Get ESPN Women's College Basketball League Leaders
Get ESPN Women's College Basketball League Leaders
Usage
espn_wbb_leaders(season = most_recent_wbb_season(), season_type = 2, ...)Arguments
- season
Season year (numeric, e.g. 2025). Defaults to the most recent WBB season.
- season_type
Integer season type: 1 = preseason, 2 = regular (default), 3 = postseason.
- ...
Additional arguments; currently unused but retained for forward compatibility. Proxy configuration should use
options(wehoop.proxy = ...)– see?wehoopfor details.
Value
A single wehoop_data tibble with one row per category-athlete
pair.
| col_name | types |
| season | integer |
| season_type | integer |
| category | character |
| abbreviation | character |
| athlete_id | character |
| athlete_name | character |
| team_id | character |
| team_abbrev | character |
| value | numeric |
| rank | integer |
| display_value | character |
See also
Other ESPN WBB Functions:
espn_wbb_athlete_awards(),
espn_wbb_athlete_eventlog(),
espn_wbb_athlete_gamelog(),
espn_wbb_athlete_info(),
espn_wbb_athlete_overview(),
espn_wbb_athlete_splits(),
espn_wbb_athlete_statisticslog(),
espn_wbb_athlete_stats(),
espn_wbb_athletes_index(),
espn_wbb_calendar(),
espn_wbb_coaches(),
espn_wbb_conferences(),
espn_wbb_event_broadcasts(),
espn_wbb_event_odds(),
espn_wbb_event_officials(),
espn_wbb_event_probabilities(),
espn_wbb_game_all(),
espn_wbb_game_rosters(),
espn_wbb_injuries(),
espn_wbb_news(),
espn_wbb_pbp(),
espn_wbb_player_box(),
espn_wbb_player_stats(),
espn_wbb_rankings(),
espn_wbb_scoreboard(),
espn_wbb_season_info(),
espn_wbb_seasons(),
espn_wbb_standings(),
espn_wbb_team(),
espn_wbb_team_box(),
espn_wbb_team_injuries(),
espn_wbb_team_leaders(),
espn_wbb_team_news(),
espn_wbb_team_roster(),
espn_wbb_team_schedule(),
espn_wbb_team_stats(),
espn_wbb_teams(),
espn_wbb_venues()
Examples
# \donttest{
espn_wbb_leaders(season = 2025, season_type = 2)
#> ── ESPN WOMENS-COLLEGE-BASKETBALL Leaders from ESPN.com ──────── wehoop 3.0.0 ──
#> ℹ Data updated: 2026-05-06 04:51:12 UTC
#> # A tibble: 350 × 11
#> season season_type category abbreviation athlete_id athlete_name team_id
#> <int> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 2025 2 pointsPerGame PTS 5247335 NA 2179
#> 2 2025 2 pointsPerGame PTS 4903679 NA 3141
#> 3 2025 2 pointsPerGame PTS 5180981 NA 112702
#> 4 2025 2 pointsPerGame PTS 5254897 NA 2225
#> 5 2025 2 pointsPerGame PTS 5188152 NA 2036
#> 6 2025 2 pointsPerGame PTS 5247503 NA 507
#> 7 2025 2 pointsPerGame PTS 5247764 NA 2202
#> 8 2025 2 pointsPerGame PTS 5184789 NA 2161
#> 9 2025 2 pointsPerGame PTS 5114898 NA 2008
#> 10 2025 2 pointsPerGame PTS 5117248 NA 2339
#> # ℹ 340 more rows
#> # ℹ 4 more variables: team_abbrev <chr>, value <dbl>, rank <int>,
#> # display_value <chr>
# }