Hockey Pools for Profit: A Simulation Based Player Selection Strategy
The goal of this project is to develop an optimal player selection strategy for a common playoff hockey pool. The challenge is to make the strategy applicable in real time. Most selection methods rely on the draftee's hockey knowledge. Our selection strategy is created by applying appropriate statistical models to regular season data and introducing a reasonable optimality criterion. A simulated draft is performed in order to test our selection method. The results suggest that the new approach is superior to several ad-hoc strategies.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Amy Summers (firstname.lastname@example.org) or her supervisor Tim Swartz (email@example.com), Department of Statistics and Actuarial Science.
29 Septemer 2005.