Rescale counting stats to a per-possession basis (defaults to the
familiar per-100). Adds one "{col}_per_{per}" column per requested stat.
Usage
nba_per_possessions(df, cols, possessions = "poss", per = 100)
Arguments
- df
A data frame / tibble of box-score rows.
- cols
Character vector of counting-stat columns to rescale.
- possessions
Name of the possessions column. Defaults to "poss".
- per
Possessions to scale to. Defaults to 100.
Value
df with the added per-possession columns.
See also
Other Basketball Analytics Utilities:
nba_add_advanced_metrics(),
nba_assist_pct(),
nba_assist_to_turnover(),
nba_defensive_rating(),
nba_effective_fg_pct(),
nba_four_factors(),
nba_ft_rate(),
nba_game_score(),
nba_net_rating(),
nba_offensive_rating(),
nba_oreb_pct(),
nba_pace(),
nba_per_minutes(),
nba_possessions(),
nba_true_shooting_pct(),
nba_turnover_pct(),
nba_usage_rate()
Examples
box <- data.frame(team = c("A", "B"), poss = c(98, 102),
pts = c(112, 109), tov = c(13, 11))
nba_per_possessions(box, cols = c("pts", "tov"))
#> team poss pts tov pts_per_100 tov_per_100
#> 1 A 98 112 13 114.2857 13.26531
#> 2 B 102 109 11 106.8627 10.78431
