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This function retrieves information about FPL teams, such as team IDs, names, abbreviations, performance, and strength indicators using the Fantasy Premier League API.

Usage

fpl_team_info()

Value

A tibble (data frame) with the following columns:

team_fpl_code

The FPL code of the team.

team_name

The name of the team.

team_abb

The abbreviation of the team.

season_id

The ID of the season.

form

The team's recent form.

played

The number of matches played.

win

The number of matches won.

draw

The number of matches drawn.

loss

The number of matches lost.

points

The total number of points earned.

league_position

The team's current league position.

strength

The team's overall strength.

strength_overall_home

The team's home strength overall.

strength_defence_home

The team's home defensive strength.

strength_attack_home

The team's home attacking strength.

strength_overall_away

The team's away strength overall.

strength_defence_away

The team's away defensive strength.

strength_attack_away

The team's away attacking strength.

Examples

fpl_team_info()
#> # A tibble: 20 × 18
#>    team_fpl_code team_name     team_abb season_id form  played   win  draw  loss
#>            <int> <chr>         <chr>        <int> <lgl>  <int> <int> <int> <int>
#>  1             3 Arsenal       ARS              1 NA         0     0     0     0
#>  2             7 Aston Villa   AVL              2 NA         0     0     0     0
#>  3            91 Bournemouth   BOU              3 NA         0     0     0     0
#>  4            94 Brentford     BRE              4 NA         0     0     0     0
#>  5            36 Brighton      BHA              5 NA         0     0     0     0
#>  6            90 Burnley       BUR              6 NA         0     0     0     0
#>  7             8 Chelsea       CHE              7 NA         0     0     0     0
#>  8            31 Crystal Pala… CRY              8 NA         0     0     0     0
#>  9            11 Everton       EVE              9 NA         0     0     0     0
#> 10            54 Fulham        FUL             10 NA         0     0     0     0
#> 11            14 Liverpool     LIV             11 NA         0     0     0     0
#> 12           102 Luton         LUT             12 NA         0     0     0     0
#> 13            43 Man City      MCI             13 NA         0     0     0     0
#> 14             1 Man Utd       MUN             14 NA         0     0     0     0
#> 15             4 Newcastle     NEW             15 NA         0     0     0     0
#> 16            17 Nott'm Forest NFO             16 NA         0     0     0     0
#> 17            49 Sheffield Utd SHU             17 NA         0     0     0     0
#> 18             6 Spurs         TOT             18 NA         0     0     0     0
#> 19            21 West Ham      WHU             19 NA         0     0     0     0
#> 20            39 Wolves        WOL             20 NA         0     0     0     0
#> # ℹ 9 more variables: points <int>, league_position <int>, strength <int>,
#> #   strength_overall_home <int>, strength_defence_home <int>,
#> #   strength_attack_home <int>, strength_overall_away <int>,
#> #   strength_defence_away <int>, strength_attack_away <int>