WNBA — additional Python functions — Fox

fox_wnba_boxscore

fox_wnba_boxscore(game_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA boxscore (long: one row per player-stat).

Parameters

Parameter	Type	Default	Description
game_id	Union[int, str]		Fox Bifrost event id.
return_parsed	bool	True	If True (default) flatten the per-team stat tables to long form; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_boxscore
df = fox_wnba_boxscore("2278")

fox_wnba_event_matchup

fox_wnba_event_matchup(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba pregame team-stat comparison (one row per stat).

Wraps wnba/event/{game_id}/matchup.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_event_matchup
df = fox_wnba_event_matchup("...")

fox_wnba_event_recap

fox_wnba_event_recap(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba postgame top performers (one row per player).

Wraps wnba/event/{game_id}/recap.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_event_recap
df = fox_wnba_event_recap("...")

fox_wnba_event_standings

fox_wnba_event_standings(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba the two teams' standings context.

Wraps wnba/event/{game_id}/standings.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_event_standings
df = fox_wnba_event_standings("...")

fox_wnba_league_conferences

fox_wnba_league_conferences(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba conference / group directory.

Wraps wnba/league/conferences.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_league_conferences
df = fox_wnba_league_conferences()

fox_wnba_league_header

fox_wnba_league_header(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league header (one row).

Wraps wnba/league/header.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
template	character	Fox layout template name for the header block; always 'entity-header' in sampled data.
title	character	Title or label for the record.
entity_id	character	Fox id of the league entity as a string: the trailing number of the league's Fox contentUri.
content_uri	character	Fox Bifrost content URI of the league entity ('basketball/wnba/league/1' in sampled data).
content_type	character	Fox entity type of the header's entity; always 'league' in sampled data.
color	character	Primary color (hex without leading '#').
logo_url	character	NBA CDN primary logo URL.
image_alt_text	character	Alt text Fox attaches to the header image, which reads as the league's full name.
rank	character	Whether to include statistical ranks in the returned table.
details	character	Details.

Example

from sportsdataverse.wnba import fox_wnba_league_header
df = fox_wnba_league_header()

fox_wnba_league_leaders

fox_wnba_league_leaders(category: 'str' = 'scoring', who: 'str' = 'player', page: 'int' = 0, *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA statistical leaders (stats-con); who=player|team.

Parameters

Parameter	Type	Default	Description
category	str	'scoring'	Stat category. Defaults to "scoring".
who	str	'player'	"player" or "team". Defaults to "player".
page	int	0	0-based result page. Defaults to 0.
return_parsed	bool	True	If True (default) flatten the leader tables to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
players	character	Nested list of per-player box scores.
v1	character	Leader's name as Fox abbreviates it, first initial plus surname ('F. Lastname'); the column is named v1 because its table header cell is blank.
gp	character	Games played.
entity_id	character	Fox id of the row's linked player or team as a string: the trailing number of the row's entityLink contentUri.
min	character	Minutes played.
mpg	character	Minutes per game.

Example

from sportsdataverse.wnba import fox_wnba_league_leaders
df = fox_wnba_league_leaders("scoring")

fox_wnba_league_odds

fox_wnba_league_odds(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league odds board (one row per team per game).

Wraps wnba/league/odds.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
section	character	Title of the Fox odds-board section the game is listed under; always 'GAMES' in sampled data.
game_id	character	Unique game identifier.
event_time	character	Scheduled start of the game as an ISO-8601 UTC timestamp string (e.g. '2026-09-17T23:30:00Z').
event_status	integer	Fox numeric event-status code for the game (Int64); always 2 in the sampled board, where every game was still to be played at capture.
team	character	Team-side label or team identifier.
spread	character	Spread.
to_win	character	Moneyline for the team on this row as an American-odds string with explicit sign (e.g. '+884', '-126').
total	character	Total.

Example

from sportsdataverse.wnba import fox_wnba_league_odds
df = fox_wnba_league_odds()

fox_wnba_league_player_news

fox_wnba_league_player_news(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league-wide player news feed.

Wraps wnba/league/playernews.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
title	character	Title or label for the record.
subtitle	character	Player tag line shaped ' # - ' (e.g. 'PHX #2 - G/F').
headline	character	News headline.
description	character	Long-form description text.
impact_title	character	Heading label Fox shows above the impact note; always 'Impact' in sampled data.
impact	character	Fox's free-text impact note for the item, describing the player's availability or outlook (e.g. games missed with an injury and the next chance to play).
date	character	Date in YYYY-MM-DD format.
source	character	News source.
athlete_id	character	Unique athlete identifier (ESPN).
content_uri	character	Fox Bifrost content URI of the athlete the item is about, shaped 'basketball/wnba/athletes/<athlete_id>'.
web_url	character	Site-relative foxsports.com path of the player's page (e.g. '/wnba/kahleah-copper-player').

Example

from sportsdataverse.wnba import fox_wnba_league_player_news
df = fox_wnba_league_player_news()

fox_wnba_league_polls

fox_wnba_league_polls(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba rankings / polls rendered as standings tables.

Wraps wnba/league/polls.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_league_polls
df = fox_wnba_league_polls()

fox_wnba_league_schedule

fox_wnba_league_schedule(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league schedule nav selections.

Wraps wnba/league/schedule.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
selection_list	character	Which Fox navigation list the row came from ('groupList', 'dailyList' or 'selectionList'); always 'dailyList', one row per game date, in sampled data.
id	character	Unique play identification number
title	character	Title or label for the record.
date	character	Date in YYYY-MM-DD format.
uri	character	Absolute api.foxsports.com Bifrost URL of that date's segment payload (.../wnba/league/schedule-segment/-YYYYMMDD).
web_url	character	Site-relative foxsports.com path of the page for that date (e.g. '/wnba/schedule?date=YYYY-MM-DD').
selected	character	Fox's default-selection flag, which Fox sets only on group-filter (groupList) items; this league's navigation payload has no groupList, so the column is null on every row. The current date or week is marked by the payload-level currentSelectionId, which the parser does not return.
group_id	character	ESPN group id.

Example

from sportsdataverse.wnba import fox_wnba_league_schedule
df = fox_wnba_league_schedule()

fox_wnba_league_scores

fox_wnba_league_scores(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league scores nav selections.

Wraps wnba/league/scores.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
selection_list	character	Which Fox navigation list the row came from ('groupList', 'dailyList' or 'selectionList'); always 'dailyList', one row per game date, in sampled data.
id	character	Unique play identification number
title	character	Title or label for the record.
date	character	Date in YYYY-MM-DD format.
uri	character	Absolute api.foxsports.com Bifrost URL of that date's segment payload (.../wnba/league/scores-segment/YYYYMMDD).
web_url	character	Site-relative foxsports.com path of the page for that date (e.g. '/wnba/scores?date=YYYY-MM-DD').
selected	character	Fox's default-selection flag, which Fox sets only on group-filter (groupList) items; this league's navigation payload has no groupList, so the column is null on every row. The current date or week is marked by the payload-level currentSelectionId, which the parser does not return.
group_id	character	ESPN group id.

Example

from sportsdataverse.wnba import fox_wnba_league_scores
df = fox_wnba_league_scores()

fox_wnba_league_standings

fox_wnba_league_standings(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league-wide standings tables.

Wraps wnba/league/standings.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
section	character	Title of the Fox standings section the row came from, such as 'CONFERENCE' or 'PRESEASON'; each team appears once per section. Values in sampled data: 'CONFERENCE', 'PRESEASON'.
eastern	character	Team's position in the Eastern conference table, from the first column whose header is the table name; null on rows from other tables, as a number string ('1' to '7' in sampled data).
v1	character	Team nickname as Fox displays it (e.g. 'Liberty', 'Fever'); the column is named v1 because its table header cell is blank.
w_l	character	W l.
pct	character	Win percentage.
gb	character	Games behind the conference leader.
pf	character	Personal fouls.
pa	character	Points allowed per game as a one-decimal string (e.g. '86.0').
home	character	Home.
away	character	Away record.
conf	character	character.
l10	character	L10.
strk	character	Current streak.
entity_id	character	Fox id of the row's linked team as a string: the trailing number of the row's entityLink contentUri.
western	character	Team's position in the Western conference table, from the first column whose header is the table name; null on rows from other tables, as a number string ('1' to '8' in sampled data).

Example

from sportsdataverse.wnba import fox_wnba_league_standings
df = fox_wnba_league_standings()

fox_wnba_league_stat_leaders

fox_wnba_league_stat_leaders(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba league stats landing leaders.

Wraps wnba/league/stats.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
category	character	Category label.
stat	character	Stat.
stat_abbreviation	character	Fox's short code for the leader stat, such as 'PPG', 'RPG', 'FG%', 'DBL DBL' or 'OFF RTG'; the spelled-out name is in stat.
player	character	Player name.
value	character	Numeric or string value field.

Example

from sportsdataverse.wnba import fox_wnba_league_stat_leaders
df = fox_wnba_league_stat_leaders()

fox_wnba_odds

fox_wnba_odds(game_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA game odds six-pack (spread / to-win / total per team).

Parameters

Parameter	Type	Default	Description
game_id	Union[int, str]		Fox Bifrost event id.
return_parsed	bool	True	If True (default) flatten the six-pack market to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_odds
df = fox_wnba_odds("2278")

fox_wnba_pbp

fox_wnba_pbp(game_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA play-by-play (one row per play; period-based).

Parameters

Parameter	Type	Default	Description
game_id	Union[int, str]		Fox Bifrost event id.
return_parsed	bool	True	If True (default) flatten the pbp layout to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_pbp
df = fox_wnba_pbp("2278")

fox_wnba_scoreboard

fox_wnba_scoreboard(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba scoreboard nav selections (weeks / dates / groups).

Wraps wnba/scoreboard/main.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
selection_list	character	Which Fox navigation list the row came from ('groupList', 'dailyList' or 'selectionList'); always 'dailyList', one row per game date, in sampled data.
id	character	Unique play identification number
title	character	Title or label for the record.
date	character	Date in YYYY-MM-DD format.
uri	character	Absolute api.foxsports.com Bifrost URL of that date's segment payload (.../wnba/scoreboard/segment/YYYYMMDD).
web_url	character	Site-relative foxsports.com path of the page for that date (e.g. '/scores/wnba?date=YYYY-MM-DD').
selected	character	Fox's default-selection flag, which Fox sets only on group-filter (groupList) items; this league's navigation payload has no groupList, so the column is null on every row. The current date or week is marked by the payload-level currentSelectionId, which the parser does not return.
group_id	character	ESPN group id.

Example

from sportsdataverse.wnba import fox_wnba_scoreboard
df = fox_wnba_scoreboard()

fox_wnba_scorechip

fox_wnba_scorechip(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba compact live score chip (raw dict -- live-only, uncaptured shape).

Wraps wnba/scorechip/{chip_id}.

Returns

The raw JSON dict.

Example

from sportsdataverse.wnba import fox_wnba_scorechip
df = fox_wnba_scorechip("nfl12345")

fox_wnba_scores_segment

fox_wnba_scores_segment(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba one row per game in a scoreboard segment.

Wraps wnba/league/scores-segment/{segment_id}.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_scores_segment
df = fox_wnba_scores_segment("...")

fox_wnba_standings

fox_wnba_standings(team_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA standings for a team's conference/division.

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]		Fox Bifrost team id.
return_parsed	bool	True	If True (default) flatten the standings tables to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_standings
df = fox_wnba_standings("3")

fox_wnba_team_gamelog

fox_wnba_team_gamelog(team_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA team game log (long: one row per game-stat).

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]		Fox Bifrost team id.
return_parsed	bool	True	If True (default) flatten to long form; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_team_gamelog
df = fox_wnba_team_gamelog("3")

fox_wnba_team_header

fox_wnba_team_header(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba team header (one row).

Wraps wnba/team/{team_id}/header.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_team_header
df = fox_wnba_team_header("...")

fox_wnba_team_roster

fox_wnba_team_roster(team_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA team roster (one row per player).

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]		Fox Bifrost team id.
return_parsed	bool	True	If True (default) flatten the roster tables to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_team_roster
df = fox_wnba_team_roster("3")

fox_wnba_team_stats

fox_wnba_team_stats(team_id: 'Union[int, str]', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA team stat leaders by category.

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]		Fox Bifrost team id.
return_parsed	bool	True	If True (default) flatten the leader sections to a DataFrame; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

Example

from sportsdataverse.wnba import fox_wnba_team_stats
df = fox_wnba_team_stats("3")

fox_wnba_teamnav

fox_wnba_teamnav(*args: 'Any', **kwargs: 'Any') -> 'Any'

Fox Sports wnba team directory (one row per team).

Wraps wnba/league/teamnav.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
group	character	Group identifier (e.g. conference 'group_id').
fox_id	character	Fox Sports team id as a string, the trailing number of content_uri (e.g. '6').
abbreviation	character	Short abbreviation.
name	character	Display name.
content_uri	character	Fox Bifrost content URI identifying the team, shaped 'basketball/wnba/teams/<fox_id>'.
content_type	character	Fox entity type from the team's entity link; always 'team' in sampled data.
web_url	character	Site-relative foxsports.com path of the team page, shaped '/wnba/-team'.
color	character	Primary color (hex without leading '#').
logo_url	character	NBA CDN primary logo URL.

Example

from sportsdataverse.wnba import fox_wnba_teamnav
df = fox_wnba_teamnav()

fox_wnba_teams

fox_wnba_teams(team_id: 'Union[int, str]' = '3', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WNBA team directory (fox_team_id / fox_team_name / fox_section).

Derived from the standings endpoint (one league-wide payload), this is the frame the wehoop WNBA team crosswalk consumes.

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]	'3'	Seed Fox Bifrost team id whose standings page is read. Defaults to "3" — any WNBA team id returns the whole league.
return_parsed	bool	True	If True (default) flatten the standings to the team directory; if False return the raw JSON dict.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars. Ignored when return_parsed=False.

Returns

A polars DataFrame (default), a pandas DataFrame when return_as_pandas=True, or the raw JSON dict when return_parsed=False.

col_name	type	description
fox_team_id	character	Fox Bifrost team id (NA if unmatched).
fox_team_name	character	Fox team name (NA if unmatched).
fox_section	character	Fox conference/section label (NA if unmatched).

Example

from sportsdataverse.wnba import fox_wnba_teams
df = fox_wnba_teams()