{"id":66,"date":"2011-01-06T10:24:28","date_gmt":"2011-01-06T16:24:28","guid":{"rendered":"http:\/\/godismyjudgeok.com\/DStats\/?p=66"},"modified":"2011-03-09T15:57:57","modified_gmt":"2011-03-09T21:57:57","slug":"nba-adjusted-efficiency-rankings-1-5-2011","status":"publish","type":"post","link":"http:\/\/godismyjudgeok.com\/DStats\/2011\/nba-rankings\/nba-adjusted-efficiency-rankings-1-5-2011\/","title":{"rendered":"NBA Adjusted Efficiency Rankings 1-5-2011"},"content":{"rendered":"

There are many ways to rank NBA teams; some better than others. This method runs as follows:<\/p>\n

    \n
  1. Compile all game advanced team boxscores from Basketball Reference<\/a>, like this one<\/a>:
    \n\n<\/tbody>\n\n\n\n\n\n\n
    <\/th>\nFour Factors<\/th>\n<\/th>\n<\/tr>\n
    <\/th>\nPace<\/th>\neFG%<\/th>\nTOV%<\/th>\nORB%<\/th>\nFT\/FGA<\/th>\nORtg<\/th>\n<\/tr>\n<\/thead>\n
    SAS<\/td>\n90.8<\/td>\n.506<\/td>\n13.8<\/td>\n32.6<\/td>\n.186<\/td>\n113.4<\/td>\n<\/tr>\n
    BOS<\/td>\n90.8<\/td>\n.647<\/td>\n15.5<\/td>\n18.5<\/td>\n.107<\/td>\n115.6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/li>\n
  2. Adjust efficiency differential in the game for location and rest days.<\/li>\n
  3. Solve for each team’s efficiency differential by minimizing the residuals^1.5 for each game (using Excel Solver)<\/li>\n
  4. Generate an offense-defense skew for each team by solving for average efficiency in games that team plays, adjusted for rest days (minimizing residuals^1.5 again).<\/li>\n
  5. Use the offense-defense skew and the team’s efficiency differential to generate offensive and defensive ratings for each team.<\/li>\n
  6. Apply the same methods to generate pace values for each team<\/li>\n<\/ol>\n

    So this method differs in a few ways from some others:<\/p>\n

      \n
    1. It weights each GAME equally, rather than each possession (I don’t want a fast-paced OT game to mean more in the ratings than a slow game).<\/li>\n
    2. I minimize residuals^1.5 rather than squared residuals.\u00a0 I suppose a true average would use squared residuals, but I liked the fact that using ^1.5 causes outliers to have less of an effect.\u00a0 Research is needed to figure out what is the proper approach–for retrospective ratings, ^2 is probably best, but for predictive perhaps something less than ^2.\u00a0 This was simply a judgment call on my part.<\/li>\n<\/ol>\n

      So anyway, here are the ratings.\u00a0 I’ll show them both in lovely Excel-conditional-formatting splendor (which would be a headache to code as CSS–only Ken Pomeroy has done it that I know of!) and then I’ll post them in table format as well for easy sorting and copying.<\/p>\n

      \"NBA<\/a>

      Adjusted NBA Team Efficiencies, through 1-5-2011<\/p><\/div>\n

      And for sorting and copying, here is the nice table form:<\/p>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
      Rank<\/th>Chg<\/th>Team<\/th>Off Eff<\/th>Def Eff<\/th>Eff. Margin<\/th>Change<\/th>Prev<\/th>SoS<\/th>Pace<\/th>\n<\/tr>\n<\/thead>\n
      1<\/td><\/td>MIA<\/td>5.08<\/td>-4.55<\/td>9.63<\/td>-0.14<\/td>9.78<\/td>-0.97<\/td>90.3<\/td>\n<\/tr>\n
      2<\/td><\/td>BOS<\/td>1.30<\/td>-7.31<\/td>8.60<\/td>-0.66<\/td>9.26<\/td>0.20<\/td>89.9<\/td>\n<\/tr>\n
      3<\/td><\/td>SAS<\/td>5.32<\/td>-2.07<\/td>7.39<\/td>0.66<\/td>6.73<\/td>-1.01<\/td>92.4<\/td>\n<\/tr>\n
      4<\/td><\/td>LAL<\/td>5.70<\/td>-0.35<\/td>6.05<\/td>-0.26<\/td>6.31<\/td>-0.45<\/td>92.0<\/td>\n<\/tr>\n
      5<\/td><\/td>DAL<\/td>1.75<\/td>-3.65<\/td>5.40<\/td>-0.86<\/td>6.26<\/td>0.20<\/td>90.9<\/td>\n<\/tr>\n
      6<\/td><\/td>CHI<\/td>-2.25<\/td>-6.65<\/td>4.41<\/td>-0.55<\/td>4.96<\/td>-1.49<\/td>91.5<\/td>\n<\/tr>\n
      7<\/td>1<\/td>ORL<\/td>1.09<\/td>-3.15<\/td>4.24<\/td>0.60<\/td>3.64<\/td>-1.36<\/td>91.8<\/td>\n<\/tr>\n
      8<\/td>-1<\/td>UTA<\/td>3.94<\/td>0.55<\/td>3.40<\/td>-1.24<\/td>4.64<\/td>1.00<\/td>89.9<\/td>\n<\/tr>\n
      9<\/td>1<\/td>ATL<\/td>1.83<\/td>-0.71<\/td>2.53<\/td>0.35<\/td>2.18<\/td>-0.47<\/td>90.0<\/td>\n<\/tr>\n
      10<\/td>-1<\/td>DEN<\/td>3.84<\/td>1.65<\/td>2.19<\/td>-0.55<\/td>2.74<\/td>-0.11<\/td>95.3<\/td>\n<\/tr>\n
      11<\/td>6<\/td>POR<\/td>0.74<\/td>-1.18<\/td>1.91<\/td>1.35<\/td>0.56<\/td>1.51<\/td>87.6<\/td>\n<\/tr>\n
      12<\/td>2<\/td>NOH<\/td>-1.44<\/td>-3.18<\/td>1.74<\/td>0.67<\/td>1.07<\/td>-0.16<\/td>89.6<\/td>\n<\/tr>\n
      13<\/td>-1<\/td>NYK<\/td>3.76<\/td>2.06<\/td>1.70<\/td>0.17<\/td>1.53<\/td>0.40<\/td>96.0<\/td>\n<\/tr>\n
      14<\/td>-3<\/td>OKC<\/td>3.38<\/td>1.73<\/td>1.65<\/td>-0.30<\/td>1.95<\/td>-0.05<\/td>92.9<\/td>\n<\/tr>\n
      15<\/td>1<\/td>MEM<\/td>-2.05<\/td>-3.26<\/td>1.21<\/td>0.63<\/td>0.58<\/td>0.81<\/td>92.7<\/td>\n<\/tr>\n
      16<\/td>-3<\/td>PHI<\/td>-0.96<\/td>-1.90<\/td>0.94<\/td>-0.30<\/td>1.24<\/td>1.64<\/td>90.7<\/td>\n<\/tr>\n
      17<\/td>-2<\/td>HOU<\/td>2.95<\/td>2.82<\/td>0.13<\/td>-0.57<\/td>0.70<\/td>-0.67<\/td>93.9<\/td>\n<\/tr>\n
      18<\/td><\/td>PHO<\/td>4.81<\/td>6.19<\/td>-1.38<\/td>0.02<\/td>-1.40<\/td>0.72<\/td>93.9<\/td>\n<\/tr>\n
      19<\/td><\/td>IND<\/td>-5.19<\/td>-2.93<\/td>-2.26<\/td>0.20<\/td>-2.46<\/td>-1.46<\/td>94.0<\/td>\n<\/tr>\n
      20<\/td><\/td>MIL<\/td>-7.25<\/td>-4.94<\/td>-2.31<\/td>0.64<\/td>-2.95<\/td>0.29<\/td>90.0<\/td>\n<\/tr>\n
      21<\/td><\/td>GSW<\/td>1.11<\/td>3.61<\/td>-2.50<\/td>0.87<\/td>-3.37<\/td>2.30<\/td>94.5<\/td>\n<\/tr>\n
      22<\/td>1<\/td>LAC<\/td>-2.14<\/td>1.61<\/td>-3.75<\/td>0.41<\/td>-4.15<\/td>-0.05<\/td>90.9<\/td>\n<\/tr>\n
      23<\/td>-1<\/td>TOR<\/td>0.71<\/td>4.88<\/td>-4.16<\/td>-0.22<\/td>-3.94<\/td>0.14<\/td>93.4<\/td>\n<\/tr>\n
      24<\/td><\/td>CHA<\/td>-4.35<\/td>0.42<\/td>-4.77<\/td>-0.18<\/td>-4.59<\/td>0.53<\/td>89.5<\/td>\n<\/tr>\n
      25<\/td>1<\/td>MIN<\/td>-0.86<\/td>3.94<\/td>-4.80<\/td>0.38<\/td>-5.19<\/td>1.10<\/td>96.7<\/td>\n<\/tr>\n
      26<\/td>1<\/td>NJN<\/td>-3.72<\/td>1.77<\/td>-5.49<\/td>-0.18<\/td>-5.31<\/td>0.71<\/td>89.1<\/td>\n<\/tr>\n
      27<\/td>-2<\/td>DET<\/td>-0.71<\/td>4.82<\/td>-5.53<\/td>-0.45<\/td>-5.08<\/td>0.07<\/td>88.3<\/td>\n<\/tr>\n
      28<\/td><\/td>WAS<\/td>-4.38<\/td>2.39<\/td>-6.77<\/td>-0.86<\/td>-5.92<\/td>0.33<\/td>92.6<\/td>\n<\/tr>\n
      29<\/td>1<\/td>SAC<\/td>-6.34<\/td>3.26<\/td>-9.60<\/td>0.53<\/td>-10.14<\/td>-2.50<\/td>92.1<\/td>\n<\/tr>\n
      30<\/td>-1<\/td>CLE<\/td>-5.67<\/td>4.12<\/td>-9.80<\/td>-0.15<\/td>-9.65<\/td>0.10<\/td>92.1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"

      There are many ways to rank NBA teams; some better than others. This method runs as follows…<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[10,5,12],"tags":[54,22,24],"_links":{"self":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/66"}],"collection":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":4,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/66\/revisions"}],"predecessor-version":[{"id":340,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/66\/revisions\/340"}],"wp:attachment":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/media?parent=66"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/categories?post=66"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/tags?post=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}