nhl-data
There are 0 repository under nhl-data topic.
- Language:R 44
Afischbacher / Nhl.Api
The Official Unofficial .NET NHL API
Language:C# 25Neil-Paine-1 / NHL-Player-And-Team-Ratings
Goals Above Replacement and Elo Rating data for NHL history.
coreyjs / nhl-api-py
NHL API (2024 Updated) - For accessing most of the NHL EDGE statistical API's, scores, schedules and more
Language:Python 13- Language:TypeScript 12
adamcyber1 / hockeydata
A library and CLI tool for scraping NHL data.
Language:Python 7jplecavalier / tidynhl
An R package making it easy to extract NHL data in a tidy format
Language:R 4justinjjlee / NHL-Analytics
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Language:Jupyter Notebook 4RyanSchraeder / StanleyCupPredictions
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.
Language:Jupyter Notebook 2lakenrivet / nhl-ticket-sales-promotions
A ticket sales and game day promotional analysis across the NHL and for the Detroit Red Wings with the creation of a linear regression model to predict fan attendance.
Language:R 1TonyAllenPrice / nhldata
Python Package for accessing various sources of NHL stats (NHL, MoneyPuck, etc.)
Language:Python 1AAZZAZRON / TradeTracker
A Discord bot that scrapes Sportsnet to find the most recent NHL trades and signings.
Language:Python 0Adryene / NHLDraftFirstPicks
NHL Draft First Picks Data Analysis for 1963 - 2023
Language:Jupyter Notebook 0habsgirl19 / NHL_Stats_Zone
Playing with the numbers for NHL stats
0jakearmijo / todays-tilts
A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!
Language:JavaScript 0- Language:Jupyter Notebook 0
JNoel71 / NHL-Expected-Goals-xG-Model
An NHL expected goals (xG) model built with light gradient boosting.
Language:Python 0A k-means clustering analysis performed on NHL player's seasonal stats and a constrained optimization used to build an ideal roster for the Detroit Red Wing's upcoming season.
Language:R 0A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.
Language:R 0melissamonroe / nhl-machine-learning
20 years of NHL data was used to determine player position based on machine learning models. Machine learning models were built using the average summary of statistics across multiple features (goals, assists, shots, etc.). The machine learning models predict the actual primary position of the player with an average accuracy of 85%.
Language:Jupyter Notebook 0pddiii / 2024-NHL-Standings
Predicting the 2024 Stanley Cup champion using machine learning.
Language:R 0pucksmart / pucksmart-py
Data processing code for hockey analytics
Language:Python 0- Language:Jupyter Notebook
