Load wehoop WNBA Stats metric curves

Loads metric-by-continuous-axis curves built from the WNBA Stats API shots: for the league, each team and each player, attempts, makes and rate in one-foot shot-distance buckets (metric = "fg_pct_by_shot_distance", bucket [x_lo, x_hi)). Built with sportsdataverse-py's metric_curves() and published to the wnba_stats_metric_curves release tag.

Usage

load_wnba_stats_metric_curves(
  seasons = most_recent_wnba_stats_season(),
  ...,
  dbConnection = NULL,
  tablename = NULL
)

Source

https://github.com/sportsdataverse/sportsdataverse-data/releases/tag/wnba_stats_metric_curves

Arguments

seasons

A vector of 4-digit years associated with given WNBA seasons. Published coverage runs 1997 through the most recent season, with no gaps. Pass seasons = TRUE for every published season. (Min: 1997)

...

Additional arguments passed to an underlying function that writes the season data into a database.

dbConnection

A DBIConnection object, as returned by DBI::dbConnect()

tablename

The name of the metric curves data table within the database

Value

Returns a wehoop_data tibble with one row per entity, metric and bucket.

col_name	types	description
season	integer	Season identifier (4-digit year).
entity_type	character	Grain of the row: league, team or player.
entity_id	character	WNBA Stats team or player id (NA for league rows).
entity_name	character	Team or player name (NA for league rows).
team_id	character	WNBA Stats team id of a player row.
id_source	character	Id namespace of entity_id / team_id (wnba_stats).
metric	character	Curve name (fg_pct_by_shot_distance).
down	integer	Football-only down split; always NA here.
x_lo	numeric	Lower bound of the bucket (feet, inclusive).
x_hi	numeric	Upper bound of the bucket (feet, exclusive).
attempts	integer	Field goal attempts in the bucket.
successes	integer	Field goals made in the bucket.
rate	numeric	successes / attempts.
epa_per_att	numeric	Football-only EPA per attempt; always NA here.

See also

Other WNBA Stats loader functions: load_wnba_stats_game_lineups(), load_wnba_stats_leaguedash(), load_wnba_stats_player_boxscores(), load_wnba_stats_rolling_windows(), load_wnba_stats_rosters()

Examples

# \donttest{
  try(load_wnba_stats_metric_curves(seasons = most_recent_wnba_stats_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.1.0 ──
#> # A tibble: 5,598 × 14
#>    season entity_type entity_id entity_name team_id id_source metric  down  x_lo
#>     <int> <chr>       <chr>     <chr>       <chr>   <chr>     <chr>  <int> <dbl>
#>  1   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     0
#>  2   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     1
#>  3   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     2
#>  4   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     3
#>  5   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     4
#>  6   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     5
#>  7   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     6
#>  8   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     7
#>  9   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     8
#> 10   2026 league      NA        NA          NA      wnba_sta… fg_pc…    NA     9
#> # ℹ 5,588 more rows
#> # ℹ 5 more variables: x_hi <dbl>, attempts <int>, successes <int>, rate <dbl>,
#> #   epa_per_att <dbl>
# }