This function returns a tidy dataframe of transactions - generally one row per player per transaction per team. Each trade is represented twice, once per each team.

ff_transactions(conn, ...)

# S3 method for espn_conn
ff_transactions(conn, limit = 1000, ...)

# S3 method for flea_conn
ff_transactions(conn, franchise_id = NULL, ...)

# S3 method for mfl_conn
ff_transactions(conn, custom_players = deprecated(), ...)

# S3 method for sleeper_conn
ff_transactions(conn, week = 1:17, ...)

Arguments

conn

the list object created by ff_connect()

...

additional args for other methods

limit

number of most recent transactions to return

franchise_id

fleaflicker returns transactions grouped by franchise id, pass a list here to filter

custom_players

`r lifecycle::badge("deprecated")` - now returns custom players by default

week

A week filter for transactions - 1 returns all offseason transactions. Default 1:17 returns all transactions.

Value

A tidy dataframe of transaction data

Methods (by class)

  • espn_conn: ESPN: returns adds, drops, and trades. Requires private/auth-cookie.

  • flea_conn: Fleaflicker: returns all transactions, including free agents, waivers, and trades.

  • mfl_conn: MFL: returns all transactions, including auction, free agents, IR, TS, waivers, and trades.

  • sleeper_conn: Sleeper: returns all transactions, including free agents, waivers, and trades.

Examples

if (FALSE) { # Marked as don't run because this endpoint requires private authentication conn <- espn_connect( season = 2020, league_id = 1178049, swid = Sys.getenv("TAN_SWID"), espn_s2 = Sys.getenv("TAN_ESPN_S2") ) ff_transactions(conn) } # \donttest{ conn <- fleaflicker_connect(season = 2020, league_id = 312861) ff_transactions(conn)
#> # A tibble: 230 x 12 #> timestamp type type_desc franchise_id franchise_name player_id #> <dttm> <chr> <chr> <int> <chr> <glue> #> 1 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 15730 #> 2 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 13168 #> 3 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 15639 #> 4 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 15636 #> 5 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 7444 #> 6 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 13040 #> 7 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 1732 #> 8 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 12951 #> 9 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 9305 #> 10 2021-03-28 14:34:08 free_ag… dropped 1581726 SCJaguars's Te… 9287 #> # … with 220 more rows, and 6 more variables: player_name <glue>, pos <chr>, #> # team <chr>, trade_partner_id <int>, trade_partner_name <chr>, #> # trade_id <int>
# } # \donttest{ dlf_conn <- mfl_connect(2019, league_id = 37920) ff_transactions(dlf_conn)
#> # A tibble: 1,146 x 12 #> timestamp type type_desc franchise_id franchise_name player_id #> <dttm> <chr> <chr> <chr> <chr> <chr> #> 1 2019-12-19 11:56:49 FREE_… added 0003 Electric Spiders 13868 #> 2 2019-12-19 11:56:49 FREE_… dropped 0003 Electric Spiders 13387 #> 3 2019-12-19 03:03:13 FREE_… added 0019 Advance Reptilia… 12857 #> 4 2019-12-19 03:03:13 FREE_… dropped 0019 Advance Reptilia… 11186 #> 5 2019-12-19 03:02:26 FREE_… added 0019 Advance Reptilia… 13868 #> 6 2019-12-19 03:02:26 FREE_… dropped 0019 Advance Reptilia… 14305 #> 7 2019-12-15 17:28:15 FREE_… added 0003 Electric Spiders 12197 #> 8 2019-12-15 17:27:28 FREE_… dropped 0003 Electric Spiders 12623 #> 9 2019-12-15 17:27:00 FREE_… added 0003 Electric Spiders 13387 #> 10 2019-12-15 17:26:27 IR deactiva… 0003 Electric Spiders 14138 #> # … with 1,136 more rows, and 6 more variables: player_name <chr>, pos <chr>, #> # team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
# } # \donttest{ jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020) x <- ff_transactions(jml_conn, week = 1:17) # }