PHF Player Leaderboards
Usage
phf_leaders(
player_type,
season = most_recent_phf_season(),
season_type = "Regular Season"
)Arguments
- player_type
Player type: skaters, goalies
- season
Season (YYYY) to pull the team stats from, the concluding year in XXXX-YY format
- season_type
Season type: Regular Season or Playoffs
Examples
# \donttest{
try(phf_leaders(player_type = "skaters", season = 2022, season_type="Regular Season"))
#> ── PHF Leaderboard Information from PremierHockeyFederation.com ────────────────
#> ℹ Data updated: 2023-03-08 07:48:13 UTC
#> # A tibble: 100 × 29
#> player…¹ playe…² team_…³ posit…⁴ games…⁵ goals assists points shots…⁶ faceo…⁷
#> <int> <chr> <chr> <chr> <int> <int> <int> <int> <int> <chr>
#> 1 22 Kenned… Connec… F 20 13 20 33 85 151 - …
#> 2 13 Mikyla… Toront… F 19 13 17 30 96 164 - …
#> 3 3 Jonna … Minnes… F 20 9 15 24 80 34 - 49
#> 4 17 Taylor… Connec… F 20 11 13 24 83 1 - 2
#> 5 14 Madiso… Metrop… F 20 12 11 23 80 1 - 5
#> 6 9 Allie … Minnes… F 20 18 3 21 93 5 - 4
#> 7 88 Amanda… Connec… F 18 12 9 21 52 1 - 1
#> 8 27 Shiann… Toront… F 20 8 12 20 88 217 - …
#> 9 67 Emma W… Toront… F 20 9 9 18 55 9 - 10
#> 10 18 Rebecc… Metrop… F 20 9 8 17 72 1 - 0
#> # … with 90 more rows, 19 more variables: faceoffs_won <int>,
#> # faceoffs_lost <int>, blocks <int>, penalty_minutes <int>, takeaways <int>,
#> # giveaways <int>, scoring_pct <dbl>, powerplay_goals <int>,
#> # shorthanded_goals <int>, game_winning_goals <int>,
#> # points_per_game_average <dbl>, faceoffs_win_pct <dbl>, shots_blocked <int>,
#> # shots <int>, season_type <chr>, player_href <chr>, team_href <chr>,
#> # player_id <int>, team_id <int>, and abbreviated variable names …
try(phf_leaders(player_type = "goalies", season = 2022, season_type="Regular Season"))
#> ── PHF Leaderboard Information from PremierHockeyFederation.com ────────────────
#> ℹ Data updated: 2023-03-08 07:48:14 UTC
#> # A tibble: 7 × 24
#> player_je…¹ playe…² team_…³ games…⁴ wins losses ties overt…⁵ minut…⁶ shots…⁷
#> <int> <chr> <chr> <int> <int> <int> <int> <int> <chr> <int>
#> 1 88 Katie … Boston… 12 7 2 0 2 679:35 377
#> 2 29 Elaine… Toront… 17 16 1 0 0 988:45 434
#> 3 29 Amanda… Minnes… 11 4 6 0 1 630:11 395
#> 4 35 Abbie … Connec… 15 10 3 0 2 885:23 340
#> 5 1 Brooke… Metrop… 14 4 9 0 0 789:08 457
#> 6 70 Carly … Buffal… 18 6 11 0 0 936:34 521
#> 7 29 Sonjia… Metrop… 7 3 3 0 1 410:53 230
#> # … with 14 more variables: goals_against <int>, save_percent <dbl>,
#> # goals_against_average <dbl>, shutouts <int>, saves <int>,
#> # penalty_minutes <int>, goals <int>, assists <int>, GS <int>,
#> # season_type <chr>, player_href <chr>, team_href <chr>, player_id <int>,
#> # team_id <int>, and abbreviated variable names ¹player_jersey, ²player_name,
#> # ³team_name, ⁴games_played, ⁵overtime_losses, ⁶minutes_played,
#> # ⁷shots_against
# }