MLC leaderboard
Highest boundary dependency
FH Allen leads MLC all-time boundary dep. with 81.1% (62×4 · 65×6 · 787 runs · SR 199.7). Batters who scored the highest proportion of their runs through boundaries (fours and sixes). Indicates reliance on hitting over running between wickets. Minimum 30 balls faced.
All time (MLC 2023–2026)
| # | Player | Boundary runs % | Sample |
|---|---|---|---|
| 1 | FH Allensan-francisco-unicorns | 81.1% | 62×4 · 65×6 · 787 runs · SR 199.7 |
| 2 | TM Headwashington-freedom | 79.8% | 40×4 · 18×6 · 336 runs · SR 174.1 |
| 3 | MD Shanakaseattle-orcas | 79.2% | 10×4 · 13×6 · 149 runs · SR 191.0 |
| 4 | CA Drylos-angeles-knight-riders | 78.8% | 5×4 · 1×6 · 33 runs · SR 97.1 |
| 5 | MJ Owenwashington-freedom | 78.8% | 59×4 · 46×6 · 650 runs · SR 210.4 |
| 6 | AD Haleslos-angeles-knight-riders | 75.9% | 13×4 · 6×6 · 116 runs · SR 131.8 |
| 7 | Rashid Khanmi-new-york | 74.9% | 14×4 · 13×6 · 179 runs · SR 167.3 |
| 8 | AD Russelllos-angeles-knight-riders | 74.6% | 41×4 · 32×6 · 477 runs · SR 151.9 |
| 9 | KR Mayersseattle-orcas | 73.8% | 14×4 · 17×6 · 214 runs · SR 133.8 |
| 10 | XC Bartlettsan-francisco-unicorns | 73.5% | 9×4 · 12×6 · 147 runs · SR 172.9 |
| 11 | BL Couchsan-francisco-unicorns | 73.3% | 6×4 · 7×6 · 90 runs · SR 126.8 |
| 12 | LG Pretoriussan-francisco-unicorns | 72.7% | 24×4 · 20×6 · 297 runs · SR 182.2 |
| 13 | MS Wadesan-francisco-unicorns | 72.6% | 17×4 · 9×6 · 168 runs · SR 164.7 |
| 14 | MW Tromplos-angeles-knight-riders | 72.4% | 7×4 · 8×6 · 105 runs · SR 143.8 |
| 15 | Hassan Khansan-francisco-unicorns | 71.0% | 31×4 · 34×6 · 462 runs · SR 162.7 |
2026 · top 10 for the latest season
| # | Player | Boundary runs % | Sample |
|---|---|---|---|
| 1 | MD Shanakaseattle-orcas | 83.6% | 9×4 · 11×6 · 122 runs · SR 225.9 |
| 2 | FH Allensan-francisco-unicorns | 82.2% | 6×4 · 6×6 · 73 runs · SR 182.5 |
| 3 | JO Holderlos-angeles-knight-riders | 80.6% | 4×4 · 7×6 · 72 runs · SR 144.0 |
| 4 | MJ Owenwashington-freedom | 79.5% | 31×4 · 24×6 · 337 runs · SR 223.2 |
| 5 | BL Couchsan-francisco-unicorns | 77.8% | 3×4 · 5×6 · 54 runs · SR 168.8 |
| 6 | TL Seifertseattle-orcas | 74.4% | 18×4 · 21×6 · 266 runs · SR 179.7 |
| 7 | LG Pretoriussan-francisco-unicorns | 72.7% | 24×4 · 20×6 · 297 runs · SR 182.2 |
| 8 | R Powelllos-angeles-knight-riders | 72.2% | 4×4 · 6×6 · 72 runs · SR 141.2 |
| 9 | AJ Pienaarwashington-freedom | 72.0% | 3×4 · 4×6 · 50 runs · SR 147.1 |
| 10 | MP Stoinisseattle-orcas | 71.6% | 0×4 · 8×6 · 67 runs · SR 155.8 |
Frequently asked questions
- Who leads MLC all-time boundary dep.?
- FH Allen leads MLC all-time boundary dep. with 81.1% (62×4 · 65×6 · 787 runs · SR 199.7). The top three are: FH Allen, TM Head, MD Shanaka.
- How is MLC boundary dep. calculated?
- Batters who scored the highest proportion of their runs through boundaries (fours and sixes). Indicates reliance on hitting over running between wickets. Minimum 30 balls faced.. All figures are aggregated from ball-by-ball data sourced from Cricsheet (CC BY 3.0) via the CricketStudio SETU pipeline.
- Does this MLC boundary dep. 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: Minimum 30 balls faced. 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: FH Allen leads MLC all-time boundary dep. with 81.1%. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/boundary-dependency”