Get Four Factor Statistics — bart

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

Usage

bart_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:

team: character.
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_factors(quad='3', venue='away', start='20220101')
#> # A tibble: 357 x 24
#>    team       conf  barthag rec    wins games adj_t adj_o off_efg off_to off_or
#>    <chr>      <chr>   <dbl> <chr> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>  <dbl>
#>  1 Gonzaga    WCC     0.981 4–1       4     5  78.3  118.    58.5   16.5   20  
#>  2 Duke       ACC     0.979 9–1       9    10  65.5  126.    56.6   14.5   32.6
#>  3 Arizona    P12     0.960 7–2       7     9  73.8  122.    55.9   18.5   33.7
#>  4 Kentucky   SEC     0.948 6–4       6    10  67.6  116.    49.4   18.2   32.8
#>  5 Murray St. OVC     0.943 2–0       2     2  64.1  112.    50.9   14.9   28.6
#>  6 Vermont    AE      0.938 3–0       3     3  66.1  116.    66.1   16.4   21.3
#>  7 Kansas     B12     0.930 5–4       5     9  68.1  120.    51.1   20.3   35.1
#>  8 Baylor     B12     0.929 7–3       7    10  68.4  116.    50.6   20.3   32.9
#>  9 Iowa       B10     0.918 5–4       5     9  69.1  121.    52.3   12.7   31.1
#> 10 Villanova  BE      0.913 7–2       7     9  66.2  120.    54.1   18.7   30.1
#> # ... with 347 more rows, and 13 more variables: off_ftr <dbl>, 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>, start <chr>