def all_players(season, all_time=False):
"""
return all players
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
players (list)
each player is a dict with the following available keys
["PERSON_ID","DISPLAY_LAST_COMMA_FIRST","ROSTERSTATUS","FROM_YEAR",
"TO_YEAR","PLAYERCODE"]
"""
# IsOnlyCurrentSeason: 0 is false 1 is true
cur_season = 1
if all_time:
cur_season = 0
endpoint = 'http://stats.nba.com/stats/commonallplayers'
payload = {
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"IsOnlyCurrentSeason": cur_season
}
response = utils.get_response(endpoint, payload)
return response['CommonAllPlayers']
def all_players(season, all_time=False):
"""
return all players
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
players (list)
each player is a dict with the following available keys
["PERSON_ID","DISPLAY_LAST_COMMA_FIRST","ROSTERSTATUS","FROM_YEAR",
"TO_YEAR","PLAYERCODE"]
"""
# IsOnlyCurrentSeason: 0 is false 1 is true
cur_season = 1
if all_time:
cur_season = 0
endpoint = 'http://stats.nba.com/stats/commonallplayers'
payload = {
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"IsOnlyCurrentSeason": cur_season
}
response = utils.get_response(endpoint, payload)
return response['CommonAllPlayers']
def standings_from_date(date):
"""
return the standing on a given date
args:
date (string): format=mm/dd/yyyy
returns:
standings (dict) keys are 'EAST', and 'WEST'
values are teams
teams (list): games that happen that day
each team is a dict with the following available keys
["TEAM_ID","LEAGUE_ID","SEASON_ID","STANDINGSDATE","CONFERENCE","TEAM",
"G","W","L","W_PCT","HOME_RECORD","ROAD_RECORD"]
"""
endpoint = 'http://stats.nba.com/stats/scoreboardv2'
payload = {
'DayOffset': '0',
'LeagueID': '00',
'gameDate': date
}
response = utils.get_response(endpoint, payload)
return {
'EAST': response['EastConfStandingsByDay'],
'WEST': response['WestConfStandingsByDay']
}
def player_game_log(player_id, season):
"""
return games that a player has already played in given season
args:
player_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
games (list): games a player has played in given season
each game is a dict with the following available keys
["SEASON_ID","PLAYER_ID","GAME_ID","GAME_DATE","MATCHUP","WL","MIN",
"FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT",
"OREB","DREB","REB","AST","STL","BLK","TOV","PF","PTS","PLUS_MINUS",
"VIDEO_AVAILABLE"]
"""
endpoint = 'http://stats.nba.com/stats/playergamelog'
payload = {
"PlayerID": player_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"SeasonType": "Regular Season"
}
response = utils.get_response(endpoint, payload)
return response['PlayerGameLog']
def team_game_log(team_id, season):
"""
return games that a team has already played in given season
args:
team_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
games (list): games a team has played in given season
each game is a dict with the following available keys
["TEAM_ID","GAME_ID","GAME_DATE","MATCHUP","WL","MIN",
"FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM",
"FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK",
"TOV","PF","PTS"]
"""
endpoint = 'http://stats.nba.com/stats/teamgamelog'
payload = {
"TeamID": team_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"SeasonType": "Regular Season"
}
response = utils.get_response(endpoint, payload)
return response['TeamGameLog']
def play_by_play(game_id):
"""
return play by play data for a given game
args:
game_id (int)
returns:
plays (list)
each player is a dict with the following available keys
["GAME_ID","EVENTNUM","EVENTMSGTYPE","EVENTMSGACTIONTYPE","PERIOD",
"WCTIMESTRING","PCTIMESTRING","HOMEDESCRIPTION","NEUTRALDESCRIPTION",
"VISITORDESCRIPTION","SCORE","SCOREMARGIN","PERSON1TYPE","PLAYER1_ID",
"PLAYER1_NAME","PLAYER1_TEAM_ID","PLAYER1_TEAM_CITY",
"PLAYER1_TEAM_NICKNAME","PLAYER1_TEAM_ABBREVIATION","PERSON2TYPE",
"PLAYER2_ID","PLAYER2_NAME","PLAYER2_TEAM_ID","PLAYER2_TEAM_CITY",
"PLAYER2_TEAM_NICKNAME","PLAYER2_TEAM_ABBREVIATION","PERSON3TYPE",
"PLAYER3_ID","PLAYER3_NAME","PLAYER3_TEAM_ID","PLAYER3_TEAM_CITY",
"PLAYER3_TEAM_NICKNAME","PLAYER3_TEAM_ABBREVIATION"]
"""
endpoint = 'http://stats.nba.com/stats/playbyplayv2'
payload = {
'GameID': game_id,
'StartPeriod': 1,
'EndPeriod': 10,
'StartRange': 0,
'EndRange': 28800,
'RangeType': 0
}
response = utils.get_response(endpoint, payload)
return response['PlayerStats']
def team_game_log(team_id, season):
"""
return games that a team has already played in given season
args:
team_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
games (list): games a team has played in given season
each game is a dict with the following available keys
["TEAM_ID","GAME_ID","GAME_DATE","MATCHUP","WL","MIN",
"FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM",
"FTA","FT_PCT","OREB","DREB","REB","AST","STL","BLK",
"TOV","PF","PTS"]
"""
endpoint = 'http://stats.nba.com/stats/teamgamelog'
payload = {
"TeamID": team_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"SeasonType": "Regular Season"
}
response = utils.get_response(endpoint, payload)
return response['TeamGameLog']
def player_game_log(player_id, season):
"""
return games that a player has already played in given season
args:
player_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
games (list): games a player has played in given season
each game is a dict with the following available keys
["SEASON_ID","PLAYER_ID","GAME_ID","GAME_DATE","MATCHUP","WL","MIN",
"FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT",
"OREB","DREB","REB","AST","STL","BLK","TOV","PF","PTS","PLUS_MINUS",
"VIDEO_AVAILABLE"]
"""
endpoint = 'http://stats.nba.com/stats/playergamelog'
payload = {
"PlayerID": player_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"SeasonType": "Regular Season"
}
response = utils.get_response(endpoint, payload)
return response['PlayerGameLog']
def play_by_play(game_id):
"""
return play by play data for a given game
args:
game_id (int)
returns:
plays (list)
each player is a dict with the following available keys
["GAME_ID","EVENTNUM","EVENTMSGTYPE","EVENTMSGACTIONTYPE","PERIOD",
"WCTIMESTRING","PCTIMESTRING","HOMEDESCRIPTION","NEUTRALDESCRIPTION",
"VISITORDESCRIPTION","SCORE","SCOREMARGIN","PERSON1TYPE","PLAYER1_ID",
"PLAYER1_NAME","PLAYER1_TEAM_ID","PLAYER1_TEAM_CITY",
"PLAYER1_TEAM_NICKNAME","PLAYER1_TEAM_ABBREVIATION","PERSON2TYPE",
"PLAYER2_ID","PLAYER2_NAME","PLAYER2_TEAM_ID","PLAYER2_TEAM_CITY",
"PLAYER2_TEAM_NICKNAME","PLAYER2_TEAM_ABBREVIATION","PERSON3TYPE",
"PLAYER3_ID","PLAYER3_NAME","PLAYER3_TEAM_ID","PLAYER3_TEAM_CITY",
"PLAYER3_TEAM_NICKNAME","PLAYER3_TEAM_ABBREVIATION"]
"""
endpoint = 'http://stats.nba.com/stats/playbyplayv2'
payload = {
'GameID': game_id,
'StartPeriod': 1,
'EndPeriod': 10,
'StartRange': 0,
'EndRange': 28800,
'RangeType': 0
}
response = utils.get_response(endpoint, payload)
return response['PlayerStats']
def player_game_shot_chart(game_id, team_id, player_id):
# TODO check to make sure correct
"""
return player tracking information for a given game
args:
game_id (int)
#TODO get team_id from player_id
team_id (int)
player_id (int)
returns:
shots (list): shots a player attempted during a game
each player is a dict with the following available keys
["GRID_TYPE","GAME_ID","GAME_EVENT_ID","PLAYER_ID","PLAYER_NAME","TEAM_ID",
"TEAM_NAME","PERIOD","MINUTES_REMAINING","SECONDS_REMAINING","EVENT_TYPE",
"ACTION_TYPE","SHOT_TYPE","SHOT_ZONE_BASIC","SHOT_ZONE_AREA",
"SHOT_ZONE_RANGE","SHOT_DISTANCE","LOC_X","LOC_Y","SHOT_ATTEMPTED_FLAG",
"SHOT_MADE_FLAG"]
"""
endpoint = 'http://stats.nba.com/stats/shotchartdetail'
payload = {
"LeagueID": "00",
#see if need season or can get from game_id
"Season": "2014-15",
"SeasonType": "Regular Season",
"TeamID": team_id,
"PlayerID": player_id,
"GameID": game_id,
"Outcome": None,
"Location": None,
"Month": 0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID": 0,
"VsConference": None,
"VsDivision": None,
"Position": None,
"RookieYear": None,
"GameSegment": None,
"Period": 0,
"LastNGames": 0,
"ClutchTime": None,
"AheadBehind": None,
"PointDiff": None,
"RangeType": 2,
"StartPeriod": 1,
"EndPeriod": 10,
"StartRange": 0,
"EndRange": 28800,
"ContextFilter": "",
"ContextMeasure": "FGA"
}
response = utils.get_response(endpoint, payload)
return response['Shot_Chart_Detail']
def player_game_shot_chart(game_id, team_id, player_id):
# TODO check to make sure correct
"""
return player tracking information for a given game
args:
game_id (int)
#TODO get team_id from player_id
team_id (int)
player_id (int)
returns:
shots (list): shots a player attempted during a game
each player is a dict with the following available keys
["GRID_TYPE","GAME_ID","GAME_EVENT_ID","PLAYER_ID","PLAYER_NAME","TEAM_ID",
"TEAM_NAME","PERIOD","MINUTES_REMAINING","SECONDS_REMAINING","EVENT_TYPE",
"ACTION_TYPE","SHOT_TYPE","SHOT_ZONE_BASIC","SHOT_ZONE_AREA",
"SHOT_ZONE_RANGE","SHOT_DISTANCE","LOC_X","LOC_Y","SHOT_ATTEMPTED_FLAG",
"SHOT_MADE_FLAG"]
"""
endpoint = 'http://stats.nba.com/stats/shotchartdetail'
payload = {
"LeagueID": "00",
#see if need season or can get from game_id
"Season": "2014-15",
"SeasonType": "Regular Season",
"TeamID": team_id,
"PlayerID": player_id,
"GameID": game_id,
"Outcome": None,
"Location": None,
"Month": 0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID": 0,
"VsConference": None,
"VsDivision": None,
"Position": None,
"RookieYear": None,
"GameSegment": None,
"Period": 0,
"LastNGames": 0,
"ClutchTime": None,
"AheadBehind": None,
"PointDiff": None,
"RangeType": 2,
"StartPeriod": 1,
"EndPeriod": 10,
"StartRange": 0,
"EndRange": 28800,
"ContextFilter": "",
"ContextMeasure": "FGA"
}
response = utils.get_response(endpoint, payload)
return response['Shot_Chart_Detail']
def league_leaders(season):
# TODO document
endpoint = 'http://stats.nba.com/stats/leagueleaders'
payload = {
"LeagueID": "00",
"PerMode": "PerGame",
"StatCategory": "PTS",
"Season": util.cleanse_season(season),
"SeasonType": "Regular Season",
"Scope": "S"
}
response = utils.get_response(endpoint, payload)
return response['LeagueLeaders']
def league_leaders(season):
# TODO document
endpoint = 'http://stats.nba.com/stats/leagueleaders'
payload = {
"LeagueID": "00",
"PerMode": "PerGame",
"StatCategory": "PTS",
"Season": util.cleanse_season(season),
"SeasonType": "Regular Season",
"Scope": "S"
}
response = utils.get_response(endpoint, payload)
return response['LeagueLeaders']
def team_screen_def():
"""
returns synergy screen data for all teams this season
returns:
teams (list): offensive stats for off screen plays for all teams
each team is a dict with the following available keys
["TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/team_OffScreen.js'
response = utils.get_response(endpoint, None)
return response['Defensive']
def team_screen_def():
"""
returns synergy screen data for all teams this season
returns:
teams (list): offensive stats for off screen plays for all teams
each team is a dict with the following available keys
["TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/team_OffScreen.js'
response = utils.get_response(endpoint, None)
return response['Defensive']
def team_drive(season):
"""
returns sportsvu driving data for all teams
args:
season
returns:
teams (list): driving data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","DVS","DPP","DTP","FG_PCT","PTS_48","DPP_TOT","DVS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/drivesTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingDrivesStats']
def player_pnr_handler_off():
"""
returns synergy PnR ball handler data for all players this season
returns:
players (list): data for all players
each player is a dict with the following available keys
["PlayerIDSID","PlayerFirstName","PlayerLastName","PlayerNumber","P",
"TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/player_PRBallHandler.js'
response = utils.get_response(endpoint, None)
return response['Offensive']
def player_drive(season):
"""
returns sportsvu driving data for all players
args:
season
returns:
players (list): driving data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","DVS","DPP","DTP","FG_PCT","PTS_48","DPP_TOT","DVS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/drivesData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingDrivesStats']
def player_pnr_handler_off():
"""
returns synergy PnR ball handler data for all players this season
returns:
players (list): data for all players
each player is a dict with the following available keys
["PlayerIDSID","PlayerFirstName","PlayerLastName","PlayerNumber","P",
"TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/player_PRBallHandler.js'
response = utils.get_response(endpoint, None)
return response['Offensive']
def team_passing(season):
"""
returns sportsvu passing data for all teams
args:
season
returns:
teams (list): passing data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PASS","AST","AST_FT","AST_SEC","AST_POT","PTS_CRT","PTS_CRT_48",
"AST_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/passingTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingPassingStats']
def team_touches(season):
"""
returns sportsvu touches data for all teams
args:
season
returns:
teams (list): touches data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","TCH","FC_TCH","TOP","CL_TCH","EL_TCH","PTS","PTS_TCH","PTS_HCCT",
"TCH_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/touchesTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingTouchesStats']
def team_drive(season):
"""
returns sportsvu driving data for all teams
args:
season
returns:
teams (list): driving data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","DVS","DPP","DTP","FG_PCT","PTS_48","DPP_TOT","DVS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/drivesTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingDrivesStats']
def player_screen_def():
"""
returns synergy off screen defense data for all players this season
returns:
players (list): all qualified player's off screen defense stats
each player is a dict with the following available keys
["PlayerIDSID","PlayerFirstName","PlayerLastName","PlayerNumber","P",
"TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/player_OffScreen.js'
response = utils.get_response(endpoint, None)
# yes there is a typo in the endpoint
return response['Deffensive']
def player_drive(season):
"""
returns sportsvu driving data for all players
args:
season
returns:
players (list): driving data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","DVS","DPP","DTP","FG_PCT","PTS_48","DPP_TOT","DVS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/drivesData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingDrivesStats']
def player_pull_up(season):
"""
returns sportsvu pull up shooting data for all players
args:
season
returns:
players (list): pull up shooting data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PTS","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","EFG_PCT",
"PTS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/pullUpShootData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingPullUpShootStats']
def all_players_stats(season):
# TODO all users to specify what type of stats
"""
return basic stats for all players in a season
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
players (list): players and their stats for the season
each player is a dict with the following available keys
["PLAYER_ID","PLAYER_NAME","TEAM_ID","TEAM_ABBREVIATION","GP","W","L",
"W_PCT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA",
"FT_PCT","OREB","DREB","REB","AST","TOV","STL","BLK","BLKA","PF","PFD",
"PTS","PLUS_MINUS","DD2","TD3","CFID","CFPARAMS"]
"""
endpoint = 'http://stats.nba.com/stats/leaguedashplayerstats'
payload = {
"MeasureType":"Base",
"PerMode":"PerGame",
"PlusMinus":"N",
"PaceAdjust":"N",
"Rank":"N",
"LeagueID":"00",
"Season":utils.cleanse_season(season),
"SeasonType":"Regular Season",
"Outcome": None,
"Location": None,
"Month":0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID":0,
"VsConference": None,
"VsDivision": None,
"GameSegment": None,
"Period":0,
"LastNGames":0,
"GameScope": None,
"PlayerExperience": None,
"PlayerPosition": None,
"StarterBench": None
}
response = utils.get_response(endpoint, payload)
# TODO get corrent name
return response['LeagueDashPlayerStats']
def team_catch_shoot(season):
"""
returns sportsvu catch and shoot data for all teams
args:
season
returns:
teams (list): catch and shoot data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PTS","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","EFG_PCT",
"PTS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/catchShootTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingCatchShootStats']
def team_speed(season):
"""
returns sportsvu speed data for all teams
args:
season
returns:
teams (list): speed data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","DIST","AV_SPD","DIST_PG","DIST_48","DIST_OFF","DIST_DEF",
"AV_SPD_OFF","AV_SPD_DEF"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/speedTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingSpeedStats']
def player_passing(season):
"""
returns sportsvu passing data for all players
args:
season
returns:
players (list): passing data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PASS","AST","AST_FT","AST_SEC","AST_POT","PTS_CRT","PTS_CRT_48",
"AST_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/passingData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingPassingStats']
def team_defense(season):
"""
returns sportsvu defense data for all teams
args:
season
returns:
teams (list): defense data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","BLK","STL","FGM_DEFEND_RIM","FGA_DEFEND_RIM","FGP_DEFEND_RIM",
"BLK_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/defenseTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingDefenseStats']
def all_players_stats(season):
# TODO all users to specify what type of stats
"""
return basic stats for all players in a season
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
players (list): players and their stats for the season
each player is a dict with the following available keys
["PLAYER_ID","PLAYER_NAME","TEAM_ID","TEAM_ABBREVIATION","GP","W","L",
"W_PCT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM","FTA",
"FT_PCT","OREB","DREB","REB","AST","TOV","STL","BLK","BLKA","PF","PFD",
"PTS","PLUS_MINUS","DD2","TD3","CFID","CFPARAMS"]
"""
endpoint = 'http://stats.nba.com/stats/leaguedashplayerstats'
payload = {
"MeasureType": "Base",
"PerMode": "PerGame",
"PlusMinus": "N",
"PaceAdjust": "N",
"Rank": "N",
"LeagueID": "00",
"Season": utils.cleanse_season(season),
"SeasonType": "Regular Season",
"Outcome": None,
"Location": None,
"Month": 0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID": 0,
"VsConference": None,
"VsDivision": None,
"GameSegment": None,
"Period": 0,
"LastNGames": 0,
"GameScope": None,
"PlayerExperience": None,
"PlayerPosition": None,
"StarterBench": None
}
response = utils.get_response(endpoint, payload)
# TODO get corrent name
return response['LeagueDashPlayerStats']
def player_touches(season):
"""
returns sportsvu touches data for all players
args:
season
returns:
players (list): touches data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","TCH","FC_TCH","TOP","CL_TCH","EL_TCH","PTS","PTS_TCH","PTS_HCCT",
"TCH_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/touchesData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingTouchesStats']
def player_defense(season):
"""
returns sportsvu defense data for all players
args:
season
returns:
players (list): defense data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","BLK","STL","FGM_DEFEND_RIM","FGA_DEFEND_RIM","FGP_DEFEND_RIM",
"BLK_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/defenseData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingDefenseStats']
def player_speed(season):
"""
returns sportsvu speed data for all players
args:
season
returns:
players (list): speed data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","DIST","AV_SPD","DIST_PG","DIST_48","DIST_OFF","DIST_DEF",
"AV_SPD_OFF","AV_SPD_DEF"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/speedData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingSpeedStats']
def player_screen_def():
"""
returns synergy off screen defense data for all players this season
returns:
players (list): all qualified player's off screen defense stats
each player is a dict with the following available keys
["PlayerIDSID","PlayerFirstName","PlayerLastName","PlayerNumber","P",
"TeamIDSID","TeamName","TeamNameAbbreviation","TeamShortName","GP","Poss",
"Time","Points","FGA","FGM","PPP","WorsePPP","BetterPPP","PossG","PPG",
"FGAG","FGMG","FGmG","FGm","FG","aFG","FT","TO","SF","PlusOne","Score"]
"""
endpoint = 'http://stats.nba.com/js/data/playtype/player_OffScreen.js'
response = utils.get_response(endpoint, None)
# yes there is a typo in the endpoint
return response['Deffensive']
def team_touches(season):
"""
returns sportsvu touches data for all teams
args:
season
returns:
teams (list): touches data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","TCH","FC_TCH","TOP","CL_TCH","EL_TCH","PTS","PTS_TCH","PTS_HCCT",
"TCH_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/touchesTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingTouchesStats']
def team_speed(season):
"""
returns sportsvu speed data for all teams
args:
season
returns:
teams (list): speed data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","DIST","AV_SPD","DIST_PG","DIST_48","DIST_OFF","DIST_DEF",
"AV_SPD_OFF","AV_SPD_DEF"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/speedTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingSpeedStats']
def player_speed(season):
"""
returns sportsvu speed data for all players
args:
season
returns:
players (list): speed data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","DIST","AV_SPD","DIST_PG","DIST_48","DIST_OFF","DIST_DEF",
"AV_SPD_OFF","AV_SPD_DEF"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/speedData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingSpeedStats']
def player_defense(season):
"""
returns sportsvu defense data for all players
args:
season
returns:
players (list): defense data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","BLK","STL","FGM_DEFEND_RIM","FGA_DEFEND_RIM","FGP_DEFEND_RIM",
"BLK_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/defenseData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingDefenseStats']
def team_passing(season):
"""
returns sportsvu passing data for all teams
args:
season
returns:
teams (list): passing data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PASS","AST","AST_FT","AST_SEC","AST_POT","PTS_CRT","PTS_CRT_48",
"AST_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/passingTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingPassingStats']
def player_pull_up(season):
"""
returns sportsvu pull up shooting data for all players
args:
season
returns:
players (list): pull up shooting data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PTS","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","EFG_PCT",
"PTS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/pullUpShootData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingPullUpShootStats']
def player_touches(season):
"""
returns sportsvu touches data for all players
args:
season
returns:
players (list): touches data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","TCH","FC_TCH","TOP","CL_TCH","EL_TCH","PTS","PTS_TCH","PTS_HCCT",
"TCH_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/touchesData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingTouchesStats']
def team_defense(season):
"""
returns sportsvu defense data for all teams
args:
season
returns:
teams (list): defense data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","BLK","STL","FGM_DEFEND_RIM","FGA_DEFEND_RIM","FGP_DEFEND_RIM",
"BLK_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/defenseTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingDefenseStats']
def player_passing(season):
"""
returns sportsvu passing data for all players
args:
season
returns:
players (list): passing data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PASS","AST","AST_FT","AST_SEC","AST_POT","PTS_CRT","PTS_CRT_48",
"AST_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/passingData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingPassingStats']
def team_catch_shoot(season):
"""
returns sportsvu catch and shoot data for all teams
args:
season
returns:
teams (list): catch and shoot data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PTS","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","EFG_PCT",
"PTS_TOT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/catchShootTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingCatchShootStats']
def boxscore(game_id):
"""
return boxscore for a given game
args:
game_id (int)
returns:
players (list): players that played in given game and their stats
each player is a dict with the following available keys
["GAME_ID","TEAM_ID","TEAM_ABBREVIATION","TEAM_CITY","PLAYER_ID",
"PLAYER_NAME","START_POSITION","COMMENT","MIN","FGM","FGA","FG_PCT",
"FG3M","FG3A","FG3_PCT","FTM","FTA","FT_PCT","OREB","DREB","REB",
"AST","STL","BLK","TO","PF","PTS","PLUS_MINUS"]
"""
endpoint = 'http://stats.nba.com/stats/boxscoretraditionalv2'
payload = {"GameID": game_id, "StartPeriod": 1, "EndPeriod": 10}
response = utils.get_response(endpoint, payload)
return response['PlayByPlay']
def team_leaders_from_date(date):
"""
return statistical leaders for teams that play on given date
args:
date (string): format=mm/dd/yyyy
returns:
teams (list): teams that played on the given date and their statistical
leaders
each team is a dict with the following available keys
["GAME_ID","TEAM_ID","TEAM_CITY","TEAM_NICKNAME","TEAM_ABBREVIATION",
"PTS_PLAYER_ID","PTS_PLAYER_NAME","PTS","REB_PLAYER_ID","REB_PLAYER_NAME",
"REB","AST_PLAYER_ID","AST_PLAYER_NAME","AST"]
"""
endpoint = 'http://stats.nba.com/stats/scoreboardv2'
payload = {'DayOffset': '0', 'LeagueID': '00', 'gameDate': date}
response = utils.get_response(endpoint, payload)
return response['TeamLeaders']
def player_shooting(season):
"""
returns sportsvu shooting data for all players
args:
season
returns:
players (list): shooting data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PTS","PTS_DRIVE","FGP_DRIVE","PTS_CLOSE","FGP_CLOSE",
"PTS_CATCH_SHOOT","FGP_CATCH_SHOOT","PTS_PULL_UP","FGP_PULL_UP",
"FGA_DRIVE","FGA_CLOSE","FGA_CATCH_SHOOT","FGA_PULL_UP","EFG_PCT","CFGM",
"CFGA","CFGP","UFGM","UFGA","UFGP","CFG3M","CFG3A","CFG3P","UFG3M",
"UFG3A","UFG3P"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/shootingData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingShootingEfficiencyStats']
def schedule_from_date(date):
"""
return games that happen on given date
args:
date (string): format=mm/dd/yyyy
returns:
games (list): games that happen that day
each game is a dict with the following available keys
["GAME_DATE_EST","GAME_SEQUENCE","GAME_ID","GAME_STATUS_ID",
"GAME_STATUS_TEXT","GAMECODE","HOME_TEAM_ID","VISITOR_TEAM_ID",
"SEASON","LIVE_PERIOD","LIVE_PC_TIME",
"NATL_TV_BROADCASTER_ABBREVIATION","LIVE_PERIOD_TIME_BCAST",
"WH_STATUS"]
"""
endpoint = 'http://stats.nba.com/stats/scoreboardv2'
payload = {'DayOffset': '0', 'LeagueID': '00', 'gameDate': date}
response = utils.get_response(endpoint, payload)
return response['GameHeader']
def player_rebounding(season):
"""
returns sportsvu rebounding data for all players
args:
season
returns:
players (list): rebounding data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","REB","REB_CHANCE","REB_COL_PCT","REB_CONTESTED","REB_UNCONTESTED",
"REB_UNCONTESTED_PCT","REB_TOT","OREB","OREB_CHANCE","OREB_COL_PCT",
"OREB_CONTESTED","OREB_UNCONTESTED","OREB_UNCONTESTED_PCT","DREB",
"DREB_CHANCE","DREB_COL_PCT","DREB_CONTESTED","DREB_UNCONTESTED",
"DREB_UNCONTESTED_PCT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/reboundingData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingReboundingStats']
def team_shooting(season):
"""
returns sportsvu shooting data for all teams
args:
season
returns:
teams (list): shooting data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PTS","PTS_DRIVE","FGP_DRIVE","PTS_CLOSE","FGP_CLOSE",
"PTS_CATCH_SHOOT","FGP_CATCH_SHOOT","PTS_PULL_UP","FGP_PULL_UP",
"FGA_DRIVE","FGA_CLOSE","FGA_CATCH_SHOOT","FGA_PULL_UP","EFG_PCT",
"CFGM","CFGA","CFGP","UFGM","UFGA","UFGP","CFG3M","CFG3A","CFG3P",
"UFG3M","UFG3A","UFG3P"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/shootingTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingShootingEfficiencyStats']
def team_rebounding(season):
"""
returns sportsvu rebounding data for all teams
args:
season
returns:
teams (list): rebounding data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","REB","REB_CHANCE","REB_COL_PCT","REB_CONTESTED","REB_UNCONTESTED",
"REB_UNCONTESTED_PCT","REB_TOT","OREB","OREB_CHANCE","OREB_COL_PCT",
"OREB_CONTESTED","OREB_UNCONTESTED","OREB_UNCONTESTED_PCT","DREB",
"DREB_CHANCE","DREB_COL_PCT","DREB_CONTESTED","DREB_UNCONTESTED",
"DREB_UNCONTESTED_PCT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/reboundingTeamData.json' % util.season_to_int(season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingReboundingStats']
def league_lineups(season):
"""
return lineups that have played in given season
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
lineups (list): lineups that have played in the season
each lineup is a dict with the following available keys
["GROUP_SET","GROUP_ID","GROUP_NAME","TEAM_ID","TEAM_ABBREVIATION","GP",
"W","L","W_PCT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM",
"FTA","FT_PCT","OREB","DREB","REB","AST","TOV","STL","BLK","BLKA","PF",
"PFD","PTS","PLUS_MINUS"]
"""
endpoint = 'http://stats.nba.com/stats/leaguedashlineups'
payload = {
"MeasureType": "Base",
"PerMode": "PerGame",
"PlusMinus": "N",
"PaceAdjust": "N",
"Rank": "N",
"LeagueID": "00",
"Season": util.cleanse_season(season),
"SeasonType": "Regular Season",
"Outcome": None,
"Location": None,
"Month": 0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID": 0,
"VsConference": None,
"VsDivision": None,
"GameSegment": None,
"Period": 0,
"LastNGames": 0,
"GroupQuantity": 5
}
response = utils.get_response(endpoint, payload)
return response['Lineups']
def league_lineups(season):
"""
return lineups that have played in given season
args:
season: format ex: '1999-00', also accepts 1999 or 99
returns:
lineups (list): lineups that have played in the season
each lineup is a dict with the following available keys
["GROUP_SET","GROUP_ID","GROUP_NAME","TEAM_ID","TEAM_ABBREVIATION","GP",
"W","L","W_PCT","MIN","FGM","FGA","FG_PCT","FG3M","FG3A","FG3_PCT","FTM",
"FTA","FT_PCT","OREB","DREB","REB","AST","TOV","STL","BLK","BLKA","PF",
"PFD","PTS","PLUS_MINUS"]
"""
endpoint = 'http://stats.nba.com/stats/leaguedashlineups'
payload = {
"MeasureType": "Base",
"PerMode": "PerGame",
"PlusMinus": "N",
"PaceAdjust": "N",
"Rank": "N",
"LeagueID": "00",
"Season": util.cleanse_season(season),
"SeasonType": "Regular Season",
"Outcome": None,
"Location": None,
"Month": 0,
"SeasonSegment": None,
"DateFrom": None,
"DateTo": None,
"OpponentTeamID": 0,
"VsConference": None,
"VsDivision": None,
"GameSegment": None,
"Period": 0,
"LastNGames": 0,
"GroupQuantity": 5
}
response = utils.get_response(endpoint, payload)
return response['Lineups']
def player_info(player_id):
"""
return a players information
args:
player_id (int)
returns:
info (dict)
info is a dict with the following available keys
["PERSON_ID","FIRST_NAME","LAST_NAME","DISPLAY_FIRST_LAST",
"DISPLAY_LAST_COMMA_FIRST","DISPLAY_FI_LAST","BIRTHDATE","SCHOOL",
"COUNTRY","LAST_AFFILIATION","HEIGHT","WEIGHT","SEASON_EXP","JERSEY",
"POSITION","ROSTERSTATUS","TEAM_ID","TEAM_NAME","TEAM_ABBREVIATION",
"TEAM_CODE","TEAM_CITY","PLAYERCODE","FROM_YEAR","TO_YEAR",
"DLEAGUE_FLAG"]
"""
endpoint = 'http://stats.nba.com/stats/commonplayerinfo'
payload = {"PlayerID": player_id, "LeagueID": "00"}
response = utils.get_response(endpoint, payload)
return response['CommonPlayerInfo']
def team_shooting(season):
"""
returns sportsvu shooting data for all teams
args:
season
returns:
teams (list): shooting data for all teams
each team is a dict with the following available keys
["TEAM_ID","TEAM_CITY","TEAM_NAME","TEAM_ABBREVIATION","TEAM_CODE","GP",
"MIN","PTS","PTS_DRIVE","FGP_DRIVE","PTS_CLOSE","FGP_CLOSE",
"PTS_CATCH_SHOOT","FGP_CATCH_SHOOT","PTS_PULL_UP","FGP_PULL_UP",
"FGA_DRIVE","FGA_CLOSE","FGA_CATCH_SHOOT","FGA_PULL_UP","EFG_PCT",
"CFGM","CFGA","CFGP","UFGM","UFGA","UFGP","CFG3M","CFG3A","CFG3P",
"UFG3M","UFG3A","UFG3P"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/shootingTeamData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['TeamTrackingShootingEfficiencyStats']
def player_rebounding(season):
"""
returns sportsvu rebounding data for all players
args:
season
returns:
players (list): rebounding data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","REB","REB_CHANCE","REB_COL_PCT","REB_CONTESTED","REB_UNCONTESTED",
"REB_UNCONTESTED_PCT","REB_TOT","OREB","OREB_CHANCE","OREB_COL_PCT",
"OREB_CONTESTED","OREB_UNCONTESTED","OREB_UNCONTESTED_PCT","DREB",
"DREB_CHANCE","DREB_COL_PCT","DREB_CONTESTED","DREB_UNCONTESTED",
"DREB_UNCONTESTED_PCT"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/reboundingData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingReboundingStats']
def player_shooting(season):
"""
returns sportsvu shooting data for all players
args:
season
returns:
players (list): shooting data for all players
each player is a dict with the following available keys
["PLAYER_ID","PLAYER","FIRST_NAME","LAST_NAME","TEAM_ABBREVIATION","GP",
"MIN","PTS","PTS_DRIVE","FGP_DRIVE","PTS_CLOSE","FGP_CLOSE",
"PTS_CATCH_SHOOT","FGP_CATCH_SHOOT","PTS_PULL_UP","FGP_PULL_UP",
"FGA_DRIVE","FGA_CLOSE","FGA_CATCH_SHOOT","FGA_PULL_UP","EFG_PCT","CFGM",
"CFGA","CFGP","UFGM","UFGA","UFGP","CFG3M","CFG3A","CFG3P","UFG3M",
"UFG3A","UFG3P"]
"""
endpoint = 'http://stats.nba.com/js/data/sportvu/%s/shootingData.json' % util.season_to_int(
season)
response = utils.get_response(endpoint, None)
return response['PlayerTrackingShootingEfficiencyStats']
def team_coaching_staff(team_id, season):
"""
return a given team's coaching staff
args:
team_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
coaches (list):
each coach is a dict with the following available keys
["TEAM_ID","SEASON","COACH_ID","FIRST_NAME","LAST_NAME","COACH_NAME",
"COACH_CODE","IS_ASSISTANT","COACH_TYPE","SCHOOL","SORT_SEQUENCE"]
"""
endpoint = 'http://stats.nba.com/stats/commonteamroster'
payload = {
"TeamID": team_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season)
}
response = utils.get_response(endpoint, payload)
return response['CommonTeamRoster']
def team_roster(team_id, season):
"""
return players on a team (only current players if this season)
args:
team_id (int)
season: format ex: '1999-00', also accepts 1999 or 99
returns:
players (list): players on roster
each player is a dict with the following available keys
["TeamID","SEASON","LeagueID","PLAYER","NUM","POSITION","HEIGHT",
"WEIGHT","BIRTH_DATE","AGE","EXP","SCHOOL","PLAYER_ID"]
"""
endpoint = 'http://stats.nba.com/stats/commonteamroster'
payload = {
"TeamID": team_id,
"LeagueID": "00",
"Season": utils.cleanse_season(season)
}
response = utils.get_response(endpoint, payload)
return response['CommonTeamRoster']
