I have added another pane to my 2012-13 ASPM/VORP Tableau Visualization, allowing a better look at the distribution of talent across positions in the NBA. Powered by Tableau The new position vs. ASPM chart is quite interesting: there is an amazing lack of talent/performance right now at the 2,3, and 4 positions outside of a … [Read more…]
A week ago, I discussed overrated and underrated players over the past 12 years, evaluated by comparing popular box-score stats with Jeremias Engelmann’s 12 year average Regularized Adjusted Plus/Minus (RAPM) dataset. For a primer on the virtues of RAPM (in large samples), see my article reviewing the state-of-the-art of adjusted plus/minus and stabilization. This time, … [Read more…]
In several of my recent articles, I have been using Jeremias Engelmann’s 12 year average RAPM dataset. Here, I will look at what players may have been underrated or overrated by even advanced stats over the course of the last 12 years. I decided to use PER and WS/48 as my advanced stats to compare … [Read more…]
One of the big ongoing questions in NBA stats and player valuation is where to set “replacement level”. I believe an empirical approach to determining that level is best. Jeremias Engelmann has produced an outstanding resource in his 12 year average RAPM data. Since so many years are used, it is quite stable; however, one … [Read more…]
This is a completely non-sports post, but I had the data and visualization (created for my own use) and thought I should post it online. I have compiled, from the Hardware.fr series on return rates of computer components, a database of component return rates. Having that data, I, of course, felt the need to first … [Read more…]
Inspired by Evan Zamir’s use of a treemap to visualize WARP over at The City, I created a treemap to visualize ASPM VORP for the 2012 season-to-date. I used Google Docs and the treemap-gviz widget to construct the visualization. I used the latest iteration of the ASPM framework to compile the data, and selected for … [Read more…]