Returns detailed game-by-game player statistics on a variety of splits.
Usage
bart_player_game(year = current_season(), stat = "all")Value
Returns a tibble with the number of columns dependent on the value supplied to the `stat` argument.
Details
#' Data is split on three statistical types, explained below:
- box
Returns basic box score stats; sorts by ppg.
- shooting
Returns play-by-play shooting splits; sorts by ppg.
- adv
Returns advanced metrics and possession-adjusted box score statistics; sorts by recruiting rank.
Examples
bart_player_game(year=2022, stat='box')
#> # A tibble: 108,177 x 27
#> date year player exp team opp result min pts two_m two_a
#> <date> <dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 2021-11-09 2022 Jalen Cole~ Sr Kans~ Mich~ W 10 5 0 2
#> 2 2021-11-12 2022 Jalen Cole~ Sr Kans~ Tarl~ W 12 10 2 2
#> 3 2021-11-18 2022 Jalen Cole~ Sr Kans~ Ston~ W 15 7 2 2
#> 4 2021-11-25 2022 Jalen Cole~ Sr Kans~ Nort~ W 10 0 0 1
#> 5 2021-11-26 2022 Jalen Cole~ Sr Kans~ Dayt~ L 8 0 0 1
#> 6 2021-11-28 2022 Jalen Cole~ Sr Kans~ Iona W 5 0 0 0
#> 7 2021-12-03 2022 Jalen Cole~ Sr Kans~ St. ~ W 5 3 0 1
#> 8 2021-12-07 2022 Jalen Cole~ Sr Kans~ UTEP W 10 6 1 1
#> 9 2021-12-11 2022 Jalen Cole~ Sr Kans~ Miss~ W 12 8 1 1
#> 10 2021-12-18 2022 Jalen Cole~ Sr Kans~ Step~ W 4 2 0 0
#> # ... with 108,167 more rows, and 16 more variables: three_m <dbl>,
#> # three_a <dbl>, fgm <dbl>, fga <dbl>, ftm <dbl>, fta <dbl>, oreb <dbl>,
#> # dreb <dbl>, reb <dbl>, ast <chr>, tov <chr>, stl <chr>, blk <chr>,
#> # pf <chr>, id <chr>, game_id <chr>