Sports Analytics 101

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. This series will start by breaking down the why in sports analytics, shedding light on the reasons that sports analytics is useful, before diving into the how, exploring some of the ways sports analytics is implemented.

Below you’ll find an index of all currently available installments in the series, which will be updated as new installments are released.

The “Why”

The Case for Sports Analytics

Team Use Cases (Part 1)

Team Use Cases (Part 2)

League Use Cases

Media Use Cases

The “How”

A Framework for Metrics

Facts and Proxies

Descriptive vs. Predictive

Productivity vs. Style

Adjusting for Opportunity

Blind Spots

Metric Framework Examples