WNBA — additional Python functions — Analytics: wnba_game–wnba_player

wnba_game_units

wnba_game_units(seasons: 'int | list[int]', *, league_id: 'str' = '10', return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA in-game units (league_id='10'). See sportsdataverse.nba.nba_game_stints.nba_game_units.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]
league_id	str	'10'
return_as_pandas	bool	False

Returns

One row per (season, game_id, team_id, n_players, lineup_id): opp_team_id, n_players (1 to 5), lineup_id (the player ids sorted and joined with -), player_1..5, minutes / seconds, poss / opp_poss, pts / opp_pts, plus_minus, off_rtg / def_rtg / net_rtg (per 100 possessions), the four factors for (efg_pct, tov_pct, orb_pct, ft_rate) and against (opp_*), the shot zones for and against (rim_rate, mid_rate, fg3_rate shares of field-goal attempts, rim_pct, mid_pct, fg3_pct make rates, opp_*) as fractions, and every rate's <m>_n. Empty input returns that schema with zero rows.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
game_id	String	stats.nba.com game id (e.g. 0022500101).
team_id	Int64	stats.nba.com team id.
opp_team_id	Int64	The opponent's team id.
n_players	Int64	Unit size: 1 to 5 players.
lineup_id	String	The unit's player ids, sorted and joined with '-'.
player_1	Int64	Player 1 of the unit, in lineup_id order; null past n_players.
player_2	Int64	Player 2 of the unit, in lineup_id order; null past n_players.
player_3	Int64	Player 3 of the unit, in lineup_id order; null past n_players.
player_4	Int64	Player 4 of the unit, in lineup_id order; null past n_players.
player_5	Int64	Player 5 of the unit, in lineup_id order; null past n_players.
minutes	Float64	Game-clock minutes the unit's players were all on the floor together (seconds / 60).
seconds	Float64	Game-clock seconds the unit's players were all on the floor together.
poss	Int64	Offensive possessions with the unit on the floor (a possession counts for the five on the floor when it starts).
opp_poss	Int64	Defensive possessions with the unit on the floor, counted as poss is.
pts	Int64	The team's points with the unit on the floor, each scoring action credited to the lineup at that action (a free throw to the lineup at the last foul).
opp_pts	Int64	The opponent's points with the unit on the floor, credited as pts is.
plus_minus	Int64	The unit's +/- in the game: pts - opp_pts.
off_rtg	Float64	Offensive rating: pts per 100 poss. Null with a zero denominator.
def_rtg	Float64	Defensive rating: opp_pts per 100 opp_poss. Null with a zero denominator.
net_rtg	Float64	Net rating: off_rtg - def_rtg; null when either is null.
efg_pct	Float64	Effective field-goal percentage, (FGM + 0.5 * 3PM) / FGA, as a fraction. Null with a zero denominator.
tov_pct	Float64	Turnovers per offensive possession, as a fraction. Null with a zero denominator.
orb_pct	Float64	Offensive-rebound rate: own offensive rebounds over own offensive rebounds plus the opponent's defensive rebounds. Null with a zero denominator.
ft_rate	Float64	Free-throw rate: FTA / FGA. Null with a zero denominator.
opp_efg_pct	Float64	The opponent's effective field-goal percentage with the unit on the floor. Null with a zero denominator.
opp_tov_pct	Float64	The opponent's turnovers per defensive possession, as a fraction. Null with a zero denominator.
opp_orb_pct	Float64	The opponent's offensive-rebound rate with the unit on the floor. Null with a zero denominator.
opp_ft_rate	Float64	The opponent's free-throw rate: FTA / FGA. Null with a zero denominator.
rim_rate	Float64	Share of the unit's field-goal attempts at the rim (a two under 4 feet). Null with a zero denominator.
mid_rate	Float64	Share of the unit's field-goal attempts that are other twos (mid-range). Null with a zero denominator.
fg3_rate	Float64	Share of the unit's field-goal attempts that are threes. Null with a zero denominator.
rim_pct	Float64	Field-goal percentage at the rim, as a fraction. Null with a zero denominator.
mid_pct	Float64	Mid-range field-goal percentage, as a fraction. Null with a zero denominator.
fg3_pct	Float64	Three-point percentage, as a fraction. Null with a zero denominator.
opp_rim_rate	Float64	Share of the opponent's field-goal attempts at the rim with the unit on the floor. Null with a zero denominator.
opp_mid_rate	Float64	Share of the opponent's field-goal attempts that are mid-range twos. Null with a zero denominator.
opp_fg3_rate	Float64	Share of the opponent's field-goal attempts that are threes. Null with a zero denominator.
opp_rim_pct	Float64	The opponent's field-goal percentage at the rim. Null with a zero denominator.
opp_mid_pct	Float64	The opponent's mid-range field-goal percentage with the unit on the floor. Null with a zero denominator.
opp_fg3_pct	Float64	The opponent's three-point percentage with the unit on the floor. Null with a zero denominator.
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.
efg_pct_n	Int64	Sample size of efg_pct: the unit's field-goal attempts.
tov_pct_n	Int64	Sample size of tov_pct: poss.
orb_pct_n	Int64	Sample size of orb_pct: the unit's offensive-rebound chances.
ft_rate_n	Int64	Sample size of ft_rate: the unit's field-goal attempts.
opp_efg_pct_n	Int64	Sample size of opp_efg_pct: the opponent's field-goal attempts.
opp_tov_pct_n	Int64	Sample size of opp_tov_pct: opp_poss.
opp_orb_pct_n	Int64	Sample size of opp_orb_pct: the opponent's offensive-rebound chances.
opp_ft_rate_n	Int64	Sample size of opp_ft_rate: the opponent's field-goal attempts.
rim_rate_n	Int64	Sample size of rim_rate: the unit's field-goal attempts.
mid_rate_n	Int64	Sample size of mid_rate: the unit's field-goal attempts.
fg3_rate_n	Int64	Sample size of fg3_rate: the unit's field-goal attempts.
rim_pct_n	Int64	Sample size of rim_pct: the unit's rim attempts.
mid_pct_n	Int64	Sample size of mid_pct: the unit's mid-range attempts.
fg3_pct_n	Int64	Sample size of fg3_pct: the unit's three-point attempts.
opp_rim_rate_n	Int64	Sample size of opp_rim_rate: the opponent's field-goal attempts.
opp_mid_rate_n	Int64	Sample size of opp_mid_rate: the opponent's field-goal attempts.
opp_fg3_rate_n	Int64	Sample size of opp_fg3_rate: the opponent's field-goal attempts.
opp_rim_pct_n	Int64	Sample size of opp_rim_pct: the opponent's rim attempts.
opp_mid_pct_n	Int64	Sample size of opp_mid_pct: the opponent's mid-range attempts.
opp_fg3_pct_n	Int64	Sample size of opp_fg3_pct: the opponent's three-point attempts.

wnba_lineup_seasons

wnba_lineup_seasons(seasons: 'int | list[int]', *, league_id: 'str' = '10', season_type: 'str' = 'regular-season', min_poss: 'int | None' = None, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA lineup seasons (league_id='10'). See sportsdataverse.nba.nba_lineup_seasons.nba_lineup_seasons.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]
league_id	str	'10'
season_type	str	'regular-season'
min_poss	int | None	None
return_as_pandas	bool	False

Returns

One row per (season, team_id, n_players, lineup_id): n_players (2, 3 or 5), lineup_id (the player ids sorted and joined with -), player_1..5, minutes, poss / opp_poss, pts / opp_pts, plus_minus, off_rtg / def_rtg / net_rtg (per 100 possessions), the four factors for (efg_pct, tov_pct, orb_pct, ft_rate) and against (opp_*) as fractions, and for every rate <m>_rank / <m>_pct (within the season and unit size, among units with at least min_poss) and <m>_n. Ids are the stats.nba.com ids (Int64). Empty input returns that schema with zero rows.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
team_id	Int64	stats.nba.com team id.
n_players	Int64	Unit size: 2, 3 or 5 players.
lineup_id	String	The unit's stats.nba.com player ids, sorted numerically and joined with '-'.
player_1	Int64	Player 1 of the unit, in lineup_id order; null past n_players.
player_2	Int64	Player 2 of the unit, in lineup_id order; null past n_players.
player_3	Int64	Player 3 of the unit, in lineup_id order; null past n_players.
player_4	Int64	Player 4 of the unit, in lineup_id order; null past n_players.
player_5	Int64	Player 5 of the unit, in lineup_id order; null past n_players.
minutes	Float64	Game-clock minutes the unit shared the floor over the season.
poss	Int64	Offensive possessions with the unit on the floor (a possession counts for the five on the floor when it starts; a 2- or 3-man unit sums the fives that contain it).
opp_poss	Int64	Defensive possessions with the unit on the floor, counted as poss is.
pts	Int64	The team's points with the unit on the floor, each scoring action credited to the lineup at that action (a free throw to the lineup at the last foul).
opp_pts	Int64	The opponent's points with the unit on the floor, credited as pts is.
plus_minus	Int64	The unit's +/- over the season: pts - opp_pts.
off_rtg	Float64	Offensive rating: pts per 100 poss. Null with a zero denominator.
def_rtg	Float64	Defensive rating: opp_pts per 100 opp_poss. Null with a zero denominator.
net_rtg	Float64	Net rating: off_rtg - def_rtg; null when either is null.
efg_pct	Float64	Effective field-goal percentage, (FGM + 0.5 * 3PM) / FGA, as a fraction. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
tov_pct	Float64	Turnovers per offensive possession, as a fraction. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
orb_pct	Float64	Offensive-rebound rate: OREB / (OREB + the opponent's DREB), as a fraction. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
ft_rate	Float64	Free-throw rate: FTA / FGA. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
opp_efg_pct	Float64	The opponent's effective field-goal percentage with the unit on the floor. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
opp_tov_pct	Float64	The opponent's turnovers per defensive possession. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
opp_orb_pct	Float64	The opponent's offensive-rebound rate: its OREB / (its OREB + the unit's DREB). Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
opp_ft_rate	Float64	The opponent's free-throw rate: FTA / FGA. Null with a zero denominator. Each possession's shots, free throws, rebounds and turnovers count for the lineup that started it, even after a substitution inside it.
off_rtg_rank	Float64	Rank of off_rtg within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose off_rtg_n is at least 660 offensive 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
def_rtg_rank	Float64	Rank of def_rtg within the season and unit size, league-wide (the lowest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose def_rtg_n is at least 810 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
net_rtg_rank	Float64	Rank of net_rtg within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose net_rtg_n is at least 840 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
efg_pct_rank	Float64	Rank of efg_pct within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose efg_pct_n is at least 750 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
tov_pct_rank	Float64	Rank of tov_pct within the season and unit size, league-wide (the lowest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose tov_pct_n is at least 1,100 offensive 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
orb_pct_rank	Float64	Rank of orb_pct within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose orb_pct_n is at least 220 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
ft_rate_rank	Float64	Rank of ft_rate within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose ft_rate_n is at least 720 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
opp_efg_pct_rank	Float64	Rank of opp_efg_pct within the season and unit size, league-wide (the lowest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose opp_efg_pct_n is at least 1,300 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
opp_tov_pct_rank	Float64	Rank of opp_tov_pct within the season and unit size, league-wide (the highest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose opp_tov_pct_n is at least 350 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
opp_orb_pct_rank	Float64	Rank of opp_orb_pct within the season and unit size, league-wide (the lowest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose opp_orb_pct_n is at least 860 opponent offensive-rebound chances (the sample at which the rate is half signal, rate_gates); null for a non-qualifier, a sample under that gate or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
opp_ft_rate_rank	Float64	Rank of opp_ft_rate within the season and unit size, league-wide (the lowest value ranks 1; ties average), among units with at least min_poss possessions (poss + opp_poss; default 400 with league_id '00' (NBA), 200 with league_id '10' (WNBA)), whose opp_ft_rate_n is at least 880 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 or a null rate, and for every unit of the group when fewer than ten qualifying units have a finite value of this rate or they all share one value.
off_rtg_pct	Float64	Percentile of off_rtg among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
def_rtg_pct	Float64	Percentile of def_rtg among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
net_rtg_pct	Float64	Percentile of net_rtg among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
efg_pct_pct	Float64	Percentile of efg_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
tov_pct_pct	Float64	Percentile of tov_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
orb_pct_pct	Float64	Percentile of orb_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
ft_rate_pct	Float64	Percentile of ft_rate among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_efg_pct_pct	Float64	Percentile of opp_efg_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_tov_pct_pct	Float64	Percentile of opp_tov_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_orb_pct_pct	Float64	Percentile of opp_orb_pct among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank is null.
opp_ft_rate_pct	Float64	Percentile of opp_ft_rate among the same qualified units: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null when the rank 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.
efg_pct_n	Int64	Sample size of efg_pct: the unit's field-goal attempts.
tov_pct_n	Int64	Sample size of tov_pct: poss.
orb_pct_n	Int64	Sample size of orb_pct: the unit's offensive-rebound chances.
ft_rate_n	Int64	Sample size of ft_rate: the unit's field-goal attempts.
opp_efg_pct_n	Int64	Sample size of opp_efg_pct: the opponent's field-goal attempts.
opp_tov_pct_n	Int64	Sample size of opp_tov_pct: opp_poss.
opp_orb_pct_n	Int64	Sample size of opp_orb_pct: the opponent's offensive-rebound chances.
opp_ft_rate_n	Int64	Sample size of opp_ft_rate: the opponent's field-goal attempts.

wnba_matchup_drapm

wnba_matchup_drapm(season: 'str', *, matchups: "'Optional[pl.DataFrame]'" = None, config: "'Optional[PlaytypeConfig]'" = None, return_as_pandas: 'bool' = False) -> "'Union[pl.DataFrame, pd.DataFrame]'"

WNBA matchup defensive RAPM (league_id="10").

Thin wrapper binding sportsdataverse.nba.nba_matchup_drapm.nba_matchup_drapm to the women's league.

Parameters

Parameter	Type	Default	Description
season	str		Season string, e.g. "2024".
matchups	Optional[DataFrame]	None	Injected nba_stats_leagueseasonmatchups-shaped frame.
config	Optional[PlaytypeConfig]	None	~sportsdataverse.nba.nba_playtype_constants.PlaytypeConfig override.
return_as_pandas	bool	False	Return a pandas DataFrame instead of polars.

Returns

Same schema as sportsdataverse.nba.nba_matchup_drapm.nba_matchup_drapm.

No returns table is published for this function: no capture: it reads stats.nba.com (WNBA league id 10), which answers HTTP 403 to the datacenter IP the docs are built on; the function works from a residential IP.

Example

from sportsdataverse.wnba import wnba_matchup_drapm
d = wnba_matchup_drapm("2024")
print(d.sort("matchup_drapm", descending=True).head())

wnba_official_seasons

wnba_official_seasons(seasons: 'int | list[int]', *, season_type: 'int | None' = 2, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA official season profiles: games, fouls and FTA per game, pace and home splits.

One row per official and season over the completed games of season_type the official worked. fouls_per_game and fta_per_game are both teams' totals from ESPN's team box; pace is possessions (FGA - ORB + TOV + 0.44 FTA, averaged over the two teams) per 40 minutes, over the games' minutes including overtime; home_win_pct and home_minus_away_fouls (home fouls less away fouls, per game) leave out neutral-site games. Every rate has <m>_n, the games it is computed over. The release keys officials by ESPN's official_id.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]		A season or list of seasons, named by the year it ends (the WNBA season is its calendar year).
season_type	int | None	2	ESPN's season type: 2 regular season (default), 3 postseason; None keeps every type.
return_as_pandas	bool	False	Return a pandas frame instead of polars.

Returns

One row per (season, official): season, official_id (Int64), official_name, games, fouls_per_game, fta_per_game, pace, home_win_pct and home_minus_away_fouls, each rate with its _n. A season without an officials release returns that schema with zero rows.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
official_id	Int64	ESPN official id where the officials release carries one (WNBA, WBB); null where it has names only (NBA, MBB).
official_name	String	Official's name, whitespace-normalised; the key when official_id is null.
games	Int64	Completed games of the season type the officials table lists the official on.
fouls_per_game	Float64	Both teams' fouls per game (ESPN team box fouls), over fouls_per_game_n games.
fouls_per_game_n	Int64	Games with a two-team box behind fouls_per_game.
fta_per_game	Float64	Both teams' free-throw attempts per game, over fta_per_game_n games.
fta_per_game_n	Int64	Games with a two-team box behind fta_per_game.
pace	Float64	Possessions (FGA - ORB + TOV + 0.44 FTA, averaged over the two teams) per regulation length (48 minutes NBA, 40 otherwise), over the games' minutes including overtime.
pace_n	Int64	Games with a box possession estimate and a known last period behind pace.
home_win_pct	Float64	Share of the official's non-neutral-site games with a recorded winner that the home team won.
home_win_pct_n	Int64	Non-neutral-site games with a recorded home winner behind home_win_pct.
home_minus_away_fouls	Float64	Home team's fouls minus the away team's, per non-neutral-site game.
home_minus_away_fouls_n	Int64	Non-neutral-site games with a two-team box behind home_minus_away_fouls.

Example

from sportsdataverse.wnba.wnba_official_seasons import wnba_official_seasons
refs = wnba_official_seasons(2025)
refs.sort("fouls_per_game", descending=True).select("official_name", "games", "fouls_per_game").head()

wnba_player_factor_rapm

wnba_player_factor_rapm(seasons: 'int | list[int]', *, league_id: 'str' = '10', season_type: 'str' = 'regular-season', min_poss: 'int | None' = None, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA four-factor RAPM split (league_id='10'). See sportsdataverse.nba.nba_player_factor_rapm.nba_player_factor_rapm.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]
league_id	str	'10'
season_type	str	'regular-season'
min_poss	int | None	None
return_as_pandas	bool	False

Returns

One row per (season, player_id): off_poss / def_poss, rapm / o_rapm / d_rapm, the ten components (the four factors and the remainder, each way; per 100 possessions, higher is better), <m>_rank / <m>_pct within the season among players with at least min_poss possessions, <m>_se (clustered by game), <m>_n, and the pts_per_fga and ridge_alpha of the fit. Ids are the stats.nba.com ids (Int64). Empty input returns that schema with zero rows.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
player_id	Int64	stats.nba.com player id.
off_poss	Int64	Offensive possessions the player was on the floor for (with all ten lineup slots and counts known).
def_poss	Int64	Defensive possessions the player was on the floor for (with all ten lineup slots and counts known).
rapm	Float64	Plain RAPM per 100 possessions: o_rapm + d_rapm.
o_rapm	Float64	Offensive plain RAPM per 100 possessions (nba_rapm's single-season ridge, shrunk to zero); equals o_efg_rapm + o_tov_rapm + o_orb_rapm + o_ftr_rapm + o_other_rapm. Equals wnba_player_impact's (2024, 2025: to 1e-11).
d_rapm	Float64	Defensive plain RAPM per 100 possessions, sign-flipped so higher is better; equals d_efg_rapm + d_tov_rapm + d_drb_rapm + d_ftr_rapm + d_other_rapm. Equals wnba_player_impact's (2024, 2025: to 1e-11).
o_efg_rapm	Float64	Offensive shooting (eFG) component of o_rapm: the ridge fit to field-goal points less pts_per_fga per attempt, per 100 offensive possessions.
o_tov_rapm	Float64	Offensive turnover component of o_rapm: the ridge fit to -pts_per_fga per turnover, per 100 offensive possessions (positive = fewer turnovers).
o_orb_rapm	Float64	Offensive rebounding component of o_rapm: the ridge fit to +pts_per_fga per offensive rebound, per 100 offensive possessions.
o_ftr_rapm	Float64	Offensive free-throw component of o_rapm, on possessions with a free-throw attempt: the ridge fit to free-throw points less pts_per_fga per chance that ended in neither a shot nor a turnover (FT rate and FT%), per 100 offensive possessions.
o_other_rapm	Float64	Offensive remainder of o_rapm (bookkeeping, not a skill): the ridge fit to what the four factors leave of points - pts_per_fga, i.e. -pts_per_fga per chance with no shot, turnover or free throw (a period running out) and +pts_per_fga per shot or turnover beyond the recorded chances (an unrecorded offensive rebound); non-zero on about 1% of possessions.
d_efg_rapm	Float64	Defensive shooting (opponent eFG) component of d_rapm, per 100 possessions, sign-flipped so higher is better: positive = the opponent shoots worse.
d_tov_rapm	Float64	Defensive turnover component of d_rapm, per 100 possessions, sign-flipped so higher is better: positive = forces more turnovers.
d_drb_rapm	Float64	Defensive rebounding component of d_rapm, per 100 possessions, sign-flipped so higher is better: positive = fewer opponent offensive rebounds.
d_ftr_rapm	Float64	Defensive free-throw component of d_rapm, per 100 possessions, sign-flipped so higher is better: positive = fewer opponent free-throw points.
d_other_rapm	Float64	Defensive remainder of d_rapm (bookkeeping, not a skill), per 100 possessions, sign-flipped so higher is better: the opponent's o_other part.
rapm_rank	Float64	Rank of rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) rapm repeats at Spearman 0.374, so single-season ranks are noisy.
rapm_pct	Float64	Percentile of rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) rapm repeats at Spearman 0.374, so single-season ranks are noisy.
o_rapm_rank	Float64	Rank of o_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_rapm repeats at Spearman 0.352, so single-season ranks are noisy.
o_rapm_pct	Float64	Percentile of o_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_rapm repeats at Spearman 0.352, so single-season ranks are noisy.
d_rapm_rank	Float64	Rank of d_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_rapm repeats at Spearman 0.163, so single-season ranks are noisy.
d_rapm_pct	Float64	Percentile of d_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_rapm repeats at Spearman 0.163, so single-season ranks are noisy.
o_efg_rapm_rank	Float64	Rank of o_efg_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_efg_rapm repeats at Spearman 0.304, so single-season ranks are noisy.
o_efg_rapm_pct	Float64	Percentile of o_efg_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_efg_rapm repeats at Spearman 0.304, so single-season ranks are noisy.
o_tov_rapm_rank	Float64	Rank of o_tov_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_tov_rapm repeats at Spearman 0.357, so single-season ranks are noisy.
o_tov_rapm_pct	Float64	Percentile of o_tov_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_tov_rapm repeats at Spearman 0.357, so single-season ranks are noisy.
o_orb_rapm_rank	Float64	Rank of o_orb_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_orb_rapm repeats at Spearman 0.307, so single-season ranks are noisy.
o_orb_rapm_pct	Float64	Percentile of o_orb_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_orb_rapm repeats at Spearman 0.307, so single-season ranks are noisy.
o_ftr_rapm_rank	Float64	Rank of o_ftr_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_ftr_rapm repeats at Spearman 0.391, so single-season ranks are noisy.
o_ftr_rapm_pct	Float64	Percentile of o_ftr_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_ftr_rapm repeats at Spearman 0.391, so single-season ranks are noisy.
o_other_rapm_rank	Float64	Rank of o_other_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_other_rapm repeats at Spearman 0.157, so single-season ranks are noisy.
o_other_rapm_pct	Float64	Percentile of o_other_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) o_other_rapm repeats at Spearman 0.157, so single-season ranks are noisy.
d_efg_rapm_rank	Float64	Rank of d_efg_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_efg_rapm repeats at Spearman 0.128, so single-season ranks are noisy.
d_efg_rapm_pct	Float64	Percentile of d_efg_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_efg_rapm repeats at Spearman 0.128, so single-season ranks are noisy.
d_tov_rapm_rank	Float64	Rank of d_tov_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_tov_rapm repeats at Spearman 0.337, so single-season ranks are noisy.
d_tov_rapm_pct	Float64	Percentile of d_tov_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_tov_rapm repeats at Spearman 0.337, so single-season ranks are noisy.
d_drb_rapm_rank	Float64	Rank of d_drb_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_drb_rapm repeats at Spearman 0.128, so single-season ranks are noisy.
d_drb_rapm_pct	Float64	Percentile of d_drb_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_drb_rapm repeats at Spearman 0.128, so single-season ranks are noisy.
d_ftr_rapm_rank	Float64	Rank of d_ftr_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_ftr_rapm repeats at Spearman 0.306, so single-season ranks are noisy.
d_ftr_rapm_pct	Float64	Percentile of d_ftr_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_ftr_rapm repeats at Spearman 0.306, so single-season ranks are noisy.
d_other_rapm_rank	Float64	Rank of d_other_rapm within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (off_poss + def_poss, default 200); null below 10 qualifiers. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_other_rapm repeats at Spearman 0.343, so single-season ranks are noisy.
d_other_rapm_pct	Float64	Percentile of d_other_rapm among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is. Year over year (2024 to 2025, 92 players over 1,000 possessions) d_other_rapm repeats at Spearman 0.343, so single-season ranks are noisy.
rapm_se	Float64	Standard error of rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_rapm_se	Float64	Standard error of o_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_rapm_se	Float64	Standard error of d_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_efg_rapm_se	Float64	Standard error of o_efg_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_tov_rapm_se	Float64	Standard error of o_tov_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_orb_rapm_se	Float64	Standard error of o_orb_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_ftr_rapm_se	Float64	Standard error of o_ftr_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
o_other_rapm_se	Float64	Standard error of o_other_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_efg_rapm_se	Float64	Standard error of d_efg_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_tov_rapm_se	Float64	Standard error of d_tov_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_drb_rapm_se	Float64	Standard error of d_drb_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_ftr_rapm_se	Float64	Standard error of d_ftr_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
d_other_rapm_se	Float64	Standard error of d_other_rapm, clustered by game (the ridge sandwich): sampling noise around the shrunk estimate, not the shrinkage bias.
rapm_n	Int64	Sample size of rapm: off_poss + def_poss.
o_rapm_n	Int64	Sample size of o_rapm: off_poss.
d_rapm_n	Int64	Sample size of d_rapm: def_poss.
o_efg_rapm_n	Int64	Sample size of o_efg_rapm: off_poss.
o_tov_rapm_n	Int64	Sample size of o_tov_rapm: off_poss.
o_orb_rapm_n	Int64	Sample size of o_orb_rapm: off_poss.
o_ftr_rapm_n	Int64	Sample size of o_ftr_rapm: off_poss.
o_other_rapm_n	Int64	Sample size of o_other_rapm: off_poss.
d_efg_rapm_n	Int64	Sample size of d_efg_rapm: def_poss.
d_tov_rapm_n	Int64	Sample size of d_tov_rapm: def_poss.
d_drb_rapm_n	Int64	Sample size of d_drb_rapm: def_poss.
d_ftr_rapm_n	Int64	Sample size of d_ftr_rapm: def_poss.
d_other_rapm_n	Int64	Sample size of d_other_rapm: def_poss.
pts_per_fga	Float64	The season's points per field-goal attempt, the value of one shot used in the split (pts_per_fga per turnover, offensive rebound and free-throw chance).
ridge_alpha	Float64	The ridge penalty of the fit, shared by every component so they add up: plain RAPM's fixed league value (NBA 2,683, WNBA 1,931; sportsdataverse.nba.nba_rapm.RAPM_PENALTY), the same in every season. Rows fit before November 2026 carry RidgeCV's per-season leave-one-out pick instead, on a scale that changed with it.

wnba_player_on_off

wnba_player_on_off(seasons: 'int | list[int]', *, league_id: 'str' = '10', season_type: 'str' = 'regular-season', min_poss: 'int | None' = None, return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA player on/off (league_id='10'). See sportsdataverse.nba.nba_player_on_off.nba_player_on_off.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]
league_id	str	'10'
season_type	str	'regular-season'
min_poss	int | None	None
return_as_pandas	bool	False

Returns

One row per (season, team_id, player_id): games on the floor and team_games, then for _on and _off the minutes, poss / opp_poss, pts / opp_pts, plus_minus and off_rtg / def_rtg / net_rtg (per 100 possessions); <rating>_diff (on minus off); <m>_rank / <m>_pct for the on and diff ratings (within the season, among players with at least min_poss both ways) and <m>_n for every rating. poss_on + poss_off is the team's possessions. Ids are the stats.nba.com ids (Int64). Empty input returns that schema with zero rows.

col_name	type	description
season	Int64	Season, named by the year it ends (the WNBA season is its calendar year).
team_id	Int64	stats.nba.com team id.
player_id	Int64	stats.nba.com player (person) id.
games	Int64	Games the player was on the floor for the team.
team_games	Int64	Games the team played in the season (with play-by-play and possessions); games well short of it marks a player who missed time or was with the team for part of the season.
minutes_on	Float64	Game-clock minutes of the team's season with the player on the floor.
poss_on	Int64	The team's offensive possessions with the player on the floor (a possession belongs to the five on the floor when it starts).
opp_poss_on	Int64	The team's defensive possessions with the player on the floor.
pts_on	Int64	The team's points with the player on the floor, each scoring action credited to the lineup at that action (a free throw to the lineup at the last foul).
opp_pts_on	Int64	The opponent's points with the player on the floor, credited as pts_on is.
plus_minus_on	Int64	pts_on - opp_pts_on.
off_rtg_on	Float64	Offensive rating with the player on the floor: pts_on per 100 poss_on; null with no possessions.
def_rtg_on	Float64	Defensive rating with the player on the floor: opp_pts_on per 100 opp_poss_on; null with no possessions.
net_rtg_on	Float64	Net rating with the player on the floor: off_rtg_on - def_rtg_on; null when either is null.
minutes_off	Float64	Game-clock minutes of the team's season with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left).
poss_off	Int64	The team's offensive possessions with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left) (a possession belongs to the five on the floor when it starts).
opp_poss_off	Int64	The team's defensive possessions with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left).
pts_off	Int64	The team's points with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left), each scoring action credited to the lineup at that action (a free throw to the lineup at the last foul).
opp_pts_off	Int64	The opponent's points with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left), credited as pts_off is.
plus_minus_off	Int64	pts_off - opp_pts_off.
off_rtg_off	Float64	Offensive rating with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left): pts_off per 100 poss_off; null with no possessions.
def_rtg_off	Float64	Defensive rating with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left): opp_pts_off per 100 opp_poss_off; null with no possessions.
net_rtg_off	Float64	Net rating with the player off the floor: the rest of the team's season, the games he missed included (and, for a player traded or signed mid-season, the games before he joined or after he left): off_rtg_off - def_rtg_off; null when either is null.
off_rtg_diff	Float64	On-off offensive rating: off_rtg_on - off_rtg_off; null when either is null.
def_rtg_diff	Float64	On-off defensive rating: def_rtg_on - def_rtg_off; null when either is null.
net_rtg_diff	Float64	On-off net rating: net_rtg_on - net_rtg_off; null when either is null.
off_rtg_on_rank	Float64	Rank of off_rtg_on within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), whose off_rtg_on_n is at least 610 offensive possessions on the floor (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null under that gate or below 10 qualifiers. An owner-accepted exception (2026-11-09), as on the unseen 2023-2025 seasons the 610-possession gate is 0.27 signal, under a third, measured on halves that include playoff games (0.35 on regular-season games alone); the rank stays published, as no data or source defect was found (rate_gates).
def_rtg_on_rank	Float64	Rank of def_rtg_on within the season, league-wide (1 = best, lowest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), whose def_rtg_on_n is at least 1,200 defensive possessions on the floor (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null under that gate or below 10 qualifiers.
net_rtg_on_rank	Float64	Rank of net_rtg_on within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), whose net_rtg_on_n is at least 1,600 possessions on the floor (offense plus defense) (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null under that gate or below 10 qualifiers.
off_rtg_diff_rank	Float64	Rank of off_rtg_diff within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), whose off_rtg_diff_n is at least 720 offensive possessions on the thinner side (on or off the floor) (the sample at which the rate was, on the fit seasons, half signal, rate_gates); null under that gate or below 10 qualifiers. An owner-accepted exception (2026-11-09), as on the unseen 2023-2025 seasons the 720-possession gate is 0.31 signal, under a third, measured on halves that include playoff games (on regular-season games alone its curve never reaches half signal); the rank stays published, as no data or source defect was found (rate_gates).
def_rtg_diff_rank	Float64	Rank of def_rtg_diff within the season, league-wide (1 = best, lowest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), and never for def_rtg_diff: its reliability never comes near half signal on a season's sample (rate_gates); null under that gate or below 10 qualifiers.
net_rtg_diff_rank	Float64	Rank of net_rtg_diff within the season, league-wide (1 = best, highest first, ties averaged), among players with at least min_poss possessions (offense plus defense) both on and off the floor (default 200), whose net_rtg_diff_n is at least 2,600 possessions on the thinner side (offense plus defense, on or off the floor) (the sample at which the rate is half signal, rate_gates); null under that gate or below 10 qualifiers.
off_rtg_on_pct	Float64	Percentile of off_rtg_on among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
def_rtg_on_pct	Float64	Percentile of def_rtg_on among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
net_rtg_on_pct	Float64	Percentile of net_rtg_on among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
off_rtg_diff_pct	Float64	Percentile of off_rtg_diff among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
def_rtg_diff_pct	Float64	Percentile of def_rtg_diff among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
net_rtg_diff_pct	Float64	Percentile of net_rtg_diff among the same qualified players: 100 * (n + 1 - rank) / (n + 1), n the number ranked; null where the rank is.
off_rtg_on_n	Int64	Sample size of off_rtg_on: poss_on.
def_rtg_on_n	Int64	Sample size of def_rtg_on: opp_poss_on.
net_rtg_on_n	Int64	Sample size of net_rtg_on: poss_on + opp_poss_on.
off_rtg_off_n	Int64	Sample size of off_rtg_off: poss_off.
def_rtg_off_n	Int64	Sample size of def_rtg_off: opp_poss_off.
net_rtg_off_n	Int64	Sample size of net_rtg_off: poss_off + opp_poss_off.
off_rtg_diff_n	Int64	Sample size of off_rtg_diff: the smaller of off_rtg_on_n and off_rtg_off_n.
def_rtg_diff_n	Int64	Sample size of def_rtg_diff: the smaller of def_rtg_on_n and def_rtg_off_n.
net_rtg_diff_n	Int64	Sample size of net_rtg_diff: the smaller of net_rtg_on_n and net_rtg_off_n.

wnba_player_props

wnba_player_props(season: 'int', game_id: 'str', home_team_id: 'str', away_team_id: 'str', *, league_id: 'str' = '10', as_of_date: 'Union[dt.date, None]' = None, return_as_pandas: 'bool' = False) -> 'Union[pl.DataFrame, pd.DataFrame]'

WNBA player props (league_id='10'). See sportsdataverse.nba.nba_player_props.nba_player_props.

Parameters

Parameter	Type	Default	Description
season	int
game_id	str
home_team_id	str
away_team_id	str
league_id	str	'10'
as_of_date	Union[date, None]	None
return_as_pandas	bool	False

Returns

One row per player on either team: player_id, team_id, stat_pts_exp, stat_reb_exp, stat_ast_exp, stat_fg3m_exp, pace_proj. Empty input returns that schema with zero rows.

col_name	type	description
player_id	String	Unique player identifier.
team_id	String	Unique team identifier.
stat_pts_exp	Float64
stat_reb_exp	Float64
stat_ast_exp	Float64
stat_fg3m_exp	Float64
pace_proj	Float64

wnba_player_shot_zones

wnba_player_shot_zones(seasons: 'int | list[int]', *, league_id: 'str' = '10', return_as_pandas: 'bool' = False) -> 'pl.DataFrame | pd.DataFrame'

WNBA season shot profile by zone per player: rim / mid / corner 3 / above-the-break 3 (league_id='10'). See sportsdataverse.nba.nba_shot_zone_profiles.nba_player_shot_zones.

Parameters

Parameter	Type	Default	Description
seasons	int | list[int]
league_id	str	'10'
return_as_pandas	bool	False

Returns

One row per (season, team_id, player_id) (stats.nba.com ids, Int64) with player_name, games, fga, fgm, unlocated_fga and, for each zone z (rim, mid, corner_3, above_break_3), {z}_fga, {z}_fgm, {z}_ast (assisted makes), {z}_fg_pct, {z}_freq (share of the located attempts) and {z}_ast_pct (share of the makes assisted). The four {z}_fga plus unlocated_fga add up to fga. Every rate has <m>_n (its denominator), <m>_rank (1 = highest) and <m>_pct (the Weibull percentile), ranked within the season among players whose <m>_n reaches the rate's gate and null under ten players. Empty input returns that schema with zero rows.

col_name	type	description
season	Int64	Season: the WNBA season is its calendar year.
team_id	Int64	stats.wnba.com team id.
player_id	Int64	stats.wnba.com player (person) id.
player_name	String	Player name as the shots release spells it.
games	Int64	The player's regular-season games with at least one field-goal attempt for this team.
fga	Int64	Field-goal attempts by the player (regular-season games).
fgm	Int64	Field goals made by the player.
unlocated_fga	Int64	Attempts by the player 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 player at the rim (the restricted area: shot_distance under 4 ft).
rim_fgm	Int64	Makes by the player at the rim (the restricted area: shot_distance under 4 ft).
rim_ast	Int64	Assisted makes by the player at the rim (the restricted area: shot_distance under 4 ft).
mid_fga	Int64	Attempts by the player in the mid zone (every other two: the paint outside the restricted area and the mid-range).
mid_fgm	Int64	Makes by the player in the mid zone (every other two: the paint outside the restricted area and the mid-range).
mid_ast	Int64	Assisted makes by the player in the mid zone (every other two: the paint outside the restricted area and the mid-range).
corner_3_fga	Int64	Attempts by the player from the corner (a three from the baseline band, y_legacy <= 87.5, below the break).
corner_3_fgm	Int64	Makes by the player from the corner (a three from the baseline band, y_legacy <= 87.5, below the break).
corner_3_ast	Int64	Assisted makes by the player from the corner (a three from the baseline band, y_legacy <= 87.5, below the break).
above_break_3_fga	Int64	Attempts by the player from above the break (every other three).
above_break_3_fgm	Int64	Makes by the player from above the break (every other three).
above_break_3_ast	Int64	Assisted makes by the player 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 (every make's assist is in its description); 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 (every make's assist is in its description); 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 (every make's assist is in its description); 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 (every make's assist is in its description); 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 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 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 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 in the zone.
rim_fg_pct_rank	Float64	Rank of rim_fg_pct within the season (the highest ranks 1; ties average), among players whose rim_fg_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
rim_freq_rank	Float64	Rank of rim_freq within the season (the highest ranks 1; ties average), among players whose rim_freq_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
rim_ast_pct_rank	Float64	Rank of rim_ast_pct within the season (the highest ranks 1; ties average), among players whose rim_ast_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
mid_fg_pct_rank	Float64	Rank of mid_fg_pct within the season (the highest ranks 1; ties average), among players whose mid_fg_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
mid_freq_rank	Float64	Rank of mid_freq within the season (the highest ranks 1; ties average), among players whose mid_freq_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
mid_ast_pct_rank	Float64	Rank of mid_ast_pct within the season (the highest ranks 1; ties average), among players whose mid_ast_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
corner_3_fg_pct_rank	Float64	Rank of corner_3_fg_pct within the season (the highest ranks 1; ties average), among players whose corner_3_fg_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
corner_3_freq_rank	Float64	Rank of corner_3_freq within the season (the highest ranks 1; ties average), among players whose corner_3_freq_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
corner_3_ast_pct_rank	Float64	Rank of corner_3_ast_pct within the season (the highest ranks 1; ties average), among players whose corner_3_ast_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players 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 players whose above_break_3_fg_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players ranked.
above_break_3_freq_rank	Float64	Rank of above_break_3_freq within the season (the highest ranks 1; ties average), among players whose above_break_3_freq_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players 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 players whose above_break_3_ast_pct_n reaches the rate's split-half gate (PLAYER_MIN_N); null under the gate, for a rate with no gate (never half signal), or with fewer than ten players 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.