WNBA — additional Python functions — sportsdataverse-data releases

load_wnba_stats_leaguedash

load_wnba_stats_leaguedash(family: 'str', seasons, return_as_pandas: 'bool' = False) -> 'pl.DataFrame'

Load one asset family of the wnba_stats_leaguedash release.

wnba_stats_leaguedash is a parameter cube: one asset per (family, season) pair rather than one per season, so a family must be named. The valid families are exported as WNBA_STATS_LEAGUEDASH_FAMILIES -- import that tuple to discover them rather than passing a bare string; an unknown family raises ValueError listing every valid value. This is the non-deprecated way to reach the cube; the four load_wnba_stats_* shims below only reconstruct retired tags' stacked shapes from it.

Column sets are family-specific (a lineups_* frame keys on group_id, a player_* frame on player_id), so this loader documents no fixed returns table. player_id / team_id are Int64 in every family and season, so cross-family joins need no dtype reconciliation.

Parameters

Parameter	Type	Default	Description
family	str		Asset family, e.g. "player_stats_advanced". Must be one of WNBA_STATS_LEAGUEDASH_FAMILIES.
seasons	int | Iterable[int]		Season, or iterable of seasons, to load. WNBA seasons are single calendar years. 1997 is the earliest season on the tag. A requested season the family does not publish is warned about and skipped, not an error.
return_as_pandas	bool	False	If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns

Polars dataframe with one row per player / team / lineup per requested season for the requested family; an empty frame when no requested season is published.

col_name	type	description
player_id	integer	Unique player identifier.
player_name	character	Player name.
nickname	character	Team or athlete nickname.
team_id	integer	Unique team identifier.
team_abbreviation	character	Short team abbreviation (e.g. 'LAS').
age	double	Player age (in years).
gp	integer	Games played.
w	integer	Wins.
l	integer	Losses.
w_pct	double	Wins percentage (0-1 decimal).
min	double	Minutes played.
e_off_rating	double
off_rating	double
sp_work_off_rating	double
e_def_rating	double
def_rating	double
sp_work_def_rating	double
e_net_rating	double
net_rating	double	Net rating (off rating - def rating).
sp_work_net_rating	double
ast_pct	double	Assist percentage.
ast_to	double
ast_ratio	double
oreb_pct	double
dreb_pct	double
reb_pct	double
tm_tov_pct	double
e_tov_pct	double
efg_pct	double
ts_pct	double	True shooting percentage (0-1).
usg_pct	double
e_usg_pct	double
e_pace	double
pace	double	Possessions per 48 minutes.
pace_per40	double	Pace per40.
sp_work_pace	double
pie	double	Player Impact Estimate (0-1).
poss	integer	Poss.
fgm	integer	Field goals made.
fga	integer	Field goal attempts.
fgm_pg	double
fga_pg	double
fg_pct	double	Field goal percentage (0-1).
gp_rank	integer
w_rank	integer
l_rank	integer
w_pct_rank	integer
min_rank	integer
e_off_rating_rank	integer
off_rating_rank	integer
sp_work_off_rating_rank	integer
e_def_rating_rank	integer
def_rating_rank	integer
sp_work_def_rating_rank	integer
e_net_rating_rank	integer
net_rating_rank	integer
sp_work_net_rating_rank	integer
ast_pct_rank	integer
ast_to_rank	integer
ast_ratio_rank	integer
oreb_pct_rank	integer
dreb_pct_rank	integer
reb_pct_rank	integer
tm_tov_pct_rank	integer
e_tov_pct_rank	integer
efg_pct_rank	integer
ts_pct_rank	integer
usg_pct_rank	integer
e_usg_pct_rank	integer
e_pace_rank	integer
pace_rank	integer
sp_work_pace_rank	integer
pie_rank	integer
fgm_rank	integer
fga_rank	integer
fgm_pg_rank	integer
fga_pg_rank	integer
fg_pct_rank	integer
team_count	integer
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
league_id	character	League identifier ('10' = WNBA).
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).
per_mode	character

Example

from sportsdataverse.wnba import load_wnba_stats_leaguedash
adv = load_wnba_stats_leaguedash("player_stats_advanced", seasons=2025)
print(adv.shape)

# Discover the valid families

from sportsdataverse.wnba import WNBA_STATS_LEAGUEDASH_FAMILIES
print(WNBA_STATS_LEAGUEDASH_FAMILIES)

# Multi-season, pandas round-trip

team_pd = load_wnba_stats_leaguedash(
    "team_stats_base", seasons=range(2020, 2026), return_as_pandas=True
)

# Pipeline next step (best net rating in 2025)

import polars as pl
load_wnba_stats_leaguedash("team_stats_advanced", seasons=2025).sort(
    "net_rating", descending=True
).head()

load_wnba_stats_lineups

load_wnba_stats_lineups(seasons, return_as_pandas: 'bool' = False) -> 'pl.DataFrame'

Load season-level WNBA 5-man lineup statistics (deprecated).

Parameters

Parameter	Type	Default	Description
seasons			an int or iterable of seasons.
return_as_pandas	bool	False	return a pandas DataFrame instead of polars.

Returns

A polars (or pandas) DataFrame, one row per lineup-season-measure_type, stacked from the wnba_stats_leaguedash cube's lineups_{base, advanced} assets filtered to group_quantity == 5 — matching the old wnba_stats_lineups tag's 5-man-only, Base+Advanced-only coverage. Call the cube's lineups_* assets directly (unfiltered) for 2/3/4-man lineups or the other 4 measure types.

col_name	type	description
group_set	character
group_id	character	ESPN group id.
group_name	character
team_id	integer	Unique team identifier.
team_abbreviation	character	Short team abbreviation (e.g. 'LAS').
gp	integer	Games played.
w	integer	Wins.
l	integer	Losses.
w_pct	double	Wins percentage (0-1 decimal).
min	double	Minutes played.
fgm	integer	Field goals made.
fga	integer	Field goal attempts.
fg_pct	double	Field goal percentage (0-1).
fg3_m	integer	Three-point field goals made.
fg3_a	integer	Three-point field goal attempts.
fg3_pct	double	Three-point field goal percentage (0-1).
ftm	integer	Free throws made.
fta	integer	Free throw attempts.
ft_pct	double	Free throw percentage (0-1).
oreb	integer	Offensive rebounds.
dreb	integer	Defensive rebounds.
reb	integer	Total rebounds.
ast	integer	Assists.
tov	double	Turnovers.
stl	integer	Steals.
blk	integer	Blocks.
blka	integer
pf	integer	Personal fouls.
pfd	integer
pts	integer	Points scored.
plus_minus	double	Plus/minus point differential while on court.
gp_rank	integer
w_rank	integer
l_rank	integer
w_pct_rank	integer
min_rank	integer
fgm_rank	integer
fga_rank	integer
fg_pct_rank	integer
fg3_m_rank	integer
fg3_a_rank	integer
fg3_pct_rank	integer
ftm_rank	integer
fta_rank	integer
ft_pct_rank	integer
oreb_rank	integer
dreb_rank	integer
reb_rank	integer
ast_rank	integer
tov_rank	integer
stl_rank	integer
blk_rank	integer
blka_rank	integer
pf_rank	integer
pfd_rank	integer
pts_rank	integer
plus_minus_rank	integer
sum_time_played	integer
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
league_id	character	League identifier ('10' = WNBA).
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).
per_mode	character
group_quantity	integer
measure_type	character
e_off_rating	double
off_rating	double
e_def_rating	double
def_rating	double
e_net_rating	double
net_rating	double	Net rating (off rating - def rating).
ast_pct	double	Assist percentage.
ast_to	double
ast_ratio	double
oreb_pct	double
dreb_pct	double
reb_pct	double
tm_tov_pct	double
efg_pct	double
ts_pct	double	True shooting percentage (0-1).
e_pace	double
pace	double	Possessions per 48 minutes.
pace_per40	double	Pace per40.
poss	integer	Poss.
pie	double	Player Impact Estimate (0-1).
off_rating_rank	integer
def_rating_rank	integer
net_rating_rank	integer
ast_pct_rank	integer
ast_to_rank	integer
ast_ratio_rank	integer
oreb_pct_rank	integer
dreb_pct_rank	integer
reb_pct_rank	integer
tm_tov_pct_rank	integer
efg_pct_rank	integer
ts_pct_rank	integer
pace_rank	integer
pie_rank	integer

Example

from sportsdataverse.wnba import load_wnba_stats_lineups
df = load_wnba_stats_lineups(seasons=2026)
print(df.shape)

load_wnba_stats_player_season_stats

load_wnba_stats_player_season_stats(seasons, return_as_pandas: 'bool' = False) -> 'pl.DataFrame'

Load season-level WNBA player statistics (deprecated).

Parameters

Parameter	Type	Default	Description
seasons			an int or iterable of seasons.
return_as_pandas	bool	False	return a pandas DataFrame instead of polars.

Returns

A polars (or pandas) DataFrame, one row per player-season-measure_type, stacked from the wnba_stats_leaguedash cube's player_stats_* assets (Base/Advanced/Misc/Scoring/Usage/Defense — matches the old wnba_stats_player_season_stats tag's coverage; player-level Opponent/Four Factors are empty upstream and were never populated by either version).

col_name	type	description
player_id	integer	Unique player identifier.
player_name	character	Player name.
nickname	character	Team or athlete nickname.
team_id	integer	Unique team identifier.
team_abbreviation	character	Short team abbreviation (e.g. 'LAS').
age	double	Player age (in years).
gp	integer	Games played.
w	integer	Wins.
l	integer	Losses.
w_pct	double	Wins percentage (0-1 decimal).
min	double	Minutes played.
fgm	integer	Field goals made.
fga	integer	Field goal attempts.
fg_pct	double	Field goal percentage (0-1).
fg3_m	integer	Three-point field goals made.
fg3_a	integer	Three-point field goal attempts.
fg3_pct	double	Three-point field goal percentage (0-1).
ftm	integer	Free throws made.
fta	integer	Free throw attempts.
ft_pct	double	Free throw percentage (0-1).
oreb	integer	Offensive rebounds.
dreb	integer	Defensive rebounds.
reb	integer	Total rebounds.
ast	integer	Assists.
tov	integer	Turnovers.
stl	integer	Steals.
blk	integer	Blocks.
blka	integer
pf	integer	Personal fouls.
pfd	integer
pts	integer	Points scored.
plus_minus	integer	Plus/minus point differential while on court.
nba_fantasy_pts	double
dd2	integer
td3	integer
wnba_fantasy_pts	double
gp_rank	integer
w_rank	integer
l_rank	integer
w_pct_rank	integer
min_rank	integer
fgm_rank	integer
fga_rank	integer
fg_pct_rank	integer
fg3_m_rank	integer
fg3_a_rank	integer
fg3_pct_rank	integer
ftm_rank	integer
fta_rank	integer
ft_pct_rank	integer
oreb_rank	integer
dreb_rank	integer
reb_rank	integer
ast_rank	integer
tov_rank	integer
stl_rank	integer
blk_rank	integer
blka_rank	integer
pf_rank	integer
pfd_rank	integer
pts_rank	integer
plus_minus_rank	integer
nba_fantasy_pts_rank	integer
dd2_rank	integer
td3_rank	integer
wnba_fantasy_pts_rank	integer
team_count	integer
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
league_id	character	League identifier ('10' = WNBA).
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).
per_mode	character
measure_type	character
e_off_rating	double
off_rating	double
sp_work_off_rating	double
e_def_rating	double
def_rating	double
sp_work_def_rating	double
e_net_rating	double
net_rating	double	Net rating (off rating - def rating).
sp_work_net_rating	double
ast_pct	double	Assist percentage.
ast_to	double
ast_ratio	double
oreb_pct	double
dreb_pct	double
reb_pct	double
tm_tov_pct	double
e_tov_pct	double
efg_pct	double
ts_pct	double	True shooting percentage (0-1).
usg_pct	double
e_usg_pct	double
e_pace	double
pace	double	Possessions per 48 minutes.
pace_per40	double	Pace per40.
sp_work_pace	double
pie	double	Player Impact Estimate (0-1).
poss	integer	Poss.
fgm_pg	double
fga_pg	double
e_off_rating_rank	integer
off_rating_rank	integer
sp_work_off_rating_rank	integer
e_def_rating_rank	integer
def_rating_rank	integer
sp_work_def_rating_rank	integer
e_net_rating_rank	integer
net_rating_rank	integer
sp_work_net_rating_rank	integer
ast_pct_rank	integer
ast_to_rank	integer
ast_ratio_rank	integer
oreb_pct_rank	integer
dreb_pct_rank	integer
reb_pct_rank	integer
tm_tov_pct_rank	integer
e_tov_pct_rank	integer
efg_pct_rank	integer
ts_pct_rank	integer
usg_pct_rank	integer
e_usg_pct_rank	integer
e_pace_rank	integer
pace_rank	integer
sp_work_pace_rank	integer
pie_rank	integer
fgm_pg_rank	integer
fga_pg_rank	integer
pts_off_tov	integer
pts_2_nd_chance	integer
pts_fb	integer
pts_paint	integer
opp_pts_off_tov	double
opp_pts_2_nd_chance	double
opp_pts_fb	double
opp_pts_paint	double
pts_off_tov_rank	integer
pts_2_nd_chance_rank	integer
pts_fb_rank	integer
pts_paint_rank	integer
opp_pts_off_tov_rank	integer
opp_pts_2_nd_chance_rank	integer
opp_pts_fb_rank	integer
opp_pts_paint_rank	integer
pct_fga_2_pt	double
pct_fga_3_pt	double
pct_pts_2_pt	double
pct_pts_2_pt_mr	double
pct_pts_3_pt	double
pct_pts_fb	double
pct_pts_ft	double
pct_pts_off_tov	double
pct_pts_paint	double
pct_ast_2_pm	double
pct_uast_2_pm	double
pct_ast_3_pm	double
pct_uast_3_pm	double
pct_ast_fgm	double
pct_uast_fgm	double
pct_fga_2_pt_rank	integer
pct_fga_3_pt_rank	integer
pct_pts_2_pt_rank	integer
pct_pts_2_pt_mr_rank	integer
pct_pts_3_pt_rank	integer
pct_pts_fb_rank	integer
pct_pts_ft_rank	integer
pct_pts_off_tov_rank	integer
pct_pts_paint_rank	integer
pct_ast_2_pm_rank	integer
pct_uast_2_pm_rank	integer
pct_ast_3_pm_rank	integer
pct_uast_3_pm_rank	integer
pct_ast_fgm_rank	integer
pct_uast_fgm_rank	integer
pct_fgm	double
pct_fga	double
pct_fg3_m	double
pct_fg3_a	double
pct_ftm	double
pct_fta	double
pct_oreb	double
pct_dreb	double
pct_reb	double
pct_ast	double
pct_tov	double
pct_stl	double
pct_blk	double
pct_blka	double
pct_pf	double
pct_pfd	double
pct_pts	double
pct_fgm_rank	integer
pct_fga_rank	integer
pct_fg3_m_rank	integer
pct_fg3_a_rank	integer
pct_ftm_rank	integer
pct_fta_rank	integer
pct_oreb_rank	integer
pct_dreb_rank	integer
pct_reb_rank	integer
pct_ast_rank	integer
pct_tov_rank	integer
pct_stl_rank	integer
pct_blk_rank	integer
pct_blka_rank	integer
pct_pf_rank	integer
pct_pfd_rank	integer
pct_pts_rank	integer
def_ws	double
def_ws_raw	double
def_ws_rank	integer

Example

from sportsdataverse.wnba import load_wnba_stats_player_season_stats
df = load_wnba_stats_player_season_stats(seasons=2026)
print(df.shape)

# Pipeline next step (Advanced-only rows)

import polars as pl
adv = df.filter(pl.col("measure_type") == "Advanced")

load_wnba_stats_standings

load_wnba_stats_standings(seasons, return_as_pandas: 'bool' = False) -> 'pl.DataFrame'

Load season-level WNBA standings (deprecated).

Parameters

Parameter	Type	Default	Description
seasons			an int or iterable of seasons.
return_as_pandas	bool	False	return a pandas DataFrame instead of polars.

Returns

A polars (or pandas) DataFrame, one row per team-season, read from the wnba_stats_leaguedash cube's standings asset -- the same underlying leaguestandingsv3 endpoint/params as the old wnba_stats_standings tag, so this is close to a pure passthrough.

col_name	type	description
league_id	character	League identifier ('10' = WNBA).
season_id	character	Unique season identifier.
team_id	integer	Unique team identifier.
team_city	character	Team city or region (e.g. 'Las Vegas').
team_name	character	Full team display name (e.g. 'Las Vegas Aces').
team_slug	character	URL-safe team identifier (e.g. 'lasvegas-aces' / 'aces').
conference	character	Filter players or teams by conference.
conference_record	character	Conference win-loss record.
playoff_rank	integer	League/season rank for playoff.
clinch_indicator	character	Playoff clinch indicator (e.g. 'x' clinched playoff, 'e' eliminated).
division	character	Team division.
division_record	character
division_rank	integer
wins	integer	Total wins.
losses	integer	Total losses.
win_pct	double	Win percentage (0-1 decimal).
league_rank	integer
record	character	Record string (e.g. '12-4').
home	character	Home.
road	character	Road.
l10	character	L10.
last10_home	character
last10_road	character
ot	character	Ot.
three_pts_or_less	character
ten_pts_or_more	character
long_home_streak	integer
str_long_home_streak	character
long_road_streak	integer
str_long_road_streak	character
long_win_streak	integer
long_loss_streak	integer
current_home_streak	integer
str_current_home_streak	character
current_road_streak	integer
str_current_road_streak	character
current_streak	integer
str_current_streak	character
conference_games_back	double
division_games_back	double
clinched_conference_title	integer
clinched_division_title	integer
clinched_playoff_birth	integer
clinched_play_in	integer
eliminated_conference	integer
eliminated_division	integer
ahead_at_half	character
behind_at_half	character
tied_at_half	character
ahead_at_third	character
behind_at_third	character
tied_at_third	character
score100_pts	character
opp_score100_pts	character
opp_over500	character
lead_in_fgpct	character
lead_in_reb	character
fewer_turnovers	character
points_pg	double	Points pg.
opp_points_pg	double	Opponent points pg.
diff_points_pg	double	Diff points pg.
vs_east	character
vs_atlantic	character
vs_central	character
vs_southeast	character
vs_west	character
vs_northwest	character
vs_pacific	character
vs_southwest	character
jan	character
feb	character
mar	character
apr	character
may	character
jun	character
jul	character
aug	character
sep	character
oct	character
nov	character
dec	character
score_80_plus	character
opp_score_80_plus	character
score_below_80	character
opp_score_below_80	character
total_points	integer
opp_total_points	integer
diff_total_points	integer
league_games_back	double
playoff_seeding	character
clinched_post_season	integer
neutral	character	Neutral.
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).

Example

from sportsdataverse.wnba import load_wnba_stats_standings
df = load_wnba_stats_standings(seasons=2026)
print(df.shape)

load_wnba_stats_team_season_stats

load_wnba_stats_team_season_stats(seasons, return_as_pandas: 'bool' = False) -> 'pl.DataFrame'

Load season-level WNBA team statistics (deprecated).

Parameters

Parameter	Type	Default	Description
seasons			an int or iterable of seasons.
return_as_pandas	bool	False	return a pandas DataFrame instead of polars.

Returns

A polars (or pandas) DataFrame, one row per team-season-measure_type, stacked from the wnba_stats_leaguedash cube's team_stats_* assets (Base/Advanced/Misc/Scoring/Defense/ Opponent — matches the old wnba_stats_team_season_stats tag's coverage; team-level Usage/Four Factors are empty upstream).

col_name	type	description
team_id	integer	Unique team identifier.
team_name	character	Full team display name (e.g. 'Las Vegas Aces').
gp	integer	Games played.
w	integer	Wins.
l	integer	Losses.
w_pct	double	Wins percentage (0-1 decimal).
min	double	Minutes played.
fgm	integer	Field goals made.
fga	integer	Field goal attempts.
fg_pct	double	Field goal percentage (0-1).
fg3_m	integer	Three-point field goals made.
fg3_a	integer	Three-point field goal attempts.
fg3_pct	double	Three-point field goal percentage (0-1).
ftm	integer	Free throws made.
fta	integer	Free throw attempts.
ft_pct	double	Free throw percentage (0-1).
oreb	integer	Offensive rebounds.
dreb	integer	Defensive rebounds.
reb	integer	Total rebounds.
ast	integer	Assists.
tov	double	Turnovers.
stl	integer	Steals.
blk	integer	Blocks.
blka	integer
pf	integer	Personal fouls.
pfd	integer
pts	integer	Points scored.
plus_minus	double	Plus/minus point differential while on court.
gp_rank	integer
w_rank	integer
l_rank	integer
w_pct_rank	integer
min_rank	integer
fgm_rank	integer
fga_rank	integer
fg_pct_rank	integer
fg3_m_rank	integer
fg3_a_rank	integer
fg3_pct_rank	integer
ftm_rank	integer
fta_rank	integer
ft_pct_rank	integer
oreb_rank	integer
dreb_rank	integer
reb_rank	integer
ast_rank	integer
tov_rank	integer
stl_rank	integer
blk_rank	integer
blka_rank	integer
pf_rank	integer
pfd_rank	integer
pts_rank	integer
plus_minus_rank	integer
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
league_id	character	League identifier ('10' = WNBA).
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).
per_mode	character
measure_type	character
e_off_rating	double
off_rating	double
e_def_rating	double
def_rating	double
e_net_rating	double
net_rating	double	Net rating (off rating - def rating).
ast_pct	double	Assist percentage.
ast_to	double
ast_ratio	double
oreb_pct	double
dreb_pct	double
reb_pct	double
tm_tov_pct	double
efg_pct	double
ts_pct	double	True shooting percentage (0-1).
e_pace	double
pace	double	Possessions per 48 minutes.
pace_per40	double	Pace per40.
poss	integer	Poss.
pie	double	Player Impact Estimate (0-1).
off_rating_rank	integer
def_rating_rank	integer
net_rating_rank	integer
ast_pct_rank	integer
ast_to_rank	integer
ast_ratio_rank	integer
oreb_pct_rank	integer
dreb_pct_rank	integer
reb_pct_rank	integer
tm_tov_pct_rank	integer
efg_pct_rank	integer
ts_pct_rank	integer
pace_rank	integer
pie_rank	integer
pts_off_tov	double
pts_2_nd_chance	double
pts_fb	double
pts_paint	double
opp_pts_off_tov	double
opp_pts_2_nd_chance	double
opp_pts_fb	double
opp_pts_paint	double
pts_off_tov_rank	integer
pts_2_nd_chance_rank	integer
pts_fb_rank	integer
pts_paint_rank	integer
opp_pts_off_tov_rank	integer
opp_pts_2_nd_chance_rank	integer
opp_pts_fb_rank	integer
opp_pts_paint_rank	integer
pct_fga_2_pt	double
pct_fga_3_pt	double
pct_pts_2_pt	double
pct_pts_2_pt_mr	double
pct_pts_3_pt	double
pct_pts_fb	double
pct_pts_ft	double
pct_pts_off_tov	double
pct_pts_paint	double
pct_ast_2_pm	double
pct_uast_2_pm	double
pct_ast_3_pm	double
pct_uast_3_pm	double
pct_ast_fgm	double
pct_uast_fgm	double
pct_fga_2_pt_rank	integer
pct_fga_3_pt_rank	integer
pct_pts_2_pt_rank	integer
pct_pts_2_pt_mr_rank	integer
pct_pts_3_pt_rank	integer
pct_pts_fb_rank	integer
pct_pts_ft_rank	integer
pct_pts_off_tov_rank	integer
pct_pts_paint_rank	integer
pct_ast_2_pm_rank	integer
pct_uast_2_pm_rank	integer
pct_ast_3_pm_rank	integer
pct_uast_3_pm_rank	integer
pct_ast_fgm_rank	integer
pct_uast_fgm_rank	integer
opp_fgm	double
opp_fga	double
opp_fg_pct	double
opp_fg3_m	double
opp_fg3_a	double
opp_fg3_pct	double
opp_ftm	double
opp_fta	double
opp_ft_pct	double
opp_oreb	double
opp_dreb	double
opp_reb	double
opp_ast	double
opp_tov	double
opp_stl	double
opp_blk	double
opp_blka	double
opp_pf	double
opp_pfd	double
opp_pts	double	Opponent points.
opp_fgm_rank	integer
opp_fga_rank	integer
opp_fg_pct_rank	integer
opp_fg3_m_rank	integer
opp_fg3_a_rank	integer
opp_fg3_pct_rank	integer
opp_ftm_rank	integer
opp_fta_rank	integer
opp_ft_pct_rank	integer
opp_oreb_rank	integer
opp_dreb_rank	integer
opp_reb_rank	integer
opp_ast_rank	integer
opp_tov_rank	integer
opp_stl_rank	integer
opp_blk_rank	integer
opp_blka_rank	integer
opp_pf_rank	integer
opp_pfd_rank	integer
opp_pts_rank	integer

Example

from sportsdataverse.wnba import load_wnba_stats_team_season_stats
df = load_wnba_stats_team_season_stats(seasons=2026)
print(df.shape)