PWHL — additional Python functions — Analytics

pwhl_game_total

pwhl_game_total(games: 'Any', ratings: 'Any', *, league: 'str' = 'pwhl', **kwargs: 'Any') -> 'Any'

PWHL per-game expected total goals (re-export of the expected-goals helper).

Delegates to sportsdataverse.nhl.nhl_player_props.nhl_game_total with league="pwhl" defaulted.

Parameters

Parameter	Type	Default	Description
games	Any		a schedule-shaped frame.
ratings	Any		a pwhl_team_ratings-shaped frame.
league	str	'pwhl'	league key (defaults to "pwhl").

Returns

The NHL core's game_id/exp_total frame, computed with PWHL constants.

Example

from sportsdataverse.pwhl.pwhl_player_props import pwhl_game_total
totals = pwhl_game_total(games, ratings)

pwhl_in_game_win_prob

pwhl_in_game_win_prob(pbp: 'Any', pregame_home_prob: 'float', *, league: 'str' = 'pwhl', **kwargs: 'Any') -> 'Any'

PWHL per-play live home win probability from the bundled in-game model.

Delegates to sportsdataverse.nhl.nhl_market.nhl_in_game_win_prob with league="pwhl" defaulted. NOTE: requires a committed pwhl_in_game_wp artifact, deferred until PWHL data lands (see module docstring); calling it before then raises a clear FileNotFoundError from the artifact loader, not a silent bad result.

Parameters

Parameter	Type	Default	Description
pbp	Any		a play-by-play frame shaped like load_nhl_pbp_full.
pregame_home_prob	float		the pregame home win probability anchor.
league	str	'pwhl'	league key (defaults to "pwhl").

Returns

The NHL core's per-play home_win_prob frame.

Example

from sportsdataverse.pwhl.pwhl_market import pwhl_in_game_win_prob
wp = pwhl_in_game_win_prob(pbp, pregame_home_prob=0.5)

pwhl_player_props

pwhl_player_props(seasons: 'Any', *, league: 'str' = 'pwhl', **kwargs: 'Any') -> 'Any'

PWHL empirical-Bayes shots/points player-prop projections.

Delegates to sportsdataverse.nhl.nhl_player_props.nhl_player_props with league="pwhl" defaulted.

Parameters

Parameter	Type	Default	Description
seasons	Any		an int or iterable of seasons.
league	str	'pwhl'	league key (defaults to "pwhl").

Returns

The NHL core's per-(player, game, stat) projection frame.

Example

from sportsdataverse.pwhl.pwhl_player_props import pwhl_player_props
props = pwhl_player_props(2024)

pwhl_predict_games

pwhl_predict_games(games: 'Any', ratings: 'Any', *, league: 'str' = 'pwhl', **kwargs: 'Any') -> 'Any'

PWHL vectorized pregame margin/win-prob/total (+ market edge).

Delegates to sportsdataverse.nhl.nhl_market.nhl_predict_games with league="pwhl" defaulted.

Parameters

Parameter	Type	Default	Description
games	Any		a schedule-shaped frame (game_id, home_team, away_team, neutral_site).
ratings	Any		a pwhl_team_ratings-shaped frame.
league	str	'pwhl'	league key (defaults to "pwhl").

Returns

The NHL core's per-game prediction frame, computed with PWHL constants.

Example

from sportsdataverse.pwhl.pwhl_market import pwhl_predict_games
preds = pwhl_predict_games(games, ratings)