bart_conf_factors: Get Conference Four Factor Statistics

Description

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(),
  conf = NULL,
  opp_conf = NULL,
  type = NULL,
  location = NULL,
  start = NULL,
  end = NULL
)

Value

Returns a tibble with 21 columns:

conf: character.
rating: double. Expected scoring margin against an average team on a neutral court.
rank: double.
adj_o: double.
adj_o_rank: double.
adj_d: double.
adj_d_rank: double.
tempo: double.
off_ppp: double. Raw points scored per possession.
off_efg: double. Team effective FG%.
off_to: double. Offensive turnover rate.
off_or: double. Offensive rebound rate.
off_ftr: double. Offensive free throw rate.
def_ppp: double. Raw points allowed per possession.
def_efg: double. Effective FG% allowed.
def_to: double. Turnover rate forced.
def_or: double. Defensive rebound rate.
def_ftr: double. Free throw rate allowed.
wins: integer.
losses: integer.
games: integer.

Arguments

year: Filters to year (YYYY)
conf: Filters to conference
opp_conf: Filters to opponent conference
type: Filters to game type ('nc', 'conf', or 'post')
location: Filters to game location ('H', 'A', or 'N')
start: Filters by starting date (YYYY-MM-DD)
end: Filters by ending date (YYYY-MM-DD)

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

Run this code

try(bart_conf_factors(type='nc'))

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