For the Sports Business Analytics class we are doing a little cluster analysis (okay a lot)on NHL hockey team salaries and points.
Sports unions are a bit of a quandary. In part I think it has to do with the widespread differences in talent and therefore earnings potential within the union membership.
The recent article on women’s hockey in Grand Forks and at the University of North Dakota is an interesting read (link). What is more interesting is the additional discussion I heard on Bloomberg radio this morning. The discussants on “Surveillance” thought it sad and unfortunate, going so far as to suggest that North Dakota was awash in oil money, private companies were flush with profits, and they could not find a way to make it work. There was also a suggestion the state is unable to overcome a culture biased against women playing such a physical sport.
A colleague and I are working on a predictive analytic model for hockey. Why? Because there is data available, and it seems a nice extension and a fun thing to do. And I really like working with numbers and analyzing data.
At the Cubs game last week they informed the crowd that Kris Bryant was only the 15th MLB player to win Rookie of the Year, MVP, and play on a World Series winner. I figured out the others. Feel free to comment with answers!