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Posts Tagged ‘ Advanced SPM ’

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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2012-2013 ASPM & VORP Released

November 14, 2012
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A quick note: 2012-2013 ASPM & VORP have now been released! See the new 2013 ASPM page. A few early notes: The cream is already rising to the top after 4 to 8 games for each team. LeBron James is #1 in total VORP, with an ASPM almost exactly the same as last year....
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2013 NBA ASPM Team Projections

October 29, 2012
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Here are my 2013 NBA Team Projections, based on my ASPM player projections. For playing time, I roughly used ESPN’s Fantasy Projections, tweaked so each team totaled 475% of the minutes (I assumed the rest of the minutes would go to replacement level (-3.25) players). Here are my regular season projections: I have updated...
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Posted in NBA Stats | 9 Comments »

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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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 »

The Carmelo Trade

February 22, 2011
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The Carmelo Trade

Carmelo Anthony was FINALLY traded yesterday, in a mega 3-team deal. How did the teams make out? There are several good trade analyses around, but none of them are really focusing on the financial aspect. Kevin Pelton’s article is a good primer on the trade as a starting point, and Joe Treutlein at Hoopdata...
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Posted in NBA Stats | 9 Comments »

ASPM VORP All-Stars 2011

February 4, 2011
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ASPM VORP All-Stars 2011

Well, everyone else has an All-Star post up already: The actual All-Stars Mike G at APBR, with his eWins selections (also PER shown) (his thread inspired me to write this up) EvanZ, with his ezPM on the West and East All-Stars Kevin Pelton, with his WARP All-Stars John Hollinger’s look at ESPN Zach Lowe’s...
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Posted in Advanced SPM, NBA Stats | 9 Comments »

ASPM Prediction: Magic vs. Heat

February 3, 2011
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ASPM Prediction: Magic vs. Heat

The ASPM spreadsheet (download here) has a sheet for estimating a game’s results, based on team rest, location, and the rotation of players expected to play. For a quick example, I’ll look at the Magic vs. Heat game this evening. Here’s the sheet: I estimated the minutes each player would play based upon the...
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Posted in Advanced SPM, ASPM Prediction, NBA Stats | 1 Comment »

ASPM Box Score: Thunder-Heat

January 31, 2011
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ASPM Box Score: Thunder-Heat

Yesterday’s Thunder-Heat game was a fun game to watch and a great game to investigate. Oklahoma City started out with a significant advantage in this game: OKC was at home (worth 3.24 pts/100 poss) and was playing on 1 day of rest (+1.94), while Miami was playing their 3rd game in 4 days, and...
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Posted in Advanced SPM, ASPM Box Score, NBA Stats | 6 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