MLC leaderboard
Most death-overs balls bowled
TA Boult leads MLC all-time death workload with 229 (38.2 overs · 25 wkts · econ 9.20). Total legal deliveries bowled in death overs — identifies the most-used death bowlers. Counting stat — all appearances included.
All time (MLC 2023–2026)
| # | Player | Death balls bowled | Sample |
|---|---|---|---|
| 1 | TA Boultmi-new-york | 229 | 38.2 overs · 25 wkts · econ 9.20 |
| 2 | Haris Raufsan-francisco-unicorns | 146 | 24.3 overs · 9 wkts · econ 10.48 |
| 3 | MP Stoinissan-francisco-unicornsseattle-orcastexas-super-kings | 142 | 23.7 overs · 11 wkts · econ 10.52 |
| 4 | SN Netravalkarwashington-freedom | 136 | 22.7 overs · 13 wkts · econ 9.62 |
| 5 | Ali Khanlos-angeles-knight-riders | 105 | 17.5 overs · 5 wkts · econ 11.66 |
| 6 | AD Russelllos-angeles-knight-riders | 104 | 17.3 overs · 6 wkts · econ 10.67 |
| 7 | CJ Gannonseattle-orcas | 91 | 15.2 overs · 11 wkts · econ 7.38 |
| 8 | LH Fergusonlos-angeles-knight-riderswashington-freedom | 80 | 13.3 overs · 6 wkts · econ 8.32 |
| 9 | XC Bartlettsan-francisco-unicorns | 79 | 13.2 overs · 8 wkts · econ 8.51 |
| 10 | Jasdeep Singhmi-new-yorkseattle-orcaswashington-freedom | 74 | 12.3 overs · 7 wkts · econ 9.49 |
| 11 | M Jansenwashington-freedom | 70 | 11.7 overs · 9 wkts · econ 13.20 |
| 12 | R Ugarkarmi-new-york | 64 | 10.7 overs · 7 wkts · econ 10.13 |
| 13 | SC van Schalkwyklos-angeles-knight-riders | 64 | 10.7 overs · 4 wkts · econ 11.63 |
| 14 | Naveen-ul-Haqmi-new-yorktexas-super-kings | 62 | 10.3 overs · 3 wkts · econ 10.35 |
| 15 | AJ Tyeseattle-orcaswashington-freedom | 60 | 10.0 overs · 3 wkts · econ 10.30 |
2026 · top 10 for the latest season
| # | Player | Death balls bowled | Sample |
|---|---|---|---|
| 1 | AF Milnetexas-super-kings | 28 | 4.7 overs · 4 wkts · econ 9.86 |
| 2 | PWA Muldertexas-super-kings | 27 | 4.5 overs · 1 wkts · econ 11.56 |
| 3 | MD Shanakaseattle-orcas | 25 | 4.2 overs · 2 wkts · econ 17.04 |
| 4 | Amshi de Silvatexas-super-kings | 24 | 4.0 overs · 2 wkts · econ 9.50 |
| 5 | BL Couchsan-francisco-unicorns | 24 | 4.0 overs · 3 wkts · econ 11.25 |
| 6 | C Boschmi-new-york | 24 | 4.0 overs · 4 wkts · econ 5.75 |
| 7 | Jasdeep Singhseattle-orcas | 24 | 4.0 overs · 5 wkts · econ 5.75 |
| 8 | M Jansenwashington-freedom | 24 | 4.0 overs · 2 wkts · econ 16.00 |
| 9 | OEG Baartmanseattle-orcas | 24 | 4.0 overs · 3 wkts · econ 11.00 |
| 10 | CJ Gannonseattle-orcas | 20 | 3.3 overs · 2 wkts · econ 8.10 |
Frequently asked questions
- Who leads MLC all-time death workload?
- TA Boult leads MLC all-time death workload with 229 (38.2 overs · 25 wkts · econ 9.20). The top three are: TA Boult, Haris Rauf, MP Stoinis.
- How is MLC death workload calculated?
- Total legal deliveries bowled in death overs — identifies the most-used death bowlers. Counting stat — all appearances included.. 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 workload 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: Counting stat — all appearances included. 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: TA Boult leads MLC all-time death workload with 229. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-death-overs-bowled”