Glenn Phillips IPL profile: the explosive Kiwi who makes every ball count. In just eight IPL innings across two seasons the right-hander has already cleared the rope six times, showing the fearless hitting that has made him a T20 globetrotter. Phillips arrived in 2021 with Rajasthan Royals, but it was in the 2023 Sunrisers Hyderabad camp where he reminded everyone why he is rated among the most dangerous middle-order finishers. Facing 55 balls in the tournament he blasted 65 runs at a strike-rate of 118, including three fours and six maximums. His highest score of 25 may seem modest, yet the manner in which he reached it—regularly finding the stands—kept scoreboard pressure on every opponent. While primarily signed for his batting pyrotechnics, Phillips also offers a handy off-spin option. In four bowling innings he snapped up two wickets, never going for more than one scalp in a spell but always keeping the runs in check. His 30 balls in the tournament cost only 40 runs, translating to an economy of eight and a strike-rate of 15.0 balls per wicket, proving he can break partnerships when called upon. Two seasons, two franchises, one clear message: Glenn Phillips is the multi-skilled match-winner that modern T20 sides crave.

Dwayne Bravo IPL journey: 183 wickets in 158 innings, 17.05 balls per scalp, 8.38 economy—numbers that make him one of the most feared death-overs specialists in tournament history. The Trinidadian all-rounder turned up for Chennai Super Kings in 9 of his 14 seasons, lifting the trophy four times in yellow. His 4-14 best figures and 16 three-wicket bursts underline relentless pressure, while 3,120 balls of control across 158 bowling innings tell the story of a master tactician. With the bat he still chipped in 1,560 runs at a 129 strike-rate, including 120 fours and 66 sixes, often flipping games in the final overs. From 2008 to 2022, Bravo’s name became synonymous with last-over magic and celebratory dance moves, making the “Champion” bowler an IPL legend.

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