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

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_heatmap(pbp,skater_dict,['5v5','3v3','4v4'],'Even Strength')
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])

DOCUMENTATION

View full documentation here: WSBA Hockey Package Documentation

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-1.2.8.tar.gz (61.5 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-1.2.8-py3-none-any.whl (63.7 kB view details)

Uploaded Python 3

File details

Details for the file wsba_hockey-1.2.8.tar.gz.

File metadata

  • Download URL: wsba_hockey-1.2.8.tar.gz
  • Upload date:
  • Size: 61.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for wsba_hockey-1.2.8.tar.gz
Algorithm Hash digest
SHA256 426f33e00565eb883fdd4aa49480ffdb20ff2404757df139c63369a62deb9d90
MD5 55a0c1db09a54b916c301f93ea2575fe
BLAKE2b-256 d4e6ba117fd3fdb35b088ffef569de7fc2acf89bbc5dd32649abcad9b8b51ad2

See more details on using hashes here.

File details

Details for the file wsba_hockey-1.2.8-py3-none-any.whl.

File metadata

  • Download URL: wsba_hockey-1.2.8-py3-none-any.whl
  • Upload date:
  • Size: 63.7 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-1.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 b68884ca49ec6db822b0369ba457b801f8f8b18ab40b000a6e0636a584fb7e94
MD5 34734a0e67fa98ef17c32552f321e419
BLAKE2b-256 b3a175fd15c020e12553f7364f5bf1a142c83621bab4ccc112226983123edb47

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