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wbb_four_factors.R
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wbb_four_factors.R
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suppressWarnings(library(tidyverse, quietly = TRUE))
library(wehoop, quietly = TRUE)
library(cbbdata, quietly = TRUE)
current_year <- 2024
scores <- load_wbb_team_box()
teams <- cbd_teams()
conferences <- cbd_torvik_ratings(year = current_year) %>%
select(team, conf)
team_key <- teams %>%
left_join(conferences, by = c("common_team" = "team")) %>%
select(espn_id, team = common_team, conf) %>%
mutate(espn_id = as.numeric(espn_id))
scores_clean <- scores %>%
left_join(team_key, by = c("team_id" = "espn_id"),
relationship = "many-to-many") %>%
left_join(team_key, by = c("opponent_team_id" = "espn_id"),
suffix = c("","_opp"),
relationship = "many-to-many") %>%
filter(!is.na(conf))
valid_game_ids <- scores_clean %>%
group_by(game_id) %>%
count() %>%
filter(n == 2) %>%
pull(game_id)
scores_box <- scores_clean %>%
filter(game_id %in% valid_game_ids) %>%
select(game_id, game_date, team_id, team, opp_id = opponent_team_id, opp_team = team_opp, assists:turnovers, points = team_score) %>%
group_by(game_id) %>%
mutate(obs = row_number()) %>%
mutate(opp_offensive_rebounds = ifelse(obs == 1, lead(offensive_rebounds), lag(offensive_rebounds)),
opp_defensive_rebounds = ifelse(obs == 1, lead(defensive_rebounds), lag(defensive_rebounds))) %>%
ungroup() %>%
mutate(points = as.numeric(points))
print("Aggregated box scores for team stats page.")
team_stats_offense <- scores_box %>%
group_by(team_id) %>%
summarise(games = n(),
fgm = sum(field_goals_made),
fga = sum(field_goals_attempted),
fg3m = sum(three_point_field_goals_made),
fg3a = sum(three_point_field_goals_attempted),
fg2m = fgm - fg3m,
fg2a = fga - fg3a,
ftm = sum(free_throws_made),
fta = sum(free_throws_attempted),
to = sum(turnovers),
ast = sum(assists),
stl = sum(steals),
blk = sum(blocks),
trb = sum(total_rebounds),
orb = sum(offensive_rebounds),
drb = trb - orb,
opp_orb = sum(opp_offensive_rebounds),
opp_drb = sum(opp_defensive_rebounds),
poss = (fga-orb) + to + 0.44 * fta,
pts = sum(points),
.groups = "drop")
team_stats_defense <- scores_box %>%
group_by(opp_id) %>%
summarise(games = n(),
fgm = sum(field_goals_made),
fga = sum(field_goals_attempted),
fg3m = sum(three_point_field_goals_made),
fg3a = sum(three_point_field_goals_attempted),
fg2m = fgm - fg3m,
fg2a = fga - fg3a,
ftm = sum(free_throws_made),
fta = sum(free_throws_attempted),
to = sum(turnovers),
ast = sum(assists),
stl = sum(steals),
blk = sum(blocks),
trb = sum(total_rebounds),
orb = sum(offensive_rebounds),
drb = trb - orb,
opp_orb = sum(opp_offensive_rebounds),
opp_drb = sum(opp_defensive_rebounds),
poss = (fga-orb) + to + 0.44 * fta,
pts = sum(points),
.groups = "drop")
four_factors_offense <- team_stats_offense %>%
group_by(team_id) %>%
summarise(fg_pct = fgm/fga,
ft_pct = ftm/fta,
fg2_pct = fg2m/fg2a,
fg3_pct = fg3m/fg3a,
ts_pct = pts / (2 * (fga + 0.44 * fta)),
ast_rate = ast / fgm,
fg3_rate = fg3a / fga,
to_rate = to / (fga + 0.44 * fta + to),
ft_rate = fta / fga,
orb_rate = orb / (orb + opp_drb)) %>%
left_join(team_key, by = c("team_id" = "espn_id")) %>%
select(team, conf, everything()) %>%
filter(!is.na(team) & !is.na(conf)) %>%
distinct(team_id, .keep_all = TRUE)
four_factors_defense <- team_stats_defense %>%
rename(team_id = opp_id) %>%
group_by(team_id) %>%
summarise(fg_pct = fgm/fga,
ft_pct = ftm/fta,
fg2_pct = fg2m/fg2a,
fg3_pct = fg3m/fg3a,
ts_pct = pts / (2 * (fga + 0.44 * fta)),
ast_rate = ast / fgm,
fg3_rate = fg3a / fga,
to_rate = to / (fga + 0.44 * fta + to),
ft_rate = fta / fga,
orb_rate = orb / (orb + opp_drb)) %>%
left_join(team_key, by = c("team_id" = "espn_id")) %>%
select(team, conf, everything()) %>%
filter(!is.na(team) & !is.na(conf)) %>%
distinct(team_id, .keep_all = TRUE)
four_factors_offense_ranked <- four_factors_offense %>%
mutate(fg_pct_rk = dense_rank(-fg_pct),
ft_pct_rk = dense_rank(-ft_pct),
fg2_pct_rk = dense_rank(-fg2_pct),
fg3_pct_rk = dense_rank(-fg3_pct),
ts_pct_rk = dense_rank(-ts_pct),
ast_rate_rk = dense_rank(-ast_rate),
fg3_rate_rk = dense_rank(-fg3_rate),
to_rate_rk = dense_rank(to_rate),
ft_rate_rk = dense_rank(-ft_rate),
orb_rate_rk = dense_rank(-orb_rate)) %>%
select(team, conf,
contains("fg_pct"),
contains("ft_pct"),
contains("fg2_pct"),
contains("fg3_pct"),
contains("ts_pct"),
contains("ast_rate"),
contains("fg3_rate"),
contains("to_rate"),
contains("ft_rate"),
contains("orb_rate"))
four_factors_defense_ranked <- four_factors_defense %>%
mutate(fg_pct_rk = dense_rank(fg_pct),
ft_pct_rk = dense_rank(ft_pct),
fg2_pct_rk = dense_rank(fg2_pct),
fg3_pct_rk = dense_rank(fg3_pct),
ts_pct_rk = dense_rank(ts_pct),
ast_rate_rk = dense_rank(ast_rate),
fg3_rate_rk = dense_rank(fg3_rate),
to_rate_rk = dense_rank(-to_rate),
ft_rate_rk = dense_rank(ft_rate),
orb_rate_rk = dense_rank(orb_rate)) %>%
select(team, conf,
contains("fg_pct"),
contains("ft_pct"),
contains("fg2_pct"),
contains("fg3_pct"),
contains("ts_pct"),
contains("ast_rate"),
contains("fg3_rate"),
contains("to_rate"),
contains("ft_rate"),
contains("orb_rate"))
write_csv(four_factors_offense_ranked, "/Users/ben/Desktop/Code/wbb-rankings/four_factors_o.csv")
print("Built offensive team stats CSV and wrote to four_factors_o.csv filepath.")
write_csv(four_factors_defense_ranked, "/Users/ben/Desktop/Code/wbb-rankings/four_factors_d.csv")
print("Built defensive team stats CSV and wrote to four_factors_d.csv filepath.")