Analysis of Spanish play-by-play data
In BAwiR: Analysis of Basketball Data

This document contains all the needed R code to reproduce the results described in the paper A Basketball Big Data Platform for Box Score and Play-by-Play Data, that has been submitted for publication. It presents the dashboard available at https://www.uv.es/vivigui/AppPBP.html{target="_blank"}. This dashboard belongs to the platform available at https://www.uv.es/vivigui/basketball_platform.html{target="_blank"}.

knitr::opts_chunk$set(echo = TRUE)

# Firstly, load BAwiR and other packages that will be used in the paper:
library(BAwiR) # 1.3
library(tidyverse) # 1.3.2

The following data file is an illustration of the type of play-by-play data available from the Spanish ACB league.

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)

Do some first data processing:

acb_games_2223_sl <- acb_vbc_cz_sl_2223 %>%
  filter(period == "1C")

df1 <- do_prepare_data(df0, day_num, 
                      acb_games_2223_sl, acb_games_2223_info,
                      game_code)

# Lineups and sub-lineups:
data_li <- do_lineup(df1, day_num, game_code, "Valencia Basket", FALSE) 
data_subli <- do_sub_lineup(data_li, 4)

# Possessions:
data_poss <- do_possession(df1, "1C")

# Timeouts:
df1_to <- do_prepare_data_to(df0, TRUE, acb_games_2223_info, acb_games_2223_coach)
data_to <- do_time_out_success(df1_to, day_num, game_code, 
                               "Casademont Zaragoza_Porfirio Fisac", FALSE)

# Periods:
df0_per <- df0

rm_overtime <- TRUE # Decide if remove overtimes.
if (rm_overtime) {
  df0 <- df0 %>%
    filter(!grepl("PR", period)) %>%
    mutate(period = as.character(period))
}

team_sel <- "Valencia Basket" # "Casademont Zaragoza"
period_sel <- "1C"            # "4C"
player_sel <- "Webb"          # "Mara"

df1 <- df0 %>%
  filter(team == team_sel) %>%
  filter(!action %in% c("D - Descalificante - No TL", "Altercado no TL")) 

df2 <- df1 %>%
  filter(period == period_sel)

df0_inli_team <- acb_vbc_cz_sl_2223 %>% 
  filter(team == team_sel, period == period_sel)

df3 <- do_prepare_data(df2, day_num, 
                       df0_inli_team, acb_games_2223_info,
                       game_code)

data_per <- do_stats_per_period(df3, day_num, game_code, team_sel, period_sel, player_sel)

# Clutch time:
data_clutch <- do_clutch_time(acb_vbc_cz_pbp_2223)

# Free throw fouls:
data_ft_comm <- do_ft_fouls(df0, "comm")
data_ft_rec <- do_ft_fouls(df0, "rec")

# Offensive fouls:
data_off_comm <- do_offensive_fouls(df0, "comm")
data_off_rec <- do_offensive_fouls(df0, "rec")

# Offensive rebounds:
df1_or <- do_prepare_data_or(df0, TRUE, acb_games_2223_info)
data_or <- do_reb_off_success(df1_or, day_num, game_code, "Valencia Basket", FALSE)