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”
Author Archives: Brendan Kent
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”
Sports Analytics 101: League 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. In the previous two posts, we covered the three categories of analytics use cases for teams: in-game strategy, player personnel strategy and sports science.Continue reading “Sports Analytics 101: League Use Cases”
Sports Analytics 101: Team Use Cases (Part 2)
Welcome back to Sports Analytics 101, a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. In the previous post, we covered the first of three categories of analytics use cases for teams: in-game strategy. In this post, we’ll focus on the other two categories: player personnel strategy and sportsContinue reading “Sports Analytics 101: Team Use Cases (Part 2)”
Sports Analytics 101: Team Use Cases (Part 1)
Welcome back to Sports Analytics 101, a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. In the first installment, I outlined at “The Case for Sports Analytics,” diving into the mental and situational constraints that analytics helps alleviate. In this installment, I begin introducing the use cases for sportsContinue reading “Sports Analytics 101: Team Use Cases (Part 1)”
Sports Analytics 101: The Case for Sports Analytics
Welcome to the first installment of Sports Analytics 101, a series of blog posts outlining the core concepts behind sports analytics in non-technical terms. I’m starting this series by breaking down the why in sports analytics, shedding light on the reasons that sports analytics is useful. In future posts, I’ll dive into the how, exploringContinue reading “Sports Analytics 101: The Case for Sports Analytics”
How to Start a Sports Analytics Club
My introduction to sports analytics largely came through my collegiate sports analytics club, the Harvard Sports Analysis Collective (“HSAC”). Through HSAC, I was incredibly fortunate to find a number of mentors, both faculty and students, who helped connect the statistics and data science that I was learning in the classroom to sports. It’s no surpriseContinue reading “How to Start a Sports Analytics Club”
Where to Watch: Sports Analytics Conference Video Archives
Sports analytics conferences are a great way discover new work and learn from industry leaders. They can also be very expensive. Fortunately, a number of conferences post videos of past panels and presentations online. There are hours upon hours of informative content, available at no cost. While you won’t get the networking component of conferencesContinue reading “Where to Watch: Sports Analytics Conference Video Archives”
Coding for Sports Analytics: Resources to Get Started
These days, if you want to work in sports analytics, you need to know how to code. There’s really no way around it. And while that can be scary for someone who’s never written a line of code before, it’s not as daunting as it seems. The reality is that there are a variety ofContinue reading “Coding for Sports Analytics: Resources to Get Started”
