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March 15, 2023

March Madness 2023: Tournament Simulation Results

March 15, 2023

March Madness 2023: Forecasting the NCAA Division I Men’s Basketball Tournament

April 17, 2022

Schadenfreude: Which NBA Teams’ Losses Drew the Most Attention?

NFL

The Wasted Excellence of Deshaun Watson

Posted onJanuary 31, 2021April 15, 2021

In 2020, Deshaun Watson redefined what we thought was possible for a quarterback on a bottom-of-the-barrel NFL team.

NBA

Alvan Adams, the Original Modern Big Man

Posted onNovember 27, 2020April 15, 2021

You may not have heard of Suns center Alvan Adams before, but you’ve likely seen aspects of his game while watching the league’s current best big men.

NBA

Jamal Murray’s Historic Postseason Run

Posted onOctober 10, 2020October 13, 2020

Jamal Murray’s performance in the 2020 playoffs propelled the Nuggets to a Western Conference Finals appearance behind a string of legendary comebacks.

NFL

The NFL’s Most and Least Efficient Shotgun Running Backs

Posted onAugust 11, 2020August 11, 2020

In general, rushing from the shotgun formation is statistically more efficient than other formations. However, there are individual exceptions to this trend.

NBA

Analyzing NBA Lineups With Player Classifications, Part II

Posted onJune 5, 2020June 5, 2020

I recently used machine learning to create a new system for classifying NBA players. Now, this system can be used to analyze and optimize five-man lineups.

NBA

Analyzing NBA Lineups With Player Classifications, Part I

Posted onJune 4, 2020June 4, 2020

I recently used machine learning to create a new system for classifying NBA players. Now, this system can be used to analyze and optimize five-man lineups.

NBA

Determining NBA Player Similarity Through Cluster Analysis

Posted onJune 3, 2020June 3, 2020

Which NBA players are the most similar to one another? This question can be answered through the use of hierarchical agglomerative clustering (HAC).

NBA

Using Machine Learning to Classify NBA Players, Part II

Posted onMay 31, 2020November 12, 2021

The traditional five position system of classifying NBA players is getting outdated. Let’s use machine learning to learn more about what sets players apart.

NBA

Using Machine Learning to Classify NBA Players, Part I

Posted onMay 23, 2020June 4, 2020

The traditional five position system of classifying NBA players is getting outdated. Let’s use machine learning to learn more about what sets players apart.

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