Looking For NCAA Success Indicators at Junior Levels

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Presentation transcript:

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

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

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

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

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

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

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

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

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

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

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

Eventually, this model will be used to evaluate potential recruits

Thank you! @GoodUsualTweets