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.

Faf du Plessis has become one of the most bankable IPL openers across 13 seasons and four franchises, culminating in his 2025 stint with Delhi Capitals. The South African has stacked up 4,773 runs at a strike rate of 135, carving 439 boundaries and clearing the rope 174 times—numbers that paint the picture of a batsman who keeps the scoreboard in perpetual motion. With 39 half-centuries from 147 innings, he has built consistency into aggression, while his unbeaten 96 remains the tantalising high-water mark just short of a maiden IPL ton. From Chennai Super Kings’ yellow to Royal Challengers Bengaluru’s red and now Delhi Capitals’ blue, du Plessis has turned every jersey into a run-making statement, proving that adaptability and class travel well in T20 cricket.

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