Best batting average
About the role
CricketStudio › Leagues › IPL › Leaderboards › Batting avg
IPL all-time leaderboard
2007/08 → 2026 1,242 matches 19 seasons
Best batting average
Highest batting averages (runs per dismissal) across IPL career. Minimum sample floor applied. Minimum 30 balls faced.
See across-seasons comparison →← All 35 leaderboards
All-time career (2007/08 – 2025)
Player Average Sample 1 Vivrant SharmaSRH 69.00
↗
47 balls faced 2 Ravindra JadejaRR 66.50
↗
197 balls faced 3 Quinton de KockMI 66.00
↗
81 balls faced 4 Anshul KambojCSK 58.00
↗
38 balls faced 5 Virat KohliRCB 56.25
↗
407 balls faced 6 MN van WykKKR 55.67
↗
131 balls faced 7 Shreyas IyerPBKS 55.33
↗
295 balls faced 8 Josh InglisLSG 53.20
↗
143 balls faced 9 Venkatesh IyerRCB 52.25
↗
112 balls faced 10 Corbin BoschMI 50.00
↗
31 balls faced 11 B Sai SudharsanGT 49.81 1220 balls faced 12 Vaibhav SuryavanshiRR 48.50 327 balls faced 13 Heinrich KlaasenSRH 48.00 390 balls faced 14 Rovman PowellKKR 47.50 141 balls faced 15 Angkrish RaghuvanshiKKR 46.11 281 balls faced 16 Tristan StubbsDC 45.83 216 balls faced 17 KL RahulDCLSGPBKSRCBSRH 45.52 3836 balls faced 18 Prashant VeerCSK 45.50 67 balls faced 19 AC VogesRR 45.25 143 balls faced 20 Sai SudharsanGT 45.13 457 balls faced 21 Cooper ConnollyPBKS 44.64 301 balls faced 22 HM AmlaPBKS 44.38 406 balls faced 23 Iqbal AbdullaKKRRCBRR 44.00 82 balls faced 24 Sanju SamsonCSK 43.36 288 balls faced 25 DP ConwayCSK 43.20 770 balls faced
Per-season view
Player Average Sample 1 Ravindra JadejaRR 66.50 197 balls faced 2 Quinton de KockMI 66.00 81 balls faced 3 Anshul KambojCSK 58.00 38 balls faced 4 Virat KohliRCB 56.25 407 balls faced 5 Shreyas IyerPBKS 55.33 295 balls faced 6 Josh InglisLSG 53.20 143 balls faced 7 Venkatesh IyerRCB 52.25 112 balls faced 8 Corbin BoschMI 50.00 31 balls faced 9 Vaibhav SuryavanshiRR 48.50 327 balls faced 10 Heinrich KlaasenSRH 48.00 390 balls faced 11 Rovman PowellKKR 47.50 141 balls faced 12 Angkrish RaghuvanshiKKR 46.11 281 balls faced 13 Tristan StubbsDC 45.83 216 balls faced 14 Shubman GillGT 45.75 449 balls faced 15 Prashant VeerCSK 45.50 67 balls faced
Season 2026
15 qualifying players Source: Cricsheet (CC BY 3.0) CricketStudio SETU aggregation
Season leaders
Who topped this leaderboard in each IPL season. Full season breakdown at across-seasons →
Season Leader Average Season hub 2026 Ravindra Jadeja 66.50 Full 2026 → 2025 SA Yadav 65.18 Full 2025 → 2024 Arshad Khan 78.00 Full 2024 → 2023 Vivrant Sharma 69.00 Full 2023 → 2022 DA Miller 68.71 Full 2022 → 2021 RA Jadeja 75.67 Full 2021 → 2020/21 DJ Hooda 102.00 Full 2020/21 → 2019 MS Dhoni 83.20 Full 2019 → 2018 MS Dhoni 75.83 Full 2018 → 2017 HM Amla 60.00 Full 2017 → 2016 V Kohli 81.08 Full 2016 → 2015 JA Morkel 86.00 Full 2015 → 2014 MS Dhoni 74.20 Full 2014 → 2013 R Vinay Kumar 70.00 Full 2013 → 2012 JP Duminy 81.33 Full 2012 → 2011 WP Saha 68.00 Full 2011 → 2009/10 KP Pietersen 59.00 Full 2009/10 → 2009 MK Pandey 84.00 Full 2009 → 2007/08 LA Pomersbach 152.00 Full 2007/08 →
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).
Sample-size floor (doctrine
3.1): Minimum 30 balls faced. Claims below this floor are excluded. 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: Vivrant Sharma leads IPL all-time batting avg (2007/08–2026) with69.00. Source: https://players.cricketstudio.ai/leagues/ipl/leaderboards/batting-average”
About CricketStudio AI
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
Similar Jobs
Best batting average
About the role
CricketStudio › Leagues › IPL › Leaderboards › Batting avg
IPL all-time leaderboard
2007/08 → 2026 1,242 matches 19 seasons
Best batting average
Highest batting averages (runs per dismissal) across IPL career. Minimum sample floor applied. Minimum 30 balls faced.
See across-seasons comparison →← All 35 leaderboards
All-time career (2007/08 – 2025)
Player Average Sample 1 Vivrant SharmaSRH 69.00
↗
47 balls faced 2 Ravindra JadejaRR 66.50
↗
197 balls faced 3 Quinton de KockMI 66.00
↗
81 balls faced 4 Anshul KambojCSK 58.00
↗
38 balls faced 5 Virat KohliRCB 56.25
↗
407 balls faced 6 MN van WykKKR 55.67
↗
131 balls faced 7 Shreyas IyerPBKS 55.33
↗
295 balls faced 8 Josh InglisLSG 53.20
↗
143 balls faced 9 Venkatesh IyerRCB 52.25
↗
112 balls faced 10 Corbin BoschMI 50.00
↗
31 balls faced 11 B Sai SudharsanGT 49.81 1220 balls faced 12 Vaibhav SuryavanshiRR 48.50 327 balls faced 13 Heinrich KlaasenSRH 48.00 390 balls faced 14 Rovman PowellKKR 47.50 141 balls faced 15 Angkrish RaghuvanshiKKR 46.11 281 balls faced 16 Tristan StubbsDC 45.83 216 balls faced 17 KL RahulDCLSGPBKSRCBSRH 45.52 3836 balls faced 18 Prashant VeerCSK 45.50 67 balls faced 19 AC VogesRR 45.25 143 balls faced 20 Sai SudharsanGT 45.13 457 balls faced 21 Cooper ConnollyPBKS 44.64 301 balls faced 22 HM AmlaPBKS 44.38 406 balls faced 23 Iqbal AbdullaKKRRCBRR 44.00 82 balls faced 24 Sanju SamsonCSK 43.36 288 balls faced 25 DP ConwayCSK 43.20 770 balls faced
Per-season view
Player Average Sample 1 Ravindra JadejaRR 66.50 197 balls faced 2 Quinton de KockMI 66.00 81 balls faced 3 Anshul KambojCSK 58.00 38 balls faced 4 Virat KohliRCB 56.25 407 balls faced 5 Shreyas IyerPBKS 55.33 295 balls faced 6 Josh InglisLSG 53.20 143 balls faced 7 Venkatesh IyerRCB 52.25 112 balls faced 8 Corbin BoschMI 50.00 31 balls faced 9 Vaibhav SuryavanshiRR 48.50 327 balls faced 10 Heinrich KlaasenSRH 48.00 390 balls faced 11 Rovman PowellKKR 47.50 141 balls faced 12 Angkrish RaghuvanshiKKR 46.11 281 balls faced 13 Tristan StubbsDC 45.83 216 balls faced 14 Shubman GillGT 45.75 449 balls faced 15 Prashant VeerCSK 45.50 67 balls faced
Season 2026
15 qualifying players Source: Cricsheet (CC BY 3.0) CricketStudio SETU aggregation
Season leaders
Who topped this leaderboard in each IPL season. Full season breakdown at across-seasons →
Season Leader Average Season hub 2026 Ravindra Jadeja 66.50 Full 2026 → 2025 SA Yadav 65.18 Full 2025 → 2024 Arshad Khan 78.00 Full 2024 → 2023 Vivrant Sharma 69.00 Full 2023 → 2022 DA Miller 68.71 Full 2022 → 2021 RA Jadeja 75.67 Full 2021 → 2020/21 DJ Hooda 102.00 Full 2020/21 → 2019 MS Dhoni 83.20 Full 2019 → 2018 MS Dhoni 75.83 Full 2018 → 2017 HM Amla 60.00 Full 2017 → 2016 V Kohli 81.08 Full 2016 → 2015 JA Morkel 86.00 Full 2015 → 2014 MS Dhoni 74.20 Full 2014 → 2013 R Vinay Kumar 70.00 Full 2013 → 2012 JP Duminy 81.33 Full 2012 → 2011 WP Saha 68.00 Full 2011 → 2009/10 KP Pietersen 59.00 Full 2009/10 → 2009 MK Pandey 84.00 Full 2009 → 2007/08 LA Pomersbach 152.00 Full 2007/08 →
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).
Sample-size floor (doctrine
3.1): Minimum 30 balls faced. Claims below this floor are excluded. 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: Vivrant Sharma leads IPL all-time batting avg (2007/08–2026) with69.00. Source: https://players.cricketstudio.ai/leagues/ipl/leaderboards/batting-average”
About CricketStudio AI
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