Sports Analytics 101: Metric Framework Examples

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. Over the previous six posts, I introduced a “The Metric Framework,” a framework for thinking about an individual sports analytics metric. Here, I’m going to apply theContinue reading “Sports Analytics 101: Metric Framework Examples”

Sports Analytics 101: Blind Spots

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. In an earlier post, I introduced a framework for thinking about an individual sports analytics metric. This framework is essentially mental “paperwork” to fill out whenever youContinue reading “Sports Analytics 101: Blind Spots”

Sports Analytics 101: Adjusting for Opportunity

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. In an earlier post, I introduced a framework for thinking about an individual sports analytics metric. This framework is essentially mental “paperwork” to fill out whenever youContinue reading “Sports Analytics 101: Adjusting for Opportunity”

Sports Analytics 101: Productivity vs. Style

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. In an earlier post, I introduced a framework for thinking about an individual sports analytics metric. This framework is essentially mental “paperwork” to fill out whenever youContinue reading “Sports Analytics 101: Productivity vs. Style”

Languages and Tools to Learn for Sports Analytics

One of the first questions most sports analytics newcomers have is: Which languages and tools do I need to learn to be successful in the field? Learning to code can be a big time investment, and most folks understandably want to make sure they’re spending time on the important stuff. With that in mind, I’veContinue reading “Languages and Tools to Learn for Sports Analytics”

Sports Analytics 101: Descriptive vs. Predictive

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. In an earlier post, I introduced a framework for thinking about an individual sports analytics metric. This framework is essentially mental “paperwork” to fill out whenever youContinue reading “Sports Analytics 101: Descriptive vs. Predictive”

Sports Analytics 101: Facts and Proxies

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. When using the metric framework (introduced in the previous post) to analyze a metric, one of key things we need to establish is whether a metric,Continue reading “Sports Analytics 101: Facts and Proxies”

Sports Analytics 101: A Framework for Metrics

Sports Analytics 101 is a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. Sports analytics revolves around metrics: the numbers that go into a piece of analysis, and the numbers that come out on the other side. In fact, sportsContinue reading “Sports Analytics 101: A Framework for Metrics”

Sports Analytics 101: Media Use Cases

Welcome back to Sports Analytics 101, a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. You can find all available installments in the series here. Thus far, we’ve covered analytics use cases for two key stakeholders: teams and leagues. In this installment, we’ll look at use cases for the media.Continue reading “Sports Analytics 101: Media Use Cases”