Prithvi Shaw has been Delhi Capitals’ pocket-rocket opener since 2018, lighting up seven IPL seasons with a fearless brand of batting built on one mantra—see the ball, hit the ball. Across 79 innings the right-hander has piled up 1,892 runs at a jaw-dropping strike rate of 147, turning every delivery into potential fireworks. Those numbers translate to 238 fours and 61 sixes that have dented advertising hoardings and opposition morale alike. While the three-figure mark has narrowly eluded him—his highest remains an agonising 99—Shaw has still crossed fifty on 14 occasions, proving he can both explode and anchor when the situation demands. Every season the 24-year-old has donned the DC blue, making the Ferozeshah Kotla his personal playground. With 238 boundaries already to his name, Shaw is chasing the rare 250-fours club, and at his current pace the landmark could arrive as early as IPL 2025.

Mark Wood’s IPL story is short but spectacular. The English speedster has appeared in only two seasons—2018 with Chennai Super Kings and 2023 with Lucknow Super Giants—yet his 2023 blitz still echoes around stadiums. Across five bowling innings Wood claimed 11 wickets, firing out batters at a strike rate of 10.91 balls per wicket. He peaked in match 8, demolishing Delhi Capitals with a five-wicket haul, one of just two five-fors recorded by any bowler that year. Complementing the carnage, he pocketed a three-wicket burst against Royal Challengers Bangalore, showcasing rare consistency in T20’s high-scoring era. Despite bowling on flatter Indian tracks, he kept his economy under nine runs an over, leaking only 179 runs from 120 balls. With the bat Wood is a cameo artist: 12 runs off 8 balls, including a six and a four, and a highest score of 10. Those quick runs underline his all-round value, yet it is the white-ball thunderbolts that define him. Mark Wood’s IPL numbers read five matches, eleven wickets, one five-wicket haul—firepower Lucknow Super Giants will bank on whenever he returns.

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