Karan Sharma IPL Profile: 83 Wickets Across 12 Seasons Prove He’s a Bowling Asset Worth Watching Karan Sharma’s journey through the Indian Premier League has been defined by one golden arm rather than the bat. Across 87 bowling innings spread over 12 seasons, the 33-year-old off-spinner has picked up 83 wickets at a strike-rate of 19.10—meaning he bursts open an opposition partnership once every three overs. His economy of 8.38 is par for the modern T20 era, but the ability to break stands is what has kept franchises queuing up. Sharma has turned the ball for Chennai Super Kings, Royal Challengers Bengaluru, Sunrisers Hyderabad and now Mumbai Indians, and every stop has produced a match-shaping spell: six three-wicket bursts and a best of 4/25 that showcase his knack for ripping through a middle order. While the bat has rarely been his calling card—352 runs in 40 innings at a highest of 39—Sharma can still clear the ropes when needed, depositing 17 sixes among 20 fours for a strike-rate of 119. Those cameo boundaries have often lifted his team past the par score after he has done the damage with the ball. From his debut in 2009 with RCB to his latest 2025 stint with MI, Sharma has remained a silent banker captains trust in crunch overs.

Ajinkya Rahane IPL journey spans 17 seasons, 183 innings and a mountain of 5,032 runs that have come off 4,025 balls at a brisk strike-rate of 125. The Mumbai-born right-hander has punished bowlers for 514 fours and 123 sixes, crossing fifty 33 times and reaching three figures on two memorable occasions, the highest being an unbeaten 105. After stints with Mumbai Indians, Rajasthan Royals, Rising Pune Supergiant, Delhi Capitals and Chennai Super Kings, he is back with Kolkata Knight Riders for IPL 2025. While Rahane has rolled his arm over only once in the league, picking up a solitary wicket in a six-ball cameo that cost five runs, he remains celebrated as one of the league’s most technically sound and consistent top-order batsmen.

Note: This overview is partially generated using AI and is based on statistical data. Please verify with official sources for complete accuracy.