R/0_generics.R, R/espn_starters.R, R/flea_starters.R, and 2 more
ff_starters.RdThis function returns a tidy dataframe with one row for every starter (and bench) for every week and their scoring, if available.
ff_starters(conn, ...) # S3 method for espn_conn ff_starters(conn, weeks = 1:17, ...) # S3 method for flea_conn ff_starters(conn, week = 1:17, ...) # S3 method for mfl_conn ff_starters(conn, week = 1:17, season = NULL, ...) # S3 method for sleeper_conn ff_starters(conn, week = 1:17, ...)
| conn | the list object created by |
|---|---|
| ... | other arguments (currently unused) |
| weeks | which weeks to calculate, a number or numeric vector |
| week | a numeric or one of YTD (year-to-date) or AVG (average to date) |
| season | the season of interest - generally only the most recent 2-3 seasons are available |
A tidy dataframe with every player for every week, including a flag for whether they were started or not
espn_conn: ESPN: returns who was started as well as what they scored.
flea_conn: Fleaflicker: returns who was started as well as what they scored.
mfl_conn: MFL: returns the player fantasy scores for each week (not the actual stats)
sleeper_conn: Sleeper: returns only "who" was started, without any scoring/stats data. Only returns season specified in initial connection object.
# \donttest{ conn <- espn_connect(season = 2020, league_id = 1178049) ff_starters(conn, weeks = 1:3)#> # A tibble: 714 x 11 #> week franchise_id franchise_name franchise_score lineup_slot player_score #> <int> <int> <chr> <dbl> <chr> <dbl> #> 1 1 1 Rushin' Collusion 118 QB 27.5 #> 2 1 1 Rushin' Collusion 118 RB 9.2 #> 3 1 1 Rushin' Collusion 118 RB 6.7 #> 4 1 1 Rushin' Collusion 118 WR 13.1 #> 5 1 1 Rushin' Collusion 118 WR 8.6 #> 6 1 1 Rushin' Collusion 118 WR 12.6 #> 7 1 1 Rushin' Collusion 118 TE 16.6 #> 8 1 1 Rushin' Collusion 118 DST 0 #> 9 1 1 Rushin' Collusion 118 K 9 #> 10 1 1 Rushin' Collusion 118 BE 4.8 #> # … with 704 more rows, and 5 more variables: player_id <int>, #> # player_name <chr>, pos <chr>, team <chr>, eligible_lineup_slots <list># } # \donttest{ conn <- fleaflicker_connect(season = 2020, league_id = 206154) ff_starters(conn) # } # \donttest{ dlf_conn <- mfl_connect(2020, league_id = 37920) ff_starters(conn = dlf_conn)#> # A tibble: 6,371 x 11 #> franchise_id franchise_name season week starter_status should_start #> <chr> <chr> <dbl> <int> <chr> <dbl> #> 1 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 2 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 3 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 4 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 5 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 6 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 7 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 8 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 9 0013 Advance Reptilian Sola… 2020 1 starter 1 #> 10 0013 Advance Reptilian Sola… 2020 1 nonstarter 0 #> # … with 6,361 more rows, and 5 more variables: player_score <dbl>, #> # player_id <chr>, player_name <chr>, pos <chr>, team <chr># } # \donttest{ jml_conn <- sleeper_connect(league_id = "522458773317046272", season = 2020) jml_starters <- ff_starters(jml_conn) # }