Basketball analytics content
Data Science in Sports (Talk at Northwestern University)
This past weekend, I was honored to speak to almost 100 Kellogg MBA students about my work in sports analytics.
Basketball
Using NCAA Stats to Predict NBA Draft Order
Intro & Lit Review Predicting the NBA draft is always difficult. Should you draft a player on college statistics, NCAA tournament performance, combine results, potential, […]
Beyond The Arch: A Closer Look at Post-Up Bigs
Beyond The Arch is a series of articles where I use K Means Clustering to better understand how players are used on offense in the […]
Beyond The Arch: A Closer Look at Spot-Up Bigs
Beyond The Arch is a series of articles where I use K Means Clustering to better understand how players are used on offense in the […]
Can they Keep Up? A Look into the Pace Statistic in the NBA
Analytics is taking over the game of basketball in a beautifully informative way. Every metric sheds new light on a teams performance and provides a […]
Remembering Kobe Through Data
I built this visual to remind us the impact that he had on people off the court. It is easy to quantify his basketball data but his impact as a man should not be overlooked.
Beyond The Arch: Brook Lopez’s Evolution
Beyond The Arch is a series of articles where I use K Means Clustering to better understand how players are used on offense in the […]
How Far Should the NBA 3-Point Line Actually Be
The 3-Point shot has changed the incentive structure of basketball. In this analysis I try to find an optimal distance for the line
Beyond The Arch: A Closer Look at Spot-Up Wings
Taking a deeper dive in to the Spot-Up Wing player archetype
Beyond The Arch: A Closer Look at Balanced Playmakers
In my previous article I took a closer look at how the number of On-Ball Playmakers is on the rise and I detailed three examples of the type of player that fit this mold. In this article I will do the same for Balanced Playmakers.