Load Rosters
Arguments
- ...
Arguments passed on to
nflreadr::load_rostersseasonsa numeric vector of seasons to return, defaults to returning this year's data if it is March or later. If set to
TRUE, will return all available data. Data available back to 1920.file_typeOne of
c("rds", "qs", "csv", "parquet"). Can also be set globally withoptions(nflreadr.prefer)
Details
See nflreadr::load_rosters for details.
See also
For information on parallel processing and progress updates please see nflfastR.
Examples
# \donttest{
# Roster of the 2019 and 2020 seasons
try({# to avoid CRAN test problems
fast_scraper_roster(2019:2020)
})
#> ── nflverse roster data ────────────────────────────────────────────────────────
#> ℹ Data updated: 2023-09-13 01:04:45 UTC
#> # A tibble: 6,182 × 36
#> season team position depth_chart_position jersey_number status full_name
#> <int> <chr> <chr> <chr> <int> <chr> <chr>
#> 1 2019 IND K K 4 RES Adam Vinatie…
#> 2 2019 NE QB QB 12 ACT Tom Brady
#> 3 2019 NO QB QB 9 ACT Drew Brees
#> 4 2019 ATL K K 3 CUT Matt Bryant
#> 5 2019 PHI QB QB 18 ACT Josh McCown
#> 6 2019 DAL TE TE 82 ACT Jason Witten
#> 7 2019 KC LB OLB 94 ACT Terrell Suggs
#> 8 2019 HOU DB FS 27 ACT Mike Adams
#> 9 2019 DET LS LS 48 ACT Don Muhlbach
#> 10 2019 PHI OL OT 71 ACT Jason Peters
#> # ℹ 6,172 more rows
#> # ℹ 29 more variables: first_name <chr>, last_name <chr>, birth_date <date>,
#> # height <dbl>, weight <int>, college <chr>, gsis_id <chr>, espn_id <chr>,
#> # sportradar_id <chr>, yahoo_id <chr>, rotowire_id <chr>, pff_id <chr>,
#> # pfr_id <chr>, fantasy_data_id <chr>, sleeper_id <chr>, years_exp <int>,
#> # headshot_url <chr>, ngs_position <chr>, week <int>, game_type <chr>,
#> # status_description_abbr <chr>, football_name <chr>, esb_id <chr>, …
# }