Basketball Analytics: Spatial Tracking

About the Author Stephen Shea is an associate professor of mathematics at Saint Anselm College in Manchester, New Hampshire. He earned a Ph.D. in mathematics from Wesleyan University in Middletown, Connecticut, and a B.A. in mathematics from The College of the Holy Cross in Worcester, Massachusetts. His mathematical expertise and publication record is in the areas of probability, statistics, dynamical systems, and combinatorics. For years, he has been applying his abilities in these areas to study professional and amateur sports. At Saint Anselm College, he runs a course on sports analytics. His sport writing has been featured in the Journal of Quantitative Analysis in Sports, Psych Journal, the Expert Series at WinthropIntelligence.com, and the Stat Geek Idol Competition for TeamRankings.com. In 2013, Stephen coauthored the book, Basketball Analytics: Objective and Efficient Strategies for Understanding How Teams Win, and co-created the accompanying blog BasketballAnalyticsBook.com. He is a regular participant in the MIT Sloan Sports Analytics Conference. He lives with his wife and three children in Hooksett, New Hampshire.

ASIN

1503236277

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/1503236277

How it works

Similar query

25msnearest_to_id → /query

Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.