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Returns week level rosters (rather than latest for a given season as returned by load_rosters())

Usage

load_rosters_weekly(
  seasons = most_recent_season(roster = TRUE),
  file_type = getOption("nflreadr.prefer", default = "rds")
)

Arguments

seasons

a 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 2002.

file_type

One of c("rds", "qs", "csv", "parquet"). Can also be set globally with options(nflreadr.prefer)

Value

A tibble of weekly roster data.

See also

Issues with this data should be filed here: https://github.com/nflverse/nflverse-data

Examples

.for_cran()
# \donttest{
try({ # prevents cran errors
  load_rosters_weekly(2020)
})
#> ── nflverse weekly roster data ─────────────────────────────────────────────────
#>  Data updated: 2023-09-13 01:04:04 UTC
#> # A tibble: 44,130 × 36
#>    season team  position depth_chart_position jersey_number status full_name    
#>     <int> <chr> <chr>    <chr>                        <int> <chr>  <chr>        
#>  1   2020 IND   K        K                                4 UFA    Adam Vinatie…
#>  2   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  3   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  4   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  5   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  6   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  7   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  8   2020 TB    QB       QB                              12 ACT    Tom Brady    
#>  9   2020 TB    QB       QB                              12 ACT    Tom Brady    
#> 10   2020 TB    QB       QB                              12 ACT    Tom Brady    
#> # ℹ 44,120 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>, …
# }