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Posts Tagged ‘ Visualization ’

ASPM Notes and Viz Update

December 6, 2012
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ASPM Notes and Viz Update

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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Overrated and Underrated via RAPM (Part 2)

November 10, 2012
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Overrated and Underrated via RAPM (Part 2)

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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Posted in NBA Stats | 6 Comments »

Underrated and Overrated Via RAPM

November 2, 2012
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Underrated and Overrated Via RAPM

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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Posted in NBA Stats | 10 Comments »

RAPM vs. MPG (A Look at Replacement Level)

October 30, 2012
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RAPM vs. MPG (A Look at Replacement Level)

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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Quick Chart: ASPM vs RAPM, 2003-2011

October 3, 2012
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Quick Chart: ASPM vs RAPM, 2003-2011

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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2012 NBA VORP per Game Vizualization

June 5, 2012
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Just playing around with Tagxedo. Here are the top 100 players of the 2012 NBA regular season, as measured by VORP-Gm (VORP per game played), only including play for the team the player ended up with (if traded).
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Computer Component Return Rates

June 1, 2012
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Computer Component Return Rates

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...
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Adjusted 4-Factors Visualization

February 22, 2012
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Adjusted 4-Factors Visualization

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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Posted in NBA Stats | 1 Comment »

Visualization: 2012 VORP Treemap

January 27, 2012
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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...
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Posted in NBA Stats | 2 Comments »

Bayesian Power Ratings: NBA Finals Edition

May 27, 2011
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I have updated my Bayesian Power Ratings, using the techniques described in previous posts: On Bayesian Predictive Efficiency Ratings NBA Final Regular Season Bayesian Efficiency Ratings Here are the Bayesian Ratings, updated through the end of the conference finals:
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Posted in NBA Stats | 2 Comments »

DSMok1 on Twitter

To-Do List

  1. Salary and contract value discussions and charts
  2. Multi-year APM/RAPM with aging incorporated
  3. Revise ASPM based on multi-year RAPM with aging
  4. ASPM within-year stability/cross validation
  5. Historical ASPM Tableau visualizations
  6. Create Excel VBA recursive web scraping tutorial
  7. Comparison of residual exponents for rankings
  8. Comparison of various "value metrics" ability to "explain" wins
  9. Publication of spreadsheets used
  10. Work on using Bayesian priors in Adjusted +/-
  11. Work on K-Means clustering for player categorization
  12. Learn ridge regression
  13. Temporally locally-weighted rankings
  14. WOWY as validation of replacement level
  15. Revise ASPM with latest RAPM data
  16. Conversion of ASPM to" wins"
  17. Lineup Bayesian APM
  18. Lineup RAPM
  19. Learn SQL