bart_factors: Get Four Factor Statistics

In toRvik: Extensive and Tidy NCAA Men's College Basketball Data

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
)

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.

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.

Examples

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

toRvik documentation built on Nov. 10, 2022, 5:50 p.m.