Future Player Prediction

Contributors: Bradley Behan, Derek Lasker, Abe Rueckert, Zachery Velthoven We decided to use our model to predict how current prospects will perform in the NHL once they make their debuts. The qualifications to be included in this dataset were as follows: Be a forward who has played in one of the three CHL junior leagues. Drafted in the 2017, 2018, or 2019 NHL Entry Draft. … Continue reading Future Player Prediction

A Machine Learning Approach to Player Development: Using Junior League Statistics to predict NHL Scoring

Contributors: Bradley Behan, Derek Lasker, Abe Rueckert, Zachery Velthoven Hockey Analytics is utilized by teams in every league across the world. Statistical methods can be used to evaluate contracts, draft prospects, trades, and player/team evaluation. The area of hockey analytics that is persistently trying to evolve is player success prediction. For our project, we will be using linear regression to estimate player performance over the … Continue reading A Machine Learning Approach to Player Development: Using Junior League Statistics to predict NHL Scoring

Spring 2020 Group Members

Bradley Behan Senior: Statistics major, Computational Math Science and Engineering minor bradbehan87@gmail.com LinkedIn Page Derek Lasker Sophomore: Statistics major dlasker973@gmail.com LinkedIn Page Zachery Velthoven Senior: Actuarial Science major, Computational Math Science and Engineering minor zacheryvelthoven@gmail.com | velthov4@msu.edu LinkedIn Page Abraham Rueckert Senior: Actuarial Science major aberueckert812@gmail.com LinkedIn Page Continue reading Spring 2020 Group Members