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CFB Data Stats Examples

Saiem Gilani
@saiemgilani @saiemgilani

Source: vignettes/cfbd_stats.Rmd
cfbd_stats.Rmd

Load and Install Packages 

if (!requireNamespace('pacman', quietly = TRUE)){
  install.packages('pacman')
}
pacman::p_load(dplyr,tidyr, gt, cfbfastR)
# pacman::p_load_current_gh("sportsdataverse/cfbfastR")

Settling 2019 LSU and 2013 Florida State offense debates

Get Season Statistics by Team 

team_season_stats <- dplyr::bind_rows(
   cfbd_stats_season_team(year=2019, team = "LSU"),
   cfbd_stats_season_team(year=2013, team = "Florida State")
)
logos <- read.csv("https://raw.githubusercontent.com/sportsdataverse/cfbfastR-data/main/themes/logos.csv")
logos<- logos %>% dplyr::select(-"conference")
df_team_season <- team_season_stats %>%
   dplyr::left_join(logos, by=c("team"="school"))
df_team_season_long <- as.data.frame(t(as.matrix(df_team_season)))
colnames(df_team_season_long) <- df_team_season$team

Get Season Advanced Statistics by Team 

df_team_season_adv <- dplyr::bind_rows(
   cfbd_stats_season_advanced(2019, team = "LSU"),
   cfbd_stats_season_advanced(2013, team = "Florida State")
)
df_team_season_adv <- df_team_season_adv %>%
   dplyr::left_join(logos, by=c("team"="school"))

Get Game Advanced Stats 

df_team_game_adv <- dplyr::bind_rows(
   cfbd_stats_game_advanced(2019, team = "LSU"),
   cfbd_stats_game_advanced(2013, team = "Florida State")
)
df_team_game_adv <- df_team_game_adv %>%
   dplyr::left_join(logos, by=c("team"="school"))

Get Season Statistics by Player 

source("https://raw.githubusercontent.com/sportsdataverse/cfbfastR-data/main/themes/gt_theme_code_SG.R")
passing_df <- dplyr::bind_rows(
   cfbd_stats_season_player(2019, team = "LSU", category = "passing"),
   cfbd_stats_season_player(2013, team = "Florida State", category = "passing")) %>%
   dplyr::left_join(logos, by=c("team"="school")) %>%
   dplyr::group_by(team) %>%
   dplyr::select(logo,
                 player,
                 passing_completions,
                 passing_att,
                 passing_yds,
                 passing_td,
                 passing_int,
                 passing_ypa) %>%
   arrange( desc(passing_yds), team)
## Adding missing grouping variables: `team`
passing_df %>% gt() %>%
  tab_header(title = "Passing Summary") %>%
  cols_label(logo="",
             player = "Player",
             passing_completions = "C",
             passing_att = "Att",
             passing_yds = "Yds",
             passing_td = "TDs",
             passing_int = "INTs",
             passing_ypa = "YPA") %>%
  data_color(
    columns = c("passing_yds"),
    colors = scales::col_numeric(
      palette = "RdBu",
      domain = c(-6000,6000)
    )
  ) %>%
  data_color(
    columns = c("passing_td"),
    colors = scales::col_numeric(
      palette = "RdBu",
      domain = c(-60,60)
    )
  ) %>%
  data_color(
    columns = c("passing_td"),
    colors = scales::col_numeric(
      palette = "RdBu",
      domain = c(-60,60)
    )
  ) %>%
  text_transform(
    locations = cells_body(c("logo")),
    fn = function(logo){
      web_image(url= logo)
  }) %>%
  tab_source_note(source_note = md("**Table:** @SaiemGilani | **Data:** @CFB_Data with @cfbfastR v1.1.0")) %>%
  gt_theme_538(table.width = px(550))
## Warning: Since gt v0.9.0, the `colors` argument has been deprecated.
## • Please use the `fn` argument instead.
## This warning is displayed once every 8 hours.
Passing Summary
Player C Att Yds TDs INTs YPA
LSU
Joe Burrow 402 527 5671 60 6 10.8
Myles Brennan 24 40 353 1 1 8.8
Florida State
Jameis Winston 257 384 4057 40 10 10.6
Jake Coker 18 36 250 0 1 6.9
Sean Maguire 13 21 116 2 2 5.5
Table: @SaiemGilani | Data: @CFB_Data with @cfbfastR v1.1.0

College Football Mapping for Stats Categories 

## ── Stat categories for CollegeFootballData.com ─────────────── cfbfastR 2.0.0 ──
## ℹ Data updated: 2025-08-25 19:44:16 UTC
## # A tibble: 38 × 1
##    category          
##    <chr>             
##  1 completionAttempts
##  2 defensiveTDs      
##  3 extraPoints       
##  4 fieldGoalPct      
##  5 fieldGoals        
##  6 firstDowns        
##  7 fourthDownEff     
##  8 fumblesLost       
##  9 fumblesRecovered  
## 10 interceptions     
## # ℹ 28 more rows