Skip to main content

WeakSide Breakout's complete Python package of access to hockey data, primairly including the scraping of National Hockey League schedule, play-by-play, and shifts information.

Project description

WSBA HOCKEY

WSBA128

A Python package for scraping and analyzing hockey data under the motto: Evaluating, analyzing, and understanding the game of hockey through the lens of different analytical methods, including incorporation of analytics.

INSTALLATION AND USAGE

pip install wsba_hockey
import wsba_hockey as wsba

ALL FEATURES

Note: Features yet included are marked with *

SCRAPING

NHL Play-by-Play (of any game frame up to a full season)

Functions:

wsba.nhl_scrape_game(['2024020918'],split_shifts=False,remove=['game-end'])
wsba.nhl_scrape_season('20242025',split_shifts=False,remove=['game-end'],local=True)

NHL Season Information

wsba.nhl_scrape_schedule('20242025')
wsba.nhl_scrape_seasons_info(seasons=['20212022','20222023','20232024','20242025'])
wsba.nhl_scrape_standings(arg = '2024-03-20')

NHL Rosters and Player Information

wsba.nhl_scrape_roster('20242025')
wsba.nhl_scrape_team_info()

NHL Draft Rankings and Prospects

wsba.nhl_scrape_draft_rankings()
wsba.nhl_scrape_prospects('BOS')

DATA ANALYTICS

Expected Goals

pbp = wsba.nhl_scrape_game(['2024020918'],split_shifts=False,remove=['game-end'])
pbp = wsba.nhl_apply_xG(pbp)

Goal Impacts and Shot Analysis

Stat Aggregation

pbp = wsba.nhl_scrape_season('20232024',remove=[], local = True)
wsba.nhl_calculate_stats(pbp,'skater',[2],['5v5','4v4','3v3'],shot_impact = True)

Shot Plotting (Plots, Heatmaps, etc.)

skater_dict = {
    'Patrice Bergeron':['20212022','BOS']
}
pbp = wsba.nhl_scrape_season('20212022',remove=[], local = True)

wsba.nhl_plot_skaters_shots(pbp,skater_dict,['5v5'],onice='for',legend=True)
wsba.nhl_plot_games(pbp,legend=True)

REPOSITORY

Past Season Play-by-Play

wsba.repo_load_pbp(seasons=['20212022','20222023','20232024','20242025'])

Team Information

wsba.repo_load_teaminfo()
wsba.repo_load_rosters(seasons=['20212022','20222023','20232024','20242025'])

Schedule

wsba.repo_load_schedule(seasons=['20212022','20222023','20232024','20242025'])

ACKNOWLEDGEMENTS AND CREDITS

Huge thanks to the following:

Harry Shomer - Creator of the hockey_scraper package, which contains select utils functions within this package and otherwise inspires the creation of this package.

Dan Morse - Creator of the hockeyR package; another important inspiration and model for developing an NHL scraper.

Patrick Bacon - Creator of TopDownHockey package

Anyone in the NHL Public Analytics community who has stuck around and supported WeakSide Breakout Analysis hockey.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wsba_hockey-1.1.8.tar.gz (738.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wsba_hockey-1.1.8-py3-none-any.whl (830.1 kB view details)

Uploaded Python 3

File details

Details for the file wsba_hockey-1.1.8.tar.gz.

File metadata

  • Download URL: wsba_hockey-1.1.8.tar.gz
  • Upload date:
  • Size: 738.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for wsba_hockey-1.1.8.tar.gz
Algorithm Hash digest
SHA256 bd2a8163130d2c398be2fe4e55feb157f058c448edf21affe28fb4d810f454c4
MD5 099eabb90612ec1d0880815cae1eb2e7
BLAKE2b-256 53149fc0631506c05fd02793d83d38c6a9d3348675c6bc60df9328a40d0d4b35

See more details on using hashes here.

File details

Details for the file wsba_hockey-1.1.8-py3-none-any.whl.

File metadata

  • Download URL: wsba_hockey-1.1.8-py3-none-any.whl
  • Upload date:
  • Size: 830.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for wsba_hockey-1.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 3f1c46855b33d04593cd9c1aa57f5a4003b26c14e7d85dc4ebcb0b29fbf16eac
MD5 7ab14399112743b109fabbe0b7eedf71
BLAKE2b-256 75588836b12be02422e62512d5ba05fabb4e813158e97e5f36759e8a15b2d459

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page