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Adjusted 4-Factors Visualization

February 22, 2012
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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.

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One Response to Adjusted 4-Factors Visualization

  1. New Player Metric: 2.5-Year Adjusted Four Factor +/- (A4PM) | The City on February 29, 2012 at 11:21 am

    [...] Daniel (@DSMok1) made a cool Tableau visualization for A4PM: Interactive Visualization of @thecity2 ‘s Adjusted 4 Factors data: godismyjudgeok.com/DStats/2012/nb… [...]

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To-Do List

  1. Google Motion Charts for each position, including salary and contract value
  2. Discussion of salary/contract value
  3. Aging curves for individual components (ORB%, Blk%, etc.)
  4. Comparison of residual exponents for rankings
  5. Comparison of various "value metrics" ability to "explain" wins
  6. Publication of spreadsheets used
  7. Work on using Bayesian priors in Adjusted +/-
  8. Work on K-Means clustering for player categorization
  9. Learn ridge regression
  10. Temporally locally-weighted rankings
  11. WOWY as validation of replacement level
  12. Revise ASPM with latest RAPM data
  13. Conversion of ASPM to" wins"
  14. Recursive WOWY Team Ratings
  15. Lineup Bayesian APM
  16. Lineup RAPM