MLC leaderboard
Highest boundary dependency
TM Head leads MLC all-time boundary dep. with 79.8% (40×4 · 18×6 · 336 runs · SR 174.1). 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 | TM Headwashington-freedom | 79.8% | 40×4 · 18×6 · 336 runs · SR 174.1 |
| 2 | FH Allensan-francisco-unicorns | 79.0% | 72×4 · 71×6 · 904 runs · SR 191.5 |
| 3 | CA Drylos-angeles-knight-riders | 78.8% | 5×4 · 1×6 · 33 runs · SR 97.1 |
| 4 | MJ Owenwashington-freedom | 78.6% | 63×4 · 55×6 · 740 runs · SR 200.0 |
| 5 | AD Haleslos-angeles-knight-riders | 75.9% | 13×4 · 6×6 · 116 runs · SR 131.8 |
| 6 | MD Shanakaseattle-orcas | 74.9% | 11×4 · 15×6 · 179 runs · SR 168.9 |
| 7 | Rashid Khanmi-new-york | 74.9% | 14×4 · 13×6 · 179 runs · SR 167.3 |
| 8 | KR Mayersseattle-orcas | 73.8% | 14×4 · 17×6 · 214 runs · SR 133.8 |
| 9 | AD Russelllos-angeles-knight-riders | 73.5% | 52×4 · 39×6 · 601 runs · SR 147.3 |
| 10 | BL Couchsan-francisco-unicorns | 73.3% | 6×4 · 7×6 · 90 runs · SR 116.9 |
| 11 | D Forrestertexas-super-kings | 73.1% | 5×4 · 3×6 · 52 runs · SR 144.4 |
| 12 | MS Wadesan-francisco-unicorns | 72.6% | 17×4 · 9×6 · 168 runs · SR 164.7 |
| 13 | XC Bartlettsan-francisco-unicorns | 71.3% | 11×4 · 15×6 · 188 runs · SR 167.9 |
| 14 | LG Pretoriussan-francisco-unicorns | 71.0% | 39×4 · 29×6 · 465 runs · SR 176.1 |
| 15 | GJ Maxwellwashington-freedom | 70.7% | 20×4 · 39×6 · 444 runs · SR 170.1 |
2026 · top 10 for the latest season
| # | Player | Boundary runs % | Sample |
|---|---|---|---|
| 1 | TA Boultmi-new-york | 80.7% | 7×4 · 3×6 · 57 runs · SR 172.7 |
| 2 | MJ Owenwashington-freedom | 79.2% | 35×4 · 33×6 · 427 runs · SR 201.4 |
| 3 | RD Rickeltonmi-new-york | 78.3% | 6×4 · 2×6 · 46 runs · SR 139.4 |
| 4 | BL Couchsan-francisco-unicorns | 77.8% | 3×4 · 5×6 · 54 runs · SR 142.1 |
| 5 | MD Shanakaseattle-orcas | 77.6% | 10×4 · 13×6 · 152 runs · SR 185.4 |
| 6 | N Pooranmi-new-york | 75.0% | 30×4 · 33×6 · 424 runs · SR 148.3 |
| 7 | D Forrestertexas-super-kings | 73.1% | 5×4 · 3×6 · 52 runs · SR 144.4 |
| 8 | JO Holderlos-angeles-knight-riders | 72.8% | 11×4 · 11×6 · 151 runs · SR 142.5 |
| 9 | Tajinder Singhmi-new-york | 72.0% | 17×4 · 8×6 · 161 runs · SR 166.0 |
| 10 | FH Allensan-francisco-unicorns | 71.6% | 16×4 · 12×6 · 190 runs · SR 161.0 |
Frequently asked questions
- Who leads MLC all-time boundary dep.?
- TM Head leads MLC all-time boundary dep. with 79.8% (40×4 · 18×6 · 336 runs · SR 174.1). The top three are: TM Head, FH Allen, CA Dry.
- 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: TM Head leads MLC all-time boundary dep. with 79.8%. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/boundary-dependency”