Get League Rosters — ff_rosters • ffscrapr

This function returns a tidy dataframe of team rosters

Usage

ff_rosters(conn, ...)

# S3 method for espn_conn
ff_rosters(conn, week = NULL, ...)

# S3 method for flea_conn
ff_rosters(conn, ..., week = NULL)

# S3 method for mfl_conn
ff_rosters(conn, custom_players = deprecated(), week = NULL, ...)

# S3 method for sleeper_conn
ff_rosters(conn, ...)

Arguments

conn: a conn object created by ff_connect()
...: arguments passed to other methods (currently none)
week: a numeric that specifies which week to return
custom_players: "" - now returns custom players by default

Value

A tidy dataframe of rosters, joined to basic player information and basic franchise information

Methods (by class)

ff_rosters(espn_conn): ESPN: Returns all roster data.
ff_rosters(flea_conn): Fleaflicker: Returns roster data (minus age as of right now)
ff_rosters(mfl_conn): MFL: returns roster data
ff_rosters(sleeper_conn): Sleeper: Returns all roster data.

Examples

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  conn <- espn_connect(season = 2020, league_id = 899513)
  ff_league(conn)
}) # end try
#> # A tibble: 1 × 16
#>   league_id league_name season league_type franchise_count qb_type idp  
#>   <chr>     <chr>        <int> <chr>                 <int> <chr>   <lgl>
#> 1 899513    Sucio Boys    2020 keeper                   10 2QB/SF  FALSE
#> # ℹ 9 more variables: scoring_flags <chr>, best_ball <lgl>, salary_cap <lgl>,
#> #   player_copies <dbl>, years_active <chr>, qb_count <chr>, roster_size <int>,
#> #   league_depth <dbl>, keeper_count <int>
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  joe_conn <- ff_connect(platform = "fleaflicker", league_id = 312861, season = 2020)

  ff_rosters(joe_conn)
}) # end try
#> # A tibble: 348 × 7
#>    franchise_id franchise_name player_id player_name   pos   team  sportradar_id
#>           <int> <chr>              <int> <chr>         <chr> <chr> <chr>        
#>  1      1578553 Running Bear       12159 Dak Prescott  QB    DAL   86197778-8d4…
#>  2      1578553 Running Bear       16259 Trey Lance    QB    DAL   676a508c-c65…
#>  3      1578553 Running Bear       14736 Devin Single… RB    HOU   a961b0d4-5d7…
#>  4      1578553 Running Bear       13772 Rashaad Penny RB    PHI   2b119688-83b…
#>  5      1578553 Running Bear       12017 Laquon Tread… WR    FA    2e0badcd-b78…
#>  6      1578553 Running Bear       15531 Brandon Aiyuk WR    SF    c90471cc-fa6…
#>  7      1578553 Running Bear       13788 Michael Gall… WR    DAL   9e174ff2-ca0…
#>  8      1578553 Running Bear       15564 Van Jefferson WR    ATL   8e1285f7-6e4…
#>  9      1578553 Running Bear       16250 Ja'Marr Chase WR    CIN   fa99e984-d63…
#> 10      1578553 Running Bear       12972 Gerald Evere… TE    LAC   ebeceb00-57e…
#> # ℹ 338 more rows
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
  ff_rosters(ssb_conn)
}) # end try
#> # A tibble: 417 × 11
#>    franchise_id franchise_name player_id player_name           pos   team    age
#>    <chr>        <chr>          <chr>     <chr>                 <chr> <chr> <dbl>
#>  1 0001         Team Pikachu   13189     Engram, Evan          TE    NYG    29.5
#>  2 0001         Team Pikachu   11680     Landry, Jarvis        WR    CLE    31.3
#>  3 0001         Team Pikachu   13645     Smith, Tre'Quan       WR    NOS    28.2
#>  4 0001         Team Pikachu   12110     Brate, Cameron        TE    TBB    32.7
#>  5 0001         Team Pikachu   13168     Reynolds, Josh        WR    LAR    29.1
#>  6 0001         Team Pikachu   13793     Valdes-Scantling, Ma… WR    GBP    29.4
#>  7 0001         Team Pikachu   13377     Patrick, Tim          WR    DEN    30.3
#>  8 0001         Team Pikachu   13254     Shaheen, Adam         TE    MIA    30.2
#>  9 0001         Team Pikachu   14803     Edwards-Helaire, Cly… RB    KCC    24.9
#> 10 0001         Team Pikachu   14838     Shenault, Laviska     WR    JAC    25.4
#> # ℹ 407 more rows
#> # ℹ 4 more variables: roster_status <chr>, drafted <chr>, draft_year <int>,
#> #   draft_round <chr>
# }

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
  ff_rosters(jml_conn)
}) # end try
#> # A tibble: 350 × 7
#>    franchise_id franchise_name player_id player_name     pos   team    age
#>    <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
#>  1 1            Fake News      1110      T.Y. Hilton     WR    NA     34.3
#>  2 1            Fake News      1339      Zach Ertz       TE    WAS    33.3
#>  3 1            Fake News      1426      DeAndre Hopkins WR    TEN    31.8
#>  4 1            Fake News      1825      Jarvis Landry   WR    NA     31.3
#>  5 1            Fake News      2025      Albert Wilson   WR    NA     31.7
#>  6 1            Fake News      2197      Brandin Cooks   WR    DAL    30.5
#>  7 1            Fake News      2319      DeVante Parker  WR    NE     31.1
#>  8 1            Fake News      232       Frank Gore      RB    NA     40.8
#>  9 1            Fake News      2822      Adam Humphries  WR    NA     30.7
#> 10 1            Fake News      289       Drew Brees      QB    NA     45.1
#> # ℹ 340 more rows
# }