Who leads MLC all-time death workload?

TA Boult leads MLC all-time death workload with 210 (35.0 overs · 22 wkts · econ 9.43). The top three are: TA Boult, MP Stoinis, 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.

MLC leaderboard

Most death-overs balls bowled

TA Boult leads MLC all-time death workload with 210 (35.0 overs · 22 wkts · econ 9.43). 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	210	35.0 overs · 22 wkts · econ 9.43
2	MP Stoinissan-francisco-unicorns texas-super-kings	136	22.7 overs · 9 wkts · econ 10.63
3	Haris Raufsan-francisco-unicorns	132	22.0 overs · 8 wkts · econ 10.82
4	SN Netravalkarwashington-freedom	124	20.7 overs · 13 wkts · econ 8.90
5	AD Russelllos-angeles-knight-riders	98	16.3 overs · 6 wkts · econ 10.47
6	Ali Khanlos-angeles-knight-riders	93	15.5 overs · 5 wkts · econ 11.48
7	LH Fergusonlos-angeles-knight-riders washington-freedom	74	12.3 overs · 6 wkts · econ 7.54
8	CJ Gannonseattle-orcas	71	11.8 overs · 9 wkts · econ 7.18
9	XC Bartlettsan-francisco-unicorns	67	11.2 overs · 7 wkts · econ 8.24
10	Naveen-ul-Haqmi-new-york texas-super-kings	62	10.3 overs · 3 wkts · econ 10.35
11	AJ Tyeseattle-orcas washington-freedom	60	10.0 overs · 3 wkts · econ 10.30
12	KA Pollardmi-new-york	59	9.8 overs · 8 wkts · econ 9.66
13	Ehsan Adilmi-new-york	54	9.0 overs · 1 wkts · econ 14.89
14	N Burgerseattle-orcas texas-super-kings	54	9.0 overs · 2 wkts · econ 12.33
15	DJ Bravotexas-super-kings	51	8.5 overs · 2 wkts · econ 8.94

Frequently asked questions

Who leads MLC all-time death workload?: TA Boult leads MLC all-time death workload with 210 (35.0 overs · 22 wkts · econ 9.43). The top three are: TA Boult, MP Stoinis, 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.

Provenance. Projected from data/_season-stats-mlc.json (hash-stable SETU snapshot). Citation format: “According to CricketStudio: TA Boult leads MLC all-time death workload with 210. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-death-overs-bowled”