Irfan Pathan’s IPL story is told best through the rhythm of his left-arm swing. Across nine seasons from 2008 to 2017, the all-rounder turned 2043 deliveries into 80 wickets at a strike-rate of 25.54, keeping batters guessing with an economy of 7.78. Four times he tilted matches with three-wicket bursts, never more devastating than when the new ball nipped away under lights. Yet Pathan the bowler had a batting heartbeat. Promoted up the order, he smashed 1139 runs from 946 balls, striking at 120 and clearing the ropes 37 times while threading 87 fours. His lone fifty—an electric 60—came at 186.66 and remains a reminder that he could flip a chase in a flash. From Punjab Kings in the inaugural year to the debutant Gujarat Titans in 2017, Pathan wore six different jerseys, but the left-arm angle and fearless swing stayed constant. Eighty wickets, 1139 runs: the numbers frame a rare IPL double—strike bowler who could also open the batting and win you a game either side of the innings.

Sandeep Sharma IPL 2025: Swing master headlines Rajasthan Royals attack with 146 wickets across 13 seasons Since his debut in 2013, Sandeep Sharma has quietly built one of the most consistent new-ball résumés in IPL history. Operating for Rajasthan Royals since 2023 (after earlier stints with Punjab Kings and Sunrisers Hyderabad), the right-arm seamer has sent down 3,041 deliveries and walked away with 146 wickets—an impressive strike rate of 20.83 balls per wicket. His economy sits at a tight 8.03 runs per over, rare restraint in the slam-bang format. Eleven three-wicket hauls and a solitary five-for underline his ability to break open an innings, while his best figures of 5/25 remain a testament to his knack for late-swing devastation. Sandeep’s longevity—13 campaigns and counting—makes him one of only a handful of bowlers to appear in every IPL season since 2013, and the only one to spend five-plus seasons each with both Punjab Kings and Sunrisers Hyderabad before anchoring the Royals attack.

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