Karan Sharma
Karan Sharma - Bowling By Season
Bowling Summary
- Wickets83
- Best In Match4
- Strike Rate19.10
- Economy8.38
Wickets Per Season
| Season | Inn | Wickets | Balls | Runs | SR | Eco | 3W | 4W | 5W |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 5 | 7 | 90 | 128 | 12 | 8.5333 | 2 | 0 | 0 |
| 2024 | 9 | 7 | 144 | 254 | 20 | 10.5833 | 0 | 0 | 0 |
| 2023 | 7 | 10 | 129 | 223 | 12 | 10.3721 | 0 | 0 | 0 |
| 2020 | 5 | 5 | 114 | 165 | 22 | 8.6842 | 0 | 0 | 0 |
| 2019 | 1 | 1 | 17 | 33 | 17 | 11.6471 | 0 | 0 | 0 |
| 2018 | 5 | 4 | 57 | 89 | 14 | 9.3684 | 0 | 0 | 0 |
| 2017 | 9 | 13 | 184 | 214 | 14 | 6.9783 | 1 | 1 | 0 |
| 2016 | 5 | 0 | 98 | 171 | 0 | 10.4694 | 0 | 0 | 0 |
| 2015 | 14 | 10 | 239 | 332 | 23 | 8.3347 | 0 | 0 | 0 |
| 2014 | 14 | 15 | 304 | 376 | 20 | 7.4211 | 1 | 1 | 0 |
| 2013 | 13 | 11 | 209 | 230 | 19 | 6.6029 | 0 | 0 | 0 |
Karan Sharma - Batting By Season
Batting Summary
- Runs352
- Highest Score39
- Fifties0
- Hundreds0
- Fours20
- Sixes17
- Strike Rate119
Runs Per Season
| Season | Inn | Runs | Highest | SR | 4s | 6s | 50s | 100s |
|---|---|---|---|---|---|---|---|---|
| 2025 | 1 | 1 | 1 | 100 | 0 | 0 | 0 | 0 |
| 2024 | 3 | 31 | 20 | 206 | 2 | 3 | 0 | 0 |
| 2023 | 2 | 3 | 2 | 60 | 0 | 0 | 0 | 0 |
| 2017 | 6 | 49 | 19 | 119 | 5 | 2 | 0 | 0 |
| 2016 | 3 | 36 | 26 | 120 | 3 | 1 | 0 | 0 |
| 2015 | 9 | 104 | 32 | 122 | 3 | 6 | 0 | 0 |
| 2014 | 8 | 42 | 17 | 144 | 1 | 3 | 0 | 0 |
| 2013 | 7 | 85 | 39 | 98 | 6 | 2 | 0 | 0 |
| 2009 | 1 | 1 | 1 | 33 | 0 | 0 | 0 | 0 |
Karan Sharma - IPL Career Overview
Karan Sharma IPL career highlights his role as a versatile spin-bowling all-rounder who has repeatedly swung matches with subtle turn and fearless lower-order hitting. From his debut season, the Haryana cricketer showcased sharp cricketing intelligence, mixing flatter trajectories with cleverly disguised flight to tie down power-hitters in the middle overs. His ability to break partnerships at crucial junctures has made him a trusted asset for franchises seeking control and breakthroughs alike. Beyond the ball, Sharma’s clean striking and calm head under pressure have rescued several chases, turning modest totals into match-winning scores. Fielding inside the circle, he converts half-chances into momentum-shifting wickets, underlining a complete T20 package. Whether operating on slow turners or true batting decks, Karan Sharma adapts quickly, reading pitch conditions and match-ups to deliver clutch performances. His consistent presence in the XI across multiple seasons reflects the trust placed in his skill set by coaches and captains. Fans tracking the Indian Premier League recognize him as a silent match-winner whose understated contributions often tilt the balance in high-stakes encounters, cementing his reputation as a valuable IPL performer.
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.
Note: This overview is partially generated using AI and is based on statistical data.