Building Your First Data Pipeline for Hockey Analytics Projects
This week, we go under the covers to guide you how to build your first data pipeline using the NHL API.
New Module for Introduction to Sports Analytics Course
We've just published the third module in our introductory sports analytics course entitled Overview of Statistics and Sports Metrics.
4 Free Data Sources for Your Hockey Analytics Projects
In this newsletter, we outline four hockey data sources that are free for you to use!
Final Predictive Model for the 4 Nations Face-Off Tournament
In our final newsletter on the 4 Nations Face-Off tournament, we build a linear regression model to predict the outcomes of each of the match-ups.
Chart 9: Correlation Plot to Predict Goals
This is the ninth article in our 50 Charts series, which covers the Correlation Plot. In this article, we explore how you can use the correlation plot to predict goals.
4 Nations Face-Off: A Comparative Team Analysis
This is second-last newsletter in the 4 Nations Face-Off series, where we explore the strengths and weaknesses of each of the participating nations through a comparative analysis.
Introduction to Sports Analytics
This post marks the release of our second module for our Introduction to Sports Analytics course. In this module, we'll focus on the common data types in sports analytics.
4 Nations Face-Off: Can Team USA Take it All?
This week explores the final team in our series, which is Team USA, and whether they can beat Canada in the 4 Nations Face-Off tournament.
4 Nations Face-Off: Will Canada Beat the USA?
This is the fourth newsletter in the 4 Nations face-Off serries, where we explore each of the teams to predict who will win the overall tournament. This week, we focus on Team Canada.
