We are down to 4 teams in the playoffs, which means 26 teams and their fan bases are anxiously looking forward to the draft. As most know, I’m a huge Oklahoma City Thunder fan. As I look at the many possible places for improvement, one that immediately pops out is our perimeter shooting. The Thunder… Continue reading Forecasting Ideal 3-and-D Players: Part One
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Outperforming Contracts: An Oklahoma City Thunder Case Study (Part 2)
Fellow Baseline Jammers, you were very missed! The previous post examined how much an organization expends to generate a single win share from a specified individual player. However, this data is slightly meaningless without a benchmark to compare to. In this post, we will compare each player of the Thunder’s starting lineup with other starting… Continue reading Outperforming Contracts: An Oklahoma City Thunder Case Study (Part 2)
The Baseline Jam–An Introduction
The backdoor cut--perhaps the most beautiful maneuver in the game of basketball. Defenders are often caught off-guard on a backdoor cut; analogously, the purpose of this blog is to use data analytics to share interesting and not quite visible observations about the NBA. About the blogger: current MBA student who is looking to create a… Continue reading The Baseline Jam–An Introduction
The Baseline Jam 