Mitchell Marsh IPL 2025: 1292 runs at 142 strike-rate, 75 sixes, 9 fifties, 1 hundred – Lucknow Super Giants’ power-packed all-rounder Australian dynamo Mitchell Marsh has become one of the Indian Premier League’s most feared batting all-rounders, and his 2025 move to Lucknow Super Giants only cements that reputation. Across nine seasons Marsh has hammered 1292 runs from 904 balls, clearing the ropes 75 times and finding the fence 104 times. His lone century – a commanding 117 – headlines nine half-centuries that underline his knack for converting starts into match-defining scores. A blistering strike-rate of 142 means every ball he faces carries boundary potential, and LSG will bank on that fire-power atop their order. With the ball Marsh is equally influential, claiming 37 wickets in 34 bowling innings at an economy of 8.52. Three separate three-wicket hauls show he can break partnerships when the game hangs in the balance, and his strike-rate of 15.14 balls per wicket highlights consistent penetration. From Pune Warriors to Delhi Capitals and now Lucknow Super Giants, Marsh’s journey reflects a player who keeps evolving; his 2025 role as dual-threat match-winner could be the missing piece in LSG’s title puzzle.

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.