Loads cached player-crosswalk snapshots that map ESPN athlete
identifiers to WNBA Stats API player identifiers. One row per
athlete-season. Backed by the wnba_crosswalk release tag in
sportsdataverse-data.
Usage
load_wnba_player_crosswalk(seasons = most_recent_wnba_season())See also
Other WNBA Crosswalk Functions:
load_wnba_schedule_crosswalk(),
load_wnba_team_crosswalk(),
wnba_player_crosswalk(),
wnba_schedule_crosswalk(),
wnba_team_crosswalk()
Examples
# \donttest{
try(load_wnba_player_crosswalk(seasons = most_recent_wnba_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 203 × 21
#> season espn_team_id team_abbreviation player_name espn_athlete_id
#> <int> <int> <chr> <chr> <chr>
#> 1 2026 20 ATL isobel borlase 5208983
#> 2 2026 20 ATL jordin canada 3142250
#> 3 2026 20 ATL allisha gray 3058901
#> 4 2026 20 ATL naz hillmon 4398915
#> 5 2026 20 ATL rhyne howard 4398674
#> 6 2026 20 ATL brionna jones 3058895
#> 7 2026 20 ATL sika kone 5017721
#> 8 2026 20 ATL indya nivar 5105740
#> 9 2026 20 ATL aaliyah nye 4597509
#> 10 2026 20 ATL amy okonkwo 3142242
#> # ℹ 193 more rows
#> # ℹ 16 more variables: espn_full_name <chr>, espn_jersey <chr>,
#> # espn_position <chr>, wnba_player_id <chr>, wnba_player_name <chr>,
#> # wnba_jersey_num <chr>, wnba_position <chr>, fox_athlete_id <chr>,
#> # fox_player <chr>, fox_jersey <chr>, fox_position_group <chr>,
#> # yahoo_player_id <chr>, yahoo_player_name <chr>, match_method <chr>,
#> # match_confidence <dbl>, match_keys <chr>
# }
