Get League Transactions

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 flea_conn
ff_transactions(conn, franchise_id = NULL, ...)

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

# 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
franchise_id	fleaflicker returns transactions grouped by franchise id, pass a list here to filter
custom_players	TRUE or FALSE - fetch custom players
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)

• 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

# \donttest{
conn <- fleaflicker_connect(season = 2020, league_id = 312861)
ff_transactions(conn)
#> # A tibble: 104 x 12
#>    timestamp           type  type_desc franchise_id franchise_name player_id
#>    <dttm>              <chr> <chr>            <int> <chr>          <glue>   
#>  1 2020-12-23 11:00:00 free… dropped        1581721 Mjenkyns2004'… 15977    
#>  2 2020-12-23 11:00:00 waiv… added          1581721 Mjenkyns2004'… 15937    
#>  3 2020-12-20 11:00:00 free… dropped        1581721 Mjenkyns2004'… 6610     
#>  4 2020-12-20 11:00:00 waiv… added          1581721 Mjenkyns2004'… 13027    
#>  5 2020-12-16 11:00:00 free… dropped        1581718 Officially Re… 13095    
#>  6 2020-12-16 11:00:00 waiv… added          1581718 Officially Re… 13898    
#>  7 2020-12-16 11:00:00 free… dropped        1581722 syd12nyjets's… 12151    
#>  8 2020-12-16 11:00:00 waiv… added          1581722 syd12nyjets's… 13844    
#>  9 2020-12-11 11:00:00 free… dropped        1581718 Officially Re… 13816    
#> 10 2020-12-11 11:00:00 waiv… added          1581718 Officially Re… 12232    
#> # … with 94 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 Spid… 13868    
#>  2 2019-12-19 11:56:49 FREE… dropped   0003         Electric Spid… 13387    
#>  3 2019-12-19 03:03:13 FREE… added     0019         Advance Repti… 12857    
#>  4 2019-12-19 03:03:13 FREE… dropped   0019         Advance Repti… 11186    
#>  5 2019-12-19 03:02:26 FREE… added     0019         Advance Repti… 13868    
#>  6 2019-12-19 03:02:26 FREE… dropped   0019         Advance Repti… 14305    
#>  7 2019-12-15 17:28:15 FREE… added     0003         Electric Spid… 12197    
#>  8 2019-12-15 17:27:28 FREE… dropped   0003         Electric Spid… 12623    
#>  9 2019-12-15 17:27:00 FREE… added     0003         Electric Spid… 13387    
#> 10 2019-12-15 17:26:27 IR    deactiva… 0003         Electric Spid… 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)
# }