SOCCER — American Soccer Analysis (app.americansocceranalysis.com)

sportsdataverse.soccer — 15 endpoints.

asa_games

Games/fixtures with final scores, venue/official/manager FKs.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/games

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/games

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
game_id	character	ASA game id (base62 string; Utf8 join key).
date_time_utc	character	Kickoff timestamp (UTC, ISO 8601).
home_score	integer	Home goals (regulation + extra time).
away_score	integer	Away goals (regulation + extra time).
home_team_id	character	FK -> Team (home side).
away_team_id	character	FK -> Team (away side).
referee_id	character	ASA referee id (base62 string; Utf8 join key).
stadium_id	character	ASA stadium id (base62 string; Utf8 join key).
home_manager_id	character	FK -> Manager (home side; nullable).
away_manager_id	character	FK -> Manager (away side; nullable).
expanded_minutes	integer	Total match minutes incl. stoppage (data coverage window).
season_name	character	Season(s) the player appears in; may serialize as a scalar, a list, or an object across the leagues.
matchday	integer	Round/matchday number.
knockout_game	logical	True if a knockout/playoff fixture.
status	character	Game status (e.g. final).
last_updated_utc	character	Last-updated timestamp (UTC, ISO 8601).
attendance	numeric	Reported attendance (nullable).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_games(league_slug='mls')

Last validated n/a.

asa_games_xgoals

Per-game expected-goals + expected points for both sides.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/games/xgoals

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/games/xgoals

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
game_id	character	ASA game id (base62 string; Utf8 join key).
date_time_utc	character	Kickoff timestamp (UTC, ISO 8601).
home_team_id	character	FK -> Team (home side).
home_goals	integer	Home goals scored.
home_team_xgoals	numeric	Home expected goals (team model).
home_player_xgoals	numeric	Home expected goals (player-shot model).
away_team_id	character	FK -> Team (away side).
away_goals	integer	Away goals scored.
away_team_xgoals	numeric	Away expected goals (team model).
away_player_xgoals	numeric	Away expected goals (player-shot model).
goal_difference	integer	goals_for - goals_against.
team_xgoal_difference	numeric	Home minus away team xGoals.
player_xgoal_difference	numeric	Home minus away player xGoals.
final_score_difference	integer	Final goal margin (home perspective).
home_xpoints	numeric	Home expected points from the match.
away_xpoints	numeric	Away expected points from the match.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_games_xgoals(league_slug='mls')

Last validated n/a.

asa_goalkeepers_goals_added

Per-goalkeeper Goals Added with a per-action-type data[] breakdown.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/goalkeepers/goals-added

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/goalkeepers/goals-added

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
minutes_played	integer	Minutes played in the filtered window.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_goalkeepers_goals_added(league_slug='mls')

Last validated n/a.

asa_goalkeepers_xgoals

Per-goalkeeper shot-stopping vs post-shot expected goals.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/goalkeepers/xgoals

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/goalkeepers/xgoals

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
minutes_played	integer	Minutes played in the filtered window.
shots_faced	integer	Shots faced.
goals_conceded	integer	Goals conceded.
saves	integer	Saves made.
share_headed_shots	numeric	Share of faced shots that were headers.
xgoals_gk_faced	numeric	Post-shot expected goals faced.
goals_minus_xgoals_gk	numeric	Goals conceded minus post-shot xG (negative = shots saved above expectation).
goals_divided_by_xgoals_gk	numeric	Goals conceded / post-shot xG faced.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_goalkeepers_xgoals(league_slug='mls')

Last validated n/a.

asa_managers

Managers/head coaches.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/managers

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/managers

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
manager_id	character	ASA manager id (base62 string; Utf8 join key).
manager_name	character	Manager display name.
nationality	character	Player nationality (country name).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_managers(league_slug='mls')

Last validated n/a.

asa_players

Players in the league (identity + biometrics + positions).

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/players

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/players

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
player_name	character	Player display name.
birth_date	character	Date of birth (YYYY-MM-DD; may be null).
height_ft	integer	Listed height, feet component.
height_in	integer	Listed height, inches component.
weight_lb	integer	Listed weight in pounds.
nationality	character	Player nationality (country name).
primary_broad_position	character	Broad position bucket (Goalkeeper/Defender/Midfielder/Forward).
primary_general_position	character	General position code (GK/CB/FB/DM/CM/AM/W/ST).
season_name	character	Season(s) the player appears in; may serialize as a scalar, a list, or an object across the leagues.
secondary_general_position	character	Secondary general position code (nullable).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_players(league_slug='mls')

Last validated n/a.

asa_players_goals_added

Per-player Goals Added (g+) with a per-action-type data[] breakdown.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/players/goals-added

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/players/goals-added

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
general_position	character	General position code (GK/CB/FB/DM/CM/AM/W/ST).
minutes_played	integer	Minutes played in the filtered window.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_players_goals_added(league_slug='mls')

Last validated n/a.

asa_players_salaries

Player salaries (MLS only; server caps the response at 10000 rows).

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/players/salaries

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/players/salaries

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
season_name	integer	Season(s) the player appears in; may serialize as a scalar, a list, or an object across the leagues.
position	character	Roster position designation (string; distinct from general_position).
base_salary	integer	Base salary (USD).
guaranteed_compensation	integer	Guaranteed compensation (USD).
mlspa_release	character	MLSPA salary-release label/date the row is sourced from.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_players_salaries(league_slug='mls')

Last validated n/a.

asa_players_xgoals

Per-player expected-goals + attacking production.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/players/xgoals

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/players/xgoals

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
player_id	character	ASA player id (base62 string; Utf8 join key).
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
general_position	character	General position code (GK/CB/FB/DM/CM/AM/W/ST).
minutes_played	integer	Minutes played in the filtered window.
shots	integer	Shots taken.
shots_on_target	integer	Shots on target.
goals	integer	Goals scored.
xgoals	numeric	Expected goals (pre-shot xG).
xplace	numeric	Expected goals added by shot placement (post-shot minus pre-shot).
goals_minus_xgoals	numeric	Finishing over expectation (goals - xG).
key_passes	integer	Passes that led to a shot.
primary_assists	integer	Primary assists.
xassists	numeric	Expected assists.
primary_assists_minus_xassists	numeric	Assists over expectation.
goals_plus_primary_assists	integer	Goals + primary assists (G+A).
xgoals_plus_xassists	numeric	xGoals + xAssists (xG+xA).
points_added	numeric	Team points added by the player's attacking output.
xpoints_added	numeric	Expected team points added.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_players_xgoals(league_slug='mls')

Last validated n/a.

asa_referees

Match referees.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/referees

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/referees

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
referee_id	character	ASA referee id (base62 string; Utf8 join key).
referee_name	character	Referee display name.
birth_date	character	Date of birth (YYYY-MM-DD; may be null).
nationality	character	Player nationality (country name).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_referees(league_slug='mls')

Last validated n/a.

asa_stadia

Stadia (venue metadata incl. coordinates + pitch dimensions).

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/stadia

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/stadia

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
stadium_id	character	ASA stadium id (base62 string; Utf8 join key).
stadium_name	character	Venue name.
capacity	integer	Seating capacity.
year_built	integer	Year the venue opened.
roof	logical	Whether the venue has a roof.
turf	logical	Whether the playing surface is artificial turf.
street	character	Street address.
city	character	City.
province	character	State/province.
country	character	Country.
postal_code	character	Postal/ZIP code.
latitude	numeric	Latitude (decimal degrees).
longitude	numeric	Longitude (decimal degrees).
field_x	integer	Pitch length (venue-reported field dimension).
field_y	integer	Pitch width (venue-reported field dimension).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_stadia(league_slug='mls')

Last validated n/a.

asa_teams

Teams in the league (full table, no filter params).

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/teams

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/teams

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
team_name	character	Full club name.
team_short_name	character	Short club name.
team_abbreviation	character	Short (2-4 char) club abbreviation.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_teams(league_slug='mls')

Last validated n/a.

asa_teams_goals_added

Per-team Goals Added for/against with a per-action-type data[] breakdown.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/teams/goals-added

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/teams/goals-added

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
minutes	integer	Team minutes in the window.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_teams_goals_added(league_slug='mls')

Last validated n/a.

asa_teams_xgoals

Per-team expected-goals for/against + expected points.

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/teams/xgoals

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/teams/xgoals

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
count_games	integer	Games included in the window.
shots_for	integer	Shots taken.
shots_against	integer	Shots faced.
goals_for	integer	Goals scored.
goals_against	integer	Goals conceded.
goal_difference	integer	goals_for - goals_against.
xgoals_for	numeric	Expected goals created.
xgoals_against	numeric	Expected goals conceded.
xgoal_difference	numeric	xgoals_for - xgoals_against.
goal_difference_minus_xgoal_difference	numeric	Finishing/keeping over expectation.
points	integer	Actual league points earned.
xpoints	numeric	Expected league points.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_teams_xgoals(league_slug='mls')

Last validated n/a.

asa_teams_xpass

Per-team expected-passing (completion over expected, vertical distance).

Endpoint URL: GET https://app.americansocceranalysis.com/api/v1/{league_slug}/teams/xpass

Valid URL: https://app.americansocceranalysis.com/api/v1/mls/teams/xpass

API Parameter	Python	Pattern	Required	Nullable	Description
league_slug	league_slug		Y		league_slug path parameter.
season_name	season_name			Y	Filter to one or more seasons. Comma-list accepted (2022,2023).
stage_name	stage_name			Y	Filter to a competition stage, e.g. Regular Season. URL-encode spaces.
minimum_minutes	minimum_minutes			Y	Drop players/teams below this minutes-played threshold.
general_position	general_position			Y	Filter by general position code: GK, CB, FB, DM, CM, AM, W, ST (player/GK routes).
split_by_teams	split_by_teams			Y	true => one row per entity per team (splits traded players).
split_by_seasons	split_by_seasons			Y	true => one row per entity per season.
split_by_games	split_by_games			Y	true => one row per entity per game.
start_date	start_date			Y	Lower date bound (YYYY-MM-DD), where the route supports date windows.
end_date	end_date			Y	Upper date bound (YYYY-MM-DD), where the route supports date windows.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
team_id	character	ASA team id (base62 string; Utf8 join key, never numeric).
count_games	integer	Games included in the window.
attempted_passes_for	integer	Passes attempted by the team.
pass_completion_percentage_for	numeric	Actual pass completion % (for).
xpass_completion_percentage_for	numeric	Expected pass completion % (for).
passes_completed_over_expected_for	numeric	Passes completed over expected (for).
passes_completed_over_expected_p100_for	numeric	Passes completed over expected per 100 passes (for).
avg_vertical_distance_for	numeric	Average vertical (goalward) pass distance (for).
attempted_passes_against	integer	Passes attempted by opponents.
pass_completion_percentage_against	numeric	Actual pass completion % (against).
xpass_completion_percentage_against	numeric	Expected pass completion % (against).
passes_completed_over_expected_against	numeric	Passes completed over expected (against).
passes_completed_over_expected_p100_against	numeric	Passes completed over expected per 100 passes (against).
avg_vertical_distance_against	numeric	Average vertical pass distance (against).
passes_completed_over_expected_difference	numeric	For minus against (passes over expected).
avg_vertical_distance_difference	numeric	For minus against (vertical distance).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

asa_teams_xpass(league_slug='mls')

Last validated n/a.