WBB — additional Python functions — Fox Sports API

fox_wbb_boxscore

fox_wbb_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]]"

WBB 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.

col_name	type	description
game_id	character	Unique game identifier.
team	character	Team-side label or team identifier.
stat_group	character
player	character	Player name.
athlete_id	character	Unique athlete identifier (ESPN).
stat	character	Stat.
value	character	Numeric or string value field.

Example

from sportsdataverse.wbb import fox_wbb_boxscore
df = fox_wbb_boxscore("389046")

fox_wbb_event_matchup

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

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

Wraps wcbk/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.wbb import fox_wbb_event_matchup
df = fox_wbb_event_matchup("...")

fox_wbb_event_recap

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

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

Wraps wcbk/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.wbb import fox_wbb_event_recap
df = fox_wbb_event_recap("...")

fox_wbb_event_standings

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

Fox Sports wcbk the two teams' standings context.

Wraps wcbk/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.wbb import fox_wbb_event_standings
df = fox_wbb_event_standings("...")

fox_wbb_league_conferences

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

Fox Sports wcbk conference / group directory.

Wraps wcbk/league/conferences.

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 conference id as a string, the trailing number of content_uri; ids are assigned per feed and usually differ between the men's and women's feeds (ACC 11 vs 12), though some coincide (America East is 9 in both), so never join the two feeds on it.
abbreviation	character	Short abbreviation.
name	character	Display name.
content_uri	character	Fox Bifrost content URI identifying the conference (e.g. 'basketball/wcbk/groups/11'); fox_id is its trailing number.
content_type	character	Fox entity type from the conference's entity link; always 'league' in sampled data, even though each row is a conference.
web_url	character	Site-relative foxsports.com path of the conference page (e.g. '/womens-college-basketball/acc').
color	character	Primary color (hex without leading '#').
logo_url	character	NBA CDN primary logo URL.

Example

from sportsdataverse.wbb import fox_wbb_league_conferences
df = fox_wbb_league_conferences()

fox_wbb_league_header

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

Fox Sports wcbk league header (one row).

Wraps wcbk/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/wcbk/league/1' in sampled data).
content_type	character	Fox entity type of the header's entity; '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 display name ('Women's College Basketball' in sampled data).
rank	character	Rank.
details	character	Details.

Example

from sportsdataverse.wbb import fox_wbb_league_header
df = fox_wbb_league_header()

fox_wbb_league_leaders

fox_wbb_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]]"

WBB 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 (e.g. 'T. Sides'); 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.
gs	character	Games started.
mpg	character	Minutes per game.
ppg	character	Points per game.
pts	character	Points scored.

Example

from sportsdataverse.wbb import fox_wbb_league_leaders
df = fox_wbb_league_leaders("scoring")

fox_wbb_league_odds

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

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

Wraps wcbk/league/odds.

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.wbb import fox_wbb_league_odds
df = fox_wbb_league_odds()

fox_wbb_league_player_news

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

Fox Sports wcbk league-wide player news feed.

Wraps wcbk/league/playernews.

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.wbb import fox_wbb_league_player_news
df = fox_wbb_league_player_news()

fox_wbb_league_polls

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

Fox Sports wcbk rankings / polls rendered as standings tables.

Wraps wcbk/league/polls.

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	Ranking the row belongs to: 'ASSOCIATED PRESS', 'USA TODAY COACHES POLL' or 'RPI RANKINGS' (25 rows each in sampled data).
ranking	character	Team recruiting ranking.
v1	character	Unlabeled second table column whose meaning depends on section: in the two polls it is Fox's rank-change cell, an unsigned number string (e.g. '5') that is null when no change is shown; on 'RPI RANKINGS' rows it holds the team name.
v2	character	Team name on poll rows, with first-place votes in parentheses when the team received any (e.g. 'UCLA (31)'); null on 'RPI RANKINGS' rows, where the name is in v1.
pts	character	Points scored.
entity_id	character	Fox id of the row's linked team as a string: the trailing number of the row's entityLink contentUri.
rpi	character	RPI value as a decimal string with a leading dot (e.g. '.7007'); populated only on 'RPI RANKINGS' rows and null on both poll sections.
sos	character	Strength of schedule.
home	character	Home.
away	character	Away record.
neutral	character	Neutral.
team	character	Team-side label or team identifier.
rank_change	integer

Example

from sportsdataverse.wbb import fox_wbb_league_polls
df = fox_wbb_league_polls()

fox_wbb_league_schedule

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

Fox Sports wcbk league schedule nav selections.

Wraps wcbk/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' (group filters such as FEATURED, TOP 25 and each conference; uri is null) or 'dailyList' (one row per game date).
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 (.../league/schedule-segment/-YYYYMMDD?groupId=...); null on groupList rows.
web_url	character	Site-relative foxsports.com path of the page the selection opens (e.g. '/womens-college-basketball/schedule?groupId=top25').
selected	logical	Fox's default-selection flag: True on the one group filter (a groupList row) Fox pre-selects, and null (never False) on every other row.
group_id	character	ESPN group id.

Example

from sportsdataverse.wbb import fox_wbb_league_schedule
df = fox_wbb_league_schedule()

fox_wbb_league_scores

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

Fox Sports wcbk league scores nav selections.

Wraps wcbk/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' (group filters such as FEATURED, TOP 25 and each conference; uri is null) or 'dailyList' (one row per game date).
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 (.../league/scores-segment/YYYYMMDD?groupId=...); null on groupList rows.
web_url	character	Site-relative foxsports.com path of the page the selection opens (e.g. '/womens-college-basketball/scores?groupId=top25').
selected	logical	Fox's default-selection flag: True on the one group filter (a groupList row) Fox pre-selects, and null (never False) on every other row.
group_id	character	ESPN group id.

Example

from sportsdataverse.wbb import fox_wbb_league_scores
df = fox_wbb_league_scores()

fox_wbb_league_standings

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

Fox Sports wcbk league-wide standings tables.

Wraps wcbk/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; always 'CONFERENCE' in sampled data.
wcbk	character	Team's position number from Fox's rank cell, as a string; it restarts down the single flattened table (1 for UConn on the first row, 41 on the last), so it is a position within a block of that table, not one national ordering. Named after the header cell text 'WCBK'.
v1	character	Team name as Fox displays it (e.g. 'UConn', 'South Carolina'); the column is named v1 because its table header cell is blank.
conf	character	character.
w_l	character	W l.
top_25	character	Record against Top 25 opponents as a 'W-L' string (e.g. '7-1').
home	character	Home.
away	character	Away record.
pf	character	Personal fouls.
pa	character	Season total points allowed, as an integer string (e.g. '1966' for a 38-1 UConn).
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.
di	character

Example

from sportsdataverse.wbb import fox_wbb_league_standings
df = fox_wbb_league_standings()

fox_wbb_league_stat_leaders

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

Fox Sports wcbk league stats landing leaders.

Wraps wcbk/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', '3FGM/G', 'TS%' or 'HIGH'; the spelled-out name is in stat.
player	character	Player name.
value	character	Numeric or string value field.

Example

from sportsdataverse.wbb import fox_wbb_league_stat_leaders
df = fox_wbb_league_stat_leaders()

fox_wbb_odds

fox_wbb_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]]"

WBB 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.

No returns table is published for this function: no capture: for this sport Fox sends the odds under sectionList modules rather than the top-level sixPack key the shared parser reads (football and MLB still use sixPack), so it returns an empty frame for every game.

Example

from sportsdataverse.wbb import fox_wbb_odds
df = fox_wbb_odds("389046")

fox_wbb_pbp

fox_wbb_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]]"

WBB 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.

col_name	type	description
game_id	character	Unique game identifier.
period	character	Period of the game (1-4 quarters; 5+ for OT).
left_team	character
right_team	character
play_id	character	Unique play identifier within a game.
clock	character	Game clock value.
team	character	Team-side label or team identifier.
left_score_change	logical
right_score_change	logical
play_text	character	Play description text.

Example

from sportsdataverse.wbb import fox_wbb_pbp
df = fox_wbb_pbp("389046")

fox_wbb_scoreboard

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

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

Wraps wcbk/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' (group filters such as FEATURED, TOP 25 and each conference; uri is null) or 'dailyList' (one row per game date).
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 (.../scoreboard/segment/YYYYMMDD?groupId=...); null on groupList rows.
web_url	character	Site-relative foxsports.com path of the page the selection opens (e.g. '/scores/womens-college-basketball?groupId=top25').
selected	logical	Fox's default-selection flag: True on the one group filter (a groupList row) Fox pre-selects, and null (never False) on every other row.
group_id	character	ESPN group id.

Example

from sportsdataverse.wbb import fox_wbb_scoreboard
df = fox_wbb_scoreboard()

fox_wbb_scorechip

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

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

Wraps wcbk/scorechip/{chip_id}.

Returns

The raw JSON dict.

Example

from sportsdataverse.wbb import fox_wbb_scorechip
df = fox_wbb_scorechip("nfl12345")

fox_wbb_scores_segment

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

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

Wraps wcbk/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.wbb import fox_wbb_scores_segment
df = fox_wbb_scores_segment("...")

fox_wbb_standings

fox_wbb_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]]"

WBB 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.

col_name	type	description
team_id	character	Unique team identifier.
section	character
big_east	character
v1	character
conf	character	character.
w_l	character	W l.
top_25	character
home	character	Home.
away	character	Away record.
pf	character	Personal fouls.
pa	character
strk	character	Current streak.
entity_id	character	Composite Yahoo id this editorial row was keyed under, surfaced from the collection map key (e.g., "ncaaf.g.202509200023" for a game, "ncaaf.t.29" for a team); always carried as Utf8.

Example

from sportsdataverse.wbb import fox_wbb_standings
df = fox_wbb_standings("11")

fox_wbb_team_gamelog

fox_wbb_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]]"

WBB 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.

col_name	type	description
team_id	character	Unique team identifier.
season_type	character	Season type (1=pre-season, 2=regular season, 3=postseason, 4=off-season for ESPN; or string label for WNBA Stats).
category	character	Category label.
game_id	character	Unique game identifier.
game_date	character	Game date (YYYY-MM-DD).
opponent	character	Opponent.
stat	character	Stat.
value	character	Numeric or string value field.

Example

from sportsdataverse.wbb import fox_wbb_team_gamelog
df = fox_wbb_team_gamelog("11")

fox_wbb_team_header

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

Fox Sports wcbk team header (one row).

Wraps wcbk/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.wbb import fox_wbb_team_header
df = fox_wbb_team_header("...")

fox_wbb_team_roster

fox_wbb_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]]"

WBB 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 position-group 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
team_id	character	Unique team identifier.
position_group	character
player	character	Player name.
pos	character	Position.
cls	character
ht	character	Listed height.
athlete_id	character	Unique athlete identifier (ESPN).

Example

from sportsdataverse.wbb import fox_wbb_team_roster
df = fox_wbb_team_roster("11")

fox_wbb_team_stats

fox_wbb_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]]"

WBB 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.

col_name	type	description
team_id	character	Unique team identifier.
category	character	Category label.
stat	character	Stat.
stat_abbreviation	character
player	character	Player name.
value	character	Numeric or string value field.

Example

from sportsdataverse.wbb import fox_wbb_team_stats
df = fox_wbb_team_stats("11")

fox_wbb_teamnav

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

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

Wraps wcbk/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; ids are league-specific, so a school can have different ids in the men's and women's feeds.
abbreviation	character	Short abbreviation.
name	character	Display name.
content_uri	character	Fox Bifrost content URI identifying the team, shaped 'basketball/wcbk/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 (e.g. '/womens-college-basketball/michigan-wolverines-team').
color	character	Primary color (hex without leading '#').
logo_url	character	NBA CDN primary logo URL.

Example

from sportsdataverse.wbb import fox_wbb_teamnav
df = fox_wbb_teamnav()

fox_wbb_teams

fox_wbb_teams(team_id: 'Union[int, str]' = '11', *, return_parsed: 'bool' = True, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame', Dict[str, Any]]"

WBB team directory (fox_team_id / fox_team_name / fox_section).

Derived from the seed team's standings endpoint, so a single call only covers that team's conference — see fox_wbb_teams_all for the full directory. This is the frame the wehoop WBB team crosswalk consumes.

Parameters

Parameter	Type	Default	Description
team_id	Union[int, str]	'11'	Seed Fox Bifrost team id whose conference standings are read. Defaults to "11" (UConn, Big East).
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.wbb import fox_wbb_teams
df = fox_wbb_teams("11")

fox_wbb_teams_all

fox_wbb_teams_all(max_id: 'int' = 500, max_calls: 'int' = 60, *, return_as_pandas: 'bool' = False, **kwargs: 'Any') -> "Union[pl.DataFrame, 'pd.DataFrame']"

Full WBB team directory by walking seed ids across conferences.

A single fox_wbb_teams call only returns the seed team's conference, so this walks candidate team ids (skipping ids already seen in an earlier conference) and unions the results, spending at most max_calls standings fetches. Mirrors R wehoop::fox_wbb_teams_all().

Parameters

Parameter	Type	Default	Description
max_id	int	500	Highest candidate team id to try. Defaults to 500.
max_calls	int	60	Budget of standings fetches. Defaults to 60.
return_as_pandas	bool	False	If True return a pandas DataFrame; otherwise polars.

Returns

A polars DataFrame (default) or pandas DataFrame, one row per team: fox_team_id / fox_team_name / fox_section.

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.wbb import fox_wbb_teams_all
df = fox_wbb_teams_all()