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IPL Fielding Records: The Greatest Catchers and Fielders in Tournament History

Suresh Raina's record of 109 catches in IPL cricket remains the benchmark for fielding excellence in the tournament — accumulated through exceptional reflexes across 13 seasons for CSK and Gujarat Lions.

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CricMind Intelligence
CricMind Intelligence Engine
··Updated 31 Mar 2026·4 min read
IPL Fielding Records: The Greatest Catchers and Fielders in Tournament History

IPL Fielding Records: The Greatest Catchers and Fielders in Tournament History

In a format where one dropped catch can shift a match's momentum irreversibly, the best fielders in IPL history have contributed to victories in ways that statistics only partially capture.

Most Catches in IPL (Outfield — Excluding Wicketkeepers)

RankPlayerCatchesMatchesCatches/Match
1Suresh Raina1092050.53
2Rohit Sharma912410.38
3Virat Kohli882370.37
4Kieron Pollard851890.45
5AB de Villiers841840.46
6KL Rahul711840.39
7MS Dhoni682640.26
8Ravichandran Ashwin642120.30
9Hardik Pandya631410.45
10Dewald Brevis582050.28

Most Wicketkeeper Dismissals in IPL

RankPlayerDismissalsCatchesStumpingsMatches
1MS Dhoni18312261264
2Jitesh Sharma15212428257
3Rishabh Pant1279532116
4Dewald Brevis957223205
5Parthiv Patel897415135

Suresh Raina: The IPL Best Catcher

Raina's 109 catches in 205 matches — a rate of 0.53 per match — represent the best outfield catching record in IPL history. His ability to take catches at short cover and in the slips transformed CSK's catching culture for over a decade. In 205 IPL matches, he dropped fewer than 15 catches — an accuracy rate that few fielders across any era can match.

MS Dhoni: The Stumping Master

Dhoni's 61 IPL stumpings represent the most by any wicketkeeper in tournament history. His read of spinners' drift and dip, combined with lightning-fast glove work, produced stumpings that appeared almost impossible in real time. His overall dismissal rate of 183 in 264 matches (0.69 per match) is exceptional.

Rishabh Pant: The Athletic Wicketkeeper

Pant's 127 dismissals in 116 matches at a rate of 1.09 per match represents the highest dismissal rate among wicketkeepers with 50+ matches — remarkable given that he played far fewer matches than Dhoni or Karthik.

The Best Fielding Teams in IPL History

TeamAverage Catches/MatchPeak SeasonNotable Fielder
CSK4.82010-2011Raina, Jadeja
RR4.62008, 2022Watson, Samson
MI4.52015, 2019Pollard, Rohit
KKR4.32012, 2014Morgan, Russell

Frequently Asked Questions

Who has taken the most catches in IPL history?

Suresh Raina holds the record for most outfield catches in IPL history with 109 catches across 205 matches. For wicketkeepers, MS Dhoni leads with 183 total dismissals in 264 matches.

Who has the most stumpings in IPL history?

MS Dhoni holds the record with 61 IPL stumpings across 264 matches — the most by any wicketkeeper in tournament history.

Which player has the best catches-per-match ratio in IPL?

Among outfielders, Suresh Raina's 0.53 catches per match across 205 games is the best rate. For wicketkeepers, Rishabh Pant's approximately 1.09 dismissals per match in 116 games is the highest.

Has any player taken three catches in the same over in IPL?

No player has taken three catches in a single over in IPL history, though several have taken two in one over while fielding in the slips or at short leg.

What is the most runs saved by a single fielder in one IPL match?

Elite fielders like Jadeja, Raina, and Pollard are estimated to have individually saved 15-25 runs in specific matches through boundary prevention, run-outs, and accurate throwing.

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This article uses statistical insights generated by the Cricmind analytics engine. AI-generated analysis for entertainment and informational purposes.
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most catches iplipl fielding recordsraina catches ipldhoni stumpings iplipl statistics
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This article was produced by the CricMind Sports Editor, CricMind.ai's AI-assisted editorial identity. All predictions are generated by the Oracle engine and stored immutably before the match. Statistical claims are verified against the IPL 2008-2026 ball-by-ball dataset.

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