Predicting NHL Rookie Stats through Machine Learning

• 

  Linear Regression using CHL

• 

  Linear Regression With All Leagues (A bit or a lot of a mess)

• 

  Linear Regression using AHL

• 

  Linear Regression using European Leagues

• 

  Linear Regression using KHL

• 

  Linear Regression using NCAA

Inspiration:

Pretty big hockey fan, been trying to put together my school and hockey passion for a while now

What it does:

Shows Linear Regression best fit lines through a graph of data comparing previous year points per game and NHL projected points per game

How I built it:

Using Scikitlearn and jupyter I built the linear regression graphs through data I hand manipulated... not fun.

Challenges I ran into:

Getting locked out of hockeydb.com server for using an adblocker and searching up too many players was a hassle.

Accomplishments that I'm proud of:

I'm proud I got this done in the 24 hours, I didn't really know what to expect relating to challenges I might face.

What I learned:

I learned a lot about linear regression and more stats.

What's next for hockey_analytics:

Hopefully some more easily accessible data to strengthen our current datasets.

Built With

• jupyter-notebook
• python