Interesting article on some of the challenges of sports analytics for games like hockey. Obviously player and puck trajectory tracking would enable more detailed information about player strengths. However it's the efficacy and quality of questions and analysis employed that will evaluate and determine the how/where/when and why a player dominates on the ice, or does not. This is where analytics could prospectively inform a competitive advantage.
https://www.technologyreview.com/s/6...set/id/600954/
Quote:
The big challenge in sports science is to use this data to gain a competitive advantage, whether in real time during the game or to help in training, preparation, or recruitment. But while researchers have made significant progress, there are also important hurdles barring the way.
One of the most significant involves understanding how players can dominate parts of the pitch near them. In sports science, a player’s dominant region is the region he or she can reach before any other player. A simple way to calculate this is to draw a Voronoi diagram, which divides the pitch into the regions closest to each player (see diagram).
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MIT Tech Review: Big Data & Sports Science
