MLC leaderboard
Most death-overs balls bowled
TA Boult leads MLC all-time death workload with 247 (41.2 overs · 26 wkts · econ 9.30). 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 | 247 | 41.2 overs · 26 wkts · econ 9.30 |
| 2 | SN Netravalkarwashington-freedom | 184 | 30.7 overs · 17 wkts · econ 9.23 |
| 3 | Haris Raufsan-francisco-unicorns | 170 | 28.3 overs · 13 wkts · econ 10.98 |
| 4 | MP Stoinissan-francisco-unicornsseattle-orcastexas-super-kings | 160 | 26.7 overs · 15 wkts · econ 10.80 |
| 5 | AD Russelllos-angeles-knight-riders | 153 | 25.5 overs · 11 wkts · econ 10.35 |
| 6 | XC Bartlettsan-francisco-unicorns | 139 | 23.2 overs · 13 wkts · econ 8.89 |
| 7 | SC van Schalkwyklos-angeles-knight-riders | 119 | 19.8 overs · 10 wkts · econ 11.75 |
| 8 | Ali Khanlos-angeles-knight-riders | 117 | 19.5 overs · 5 wkts · econ 11.44 |
| 9 | CJ Gannonseattle-orcas | 109 | 18.2 overs · 12 wkts · econ 7.93 |
| 10 | R Ugarkarmi-new-york | 95 | 15.8 overs · 11 wkts · econ 10.93 |
| 11 | Jasdeep Singhmi-new-yorkseattle-orcaswashington-freedom | 92 | 15.3 overs · 9 wkts · econ 9.46 |
| 12 | JO Holderlos-angeles-knight-riders | 90 | 15.0 overs · 5 wkts · econ 12.13 |
| 13 | AF Milnetexas-super-kings | 83 | 13.8 overs · 9 wkts · econ 11.06 |
| 14 | LH Fergusonlos-angeles-knight-riderswashington-freedom | 80 | 13.3 overs · 6 wkts · econ 8.32 |
| 15 | R Shepherdmi-new-yorksan-francisco-unicorns | 75 | 12.5 overs · 8 wkts · econ 7.52 |
2026 · top 10 for the latest season
| # | Player | Death balls bowled | Sample |
|---|---|---|---|
| 1 | SC van Schalkwyklos-angeles-knight-riders | 73 | 12.2 overs · 7 wkts · econ 11.10 |
| 2 | XC Bartlettsan-francisco-unicorns | 72 | 12.0 overs · 6 wkts · econ 9.50 |
| 3 | SN Netravalkarwashington-freedom | 60 | 10.0 overs · 4 wkts · econ 9.90 |
| 4 | AD Russelllos-angeles-knight-riders | 55 | 9.2 overs · 5 wkts · econ 10.15 |
| 5 | AF Milnetexas-super-kings | 54 | 9.0 overs · 4 wkts · econ 11.33 |
| 6 | BJ Dwarshuiswashington-freedom | 54 | 9.0 overs · 7 wkts · econ 8.00 |
| 7 | Amshi de Silvatexas-super-kings | 49 | 8.2 overs · 5 wkts · econ 9.43 |
| 8 | R Ugarkarmi-new-york | 49 | 8.2 overs · 6 wkts · econ 11.02 |
| 9 | Jasdeep Singhseattle-orcas | 42 | 7.0 overs · 7 wkts · econ 7.29 |
| 10 | JO Holderlos-angeles-knight-riders | 42 | 7.0 overs · 2 wkts · econ 11.86 |
Frequently asked questions
- Who leads MLC all-time death workload?
- TA Boult leads MLC all-time death workload with 247 (41.2 overs · 26 wkts · econ 9.30). The top three are: TA Boult, SN Netravalkar, Haris Rauf.
- 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 247. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-death-overs-bowled”