Get Fantasy Premier League player's fixture-level statistics. — fpl_player_fixture

This function retrieves detailed fixture-level statistics for a specific player in the Fantasy Premier League (FPL). You can obtain per-game season statistics including total points, starts, minutes played, goals scored, assists, clean sheets, goals conceded, and more.

Usage

fpl_player_fixture_stats(player_id)

Arguments

player_id: The unique ID of the player in the FPL.

Value

A tibble (data frame) with the following columns:

gameweek: The gameweek number.
game_id: The unique ID of the fixture.
opponent: The opponent team's name.
total_points: Total FPL points earned in the gameweek.
starts: The number of starts in the gameweek.
minutes: The total number of minutes played in the gameweek.
goals_scored: The number of goals scored in the gameweek.
assists: The number of assists provided in the gameweek.
clean_sheets: The number of clean sheets in the gameweek.
goals_conceded: The number of goals conceded in the gameweek.
own_goals: The number of own goals scored in the gameweek.
penalties_saved: The number of penalties saved in the gameweek.
penalties_missed: The number of penalties missed in the gameweek.
yellow_cards: The number of yellow cards received in the gameweek.
red_cards: The number of red cards received in the gameweek.
saves: The number of saves made in the gameweek.
bonus: The bonus points earned in the gameweek.
bps: The Bonus Points System (BPS) score in the gameweek.
influence: The influence score in the gameweek.
creativity: The creativity score in the gameweek.
threat: The threat score in the gameweek.
ict_index: The ICT (Influence, Creativity, Threat) index score in the gameweek.
xg_scored: The expected goals scored in the gameweek.
xa: The expected assists in the gameweek.
xg_involvement: The expected goal involvements in the gameweek.
xg_conceded: The expected goals conceded in the gameweek.
price: The player's price for the gameweek.
selected: The number of FPL managers who have selected the player for their team.
transfers_in: The number of transfers in for the player in the gameweek.
transfers_out: The number of transfers out for the player in the gameweek.
transfers_balance: The net transfers balance for the player in the gameweek.

Examples

fpl_player_fixture_stats(player_id = 1)
#> Balogun's per game season statistics
#> # A tibble: 4 × 31
#>   gameweek game_id opponent total_points starts minutes goals_scored assists
#>      <int>   <int> <chr>           <int>  <int>   <int>        <int>   <int>
#> 1        1       2 NFO                 0      0       0            0       0
#> 2        2      12 CRY                 0      0       0            0       0
#> 3        3      21 FUL                 0      0       0            0       0
#> 4        4      31 MUN                 0      0       0            0       0
#> # ℹ 23 more variables: clean_sheets <int>, goals_conceded <int>,
#> #   own_goals <int>, penalties_saved <int>, penalties_missed <int>,
#> #   yellow_cards <int>, red_cards <int>, saves <int>, bonus <int>, bps <int>,
#> #   influence <chr>, creativity <chr>, threat <chr>, ict_index <chr>,
#> #   xg_scored <chr>, xa <chr>, xg_involvement <chr>, xg_conceded <chr>,
#> #   price <dbl>, selected <int>, transfers_in <int>, transfers_out <int>,
#> #   transfers_balance <int>