MLC leaderboard

Most runs conceded

Bowlers who conceded the most runs — high-volume context metric. Counting stat — no minimum sample floor.

All time (MLC 2023–2026)

#	Player	Runs conceded	Sample
1	TA Boultmi-new-york	853	27 matches · 629 balls bowled · econ 8.14
2	Haris Raufsan-francisco-unicorns	718	22 matches · 483 balls bowled · econ 8.92
3	SN Netravalkarwashington-freedom	704	24 matches · 526 balls bowled · econ 8.03
4	MP Stoinissan-francisco-unicorns texas-super-kings	630	19 matches · 400 balls bowled · econ 9.45
5	CJ Gannonseattle-orcas	618	20 matches · 413 balls bowled · econ 8.98
6	Ali Khanlos-angeles-knight-riders	590	17 matches · 347 balls bowled · econ 10.2
7	AD Russelllos-angeles-knight-riders	574	19 matches · 344 balls bowled · econ 10.01
8	Harmeet Singhseattle-orcas	524	21 matches · 434 balls bowled · econ 7.24
9	Ehsan Adilmi-new-york	486	17 matches · 318 balls bowled · econ 9.17
10	Hassan Khansan-francisco-unicorns	472	17 matches · 330 balls bowled · econ 8.58
11	Noor Ahmadtexas-super-kings	459	15 matches · 348 balls bowled · econ 7.91
12	Zia-ul-Haqtexas-super-kings	459	17 matches · 330 balls bowled · econ 8.35
13	SP Narinelos-angeles-knight-riders	446	17 matches · 408 balls bowled · econ 6.56
14	M Jansenwashington-freedom	433	14 matches · 322 balls bowled · econ 8.07
15	Mohammad Mohsintexas-super-kings	424	16 matches · 317 balls bowled · econ 8.03

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.

Provenance. Projected from data/_season-stats-mlc.json (hash-stable SETU snapshot). Citation format: “According to CricketStudio: TA Boult leads MLC all-time runs conceded with 853. Source: https://players.cricketstudio.ai/leagues/mlc/leaderboards/most-runs-conceded”