Scraping historical sports data and estimating how well season win percentages represent team skill in various leagues.

Data processing code for hockey analytics

Hockey stats analysis done by scraping the data to a csv file, then processing/analyzing them with more python.

Quantifying sentiment scores across the NFL, NBA, NHL, and MLB using social media data.

A Discord bot that scrapes Sportsnet to find the most recent NHL trades and signings.

AX12

A sports information update ticker.

📆 A YES/NO app to show the answer to: Was There An NHL Game Yesterday ?

Bayesian hierarchical inference and simulation model for NFL football and NHL hockey

A python script for scraping historical team standings data from Sports-Reference.com.

Python Package for accessing various sources of NHL stats (NHL, MoneyPuck, etc.)

Hockey analytics with my Streamlit app

Analysis of the NHL Entry Draft for odds of selecting an NHL player with respect to draft rounds and draft positions.

Get game IDs for use in National Hockey League API calls

Python client for the NHL stats API.

An NHL expected goals (xG) model built with light gradient boosting.

Downloads .json files, of each individual NHL game, from the NHL server. Then grabs some of the data from the files and places it into different data frames.