IPL fast-bowler S K K Ahmed has carved a niche as one of the league’s most consistent wicket-takers across eight electrifying seasons. With 89 scalps from 71 bowling innings, the left-arm quick delivers a wicket almost every 17.48 balls—an enviable strike-rate that keeps middle-orders on edge. Operating at a brisk economy of 8.98, Ahmed has mastered the art of bowling tight spells while still picking up regular breakthroughs. Nine three-wicket hauls underline his ability to tilt games in a single over, even if the elusive five-for remains just out of reach. Since bursting onto the scene with Sunrisers Hyderabad in 2018—where he spent four solid seasons—Ahmed has worn the jerseys of Delhi Capitals and, most recently, Chennai Super Kings in 2025. The move to CSK has re-energised his campaign, adding fresh firepower to the yellow brigade’s pace battery. Batting rarely demanded his attention; across six brief innings he managed only two runs, but it is with the ball that he commands the spotlight. Capable of touching the 150 kmph mark and swinging it both ways, Ahmed’s fiery yorkers and clever slower balls have made him a death-over specialist. When the pressure peaks, expect SKK Ahmed to charge in and rattle the stumps—one wicket at a time.

Ajinkya Rahane IPL journey spans 17 seasons, 183 innings and a mountain of 5,032 runs that have come off 4,025 balls at a brisk strike-rate of 125. The Mumbai-born right-hander has punished bowlers for 514 fours and 123 sixes, crossing fifty 33 times and reaching three figures on two memorable occasions, the highest being an unbeaten 105. After stints with Mumbai Indians, Rajasthan Royals, Rising Pune Supergiant, Delhi Capitals and Chennai Super Kings, he is back with Kolkata Knight Riders for IPL 2025. While Rahane has rolled his arm over only once in the league, picking up a solitary wicket in a six-ball cameo that cost five runs, he remains celebrated as one of the league’s most technically sound and consistent top-order batsmen.

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