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.

Faf du Plessis has become one of the most bankable IPL openers across 13 seasons and four franchises, culminating in his 2025 stint with Delhi Capitals. The South African has stacked up 4,773 runs at a strike rate of 135, carving 439 boundaries and clearing the rope 174 times—numbers that paint the picture of a batsman who keeps the scoreboard in perpetual motion. With 39 half-centuries from 147 innings, he has built consistency into aggression, while his unbeaten 96 remains the tantalising high-water mark just short of a maiden IPL ton. From Chennai Super Kings’ yellow to Royal Challengers Bengaluru’s red and now Delhi Capitals’ blue, du Plessis has turned every jersey into a run-making statement, proving that adaptability and class travel well in T20 cricket.

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