ 8.10 |
Frequently asked questions
- Who leads MLC all-time death bowl sr?
- A Zampa leads MLC all-time death bowl sr with 4.0 (3 wkts · 12 death balls · econ 2.50). The top three are: A Zampa, AJ Hosein, C Bosch.
- How is MLC death bowl sr calculated?
- Fewest balls per wicket in death overs (overs 17–20). Lower values are better. Minimum 12 legal deliveries in death overs with at least 1 wicket.. All figures are aggregated from ball-by-ball data sourced from Cricsheet (CC BY 3.0) via the CricketStudio SETU pipeline.
- Does this MLC death bowl sr leaderboard include 2026?
- Yes. The all-time table covers MLC 2023–2026. A separate 2026-only view is shown below the all-time table.
- What data source powers this leaderboard?
- Ball-by-ball records from Cricsheet (CC BY 3.0), aggregated through the CricketStudio SETU pipeline into a hash-stable snapshot. Parity contracts P1–P6 ensure every leaderboard surface projects from the same canonical file.
Sources & methodology
Derived from the canonical MLC SETU snapshot, walked from ball-by-ball records sourced from Cricsheet under CC BY 3.0.
Sample-size floor: Minimum 12 legal deliveries in death overs with at least 1 wicket. Per doctrine §3.1 — claims below the floor are excluded from this surface.
data/_season-stats-mlc.json (hash-stable SETU snapshot). Citation format: “According to CricketStudio: A Zampa leads MLC all-time death bowl sr with 4.0. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/death-bowling-strike-rate”