Trevor Nill Project Director, Former Michigan State University Hockey Player firstname.lastname@example.org http://www.msuspartans.com/sports/m-hockey/mtt/nill_trevor00.html Albert Cohen Project Director email@example.com Albert Cohen received his Ph.D. from Carnegie Mellon University in 2007 under the supervision of David Kinderlehrer. Dr. Cohen’s research focuses on the interaction between probability and science and economics. This focus began with his work on a stochastic approach to the coarsening of cellular networks, and has since … Continue reading Contact/About Us
Join us Thursday May 4th, as we present our research on hockey analytics! 5:30 @ Wells Hall C304! Continue reading Final Presentations!
Hockey is one of the most complex and fluid sports to try to analyze. To add to the difficulty, rating players on a simple 0 to 10 scale is nearly impossible because players have different roles; Which is why one catch all rating is not feasible. In order to maximize the value of one of the more requested features asked by clients of ICEBERG, our … Continue reading March 2019 Update
Grant Essenmacher Content Editor firstname.lastname@example.org Michigan State University- Bachelor’s of Journalism- 2018 Interests include writing, radio, traveling, social media and sports I chose to be apart of this elite group of student researchers to first learn more about the sport of hockey. The knowledge, effort, and abilities of these students has blown me away. It has also allowed me to refine my skills, particularly when … Continue reading Past Group Members
As a organization dedicated to statistically driven analysis, we naturally have done our own research on the subject to further our own knowledge. These resources/other analytical research range from math to gambling to to a journal on analytics in sports. Here are some of the other helpful resources we have found. Journal of Quantitative Analysis in Sport https://www.degruyter.com/view/j/jqas.2012.8.issue-3/1559-0410.1447/1559-0410.1447.xml?rskey=3Cos8z&result=4&q=NHL Mathletics: How Gamblers, Managers, and Sports Enthusiasts … Continue reading Analytics Resources
We began simulations of our Moneyball team! There are several hurdles to mention that did not make our simulation process the cleanest, but here’s what we were able to do. We used the NHL ’16 video game, which is for the 2015-16 season (we’re testing players and their salaries & stats from the 2016-17 season). Due to this, the video game also doesn’t have a “create … Continue reading Post Group Update #3
Data cleaning is complete. Exact salaries for all players obtained from the 2016-17 NHL season have been matched with minimal manipulation to give all players (except one) an actual monetary value. The next and final stage of our study will be to divide the efficiency ratings of each player by their salaries (given that we come out with a reasonable range of numbers) to find the best … Continue reading Post Group Update #2