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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 these to deal with some issues with the ESPN Fantasy...
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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 Basic NFL Predictions

September 5, 2012
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The NFL season begins tonight, and there are predictions flying everywhere. I thought I’d take a basic analytical approach and produce a baseline projection. If your predictions can’t beat this (dumb) system, you aren’t very good at predictions! What got me started down this trail was Bill Barnwell’s article on Grantland breaking down some good basic predictive NFL statistics. He discussed Pythagorean Wins, record...
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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 first create a basic projection system and then create an...
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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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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 for display only those players who had played a significant...
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WOWY: NBA Finals Edition

May 31, 2011
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It’s time for the With-or-Without-You analysis of the NBA Finals teams: Dallas and Miami. For this review, I will consider a player to not have played (i.e. “Without You”) if the player played 20% or less of their average MPG. This allows us to look into the coach’s rotation decisions a bit more, while still maintaining the spirit of the WOWY analysis. For Dallas,...
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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