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This function retrieves all players' headline statistics from the Fantasy Premier League API and processes the data into a tibble with relevant player information and statistics.

Usage

fpl_player_stats()

Value

A tibble containing player statistics with the following columns:

player_season_id

Player ID for the current season.

player_name

Name of the player.

selected_pct

Percentage of FPL managers who have selected the player.

selected_rank

Rank of the player based on selected percentage.

selected_rank_type

Type of rank for selected percentage.

current_price

Current price of the player in FPL.

now_cost_rank

Rank of the player based on current price.

now_cost_rank_type

Type of rank for current price.

...

(additional columns with various player statistics).

Examples

fpl_player_stats()
#> # A tibble: 714 × 53
#>    player_season_id player_name  selected_pct selected_rank selected_rank_type
#>               <int> <chr>               <dbl>         <int>              <int>
#>  1                1 Balogun             0.004           245                 41
#>  2                2 Cédric              0.004           255                100
#>  3                3 M.Elneny            0.001           451                148
#>  4                4 Fábio Vieira        0.001           377                119
#>  5                5 Gabriel             0.141            28                  8
#>  6                6 Havertz             0.021           119                 35
#>  7                8 G.Jesus             0.027           105                 19
#>  8                9 Jorginho            0.002           329                100
#>  9               10 Kiwior              0.001           424                165
#> 10               11 Marquinhos          0.001           470                160
#> # ℹ 704 more rows
#> # ℹ 48 more variables: current_price <dbl>, now_cost_rank <int>,
#> #   now_cost_rank_type <int>, cost_change_start <dbl>,
#> #   cost_change_start_fall <dbl>, cost_change_event <dbl>,
#> #   cost_change_event_fall <dbl>, total_transfers_in <int>,
#> #   gw_transfers_in <int>, transfers_out <int>, transfers_out_event <int>,
#> #   minutes <int>, starts <int>, starts_per_90 <dbl>, total_points <int>, …