MLC leaderboard
Most boundaries (4s + 6s)
F du Plessis leads MLC all-time boundaries with 136 (86×4 · 50×6 · 571 balls). Total boundaries (fours plus sixes combined) across all captured MLC matches. Counting stat — no minimum sample floor.
All time (MLC 2023–2026)
| # | Player | Boundaries | Sample |
|---|---|---|---|
| 1 | F du Plessistexas-super-kings | 136 | 86×4 · 50×6 · 571 balls |
| 2 | N Pooranmi-new-york | 120 | 64×4 · 56×6 · 640 balls |
| 3 | FH Allensan-francisco-unicorns | 115 | 56×4 · 59×6 · 354 balls |
| 4 | Q de Kockmi-new-yorkseattle-orcas | 114 | 75×4 · 39×6 · 569 balls |
| 5 | MW Shortsan-francisco-unicornswashington-freedom | 96 | 56×4 · 40×6 · 431 balls |
| 6 | MD Patelmi-new-york | 90 | 66×4 · 24×6 · 523 balls |
| 7 | AGS Gouswashington-freedom | 76 | 60×4 · 16×6 · 389 balls |
| 8 | DP Conwaytexas-super-kings | 75 | 56×4 · 19×6 · 485 balls |
| 9 | AD Russelllos-angeles-knight-riders | 72 | 41×4 · 31×6 · 297 balls |
| 10 | UBT Chandlos-angeles-knight-riders | 66 | 48×4 · 18×6 · 444 balls |
| 11 | KA Pollardmi-new-york | 65 | 29×4 · 36×6 · 309 balls |
| 12 | Hassan Khansan-francisco-unicorns | 61 | 31×4 · 30×6 · 262 balls |
| 13 | H Klaasenseattle-orcas | 60 | 32×4 · 28×6 · 305 balls |
| 14 | TM Headwashington-freedom | 58 | 40×4 · 18×6 · 193 balls |
| 15 | Shayan Jahangirmi-new-yorkseattle-orcas | 55 | 37×4 · 18×6 · 326 balls |
Frequently asked questions
- Who leads MLC all-time boundaries?
- F du Plessis leads MLC all-time boundaries with 136 (86×4 · 50×6 · 571 balls). The top three are: F du Plessis, N Pooran, FH Allen.
- How is MLC boundaries calculated?
- Total boundaries (fours plus sixes combined) across all captured MLC matches. Counting stat — no minimum sample floor.. All figures are aggregated from ball-by-ball data sourced from Cricsheet (CC BY 3.0) via the CricketStudio SETU pipeline.
- Does this MLC boundaries 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 — no minimum sample floor. 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: F du Plessis leads MLC all-time boundaries with 136. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-boundaries”