A cached table of Sleeper NFL players. Will store in memory for each session! (via memoise in zzz.R)

sleeper_players()

Value

a dataframe containing all ~7000+ players in the Sleeper database

Examples

# \donttest{ try({ # try only shown here because sometimes CRAN checks are weird x <- sleeper_players() dplyr::sample_n(x, 5) }) # end try
#> # A tibble: 5 × 34 #> player_id player_name pos age team status years_exp sportradar_id espn_id #> <chr> <chr> <chr> <dbl> <chr> <chr> <int> <chr> <int> #> 1 542 Dorin Dick… TE 33.4 NA Inact… 4 eae0d42b-d33… 13353 #> 2 4739 Jack Lynn OLB 28.1 NA Inact… 2 3f04b229-d38… 2970711 #> 3 2447 Mykkele Th… FS 28.4 NA Inact… 4 5135d596-bec… 2577581 #> 4 7847 Gunnar Vog… OT 23.1 CIN Active 0 8f107315-e78… NA #> 5 6411 Kyle Vasey LS 25.4 NA Inact… 1 7d8a8d31-862… 3144792 #> # … with 25 more variables: fantasy_data_id <int>, yahoo_id <int>, #> # rotowire_id <int>, gsis_id <chr>, rotoworld_id <int>, swish_id <int>, #> # stats_id <int>, number <int>, hashtag <chr>, college <chr>, weight <chr>, #> # birth_date <date>, sport <chr>, height <chr>, fantasy_positions <chr>, #> # active <lgl>, injury_status <chr>, news_updated <dbl>, #> # depth_chart_position <chr>, depth_chart_order <int>, high_school <chr>, #> # injury_notes <chr>, injury_body_part <chr>, practice_participation <chr>, …
# }