Basketball, like all sports these days, is getting more data-driven all the time. Teams are looking to data to tell them where to play, what to shoot, and who to double-team in the hopes of eking out a competitive edge. While much of the basketball analytics is hush-hush, the citizen data scientist still has opportunities to glean insights from data that is readily available.
Source: datanami.com
Author: Alex Woodie
Categories: Articles