Ethan Levy (Nylon Calculus): Have you looked at projecting players out of high school into college?
Ken Pomeroy: That’s the next frontier of analytics at the college level. There is a proliferation of elite AAU events where they’re keeping stats. There’s a decent trove of data out there to be analyzed and used for projection. Now there’s a legitimate data set to use to make your decisions. Obviously, for teams like Kentucky and Duke, that’s pretty useless – you can identify who the top players are, you don’t need stats to help you out. For some of these programs that traditionally struggle, I think there’s some good work to be done there to find hidden gems.
Two of the biggest changes in college basketball over the last decade has been the proliferation of analytics and how the organization of the “shoe company leagues” have brought a level of pragmatism to the grassroots scene. In that vein, the work done by Open Look Analytics meets at the nexus of those two trends in allowing college coaches to view the analytic numbers of potential recruits over a large sample size in a highly-competitive environment like Nike EYBL, Under Armour Association or Adidas Gauntlet Series. Open Look Analytics (formerly Group Stats) is a client-based service that offers advanced stats on recruits in the 3 shoe company leagues. Look below at their stats packet for the first weekend of EYBL games. For more info on the service, call John Olita at 631-897-7362 or email him at firstname.lastname@example.org