MLC leaderboard
Most powerplay balls bowled
TA Boult leads MLC all-time pp workload with 480 (80.0 overs · 22 wkts · econ 7.10). 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 | 480 | 80.0 overs · 22 wkts · econ 7.10 |
| 2 | SN Netravalkarwashington-freedom | 426 | 71.0 overs · 19 wkts · econ 7.89 |
| 3 | CJ Gannonseattle-orcas | 276 | 46.0 overs · 10 wkts · econ 9.83 |
| 4 | M Jansenwashington-freedom | 258 | 43.0 overs · 9 wkts · econ 7.42 |
| 5 | Haris Raufsan-francisco-unicorns | 240 | 40.0 overs · 11 wkts · econ 9.13 |
| 6 | XC Bartlettsan-francisco-unicorns | 240 | 40.0 overs · 10 wkts · econ 8.05 |
| 7 | C le Rouxlos-angeles-knight-riderssan-francisco-unicorns | 232 | 38.7 overs · 9 wkts · econ 8.95 |
| 8 | Zia-ul-Haqtexas-super-kings | 228 | 38.0 overs · 10 wkts · econ 8.13 |
| 9 | JO Holderlos-angeles-knight-riders | 222 | 37.0 overs · 11 wkts · econ 8.22 |
| 10 | BL Couchsan-francisco-unicorns | 216 | 36.0 overs · 8 wkts · econ 8.58 |
| 11 | SP Narinelos-angeles-knight-riders | 204 | 34.0 overs · 16 wkts · econ 5.38 |
| 12 | Jasdeep Singhmi-new-yorkseattle-orcaswashington-freedom | 168 | 28.0 overs · 11 wkts · econ 9.25 |
| 13 | AF Milnetexas-super-kings | 162 | 27.0 overs · 11 wkts · econ 6.15 |
| 14 | MP Stoinissan-francisco-unicornsseattle-orcastexas-super-kings | 156 | 26.0 overs · 7 wkts · econ 7.58 |
| 15 | N Burgerseattle-orcastexas-super-kings | 150 | 25.0 overs · 8 wkts · econ 7.72 |
2026 · top 10 for the latest season
| # | Player | PP balls bowled | Sample |
|---|---|---|---|
| 1 | SP Narinelos-angeles-knight-riders | 156 | 26.0 overs · 15 wkts · econ 4.96 |
| 2 | JO Holderlos-angeles-knight-riders | 150 | 25.0 overs · 8 wkts · econ 8.16 |
| 3 | TA Boultmi-new-york | 144 | 24.0 overs · 4 wkts · econ 7.13 |
| 4 | SN Netravalkarwashington-freedom | 126 | 21.0 overs · 4 wkts · econ 9.33 |
| 5 | Jasdeep Singhseattle-orcas | 114 | 19.0 overs · 7 wkts · econ 9.84 |
| 6 | XC Bartlettsan-francisco-unicorns | 108 | 18.0 overs · 4 wkts · econ 7.06 |
| 7 | AF Milnetexas-super-kings | 96 | 16.0 overs · 5 wkts · econ 6.13 |
| 8 | OEG Baartmanseattle-orcas | 96 | 16.0 overs · 7 wkts · econ 7.06 |
| 9 | BJ Dwarshuiswashington-freedom | 90 | 15.0 overs · 3 wkts · econ 8.80 |
| 10 | BL Couchsan-francisco-unicorns | 84 | 14.0 overs · 4 wkts · econ 9.14 |
Frequently asked questions
- Who leads MLC all-time pp workload?
- TA Boult leads MLC all-time pp workload with 480 (80.0 overs · 22 wkts · econ 7.10). 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 480. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-pp-overs-bowled”