![]() We thank the federations, leagues, clubs, scouting organizations and agencies for using our system and supporting us in our efforts to make a difference in hockey. SportContract provides a transparent, reliable, and fair pricing structure. SportContract is your team’s external department, working hand in hand with your staff – a long-term partner to your club. This project is inspired by the R package nhlscrapr, an all around must for NHL analytics geeks and R. The library hides the guts of the NHL website scraping process and encapsulates not only the data gathering, but data output. We demonstrate our dedication and loyalty with fast releases of new features and continuous development of tools and modules – in close collaboration with our partner clubs. Provide a Python API for accessing NHL game data including play by play, game summaries, player stats et c. SportContract enables team managers, staff, players, scouts and agents to gain valuable insight and more time to focus on advancing the game. Stay up-to-date on your favorite NHL teams, or create your dream fantasy hockey league with the NHL Stats API. We invest in first-class developers, data analysts, taggers, QA staff and high-end infrastructure to create superior IT Solutions and Services. A centralized location for all the NHL stats you need. More Hockey Stats Hockey Elo Ratings NHL Errata Hosted by 1and1 Powered by. SportContract is a lean company that does not employ sales or marketing teams to expand the business because we have full confidence in the quality of our services and support. For the earlier years theres an API query by date. Streamlined companies retain dedicated and highly motivated teams that develop software with creative ideas and passion for hockey. parseofficial (json) source nhl.statsapi. We are becoming one of the most versatile hockey analytics & scouting systems in the world.īy providing modules that reflect real-life organizational departments combined with a highly intuitive system, we support our partners in building their teams’ success with a competitive advantage. parselocation (json, gametime, flipsides) source nhl.statsapi. Default - totals (splitId 0):teamId : integer : To get statistics for the coach above on one team only, enter team ID. Otherwise, the entered split is returned. The NHL Scraper API is a free Python library provided under Apache License version 2.0.About Us SportContract Official Partner of Federations, Leagues and Clubs Next Generation All-in-One Video Analytics & Scouting SolutionĪuthentic and rooted in hockey, SportContract keeps inventing and developing new ways to improve professional sports analytics and scouting, built on top of the latest technologies. If omitted, only total stats (splitId 0) will be returned. Currently, Play-by-Play, Home/Away TOI, Roster, Face-off Comparison and Event Summary reports are functional. The first full stable release (v1.0.0) will be made available once the framework for all NHL game reports are completed. This is a pre-release and is not stable and fully fit for production. away_coach )) # scrape all remaining reports game. Regular # regular season game game_key = GameKey ( season, game_type, game_num ) # define stat types that will be counted as the plays are parsed cum_stats = '. from import Game, GameKey, GameType from import Score, ShotCt, Corsi, Fenwick season = 2014 # 2013-2014 season game_num = 1226 # game_type = GameType. Scrape data for game 1226 of 2014, Ottawa vs Pittsburgh. The documentation for the package can be found at nhlscrapi: NHL Scraper API. Getting started is as easy as: pip install nhlscrapiįor more information on the setup, see the PyPi: nhlscrapi. Currently, the package support most of the game summary reports, but all of the important and essential ones. Nhlscrapi is in the early/initial stages, but will be updated regularly. ![]() The Gold Standard for advanced European Hockey Data. ![]() By the end we'll know exactly which endpoints to hit for the in. Advanced Video Analytics & Data for GMs, Coaches, Analysts and Scouts. This project is inspired by the R package nhlscrapr, an all around must for NHL analytics geeks and R power users. In this episode I show you how to find your favorite NHL team and player using the Stats API. This includes information on players, teams, games, tournaments, drafts, standings. The library hides the guts of the NHL website scraping process and encapsulates not only the data gathering, but data output. Retrieves and processes the data exposed by the open NHL API. Provide a Python API for accessing NHL game data including play by play, game summaries, player stats et c.
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