Women's college basketball — additional Python functions — Analytics: wbb_situational–wbb_team

wbb_situational_team

wbb_situational_team(seasons: 'int | list[int]', *, top_n: 'int' = 25, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's college team splits by situation: clutch, period, half, garbage time, score, venue, opponent, play type.

Delegates to sportsdataverse.mbb.mbb_situational.mbb_situational_team with league="womens".

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (2026 is 2025-26).
top_n	int	25	How many of the season's best teams by the published adj_em are vs_top.
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, team_id, family, split) with the columns of sportsdataverse.nba.nba_situational.nba_situational_team.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
team_id	Int64	ESPN team id of the team (Int64).
family	String	The split family: all, clutch, period, half, garbage, score, venue, opponent or play_type (college has no second-chance flag, so no chance family); within a family the splits add up to the all row.
split	String	The split: all; clutch / not_clutch; p1..p4 / ot (p1, p2 for halves); h1 / h2 / ot; garbage_time / not_garbage_time; leading / tied / trailing; home / away / neutral; vs_top / vs_rest; transition / half_court.
games	Int64	Games with at least one possession in the split (does not add up across a family).
minutes	Float64	Game-clock minutes of the split's possessions (seconds / 60).
seconds	Float64	Game-clock seconds of the split's possessions: each possession's start clock minus its end clock.
poss	Int64	Offensive possessions in the split.
opp_poss	Int64	Defensive possessions in the split.
pts	Int64	Points scored on the offensive possessions.
opp_pts	Int64	Points allowed on the defensive possessions.
plus_minus	Int64	Plus-minus over the split: pts - opp_pts.
off_rtg	Float64	Offensive rating: pts per 100 poss; null with no offensive possessions.
def_rtg	Float64	Defensive rating: opp_pts per 100 opp_poss; null with no defensive possessions.
net_rtg	Float64	Net rating: off_rtg - def_rtg; null when either is null.
off_rtg_n	Int64	Sample size of off_rtg: poss.
def_rtg_n	Int64	Sample size of def_rtg: opp_poss.
net_rtg_n	Int64	Sample size of net_rtg: poss + opp_poss.

Example

from sportsdataverse.wbb import wbb_situational_team
wbb_situational_team(2026).filter(split="clutch").sort("net_rtg", descending=True).head()

wbb_strength_of_schedule

wbb_strength_of_schedule(seasons: 'list[int]', *, as_of_date: 'datetime.date | None' = None, ineligible: 'Iterable[str] | None' = None, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's daily strength_of_schedule table: records, SoS, quad résumé, WAB, RPI and a NET estimate.

Delegates to sportsdataverse.mbb.mbb_strength_of_schedule.mbb_strength_of_schedule with league="womens" (WBB loaders, women's constants and quad ranges; RPI location weights from 2011-12).

Parameters

Parameter	Type	Default	Description
seasons	list[int]		Seasons to compute (e.g. [2024]).
as_of_date	date | None	None	Only use games strictly before this date; None uses every completed game.
ineligible	Iterable[str] | None	None	Team ids barred from the NCAA tournament (sets eligible); None (default) reads the bundled list for each season.
return_as_pandas	bool	False	Return a pandas DataFrame instead of polars.

Returns

One row per Division I (season, team_id) -- see the mbb core for the full contract.

col_name	type	description
season	Int64	Season, named by its end year (2024 is 2023-24).
as_of_date	Date	The as-of date: only games strictly before it count as played. Null when every completed game is used.
team_id	String	ESPN team id (Utf8).
team	String	Team (ESPN location name).
conference_id	String	ESPN conference id, read off the schedule (Utf8).
conference	String	Conference short name. Null for independents, which get no auto-bid.
eligible	Boolean	False for a team the caller listed as barred from the NCAA tournament (reclassifying to Division I, a postseason ban). It counts in every rating and résumé but gets no bid.
wins	Int64	Wins in played games, against every opponent (non-Division I included).
losses	Int64	Losses in played games, against every opponent.
conf_wins	Int64	Regular-season conference wins (conference tournaments and multi-team events excluded).
conf_losses	Int64	Regular-season conference losses.
games	Int64	Games behind the ratings (every played game with a usable box score).
adj_o	Float64	Opponent-adjusted offensive efficiency: points per 100 possessions (mbb_team_ratings).
adj_d	Float64	Opponent-adjusted defensive efficiency: points allowed per 100 possessions.
adj_em	Float64	Adjusted efficiency margin, adj_o - adj_d.
adj_em_z	Float64	adj_em z-scored over Division I within the season.
sos	Float64	Strength of schedule: mean opponent adj_em over Division I games.
wab	Float64	Wins above bubble: Division I wins minus a bubble-quality team's expected wins against the same schedule and venues.
quad1_w	Int64	Quad 1 wins over Division I opponents, by the opponent's NET-estimate rank and the venue (NCAA ranges, men's and women's differ).
quad1_l	Int64	Quad 1 losses to Division I opponents, by the same opponent rank and venue ranges.
quad2_w	Int64	Quad 2 wins over Division I opponents, by the opponent's NET-estimate rank and the venue (NCAA ranges, men's and women's differ).
quad2_l	Int64	Quad 2 losses to Division I opponents, by the same opponent rank and venue ranges.
quad3_w	Int64	Quad 3 wins over Division I opponents, by the opponent's NET-estimate rank and the venue (NCAA ranges, men's and women's differ).
quad3_l	Int64	Quad 3 losses to Division I opponents, by the same opponent rank and venue ranges.
quad4_w	Int64	Quad 4 wins over Division I opponents, by the opponent's NET-estimate rank and the venue (NCAA ranges, men's and women's differ).
quad4_l	Int64	Quad 4 losses to Division I opponents, by the same opponent rank and venue ranges.
quality_wins	Int64	Quad 1 plus Quad 2 wins.
rpi_games	Int64	Division I games behind the RPI.
rpi_wp	Float64	RPI winning percentage over Division I games, location weighted: a home win 0.6, a road win 1.4, a home loss 1.4, a road loss 0.6, neutral 1.0 (men's from 2004-05, women's from 2011-12).
rpi_owp	Float64	Opponents' winning percentage: each opponent's unweighted Division I record without its games against this team, averaged over this team's games.
rpi_oowp	Float64	Opponents' opponents' winning percentage: the opponents' rpi_owp averaged over this team's games.
rpi	Float64	NCAA Rating Percentage Index: 0.25 * rpi_wp + 0.50 * rpi_owp + 0.25 * rpi_oowp.
net_estimate	Float64	NET-style score: 0.8 * z(adj_em) + 0.2 * z(wab) within the season (the NET's efficiency and results halves; weights fitted to the men's 2024 NET). Higher is better.
adj_em_rank	Float64	Rank of adj_em within the season among Division I teams: 1 is best, average ties.
adj_em_pct	Float64	Percentile of adj_em within the season: 100 * (n + 1 - rank) / (n + 1).
adj_em_n	Int64	Sample size of adj_em: the games behind the ratings.
sos_rank	Float64	Rank of sos (1 = hardest schedule) within the season among Division I teams: 1 is best, average ties.
sos_pct	Float64	Percentile of sos within the season: 100 * (n + 1 - rank) / (n + 1).
sos_n	Int64	Sample size of sos: the team's Division I games.
wab_rank	Float64	Rank of wab within the season among Division I teams: 1 is best, average ties.
wab_pct	Float64	Percentile of wab within the season: 100 * (n + 1 - rank) / (n + 1).
wab_n	Int64	Sample size of wab: the team's Division I games.
rpi_rank	Float64	Rank of rpi within the season among Division I teams: 1 is best, average ties.
rpi_pct	Float64	Percentile of rpi within the season: 100 * (n + 1 - rank) / (n + 1).
rpi_n	Int64	Sample size of rpi: the team's Division I games.
net_estimate_rank	Float64	Rank of net_estimate (the NET-estimate ranking the quads use) within the season among Division I teams: 1 is best, average ties.
net_estimate_pct	Float64	Percentile of net_estimate within the season: 100 * (n + 1 - rank) / (n + 1).
net_estimate_n	Int64	Sample size of net_estimate: the team's Division I games.

Example

from sportsdataverse.wbb import wbb_strength_of_schedule
wbb_strength_of_schedule([2024]).sort("rpi_rank").head(20)

wbb_team_luck

wbb_team_luck(seasons: 'int | list[int]', *, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's college luck and close-game record: Pythagorean expected wins vs actual, close-game W-L.

Delegates to sportsdataverse.mbb.mbb_team_luck.mbb_team_luck with league="womens".

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (2025 is 2024-25).
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, team_id): games, wins, losses, pts, opp_pts, win_pct, pythag_win_pct, exp_wins, luck_wins, pbp_games, the close-game record and the _rank / _pct / _n columns. See the mbb core for the definitions.

col_name	type	description
season	Int64	Season, named by the year it ends (2025 is 2024-25).
team_id	Int64	ESPN team id. Non-D1 opponents get rows of their own (a game or two) and no ranks.
games	Int64	Games in the season's completed ESPN games, postseason included.
wins	Int64	Wins in the season's completed ESPN games, postseason included.
losses	Int64	Losses in the season's completed ESPN games, postseason included.
pts	Int64	Points scored in those games (final scores).
opp_pts	Int64	Points allowed in those games (final scores).
win_pct	Float64	Win fraction: wins divided by games, from the final scores.
pythag_win_pct	Float64	Pythagorean win fraction: pts^x / (pts^x + opp_pts^x), x = PYTHAG_EXPONENT['wbb'], fitted on past seasons by tools/fit_team_luck_pythag.py.
exp_wins	Float64	Expected wins: pythag_win_pct * games.
luck_wins	Float64	Luck in wins: wins minus exp_wins. Positive means the team won more games than its scoring says it should have.
pbp_games	Int64	Games with published possessions (ncaa_wbb_possessions); close_games is counted among these. A game whose late possessions are missing from the release counts as not close.
close_games	Int64	Close games: at least one possession in play with 5:00 or less left (starting there, or starting before 5:00 and ending after it) in the 4th quarter (the 2nd half before 2015-16) or an overtime, the score within 5 as that possession starts (stats.nba.com's clutch window; BB-D3's close split). The margin is the running sum of the possessions' points, so it can drift from the scoreboard: NBA 2025-26 agrees with an independent ESPN play-by-play recount on 1215 of 1229 games.
close_wins	Int64	Wins in close games.
close_losses	Int64	Losses in close games.
close_win_pct	Float64	close_wins / close_games; null with no close game.
pythag_win_pct_rank	Float64	Rank of pythag_win_pct within the season (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the season; null for a non-qualifier, a null value, or fewer than five qualifiers, or when every qualifier has the same value.
luck_wins_rank	Float64	Rank of luck_wins within the season (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the season; null for a non-qualifier, a null value, or fewer than five qualifiers, or when every qualifier has the same value.
close_win_pct_rank	Float64	Rank of close_win_pct within the season (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the season, have possessions for at least half their games and played at least five close games (MIN_CLOSE_GAMES); null otherwise, for a null value, or with fewer than five qualifiers, or when every qualifier has the same value.
pythag_win_pct_pct	Float64	Percentile of pythag_win_pct within the season among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
luck_wins_pct	Float64	Percentile of luck_wins within the season among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
close_win_pct_pct	Float64	Percentile of close_win_pct within the season among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
pythag_win_pct_n	Int64	Sample size of pythag_win_pct: games.
luck_wins_n	Int64	Sample size of luck_wins: games.
close_win_pct_n	Int64	Sample size of close_win_pct: close games.

Example

from sportsdataverse.wbb import wbb_team_luck
wbb_team_luck(2025).sort("luck_wins", descending=True).head()

wbb_team_season_flow

wbb_team_season_flow(seasons: 'int | list[int]', *, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's college game flow per team and season, with ranks, percentiles and _n.

Delegates to sportsdataverse.mbb.mbb_game_flow.mbb_team_season_flow with league="womens".

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (2026 is 2025-26).
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, team_id) with the columns of sportsdataverse.nba.nba_game_flow.nba_team_season_flow.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
team_id	Int64	ESPN team id; a non-D1 opponent has none and gets no row.
games	Int64	Games played (completed games of the season type).
wins	Int64	Games the team won among its completed games of the season type (pts > opp_pts).
trail_pct	Float64	Share of the team's game clock spent behind (sum trail_sec / sum game_seconds).
tied_pct	Float64	Share of the team's game clock spent tied.
lead_changes_pg	Float64	Lead changes per game.
times_tied_pg	Float64	Times tied per game.
largest_lead	Int64	The team's biggest lead of the season.
largest_comeback	Int64	The biggest deficit the team overcame in a win this season (0 if none).
max_run	Int64	The team's biggest n-0 run of the season.
runs_10	Int64	The team's runs of 10 or more unanswered points, summed over the season.
opp_runs_10	Int64	The opponents' runs of 10 or more unanswered points against the team, summed.
def_poss	Int64	Defensive possessions, summed.
stops	Int64	Stops (scoreless defensive possessions), summed.
kills	Int64	Kills (three straight stops), summed.
double_kills	Int64	Double kills (six straight stops), summed.
avg_margin	Float64	Game control: the score margin averaged over the season's game clock.
avg_wp	Float64	Game control: the in-game win probability averaged over the season's game clock.
lead_pct	Float64	Share of the team's game clock spent ahead (sum lead_sec / sum game_seconds).
runs_10_pg	Float64	The team's 10-0 (or better) runs per game.
opp_runs_10_pg	Float64	The opponents' 10-0 (or better) runs against the team per game.
avg_longest_drought_sec	Float64	The team's longest scoring drought, in seconds, averaged over its games.
stop_pct	Float64	stops / def_poss; null with no possessions.
kills_pg	Float64	Kills per game.
double_kills_pg	Float64	Double kills per game.
kills_per_100	Float64	Kills per 100 defensive possessions; null with no possessions.
avg_margin_rank	Float64	Rank of avg_margin within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
avg_wp_rank	Float64	Rank of avg_wp within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
lead_pct_rank	Float64	Rank of lead_pct within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
runs_10_pg_rank	Float64	Rank of runs_10_pg within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
opp_runs_10_pg_rank	Float64	Rank of opp_runs_10_pg within the season (the lowest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
avg_longest_drought_sec_rank	Float64	Rank of avg_longest_drought_sec within the season (the lowest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
stop_pct_rank	Float64	Rank of stop_pct within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
kills_pg_rank	Float64	Rank of kills_pg within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
double_kills_pg_rank	Float64	Rank of double_kills_pg within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
kills_per_100_rank	Float64	Rank of kills_per_100 within the season (the highest value ranks 1; ties average), among teams with at least half the season's most games; null for a non-qualifier, a null value, or fewer than five qualifiers.
avg_margin_pct	Float64	Percentile of avg_margin among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
avg_wp_pct	Float64	Percentile of avg_wp among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
lead_pct_pct	Float64	Percentile of lead_pct among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
runs_10_pg_pct	Float64	Percentile of runs_10_pg among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_runs_10_pg_pct	Float64	Percentile of opp_runs_10_pg among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
avg_longest_drought_sec_pct	Float64	Percentile of avg_longest_drought_sec among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
stop_pct_pct	Float64	Percentile of stop_pct among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
kills_pg_pct	Float64	Percentile of kills_pg among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
double_kills_pg_pct	Float64	Percentile of double_kills_pg among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
kills_per_100_pct	Float64	Percentile of kills_per_100 among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
avg_margin_n	Int64	Sample size of avg_margin: games.
avg_wp_n	Int64	Sample size of avg_wp: the games with a win probability.
lead_pct_n	Int64	Sample size of lead_pct: games.
runs_10_pg_n	Int64	Sample size of runs_10_pg: games.
opp_runs_10_pg_n	Int64	Sample size of opp_runs_10_pg: games.
avg_longest_drought_sec_n	Int64	Sample size of avg_longest_drought_sec: games.
stop_pct_n	Int64	Sample size of stop_pct: the teams defensive possessions.
kills_pg_n	Int64	Sample size of kills_pg: the games with published possessions.
double_kills_pg_n	Int64	Sample size of double_kills_pg: the games with published possessions.
kills_per_100_n	Int64	Sample size of kills_per_100: the teams defensive possessions.

Example

from sportsdataverse.wbb import wbb_team_season_flow
wbb_team_season_flow(2026).sort("kills_pg_rank").head()

wbb_team_season_rates

wbb_team_season_rates(seasons: 'int | list[int]', *, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's college season team rates from possessions, with home/away/close/clutch splits.

Delegates to sportsdataverse.mbb.mbb_team_season_rates.mbb_team_season_rates with league="womens". Clutch is a possession in play in the last 5:00 of the 4th quarter (the 2nd half before 2016) or an overtime, the score within 5 as it starts. That is one starting with 5:00 or less left, or the one live at the mark: a possession from 5:10 to 4:50 counts in full, one that ends exactly at 5:00 does not.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (2025 is 2024-25).
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, team_id, split): games, poss, opp_poss, pts, opp_pts, the twelve rates (off_rtg, def_rtg, net_rtg, pace, the four factors and the four against) and their _rank / _pct / _n. See the mbb core for the definitions.

col_name	type	description
season	Int64	Season, named by the year it ends (2025 is 2024-25).
team_id	Int64	ESPN team id. Non-D1 opponents have none and get no row.
split	String	Which possessions the row covers: all; home or away (the team's home or road games; neutral-site games are in neither); close (every possession of a game that had a clutch possession); clutch (a possession in play with 5:00 or less left (starting there, or starting before 5:00 and ending after it) in the 4th quarter (the 2nd half before 2016) or an overtime, the score within 5 as it starts).
games	Int64	Games with at least one possession in the split.
poss	Int64	Offensive possessions in the split, counted from possession rows.
opp_poss	Int64	Defensive possessions in the split (the opponents' offensive possessions).
pts	Int64	Points scored on the team's offensive possessions in the split.
opp_pts	Int64	Points allowed on the team's defensive possessions in the split.
off_rtg	Float64	Offensive rating: points scored per 100 offensive possessions.
def_rtg	Float64	Defensive rating: points allowed per 100 defensive possessions.
net_rtg	Float64	Net rating: off_rtg minus def_rtg.
pace	Float64	Pace: possessions per 40 minutes, the mean of poss and opp_poss over the game clock those possessions used.
efg_pct	Float64	Effective field-goal percentage, (FGM + 0.5 * 3PM) / FGA, as a fraction. Game-level, from the NCAA team box; null in the clutch split.
tov_pct	Float64	Turnovers per offensive possession, as a fraction. Game-level, from the NCAA team box; null in the clutch split.
orb_pct	Float64	Offensive rebound rate: offensive rebounds over offensive-rebound chances (own OREB plus the defense's DREB), as a fraction. Game-level, from the NCAA team box; null in the clutch split.
ft_rate	Float64	Free-throw rate, FTA / FGA. Game-level, from the NCAA team box; null in the clutch split.
opp_efg_pct	Float64	Opponents' effective field-goal percentage, (FGM + 0.5 * 3PM) / FGA, as a fraction. Game-level, from the NCAA team box; null in the clutch split.
opp_tov_pct	Float64	Opponents' turnovers per possession (turnovers forced), as a fraction. Game-level, from the NCAA team box; null in the clutch split.
opp_orb_pct	Float64	Opponents' offensive rebound rate, as a fraction (one minus the team's defensive rebound rate). Game-level, from the NCAA team box; null in the clutch split.
opp_ft_rate	Float64	Opponents' free-throw rate, FTA / FGA. Game-level, from the NCAA team box; null in the clutch split.
off_rtg_rank	Float64	Rank of off_rtg within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose off_rtg_n is at least 130 offensive possessions (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
def_rtg_rank	Float64	Rank of def_rtg within the season and split (the lowest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose def_rtg_n is at least 470 defensive possessions (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
net_rtg_rank	Float64	Rank of net_rtg within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose net_rtg_n is at least 360 possessions (offense plus defense) (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
pace_rank	Float64	Rank of pace within the season and split (the highest value ranks 1; pace has no better direction; ties average), among teams that played at least half the most games any team played in the split, whose pace_n is at least 3 games (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
efg_pct_rank	Float64	Rank of efg_pct within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose efg_pct_n is at least 230 field-goal attempts (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
tov_pct_rank	Float64	Rank of tov_pct within the season and split (the lowest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose tov_pct_n is at least 210 offensive possessions (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
orb_pct_rank	Float64	Rank of orb_pct within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose orb_pct_n is at least 160 offensive-rebound chances (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
ft_rate_rank	Float64	Rank of ft_rate within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose ft_rate_n is at least 550 field-goal attempts (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
opp_efg_pct_rank	Float64	Rank of opp_efg_pct within the season and split (the lowest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose opp_efg_pct_n is at least 600 opponent field-goal attempts (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
opp_tov_pct_rank	Float64	Rank of opp_tov_pct within the season and split (the highest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose opp_tov_pct_n is at least 300 defensive possessions (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
opp_orb_pct_rank	Float64	Rank of opp_orb_pct within the season and split (the lowest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose opp_orb_pct_n is at least 240 opponent offensive-rebound chances (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
opp_ft_rate_rank	Float64	Rank of opp_ft_rate within the season and split (the lowest value ranks 1; ties average), among teams that played at least half the most games any team played in the split, whose opp_ft_rate_n is at least 420 opponent field-goal attempts (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null for a non-qualifier, a sample under that gate, a null rate, or fewer than five qualifiers.
off_rtg_pct	Float64	Percentile of off_rtg within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
def_rtg_pct	Float64	Percentile of def_rtg within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
net_rtg_pct	Float64	Percentile of net_rtg within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
pace_pct	Float64	Percentile of pace within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
efg_pct_pct	Float64	Percentile of efg_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
tov_pct_pct	Float64	Percentile of tov_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
orb_pct_pct	Float64	Percentile of orb_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
ft_rate_pct	Float64	Percentile of ft_rate within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
opp_efg_pct_pct	Float64	Percentile of opp_efg_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
opp_tov_pct_pct	Float64	Percentile of opp_tov_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
opp_orb_pct_pct	Float64	Percentile of opp_orb_pct within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
opp_ft_rate_pct	Float64	Percentile of opp_ft_rate within the season and split among the same qualified teams: 100 * (n + 1 - rank) / (n + 1), n the number ranked, so the best team is under 100 and nobody is 0; null when the rank is null.
off_rtg_n	Int64	Sample size of off_rtg: the team's offensive possessions in the split.
def_rtg_n	Int64	Sample size of def_rtg: the team's defensive possessions in the split.
net_rtg_n	Int64	Sample size of net_rtg: the team's offensive plus defensive possessions in the split.
pace_n	Int64	Sample size of pace: the game clock the split's possessions used, in regulation games (48 minutes, 40 in the WNBA and college), rounded: a full game counts 1, a clutch split's five-minute windows about 0.1 each.
efg_pct_n	Int64	Sample size of efg_pct: the team's field-goal attempts in the split, 0 when the rate is null.
tov_pct_n	Int64	Sample size of tov_pct: the NCAA team box's possessions (o_poss) in the split, 0 when the rate is null.
orb_pct_n	Int64	Sample size of orb_pct: the team's offensive-rebound chances in the split, 0 when the rate is null.
ft_rate_n	Int64	Sample size of ft_rate: the team's field-goal attempts in the split, 0 when the rate is null.
opp_efg_pct_n	Int64	Sample size of opp_efg_pct: the opponents' field-goal attempts in the split, 0 when the rate is null.
opp_tov_pct_n	Int64	Sample size of opp_tov_pct: the opponents' NCAA team-box possessions in the split, 0 when the rate is null.
opp_orb_pct_n	Int64	Sample size of opp_orb_pct: the opponents' offensive-rebound chances in the split, 0 when the rate is null.
opp_ft_rate_n	Int64	Sample size of opp_ft_rate: the opponents' field-goal attempts in the split, 0 when the rate is null.

Example

from sportsdataverse.wbb import wbb_team_season_rates
wbb_team_season_rates(2025).filter(split="all").sort("net_rtg_rank").head()

wbb_team_shot_zones

wbb_team_shot_zones(seasons: 'int | list[int]', *, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

Women's college season shot profile by zone per team, for and allowed.

Delegates to sportsdataverse.mbb.mbb_shot_zone_profiles.mbb_team_shot_zones with league="womens".

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (2025 is 2024-25).
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, team_id): games, the team's zone profile and its opponents' (opp_), with the _n / _rank / _pct columns. See the mbb core for the definitions.

col_name	type	description
season	Int64	Season, named by the year it ends (2025 is 2024-25).
team_id	Int64	The team's ESPN team id (Int64).
games	Int64	The team's games with a field-goal attempt by or against it.
fga	Int64	Field-goal attempts by the team (games).
fgm	Int64	Field goals made by the team.
unlocated_fga	Int64	Attempts by the team with no real location (the WNBA's 1997-2010 hoop-centre placeholders; 0 elsewhere): counted in fga, in no zone.
rim_fga	Int64	Attempts by the team at the rim (within 4 ft, the shot chart's rim zone).
rim_fgm	Int64	Makes by the team at the rim (within 4 ft, the shot chart's rim zone).
rim_ast	Int64	Assisted makes by the team at the rim (within 4 ft, the shot chart's rim zone).
mid_fga	Int64	Attempts by the team in the mid zone (every other two: the chart's paint and mid-range).
mid_fgm	Int64	Makes by the team in the mid zone (every other two: the chart's paint and mid-range).
mid_ast	Int64	Assisted makes by the team in the mid zone (every other two: the chart's paint and mid-range).
corner_3_fga	Int64	Attempts by the team from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
corner_3_fgm	Int64	Makes by the team from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
corner_3_ast	Int64	Assisted makes by the team from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
above_break_3_fga	Int64	Attempts by the team from above the break (every other three).
above_break_3_fgm	Int64	Makes by the team from above the break (every other three).
above_break_3_ast	Int64	Assisted makes by the team from above the break (every other three).
opp_fga	Int64	Allowed: Field-goal attempts by the team's opponents (games).
opp_fgm	Int64	Allowed: Field goals made by the team's opponents.
opp_unlocated_fga	Int64	Allowed: Attempts by the team's opponents with no real location (the WNBA's 1997-2010 hoop-centre placeholders; 0 elsewhere): counted in opp_fga, in no zone.
opp_rim_fga	Int64	Allowed: Attempts by the team's opponents at the rim (within 4 ft, the shot chart's rim zone).
opp_rim_fgm	Int64	Allowed: Makes by the team's opponents at the rim (within 4 ft, the shot chart's rim zone).
opp_rim_ast	Int64	Allowed: Assisted makes by the team's opponents at the rim (within 4 ft, the shot chart's rim zone).
opp_mid_fga	Int64	Allowed: Attempts by the team's opponents in the mid zone (every other two: the chart's paint and mid-range).
opp_mid_fgm	Int64	Allowed: Makes by the team's opponents in the mid zone (every other two: the chart's paint and mid-range).
opp_mid_ast	Int64	Allowed: Assisted makes by the team's opponents in the mid zone (every other two: the chart's paint and mid-range).
opp_corner_3_fga	Int64	Allowed: Attempts by the team's opponents from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
opp_corner_3_fgm	Int64	Allowed: Makes by the team's opponents from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
opp_corner_3_ast	Int64	Allowed: Assisted makes by the team's opponents from the corner (a three with |x| >= 21 ft and |y| <= 9 ft, the baseline band).
opp_above_break_3_fga	Int64	Allowed: Attempts by the team's opponents from above the break (every other three).
opp_above_break_3_fgm	Int64	Allowed: Makes by the team's opponents from above the break (every other three).
opp_above_break_3_ast	Int64	Allowed: Assisted makes by the team's opponents from above the break (every other three).
rim_fg_pct	Float64	rim_fgm / rim_fga; null with no attempt.
rim_freq	Float64	rim_fga / (fga - unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
rim_ast_pct	Float64	Share of rim_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
mid_fg_pct	Float64	mid_fgm / mid_fga; null with no attempt.
mid_freq	Float64	mid_fga / (fga - unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
mid_ast_pct	Float64	Share of mid_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
corner_3_fg_pct	Float64	corner_3_fgm / corner_3_fga; null with no attempt.
corner_3_freq	Float64	corner_3_fga / (fga - unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
corner_3_ast_pct	Float64	Share of corner_3_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
above_break_3_fg_pct	Float64	above_break_3_fgm / above_break_3_fga; null with no attempt.
above_break_3_freq	Float64	above_break_3_fga / (fga - unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
above_break_3_ast_pct	Float64	Share of above_break_3_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
opp_rim_fg_pct	Float64	Allowed: opp_rim_fgm / opp_rim_fga; null with no attempt.
opp_rim_freq	Float64	Allowed: opp_rim_fga / (opp_fga - opp_unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
opp_rim_ast_pct	Float64	Allowed: Share of opp_rim_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
opp_mid_fg_pct	Float64	Allowed: opp_mid_fgm / opp_mid_fga; null with no attempt.
opp_mid_freq	Float64	Allowed: opp_mid_fga / (opp_fga - opp_unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
opp_mid_ast_pct	Float64	Allowed: Share of opp_mid_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
opp_corner_3_fg_pct	Float64	Allowed: opp_corner_3_fgm / opp_corner_3_fga; null with no attempt.
opp_corner_3_freq	Float64	Allowed: opp_corner_3_fga / (opp_fga - opp_unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
opp_corner_3_ast_pct	Float64	Allowed: Share of opp_corner_3_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
opp_above_break_3_fg_pct	Float64	Allowed: opp_above_break_3_fgm / opp_above_break_3_fga; null with no attempt.
opp_above_break_3_freq	Float64	Allowed: opp_above_break_3_fga / (opp_fga - opp_unlocated_fga): the zone's share of the located attempts (the four zones add up to 1); null with none.
opp_above_break_3_ast_pct	Float64	Allowed: Share of opp_above_break_3_fgm that were assisted, over the makes linked to a play-by-play row (whose assist is known); null with none.
rim_fg_pct_n	Int64	Sample size of rim_fg_pct: rim_fga.
rim_freq_n	Int64	Sample size of rim_freq: located attempts (fga - unlocated_fga).
rim_ast_pct_n	Int64	Sample size of rim_ast_pct: makes linked to a play-by-play row in the zone.
mid_fg_pct_n	Int64	Sample size of mid_fg_pct: mid_fga.
mid_freq_n	Int64	Sample size of mid_freq: located attempts (fga - unlocated_fga).
mid_ast_pct_n	Int64	Sample size of mid_ast_pct: makes linked to a play-by-play row in the zone.
corner_3_fg_pct_n	Int64	Sample size of corner_3_fg_pct: corner_3_fga.
corner_3_freq_n	Int64	Sample size of corner_3_freq: located attempts (fga - unlocated_fga).
corner_3_ast_pct_n	Int64	Sample size of corner_3_ast_pct: makes linked to a play-by-play row in the zone.
above_break_3_fg_pct_n	Int64	Sample size of above_break_3_fg_pct: above_break_3_fga.
above_break_3_freq_n	Int64	Sample size of above_break_3_freq: located attempts (fga - unlocated_fga).
above_break_3_ast_pct_n	Int64	Sample size of above_break_3_ast_pct: makes linked to a play-by-play row in the zone.
opp_rim_fg_pct_n	Int64	Sample size of opp_rim_fg_pct: opp_rim_fga.
opp_rim_freq_n	Int64	Sample size of opp_rim_freq: located attempts (opp_fga - opp_unlocated_fga).
opp_rim_ast_pct_n	Int64	Sample size of opp_rim_ast_pct: makes linked to a play-by-play row in the zone.
opp_mid_fg_pct_n	Int64	Sample size of opp_mid_fg_pct: opp_mid_fga.
opp_mid_freq_n	Int64	Sample size of opp_mid_freq: located attempts (opp_fga - opp_unlocated_fga).
opp_mid_ast_pct_n	Int64	Sample size of opp_mid_ast_pct: makes linked to a play-by-play row in the zone.
opp_corner_3_fg_pct_n	Int64	Sample size of opp_corner_3_fg_pct: opp_corner_3_fga.
opp_corner_3_freq_n	Int64	Sample size of opp_corner_3_freq: located attempts (opp_fga - opp_unlocated_fga).
opp_corner_3_ast_pct_n	Int64	Sample size of opp_corner_3_ast_pct: makes linked to a play-by-play row in the zone.
opp_above_break_3_fg_pct_n	Int64	Sample size of opp_above_break_3_fg_pct: opp_above_break_3_fga.
opp_above_break_3_freq_n	Int64	Sample size of opp_above_break_3_freq: located attempts (opp_fga - opp_unlocated_fga).
opp_above_break_3_ast_pct_n	Int64	Sample size of opp_above_break_3_ast_pct: makes linked to a play-by-play row in the zone.
rim_fg_pct_rank	Float64	Rank of rim_fg_pct within the season (the highest ranks 1; ties average), among teams whose rim_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
rim_freq_rank	Float64	Rank of rim_freq within the season (the highest ranks 1; ties average), among teams whose rim_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
rim_ast_pct_rank	Float64	Rank of rim_ast_pct within the season (the highest ranks 1; ties average), among teams whose rim_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
mid_fg_pct_rank	Float64	Rank of mid_fg_pct within the season (the highest ranks 1; ties average), among teams whose mid_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
mid_freq_rank	Float64	Rank of mid_freq within the season (the highest ranks 1; ties average), among teams whose mid_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
mid_ast_pct_rank	Float64	Rank of mid_ast_pct within the season (the highest ranks 1; ties average), among teams whose mid_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
corner_3_fg_pct_rank	Float64	Rank of corner_3_fg_pct within the season (the highest ranks 1; ties average), among teams whose corner_3_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
corner_3_freq_rank	Float64	Rank of corner_3_freq within the season (the highest ranks 1; ties average), among teams whose corner_3_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
corner_3_ast_pct_rank	Float64	Rank of corner_3_ast_pct within the season (the highest ranks 1; ties average), among teams whose corner_3_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
above_break_3_fg_pct_rank	Float64	Rank of above_break_3_fg_pct within the season (the highest ranks 1; ties average), among teams whose above_break_3_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
above_break_3_freq_rank	Float64	Rank of above_break_3_freq within the season (the highest ranks 1; ties average), among teams whose above_break_3_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
above_break_3_ast_pct_rank	Float64	Rank of above_break_3_ast_pct within the season (the highest ranks 1; ties average), among teams whose above_break_3_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_rim_fg_pct_rank	Float64	Rank of opp_rim_fg_pct within the season (the lowest ranks 1, the stingiest defense; ties average), among teams whose opp_rim_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_rim_freq_rank	Float64	Rank of opp_rim_freq within the season (the highest ranks 1; ties average), among teams whose opp_rim_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_rim_ast_pct_rank	Float64	Rank of opp_rim_ast_pct within the season (the highest ranks 1; ties average), among teams whose opp_rim_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_mid_fg_pct_rank	Float64	Rank of opp_mid_fg_pct within the season (the lowest ranks 1, the stingiest defense; ties average), among teams whose opp_mid_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_mid_freq_rank	Float64	Rank of opp_mid_freq within the season (the highest ranks 1; ties average), among teams whose opp_mid_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_mid_ast_pct_rank	Float64	Rank of opp_mid_ast_pct within the season (the highest ranks 1; ties average), among teams whose opp_mid_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_corner_3_fg_pct_rank	Float64	Rank of opp_corner_3_fg_pct within the season (the lowest ranks 1, the stingiest defense; ties average), among teams whose opp_corner_3_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_corner_3_freq_rank	Float64	Rank of opp_corner_3_freq within the season (the highest ranks 1; ties average), among teams whose opp_corner_3_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_corner_3_ast_pct_rank	Float64	Rank of opp_corner_3_ast_pct within the season (the highest ranks 1; ties average), among teams whose opp_corner_3_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_above_break_3_fg_pct_rank	Float64	Rank of opp_above_break_3_fg_pct within the season (the lowest ranks 1, the stingiest defense; ties average), among teams whose opp_above_break_3_fg_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_above_break_3_freq_rank	Float64	Rank of opp_above_break_3_freq within the season (the highest ranks 1; ties average), among teams whose opp_above_break_3_freq_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
opp_above_break_3_ast_pct_rank	Float64	Rank of opp_above_break_3_ast_pct within the season (the highest ranks 1; ties average), among teams whose opp_above_break_3_ast_pct_n reaches the rate's split-half gate (TEAM_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than five teams ranked.
rim_fg_pct_pct	Float64	Percentile of rim_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
rim_freq_pct	Float64	Percentile of rim_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
rim_ast_pct_pct	Float64	Percentile of rim_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
mid_fg_pct_pct	Float64	Percentile of mid_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
mid_freq_pct	Float64	Percentile of mid_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
mid_ast_pct_pct	Float64	Percentile of mid_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
corner_3_fg_pct_pct	Float64	Percentile of corner_3_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
corner_3_freq_pct	Float64	Percentile of corner_3_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
corner_3_ast_pct_pct	Float64	Percentile of corner_3_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
above_break_3_fg_pct_pct	Float64	Percentile of above_break_3_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
above_break_3_freq_pct	Float64	Percentile of above_break_3_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
above_break_3_ast_pct_pct	Float64	Percentile of above_break_3_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_rim_fg_pct_pct	Float64	Percentile of opp_rim_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_rim_freq_pct	Float64	Percentile of opp_rim_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_rim_ast_pct_pct	Float64	Percentile of opp_rim_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_mid_fg_pct_pct	Float64	Percentile of opp_mid_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_mid_freq_pct	Float64	Percentile of opp_mid_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_mid_ast_pct_pct	Float64	Percentile of opp_mid_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_corner_3_fg_pct_pct	Float64	Percentile of opp_corner_3_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_corner_3_freq_pct	Float64	Percentile of opp_corner_3_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_corner_3_ast_pct_pct	Float64	Percentile of opp_corner_3_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_above_break_3_fg_pct_pct	Float64	Percentile of opp_above_break_3_fg_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_above_break_3_freq_pct	Float64	Percentile of opp_above_break_3_freq within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_above_break_3_ast_pct_pct	Float64	Percentile of opp_above_break_3_ast_pct within the season among the same ranked rows: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.

Example

from sportsdataverse.wbb import wbb_team_shot_zones
wbb_team_shot_zones(2025).sort("opp_rim_freq").head()