do_possession_stats: Possessions-related statistics for teams

In BAwiR: Analysis of Basketball Data

Possessions-related statistics for teams

Description

Compute the possessions-related statistics for teams. These statistics are offensive rating, defensive rating, net rating, pace and number of possessions.

Usage

do_possession_stats(data_possess, season = "2025-2026")

Arguments

data_possess	Data frame with the beginning of each possession obtained with do_possession.
season	Season string.

Details

See https://www.basketball-reference.com/about/glossary.html for formulas and explanations.

Both teams in the same game share the same pace. Pace reflects the tempo of the game itself, not just one team's style. Over many games, a team's average pace reflects how fast they usually play, but any individual game's pace is shared with their opponent.

Value

A data frame with the possessions statistics for each team.

Author(s)

Guillermo Vinue

See Also

do_possession

Examples

## Not run: 
library(dplyr)
df0 <- acb_vbc_cz_pbp_2223

day_num <- unique(acb_vbc_cz_pbp_2223$day)
game_code <- unique(acb_vbc_cz_pbp_2223$game_code)

# Starting players:
acb_games_2223_sl <- acb_vbc_cz_sl_2223 %>%
  dplyr::filter(period == "1C")

# Prepare data:
df1 <- do_prepare_data(df0, day_num, 
                       acb_games_2223_sl, acb_games_2223_info,
                       game_code)

teams_game <- sort(unique(df1$team))

# Study the lineups:
data_res <- do_study_lineup(df1, day_num, game_code_num, teams_game[1], FALSE) 
data_all_posse <- data_res$data_pos %>% select(-row_num)

# Statistics of possessions:
data_poss_st <- do_possession_stats(data_all_posse, "2022-2023")

## End(Not run)

BAwiR documentation built on Feb. 27, 2026, 5:07 p.m.