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

Usage

mfl_players(conn = NULL)

Arguments

conn

optionally, pass in a conn object generated by ff_connect to receive league-specific custom players

Value

a dataframe containing all ~2000+ players in the MFL database

Examples

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  player_list <- mfl_players()
  dplyr::sample_n(player_list, 5)
}) # end try
#> # A tibble: 5 × 25
#>   player_id player_name pos     age team  status draft…¹ draft…² draft…³ draft…⁴
#>   <chr>     <chr>       <chr> <dbl> <chr> <chr>  <chr>   <chr>   <chr>   <chr>  
#> 1 13613     Samuels, J… RB     26.6 FA    NA     2018    PIT     5       28     
#> 2 16006     Fatukasi, … LB     23.7 NEP   R      2022    FA      NA      NA     
#> 3 13396     Daniels, D… TE     28.2 FA    NA     2016    FA      NA      NA     
#> 4 15379     Tryon, Joe  LB     23.8 TBB   NA     2021    TBB     1       32     
#> 5 0358      Titans, Te… TMDB   NA   TEN   NA     1970    TEN     NA      NA     
#> # … with 15 more variables: stats_global_id <chr>, stats_id <chr>,
#> #   fleaflicker_id <chr>, cbs_id <chr>, sportsdata_id <chr>,
#> #   rotoworld_id <chr>, rotowire_id <chr>, espn_id <chr>, nfl_id <chr>,
#> #   twitter_username <chr>, college <chr>, height <chr>, weight <chr>,
#> #   birthdate <date>, jersey <chr>, and abbreviated variable names ¹​draft_year,
#> #   ²​draft_team, ³​draft_round, ⁴​draft_pick
# }