The NHL package offers multiple modules which can be used to retrieve information and statistics for the National Hockey League, such as team names, season stats, game schedules, and boxscore metrics.
The Boxscore module can be used to grab information from a specific game. Metrics range from number of goals scored to the number of penalty minutes, to the save percentage and much more. The Boxscore can be easily queried by passing a boxscore's URI on sports-reference.com which can be retrieved from the Schedule class (see Schedule module below for more information on retrieving game-specific information).
from sportsreference.nhl.boxscore import Boxscore
game_data = Boxscore('201806070VEG')
print(game_data.home_goals) # Prints 3
print(game_data.away_goals) # Prints 4
df = game_data.dataframe # Returns a Pandas DataFrame of game metricsThe Boxscore module also contains a Boxscores class which searches for all games played on a particular day and returns a dictionary of matchups between all teams on the requested day. The dictionary includes the names and abbreviations for each matchup as well as the boxscore link if applicable.
from datetime import datetime
from sportsreference.nhl.boxscore import Boxscores
games_today = Boxscores(datetime.today())
print(games_today.games) # Prints a dictionary of all matchups for todayThe Boxscores class also allows the ability to query over a range of dates using a second optional parameter during instantiation of the class. To query a range of dates, enter the start date as the first parameter and the inclusive end date as the second parameter.
from datetime import datetime
from sportsreference.nhl.boxscore import Boxscores
# Pulls all games between and including February 4, 2017 and February 5,
# 2017
games = Boxscores(datetime(2017, 2, 4), datetime(2017, 2, 5))
# Prints a dictionary of all results from February 4, 2017 and February 5,
# 2017
print(games.games)sportsreference.nhl.boxscore
The Player module contains an abstract base class that can be inherited by both the BoxscorePlayer and Player classes in the Boxscore and Roster modules, respectively. All of the properties that appear in the AbstractPlayer class can be read from either of the two child classes mentioned above.
sportsreference.nhl.player
The Roster module contains detailed player information, allowing each player to be queried by their player ID using the Player class which has detailed information ranging from career points totals to single-season stats and player height and weight. The following is an example on collecting career information for Henrik Zetterberg:
from sportsreference.nhl.roster import Player
zetterberg = Player('zettehe01')
print(zetterberg.name) # Prints 'Henrik Zetterberg'
print(zetterberg.points) # Prints Zetterberg's career points total
# Prints a Pandas DataFrame of all relevant Zetterberg stats per season
print(zetterberg.dataframe)By default, the player's career stats are returned whenever a property is called. To get stats for a specific season, call the class instance with the season string. All future property requests will return the season-specific stats.
from sportsreference.nhl.roster import Player
zetterberg = Player('zettehe01') # Currently pulling career stats
print(zetterberg.points) # Prints Zetterberg's CAREER points total
# Prints Zetterberg's points total only for the 2017-18 season.
print(zetterberg('2017-18').points)
# Prints the number of games Zetterberg played in the 2017-18 season.
print(zetterberg.games_played)After requesting single-season stats, the career stats can be requested again by calling the class without arguments or with the 'Career' string passed.
from sportsreference.nhl.roster import Player
zetterberg = Player('zettehe01') # Currently pulling career stats
# Prints Zetterberg's points total only for the 2017-18 season.
print(zetterberg('2017-18').points)
print(zetterberg('Career').points) # Prints Zetterberg's career points totalIn addition, the Roster module also contains the Roster class which can be used to pull all players on a team's roster during a given season and creates instances of the Player class for each team member and adds them to a list to be easily queried.
from sportsreference.nhl.roster import Roster
detroit = Roster('DET')
for player in detroit.players:
# Prints the name of all players who played for Houston in the most
# recent season.
print(player.name)sportsreference.nhl.roster
The Schedule module can be used to iterate over all games in a team's schedule to get game information such as the date, score, result, and more. Each game also has a link to the Boxscore class which has much more detailed information on the game metrics.
from sportsreference.nhl.schedule import Schedule
detroit_schedule = Schedule('DET')
for game in detroit_schedule:
print(game.date) # Prints the date the game was played
print(game.result) # Prints whether the team won or lost
# Creates an instance of the Boxscore class for the game.
boxscore = game.boxscoresportsreference.nhl.schedule
The Teams module exposes information for all NHL teams including the team name and abbreviation, the number of games they won during the season, the total number of shots on goal, and much more.
from sportsreference.nhl.teams import Teams
teams = Teams()
for team in teams:
print(team.name) # Prints the team's name
print(team.shots_on_goal) # Prints the team's total shots on goalEach Team instance contains a link to the Schedule class which enables easy iteration over all games for a particular team. A Pandas DataFrame can also be queried to easily grab all stats for all games.
from sportsreference.nhl.teams import Teams
teams = Teams()
for team in teams:
schedule = team.schedule # Returns a Schedule instance for each team
# Returns a Pandas DataFrame of all metrics for all game Boxscores for
# a season.
df = team.schedule.dataframe_extendedLastly, each Team instance also contains a link to the Roster class which enables players from the team to be easily queried. Each Roster instance contains detailed stats and information for each player on the team.
from sportsreference.nhl.teams import Teams
teams = Teams()
for team in teams:
# Creates an instance of the roster class for each player on the team.
roster = team.roster
for player in roster.players:
print(player.name) # Prints the name of each player on the team.sportsreference.nhl.teams