Sports Analytics Methods – Euclidean Distances



This is a review of the NBA research conducted by Philip Maymin, applying Euclidean Distances to measure pace and acceleration. Basketball coaches illustrate plays using x’s and o’s on a white board along with verbal instructions regarding the pacing of the play.  This creates a barrier to creating a method to objectively measure execution and… The post Sports Analytics Methods – Euclidean Distances appeared first on Agile Sports Analytics.

https://www.agilesportsanalytics.com/sports-analytics-euclidean-distances/

Comments

Post a Comment

Popular posts from this blog

Sports Analytics – Data Science Methods

It’s a great day in sports analytics! Today I’m going to briefly discuss data science methods and the role they play in sports. The use of data science in sports is growing. We have seen some examples in the soccer, basketball, the Olympic games, national and international competitions and the list goes on. This is… The post Sports Analytics – Data Science Methods appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-data-science/
Read more

Agile Sports Roles - Team Architect

The agile sports team architecture is a key source of success and risk, and the architect is responsible for ensuring the team is built around players that complement each other, fit the team identity and can build and sustain value. The architect is... https://www.agilesportsanalytics.com/?p=389
Read more