CricfanAI

25 April in cricket

25 April

Dates follow UTC, the same clock as our daily posts.

Best innings on 25 April

Best bowling on 25 April

Matches on 25 April

  • Delhi Capitals vs Punjab Kings — Punjab Kings won by 6 wicketsIPL · 2026
  • Quetta Gladiators vs Karachi Kings — Karachi Kings won by 9 wicketsPSL · 2026
  • Peshawar Zalmi vs Lahore Qalandars — Lahore Qalandars won by 6 wicketsPSL · 2026
  • India vs South Africa — India won by 14 runsT20I · 2026
  • Rajasthan Royals vs Sunrisers Hyderabad — Sunrisers Hyderabad won by 5 wicketsIPL · 2026
  • Quetta Gladiators vs Karachi Kings — Quetta Gladiators won by 5 runsPSL · 2025
  • Chennai Super Kings vs Sunrisers Hyderabad — Sunrisers Hyderabad won by 5 wicketsIPL · 2025
  • New Zealand vs Pakistan — New Zealand won by 4 runsT20I · 2024
  • Royal Challengers Bengaluru vs Sunrisers Hyderabad — Royal Challengers Bengaluru won by 35 runsIPL · 2024
  • Gujarat Titans vs Mumbai Indians — Gujarat Titans won by 55 runsIPL · 2023
  • Punjab Kings vs Chennai Super Kings — Punjab Kings won by 11 runsIPL · 2022
  • Pakistan vs Zimbabwe — Pakistan won by 24 runsT20I · 2021
  • Chennai Super Kings vs Royal Challengers Bengaluru — Chennai Super Kings won by 69 runsIPL · 2021
  • Delhi Capitals vs Sunrisers Hyderabad — Delhi Capitals wonIPL · 2021
  • Kolkata Knight Riders vs Rajasthan Royals — Rajasthan Royals won by 3 wicketsIPL · 2019
  • Royal Challengers Bengaluru vs Chennai Super Kings — Chennai Super Kings won by 5 wicketsIPL · 2018
  • Punjab Kings vs Mumbai Indians — Mumbai Indians won by 25 runsIPL · 2016
  • Mumbai Indians vs Sunrisers Hyderabad — Mumbai Indians won by 20 runsIPL · 2015
  • Chennai Super Kings vs Punjab Kings — Chennai Super Kings won by 97 runsIPL · 2015
  • Sunrisers Hyderabad vs Delhi Capitals — Sunrisers Hyderabad won by 4 runsIPL · 2014
  • Chennai Super Kings vs Mumbai Indians — Chennai Super Kings won by 7 wicketsIPL · 2014
  • Chennai Super Kings vs Sunrisers Hyderabad — Chennai Super Kings won by 5 wicketsIPL · 2013
  • Punjab Kings vs Mumbai Indians — Mumbai Indians won by 4 wicketsIPL · 2012
  • Chennai Super Kings vs Pune Warriors — Chennai Super Kings won by 25 runsIPL · 2011
  • Chennai Super Kings vs Mumbai Indians — Chennai Super Kings won by 22 runsIPL · 2010
Coverage & definitionsCricsheet ball-by-ball · matches played on this date (UTC) · data through 2 November 2026Show ▾

Source. Ball-by-ball data from Cricsheet. New matches are loaded from Cricsheet twice a day (10:00 and 22:00 UTC), typically a day or two after a match is published there.

Internationals. T20 internationals are included only when both teams are ICC full members. Fixtures against Associate nations (e.g. Netherlands, Scotland, Nepal, USA) are not in the dataset, so international totals for players who faced them are lower than their full career figures. Afghanistan men's internationals are absent for a different reason: Cricsheet has withheld every match involving the Afghanistan men's team since 14 November 2024, so none of them can be loaded. Every full member's totals are lower by the matches they played against Afghanistan, and Afghanistan men's players do not appear at all. Afghanistan women's matches are unaffected.

Leagues. Leagues: IPL, BBL, PSL, CPL, SA20, MLC, ILT20, BPL, LPL, WBBL, WPL — full history of each. Domestic T20 competitions outside this list (e.g. the Blast, SMAT, Super Smash) are not included.

Exclusions. Super overs are excluded from every total. A match abandoned without a ball bowled has no ball-by-ball file and is not in the dataset, even where a toss took place and official records credit the named players with an appearance. M can therefore sit one or two below a player's official career figure. Match appearances (M) come from the playing XI in each match file, so a match where a player neither batted nor bowled still counts as an appearance. Where M is missing, that player's appearances have not been loaded yet.

"Best" innings and spells are ranked by runs and by wickets then runs conceded; a quiet date here is only quiet within this dataset.

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