Lasith Malinga is the IPL’s ultimate yorker king. Across nine seasons—all in Mumbai Indians colours from 2009 to 2019—he scalped 170 wickets in 122 innings, never letting batters breathe at a stunning strike-rate of 16.63 balls per wicket. The sling-armed Sri Lankan terrorised line-ups with 18 three-wicket bursts and a memorable five-for, conceding only 7.15 runs an over despite bowling 2,827 balls of unforgiving yorkers and slower ones at the death. Malinga’s mastery peaked when he nipped out four overs for just 5.1 runs each, a record economy for any 170-wicket bowler in the league’s history. With the bat he was a handy lower-order pinch-hitter, smashing five sixes and six fours in 20 innings for 88 quick runs at a strike-rate of 88. Yet it is with the ball that Malinga became Mumbai’s heartbeat, lifting four IPL titles and finishing as the franchise’s all-time leading wicket-taker—an unbreakable legacy built on 170 scalps, 18 three-fors and one spell for the ages.

Mitchell McClenaghan, the left-arm speedster who terrorised IPL batsmen for five straight seasons in Mumbai Indians blue, finished his tournament stint with 71 wickets from 56 innings and an eye-catching strike rate of 17.94 balls per wicket. Between 2015 and 2019 the Kiwi quick became Rohit Sharma’s go-to enforcer at the top and in the death overs, ripping out eight three-wicket hauls and twice claiming four-fers while running in with trademark aggression. Operating at an economy rate of 8.49 across 1,274 deliveries that cost 1,803 runs, McClenaghan proved equally comfortable nipping out early scalps or nailing yorkers at the death. When called upon to swing the long handle he cleared the rope seven times and found five fours in 70 balls, compiling 85 quick runs at a strike rate of 121. His highest score of 20 not out underlined the lower-order firepower MI banked on. In a squad stacked with global stars, McClenaghan’s record of at least one wicket every three overs made him a vital cog in Mumbai Indians’ title-winning machine.

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