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Load wehoop WNBA Stats Player Game Logs

Source: R/load_wnba_stats.R
load_wnba_stats_player_game_logs.Rd

Loads per-player per-game logs scraped from stats.wnba.com/leaguegamelog?PlayerOrTeam=P (one row per athlete-game pair: minutes, shooting splits, rebounds, steals, blocks, turnovers, personal fouls, plus/minus). Backed by the wehoop-wnba-stats-data pipeline that publishes parquet/rds artifacts to the wnba_stats_player_game_logs release tag.

load_wnba_stats_player_game_logs_manifest() returns the per-season manifest CSV (season, row_count, generated_at_utc, source_endpoint) for the WNBA Stats player game logs release tag without downloading any season's full data.

Usage

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

load_wnba_stats_player_game_logs_manifest()

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 player game logs table within the database

Value

Returns a wehoop_data tibble of per-athlete per-game log rows.

See also

Other WNBA Stats loader functions: load_wnba_stats_coaches(), load_wnba_stats_draft(), load_wnba_stats_game_rosters(), load_wnba_stats_leaguedash(), load_wnba_stats_lineups(), load_wnba_stats_officials(), load_wnba_stats_pbp(), load_wnba_stats_player_stats(), load_wnba_stats_rosters(), load_wnba_stats_schedule(), load_wnba_stats_shots(), load_wnba_stats_standings(), load_wnba_stats_team_stats()

Examples

# \donttest{
  try(load_wnba_stats_player_game_logs(seasons = most_recent_wnba_stats_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 4,415 × 35
#>    season_id team_id team_abbreviation team_name game_id game_date matchup wl   
#>    <chr>       <int> <chr>             <chr>     <chr>   <chr>     <chr>   <chr>
#>  1 22026      1.61e9 CON               Connecti… 102260… 2026-05-… CON @ … L    
#>  2 22026      1.61e9 TOR               Toronto … 102260… 2026-05-… TOR vs… L    
#>  3 22026      1.61e9 NYL               New York… 102260… 2026-05-… NYL vs… W    
#>  4 22026      1.61e9 GSV               Golden S… 102260… 2026-05-… GSV @ … W    
#>  5 22026      1.61e9 SEA               Seattle … 102260… 2026-05-… SEA vs… L    
#>  6 22026      1.61e9 WAS               Washingt… 102260… 2026-05-… WAS @ … W    
#>  7 22026      1.61e9 IND               Indiana … 102260… 2026-05-… IND vs… L    
#>  8 22026      1.61e9 ATL               Atlanta … 102260… 2026-05-… ATL @ … W    
#>  9 22026      1.61e9 DAL               Dallas W… 102260… 2026-05-… DAL @ … W    
#> 10 22026      1.61e9 CHI               Chicago … 102260… 2026-05-… CHI @ … W    
#> # ℹ 4,405 more rows
#> # ℹ 27 more variables: min <int>, fgm <int>, fga <int>, fg_pct <dbl>,
#> #   fg3m <int>, fg3a <int>, fg3_pct <dbl>, ftm <int>, fta <int>, ft_pct <dbl>,
#> #   oreb <int>, dreb <int>, reb <int>, ast <int>, stl <int>, blk <int>,
#> #   tov <int>, pf <int>, pts <int>, plus_minus <int>, video_available <int>,
#> #   season <int>, season_type <chr>, player_id <int>, player_name <chr>,
#> #   fantasy_pts <dbl>, measure_type <chr>
# }