NHL Projections
About
Projections, predictions, and analysis derived from NHL season simulations in MATLAB.
You can read the full project report here. The full project code can be found here.
Current Projections
The table below outlines how the season projections (current and original) compares to the actual season.
Model Updated: 10/11/16
| Team | Actual Points (To Date) | Points Projected (To Date) | Point Differential | Current Whole Season Projection | Original Whole Seaon Projection |
|---|
Recent Work
-
11 Oct 2016
Introducing 2016-17 NHL Projections
Last year as the 2015-16 NHL season came to a close, I built a fairly simplistic MATLAB model in an effort to (hopefully accurately) simulate the season. The model was built to take in some amount of past game data and use this to predict game-by-game performances over the entire season, resulting in season-long performances for each team. If you’re interested, you can read the original model report as well as check out the code.
Read More
15 May 2016
After all this learning of PCA and k-means clustering, I wanted to try a small test to see how they would work on some real data. I pulled a bunch of stats for the 30 NHL teams and wanted to see how those could be used to categorize each team making (or not making) the Stanley Cup Playoffs. First I reduced the data to just the key features (using PCA) and then tried clustering from that. And what do you know, it worked!
Read More