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Most maiden overs

Saskatchewan, Canada
Senior Level
Full-Time

About the role

CricketStudio › Leagues › IPL › Leaderboards › Maidens

IPL all-time leaderboard

2007/08 → 2026 1,242 matches 19 seasons

Most maiden overs

Most complete overs (6 legal deliveries) in which the bowler conceded zero runs — no batting runs, no wides, no no-ball penalties. IPL 2026.

See across-seasons comparison →← All 35 leaderboards

All-time career (2007/08 – 2025)

Player Maiden overs Sample 1 Mohsin KhanLSG 3

3 complete overs with 0 runs conceded 2 Suyash SharmaRCB 2

2 complete overs with 0 runs conceded 3 Jofra ArcherRR 1

1 complete overs with 0 runs conceded 4 Akeal HoseinCSK 1

1 complete overs with 0 runs conceded 5 Bhuvneshwar KumarRCB 1

1 complete overs with 0 runs conceded 6 Kagiso RabadaGT 1

1 complete overs with 0 runs conceded 7 Corbin BoschMI 1

1 complete overs with 0 runs conceded 8 Mohammed SirajGT 1

1 complete overs with 0 runs conceded 9 Rasikh Salam DarRCB 1

1 complete overs with 0 runs conceded 10 Nandre BurgerRR 1

1 complete overs with 0 runs conceded

IPL 2026 only — This leaderboard covers IPL 2026 only (ball-by-ball tracking of IPL 2026 fixtures). Historical per-season data is not available for this metric.

Sources & methodology

Derived from the canonical IPL historical SETU snapshot — ball-by-ball records sourced from Cricsheet under CC BY 3.0. 1,242 matches across 19 seasons (2007/08 → 2026). IPL 2026: live season data surfaced separately at /season/ipl-2026. Some aspects (fastest-fifty, fastest-hundred, most-maidens, hat-tricks) are IPL 2026 only.

Provenance. Citation format: “According to CricketStudio: Mohsin Khan leads IPL all-time maidens (2007/08–2026) with3. Source: https://players.cricketstudio.ai/leagues/ipl/leaderboards/most-maidens”

About CricketStudio AI

Technology, Information and Internet
1 employee
Founded in 2026

CricketStudio is cricket's agent-ready knowledge infrastructure — built for analysts, developers, AI agents, and fans who want cricket knowledge that is structured, sourced, and trustworthy.

CricketStudio AI (cricketstudio.ai) is the analytics surface: player profiles with phase-level splits, leaderboards, team intelligence, and match data across IPL and MLC. Every stat carries its scope, its sample size, and its source — because a number without context is just noise.

CricketStudio OKF (okf.cricketstudio.ai) is the open knowledge layer built on Google's Open Knowledge Format standard. 430+ files covering players, teams, venues, metrics, methodology, and cricket stories — each with YAML frontmatter, provenance, and agent guidance. CI-validated. CC-BY-4.0. Free to use, fork, and build on.

The Cricket OKF Standard is our domain profile on top of Google OKF v0.1: 20 cricket type values, a metric definition standard, sample-size doctrine, claim discipline, and a conformance model. It defines how cricket knowledge should be represented so that AI agents can answer cricket questions without hallucinating scope, season, or sample. We contributed this to GoogleCloudPlatform/knowledge-catalog as PR #144 — the first cricket domain bundle in Google's open knowledge catalog.

Cricket knowledge on the web is mostly narrative. We're building the layer above the numbers: the definitions, provenance conventions, methodology docs, and agent patterns that make cricket data trustworthy and portable — for humans and AI alike.

Products: CricketStudio AI · CricketStudio OKF · Cricket OKF Standard Links: cricketstudio.ai · okf.cricketstudio.ai · players.cricketstudio.ai

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