MLC leaderboard
Most powerplay balls bowled
TA Boult leads MLC all-time pp workload with 396 (66.0 overs · 20 wkts · econ 7.17). Total legal deliveries bowled in the powerplay — identifies the highest-usage PP attack bowlers. Counting stat — all appearances included.
All time (MLC 2023–2026)
| # | Player | PP balls bowled | Sample |
|---|---|---|---|
| 1 | TA Boultmi-new-york | 396 | 66.0 overs · 20 wkts · econ 7.17 |
| 2 | SN Netravalkarwashington-freedom | 330 | 55.0 overs · 16 wkts · econ 7.55 |
| 3 | CJ Gannonseattle-orcas | 258 | 43.0 overs · 10 wkts · econ 10.07 |
| 4 | M Jansenwashington-freedom | 246 | 41.0 overs · 9 wkts · econ 7.27 |
| 5 | Zia-ul-Haqtexas-super-kings | 228 | 38.0 overs · 10 wkts · econ 8.13 |
| 6 | C le Rouxlos-angeles-knight-riderssan-francisco-unicorns | 214 | 35.7 overs · 9 wkts · econ 8.64 |
| 7 | Haris Raufsan-francisco-unicorns | 204 | 34.0 overs · 9 wkts · econ 9.00 |
| 8 | BL Couchsan-francisco-unicorns | 168 | 28.0 overs · 5 wkts · econ 8.64 |
| 9 | XC Bartlettsan-francisco-unicorns | 156 | 26.0 overs · 7 wkts · econ 9.46 |
| 10 | N Burgerseattle-orcastexas-super-kings | 150 | 25.0 overs · 8 wkts · econ 7.72 |
| 11 | SC van Schalkwyklos-angeles-knight-riders | 132 | 22.0 overs · 7 wkts · econ 9.77 |
| 12 | Ehsan Adilmi-new-york | 126 | 21.0 overs · 4 wkts · econ 8.95 |
| 13 | Imad Wasimseattle-orcas | 126 | 21.0 overs · 9 wkts · econ 7.14 |
| 14 | MP Stoinissan-francisco-unicornsseattle-orcastexas-super-kings | 126 | 21.0 overs · 6 wkts · econ 7.67 |
| 15 | AF Milnetexas-super-kings | 120 | 20.0 overs · 8 wkts · econ 7.05 |
2026 · top 10 for the latest season
| # | Player | PP balls bowled | Sample |
|---|---|---|---|
| 1 | Jasdeep Singhseattle-orcas | 66 | 11.0 overs · 6 wkts · econ 9.64 |
| 2 | OEG Baartmanseattle-orcas | 60 | 10.0 overs · 3 wkts · econ 9.20 |
| 3 | TA Boultmi-new-york | 60 | 10.0 overs · 2 wkts · econ 7.60 |
| 4 | AF Milnetexas-super-kings | 54 | 9.0 overs · 2 wkts · econ 8.11 |
| 5 | M Jansenwashington-freedom | 54 | 9.0 overs · 1 wkts · econ 10.22 |
| 6 | Amshi de Silvatexas-super-kings | 48 | 8.0 overs · 4 wkts · econ 9.13 |
| 7 | SP Narinelos-angeles-knight-riders | 48 | 8.0 overs · 5 wkts · econ 6.63 |
| 8 | C Boschmi-new-york | 42 | 7.0 overs · 1 wkts · econ 8.71 |
| 9 | Ghulam Mudassarsan-francisco-unicorns | 42 | 7.0 overs · 1 wkts · econ 8.43 |
| 10 | JO Holderlos-angeles-knight-riders | 42 | 7.0 overs · 2 wkts · econ 7.14 |
Frequently asked questions
- Who leads MLC all-time pp workload?
- TA Boult leads MLC all-time pp workload with 396 (66.0 overs · 20 wkts · econ 7.17). The top three are: TA Boult, SN Netravalkar, CJ Gannon.
- How is MLC pp workload calculated?
- Total legal deliveries bowled in the powerplay — identifies the highest-usage PP attack 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 pp 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 pp workload with 396. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-pp-overs-bowled”