bart_factors: Get Four Factor Statistics

Description

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(),
  result = NULL,
  type = NULL,
  start = NULL,
  end = NULL,
  location = NULL,
  last = NULL
)

Value

Returns a tibble with 22 columns:

team: character.
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: Defaults to current season (YYYY).
result: Filters by result ('W' or 'L')
type: Filter by game type ('nc', 'conf', or 'post')
start: Filters by starting date (YYYY-MM-DD)
end: Filters by ending date (YYYY-MM-DD)
location: Filters by game location ('H', 'A', or 'N')
last: Filters by last x games played

Details

For a brief explanation of each factor and its computation, please visit KenPom's blog.

Examples

Run this code

try(bart_factors(year=2022, start='2022-01-13', type='conf'))

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