1. Looking For NCAA Success Indicators at Junior Levels
Robert Amzler
Looking For NCAA Success Indicators at Junior Levels

2. Goals What translates to NCAA?
How do different junior leagues compare?
Goals

3. Method: Copying EliteProspects data into Excel, parsing it with MATLAB

4. Dataset: NCAA freshman who played in USHL or AJHL (2010-Present)

5. Using linear models, determine which variables derived from ”box stats” are valuable as predictors

6. Preliminary results show Junior points per game, the win percentage of their NCAA team, changes in points per game year by year, and maybe height can be used to get an accurate prediction

12. The different weighting of the variables allows for comparison between the leagues.

14. Future Work: Learn how to use the API to expand dataset in a more time efficient manner

15. Future Work: Expand to OJHL, NAHL, BCHL, and more

16. Future Work:
Compare predicted results with 17/18 freshmen class

17. Future Work: Figure out what to do with all the collected goalie stats

18. Eventually, this model will be used to evaluate potential recruits

19. Thank you!
@GoodUsualTweets