Advanced Statistical Plus/Minus (ASPM) is now available for NCAA Division 1 Men’s Basketball! ASPM was originally derived for the NBA, but the weights found for each event, as well as the methods for adjusting for opposition, should be equally valid for college basketball. The full Tableau visualization will be permanently located at http://godismyjudgeok.com/DStats/aspm-and-vorp/ncaa-advanced-statistical-plus-minus-and-vorp/, under...
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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...
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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...
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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...
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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,...
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This is some old data, used in the derivation & analysis of Advanced Statistical Plus/Minus (ASPM), but I thought I’d repost it here in a more sortable/filterable/useable form. Regularized Adjusted Plus/Minus (RAPM) data from Jeremias Engelmann. Powered by Tableau
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Evan Zamir at The City recently unveiled Adjusted 4-Factors at the individual level, using a 2.5 year sample size and a Ridge Regression approach. The results are very interesting. Here, I’m simply converting his initial work into an interactive visualization. Powered by Tableau
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