A dataset containing career batting statistics for all international test players (men and women) up to 6 October 2025.
Format
A data frame with 3968 rows and 15 variables:
- Player
Player name in form of "initials surname"
- Country
Country played for
- Start
First year of test playing career
- End
Last year of test playing career
- Matches
Number of matches played
- Innings
Number of innings batted
- NotOuts
Number of times not out
- Runs
Total runs scored
- HighScore
Highest score in an innings
- HighScoreNotOut
Was highest score not out?
- Average
Batting average at end of career
- Hundreds
Total number of 100s scored
- Fifties
Total number of 50s scored
- Ducks
Total number of 0s scored
- Gender
"Men" or "Women"
Examples
cricket_batting |>
filter(Innings > 20) |>
select(Player, Country, Matches, Runs, Average, Hundreds, Fifties, Ducks) |>
arrange(desc(Average))
#> # A tibble: 1,217 × 8
#> Player Country Matches Runs Average Hundreds Fifties Ducks
#> <chr> <chr> <int> <int> <dbl> <int> <int> <int>
#> 1 DG Bradman Australia 52 6996 99.9 29 13 7
#> 2 PHKD Mendis Sri Lanka 14 1316 62.7 5 5 0
#> 3 AC Voges Australia 20 1485 61.9 5 4 2
#> 4 RG Pollock South Africa 23 2256 61.0 7 11 1
#> 5 GA Headley West Indies 22 2190 60.8 10 5 2
#> 6 H Sutcliffe England 54 4555 60.7 16 23 2
#> 7 E Bakewell England 12 1078 59.9 4 7 0
#> 8 E Paynter England 20 1540 59.2 4 7 3
#> 9 KF Barrington England 82 6806 58.7 20 35 5
#> 10 ED Weekes West Indies 48 4455 58.6 15 19 6
#> # ℹ 1,207 more rows