Get Conference Four Factor Statistics — bart_conf

Returns conference-wide four factor data on a variety of splits, including date range, quadrant level, opponent ranking, game location, and game type.

Usage

bart_conf_factors(
  year = current_season(),
  venue = "all",
  type = "all",
  quad = "4",
  top = 0,
  start = NULL,
  end = NULL
)

Arguments

year: Defaults to current season (YYYY).
venue: Filters by venue; defaults to `all`.
type: Filters by game type; defaults to `all`.
quad: Filters by quadrant level; defaults to `4`.
top: Filters by opponent T-Rank position; defaults to NULL (all).
start: Filters by start date; defaults to NULL (full season).
end: Filters by end date; defaults to NULL (full season).

Value

Returns a tibble with 22 columns:

conf: character.
barthag: double. The estimation of a team's win probability against the average Division 1 team on a neutral court.
rec: character.
wins: double.
games: double.
adj_t: double.
adj_o: double.
off_efg: double.
off_to: double.
off_or: double.
off_ftr: double.
adj_d: double.
def_efg: double.
def_to: double.
def_or: double.
def_ftr: double.
wab: double. The number of wins above or below the expected total from a bubble team against the same schedule.
year: double.
venue: character. Split supplied to the venue argument.
type: character. Split supplied to the type argument.
top: double. Split supplied to the top argument.
quad: character. Split supplied to the quad argument.

Details

For a brief explanation of each factor and its computation, please visit KenPom's blog. Data can be split on five variables:

venue: Splits on game location; 'all', 'home', 'away', 'neutral', and 'road' (away + neutral).
type: Splits on game type; 'all', 'nc' (non-conference), 'conf' (conference), 'reg' (regular season), 'post' (post-season tournaments), 'ncaa' (NCAA tournament).
quad: Splits by quadrant level; 1-4 with 0 indicating 1-A games.
top: Splits by opponent T-Rank position, adjusted for game location.
start/end: Splits by date range (YYYYMMDD).

Examples

bart_conf_factors(type='nc')
#> # A tibble: 32 x 22
#>    conf  barthag rec     wins games adj_t adj_o off_efg off_to off_or off_ftr
#>    <chr>   <dbl> <chr>  <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>  <dbl>   <dbl>
#>  1 B12     0.881 105–22   105   127  68.1  107.    53.1   18.8   33.9    31.4
#>  2 B10     0.834 108–31   108   139  69    109.    53.5   17.6   30.9    33.6
#>  3 SEC     0.820 129–47   129   176  69.8  106.    50.8   18.1   33.8    31.1
#>  4 BE      0.791 88–27     88   115  70.2  107.    51.7   18.5   32.2    33.4
#>  5 P12     0.748 82–41     82   123  69.2  105.    50.6   17.6   31.7    32.1
#>  6 ACC     0.746 106–53   106   159  68.5  106.    51.8   17.4   29.5    32.5
#>  7 Amer    0.718 82–42     82   124  68.3  104.    50.2   18.1   31.7    32  
#>  8 MWC     0.698 83–41     83   124  68    104.    51.6   17.9   26.5    31  
#>  9 WCC     0.675 81–51     81   132  69.4  103.    51.9   19.4   28.8    29.2
#> 10 A10     0.609 98–66     98   164  68.4  103.    51.4   18.4   28.5    30.9
#> # ... with 22 more rows, and 11 more variables: adj_d <dbl>, def_efg <dbl>,
#> #   def_to <dbl>, def_or <dbl>, def_ftr <dbl>, wab <dbl>, year <dbl>,
#> #   venue <chr>, type <chr>, top <dbl>, quad <chr>