{"id":660,"date":"2011-05-27T15:36:15","date_gmt":"2011-05-27T20:36:15","guid":{"rendered":"http:\/\/godismyjudgeok.com\/DStats\/?p=660"},"modified":"2011-05-31T07:44:24","modified_gmt":"2011-05-31T12:44:24","slug":"bayesian-power-ratings-nba-finals-edition","status":"publish","type":"post","link":"https:\/\/godismyjudgeok.com\/DStats\/2011\/nba-stats\/bayesian-power-ratings-nba-finals-edition\/","title":{"rendered":"Bayesian Power Ratings: NBA Finals Edition"},"content":{"rendered":"<p>I have updated my Bayesian Power Ratings, using the techniques described in previous posts:<\/p>\n<ul>\n<li><a href=\"https:\/\/godismyjudgeok.com\/DStats\/2011\/nba-rankings\/on-bayesian-predictive-efficiency-rankings\/\">On Bayesian Predictive Efficiency Ratings<\/a><\/li>\n<li><a href=\"https:\/\/godismyjudgeok.com\/DStats\/2011\/nba-rankings\/nba-final-regular-season-bayesian-ratings\/\">NBA Final Regular Season Bayesian Efficiency Ratings<\/a><\/li>\n<\/ul>\n<p>Here are the Bayesian Ratings, updated through the end of the conference finals:<\/p>\n<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"0\">\n<tbody>\n<tr>\n<th><strong>Team<\/strong><\/th>\n<th><strong>Bayesian<\/strong><\/th>\n<th><strong>Bayes OE<\/strong><\/th>\n<th><strong>Bayes DE<\/strong><\/th>\n<th><strong>Pace<\/strong><\/th>\n<th><strong>Max L8<\/strong><\/th>\n<th><strong>L18<\/strong><\/th>\n<th><strong>L62<\/strong><\/th>\n<th><strong>Stdev<\/strong><\/th>\n<\/tr>\n<tr>\n<td><strong>MIA<\/strong><\/td>\n<td bgcolor=\"#74C37C\"><strong>7.11<\/strong><\/td>\n<td bgcolor=\"#63BE7B\">4.13<\/td>\n<td bgcolor=\"#AFD47F\">-2.18<\/td>\n<td bgcolor=\"#90B0D9\">87.7<\/td>\n<td bgcolor=\"#74C37C\">7.11<\/td>\n<td bgcolor=\"#74C37C\">7.11<\/td>\n<td bgcolor=\"#64BF7C\">7.84<\/td>\n<td bgcolor=\"#FCDBDE\">12.3<\/td>\n<\/tr>\n<tr>\n<td><strong>CHI<\/strong><\/td>\n<td bgcolor=\"#7FC67D\"><strong>6.61<\/strong><\/td>\n<td bgcolor=\"#D7E082\">1.31<\/td>\n<td bgcolor=\"#63BE7B\">-4.56<\/td>\n<td bgcolor=\"#86A9D5\">87.4<\/td>\n<td bgcolor=\"#6CC17C\">7.48<\/td>\n<td bgcolor=\"#6CC17C\">7.48<\/td>\n<td bgcolor=\"#63BE7B\">7.87<\/td>\n<td bgcolor=\"#FA9698\">13.1<\/td>\n<\/tr>\n<tr>\n<td><strong>DAL<\/strong><\/td>\n<td bgcolor=\"#85C87D\"><strong>6.36<\/strong><\/td>\n<td bgcolor=\"#87C97E\">3.27<\/td>\n<td bgcolor=\"#A9D27F\">-2.37<\/td>\n<td bgcolor=\"#CFDCEF\">89.5<\/td>\n<td bgcolor=\"#83C77D\">6.45<\/td>\n<td bgcolor=\"#83C77D\">6.45<\/td>\n<td bgcolor=\"#83C77D\">6.45<\/td>\n<td bgcolor=\"#FBBBBD\">12.7<\/td>\n<\/tr>\n<tr>\n<td><strong>OKC<\/strong><\/td>\n<td bgcolor=\"#ACD480\"><strong>4.53<\/strong><\/td>\n<td bgcolor=\"#6FC27C\">3.84<\/td>\n<td bgcolor=\"#F0E683\">-0.18<\/td>\n<td bgcolor=\"#FCF4F7\">91.0<\/td>\n<td bgcolor=\"#A2D07F\">5.01<\/td>\n<td bgcolor=\"#A2D07F\">5.01<\/td>\n<td bgcolor=\"#A2D07F\">5.01<\/td>\n<td bgcolor=\"#DDE6F4\">11.6<\/td>\n<\/tr>\n<tr>\n<td><strong>DEN<\/strong><\/td>\n<td bgcolor=\"#ADD480\"><strong>4.48<\/strong><\/td>\n<td bgcolor=\"#92CC7E\">3.00<\/td>\n<td bgcolor=\"#D7DF81\">-0.96<\/td>\n<td bgcolor=\"#FA9092\">94.2<\/td>\n<td bgcolor=\"#98CE7F\">5.44<\/td>\n<td bgcolor=\"#98CE7F\">5.44<\/td>\n<td bgcolor=\"#98CE7F\">5.44<\/td>\n<td bgcolor=\"#E7EDF7\">11.7<\/td>\n<\/tr>\n<tr>\n<td><strong>LAL<\/strong><\/td>\n<td bgcolor=\"#AED480\"><strong>4.45<\/strong><\/td>\n<td bgcolor=\"#A9D380\">2.43<\/td>\n<td bgcolor=\"#C5DA80\">-1.51<\/td>\n<td bgcolor=\"#A5BFE0\">88.3<\/td>\n<td bgcolor=\"#8ECB7E\">5.94<\/td>\n<td bgcolor=\"#78C47D\">6.93<\/td>\n<td bgcolor=\"#78C47D\">6.93<\/td>\n<td bgcolor=\"#FBB8BB\">12.7<\/td>\n<\/tr>\n<tr>\n<td><strong>ORL<\/strong><\/td>\n<td bgcolor=\"#B2D580\"><strong>4.27<\/strong><\/td>\n<td bgcolor=\"#FEE482\">0.10<\/td>\n<td bgcolor=\"#7FC67C\">-3.68<\/td>\n<td bgcolor=\"#C3D4EB\">89.1<\/td>\n<td bgcolor=\"#A8D27F\">4.75<\/td>\n<td bgcolor=\"#9DCF7F\">5.25<\/td>\n<td bgcolor=\"#93CC7E\">5.71<\/td>\n<td bgcolor=\"#99B6DC\">10.7<\/td>\n<\/tr>\n<tr>\n<td><strong>BOS<\/strong><\/td>\n<td bgcolor=\"#B5D680\"><strong>4.12<\/strong><\/td>\n<td bgcolor=\"#FDC87D\">-0.92<\/td>\n<td bgcolor=\"#63BE7B\">-4.56<\/td>\n<td bgcolor=\"#BACDE7\">88.9<\/td>\n<td bgcolor=\"#AED480\">4.44<\/td>\n<td bgcolor=\"#AED480\">4.44<\/td>\n<td bgcolor=\"#6EC27C\">7.37<\/td>\n<td bgcolor=\"#ECF0F9\">11.8<\/td>\n<\/tr>\n<tr>\n<td><strong>SAS<\/strong><\/td>\n<td bgcolor=\"#BAD780\"><strong>3.91<\/strong><\/td>\n<td bgcolor=\"#9CCF7F\">2.75<\/td>\n<td bgcolor=\"#DFE182\">-0.71<\/td>\n<td bgcolor=\"#FCEBEE\">91.3<\/td>\n<td bgcolor=\"#A6D27F\">4.84<\/td>\n<td bgcolor=\"#A3D17F\">4.94<\/td>\n<td bgcolor=\"#7DC67D\">6.70<\/td>\n<td bgcolor=\"#FCEDF0\">12.2<\/td>\n<\/tr>\n<tr>\n<td><strong>MEM<\/strong><\/td>\n<td bgcolor=\"#CCDD82\"><strong>3.07<\/strong><\/td>\n<td bgcolor=\"#F1E784\">0.66<\/td>\n<td bgcolor=\"#B3D57F\">-2.07<\/td>\n<td bgcolor=\"#F2F5FB\">90.4<\/td>\n<td bgcolor=\"#B4D680\">4.17<\/td>\n<td bgcolor=\"#B4D680\">4.17<\/td>\n<td bgcolor=\"#B4D680\">4.17<\/td>\n<td bgcolor=\"#FBC7CA\">12.6<\/td>\n<\/tr>\n<tr>\n<td><strong>HOU<\/strong><\/td>\n<td bgcolor=\"#D4DF82\"><strong>2.73<\/strong><\/td>\n<td bgcolor=\"#89C97E\">3.21<\/td>\n<td bgcolor=\"#FFDD82\">0.80<\/td>\n<td bgcolor=\"#FBB7B9\">93.0<\/td>\n<td bgcolor=\"#CEDD82\">3.00<\/td>\n<td bgcolor=\"#CADC81\">3.19<\/td>\n<td bgcolor=\"#CADC81\">3.19<\/td>\n<td bgcolor=\"#EFF3FA\">11.8<\/td>\n<\/tr>\n<tr>\n<td><strong>POR<\/strong><\/td>\n<td bgcolor=\"#E1E383\"><strong>2.13<\/strong><\/td>\n<td bgcolor=\"#B5D680\">2.14<\/td>\n<td bgcolor=\"#FEEA83\">0.25<\/td>\n<td bgcolor=\"#5A8AC6\">86.2<\/td>\n<td bgcolor=\"#C7DB81\">3.32<\/td>\n<td bgcolor=\"#C6DB81\">3.35<\/td>\n<td bgcolor=\"#C6DB81\">3.35<\/td>\n<td bgcolor=\"#F98183\">13.3<\/td>\n<\/tr>\n<tr>\n<td><strong>PHI<\/strong><\/td>\n<td bgcolor=\"#FAEA84\"><strong>0.95<\/strong><\/td>\n<td bgcolor=\"#FEDB81\">-0.23<\/td>\n<td bgcolor=\"#D3DE81\">-1.07<\/td>\n<td bgcolor=\"#D3DFF0\">89.6<\/td>\n<td bgcolor=\"#E8E583\">1.81<\/td>\n<td bgcolor=\"#D3DF82\">2.76<\/td>\n<td bgcolor=\"#CEDD82\">2.99<\/td>\n<td bgcolor=\"#DAE4F3\">11.6<\/td>\n<\/tr>\n<tr>\n<td><strong>NYK<\/strong><\/td>\n<td bgcolor=\"#FEE783\"><strong>0.48<\/strong><\/td>\n<td bgcolor=\"#7BC57D\">3.56<\/td>\n<td bgcolor=\"#FB9F76\">3.14<\/td>\n<td bgcolor=\"#FBB3B6\">93.1<\/td>\n<td bgcolor=\"#F4E884\">1.24<\/td>\n<td bgcolor=\"#F1E784\">1.40<\/td>\n<td bgcolor=\"#E3E383\">2.04<\/td>\n<td bgcolor=\"#F6F7FC\">11.9<\/td>\n<\/tr>\n<tr>\n<td><strong>NOH<\/strong><\/td>\n<td bgcolor=\"#FDD780\"><strong>-0.56<\/strong><\/td>\n<td bgcolor=\"#FED880\">-0.35<\/td>\n<td bgcolor=\"#FBE983\">0.15<\/td>\n<td bgcolor=\"#EAEFF8\">90.2<\/td>\n<td bgcolor=\"#FEE482\">0.30<\/td>\n<td bgcolor=\"#F3E884\">1.30<\/td>\n<td bgcolor=\"#B4D680\">4.18<\/td>\n<td bgcolor=\"#F6F7FC\">11.9<\/td>\n<\/tr>\n<tr>\n<td><strong>GSW<\/strong><\/td>\n<td bgcolor=\"#FDD47F\"><strong>-0.72<\/strong><\/td>\n<td bgcolor=\"#D2DE82\">1.42<\/td>\n<td bgcolor=\"#FDBC7B\">2.06<\/td>\n<td bgcolor=\"#FA9698\">94.0<\/td>\n<td bgcolor=\"#FDD47F\">-0.72<\/td>\n<td bgcolor=\"#FDD47F\">-0.72<\/td>\n<td bgcolor=\"#FDD47F\">-0.72<\/td>\n<td bgcolor=\"#FAA0A2\">13.0<\/td>\n<\/tr>\n<tr>\n<td><strong>PHO<\/strong><\/td>\n<td bgcolor=\"#FDD47F\"><strong>-0.73<\/strong><\/td>\n<td bgcolor=\"#CBDC81\">1.59<\/td>\n<td bgcolor=\"#FDB77A\">2.24<\/td>\n<td bgcolor=\"#FAA5A8\">93.5<\/td>\n<td bgcolor=\"#FED980\">-0.40<\/td>\n<td bgcolor=\"#FEE583\">0.39<\/td>\n<td bgcolor=\"#FAEA84\">0.98<\/td>\n<td bgcolor=\"#9EB9DD\">10.8<\/td>\n<\/tr>\n<tr>\n<td><strong>MIL<\/strong><\/td>\n<td bgcolor=\"#FDCF7E\"><strong>-1.07<\/strong><\/td>\n<td bgcolor=\"#F8696B\">-4.40<\/td>\n<td bgcolor=\"#86C87D\">-3.46<\/td>\n<td bgcolor=\"#C4D4EB\">89.1<\/td>\n<td bgcolor=\"#FDD27F\">-0.88<\/td>\n<td bgcolor=\"#FDD27F\">-0.88<\/td>\n<td bgcolor=\"#FEE081\">0.03<\/td>\n<td bgcolor=\"#FCF5F8\">12.1<\/td>\n<\/tr>\n<tr>\n<td><strong>IND<\/strong><\/td>\n<td bgcolor=\"#FDCA7D\"><strong>-1.40<\/strong><\/td>\n<td bgcolor=\"#FCC27C\">-1.17<\/td>\n<td bgcolor=\"#F8E983\">0.07<\/td>\n<td bgcolor=\"#FBBDBF\">92.8<\/td>\n<td bgcolor=\"#FDD07E\">-0.98<\/td>\n<td bgcolor=\"#FDD17F\">-0.94<\/td>\n<td bgcolor=\"#FEE082\">0.06<\/td>\n<td bgcolor=\"#E8EEF8\">11.7<\/td>\n<\/tr>\n<tr>\n<td><strong>ATL<\/strong><\/td>\n<td bgcolor=\"#FDC77D\"><strong>-1.57<\/strong><\/td>\n<td bgcolor=\"#FDCF7E\">-0.68<\/td>\n<td bgcolor=\"#FFE082\">0.71<\/td>\n<td bgcolor=\"#779ED0\">87.0<\/td>\n<td bgcolor=\"#FDCF7E\">-1.07<\/td>\n<td bgcolor=\"#FDD57F\">-0.65<\/td>\n<td bgcolor=\"#D2DE82\">2.78<\/td>\n<td bgcolor=\"#F8696B\">13.5<\/td>\n<\/tr>\n<tr>\n<td><strong>LAC<\/strong><\/td>\n<td bgcolor=\"#FCBB7A\"><strong>-2.32<\/strong><\/td>\n<td bgcolor=\"#FBB179\">-1.75<\/td>\n<td bgcolor=\"#FFEB84\">0.29<\/td>\n<td bgcolor=\"#FBBFC1\">92.7<\/td>\n<td bgcolor=\"#FCBD7B\">-2.21<\/td>\n<td bgcolor=\"#FDC67C\">-1.64<\/td>\n<td bgcolor=\"#FDD880\">-0.49<\/td>\n<td bgcolor=\"#9AB7DC\">10.7<\/td>\n<\/tr>\n<tr>\n<td><strong>UTA<\/strong><\/td>\n<td bgcolor=\"#FCB579\"><strong>-2.69<\/strong><\/td>\n<td bgcolor=\"#F7E984\">0.53<\/td>\n<td bgcolor=\"#FCA577\">2.91<\/td>\n<td bgcolor=\"#F98183\">94.7<\/td>\n<td bgcolor=\"#FCB579\">-2.69<\/td>\n<td bgcolor=\"#FCBF7B\">-2.10<\/td>\n<td bgcolor=\"#AFD480\">4.41<\/td>\n<td bgcolor=\"#C8D7EC\">11.3<\/td>\n<\/tr>\n<tr>\n<td><strong>DET<\/strong><\/td>\n<td bgcolor=\"#FBAC78\"><strong>-3.27<\/strong><\/td>\n<td bgcolor=\"#C6DB81\">1.72<\/td>\n<td bgcolor=\"#F9786E\">4.61<\/td>\n<td bgcolor=\"#DAE4F3\">89.8<\/td>\n<td bgcolor=\"#FBAD78\">-3.21<\/td>\n<td bgcolor=\"#FBAD78\">-3.21<\/td>\n<td bgcolor=\"#FBB279\">-2.93<\/td>\n<td bgcolor=\"#7099CD\">10.2<\/td>\n<\/tr>\n<tr>\n<td><strong>SAC<\/strong><\/td>\n<td bgcolor=\"#FBA676\"><strong>-3.65<\/strong><\/td>\n<td bgcolor=\"#FAA075\">-2.39<\/td>\n<td bgcolor=\"#FFDD82\">0.83<\/td>\n<td bgcolor=\"#F8696B\">95.4<\/td>\n<td bgcolor=\"#FBAE78\">-3.18<\/td>\n<td bgcolor=\"#FBAE78\">-3.18<\/td>\n<td bgcolor=\"#FBAE78\">-3.18<\/td>\n<td bgcolor=\"#FBC0C3\">12.6<\/td>\n<\/tr>\n<tr>\n<td><strong>CHA<\/strong><\/td>\n<td bgcolor=\"#FA9D75\"><strong>-4.25<\/strong><\/td>\n<td bgcolor=\"#FBA777\">-2.12<\/td>\n<td bgcolor=\"#FEC77E\">1.63<\/td>\n<td bgcolor=\"#ACC3E2\">88.5<\/td>\n<td bgcolor=\"#FBA175\">-3.98<\/td>\n<td bgcolor=\"#FBAA77\">-3.41<\/td>\n<td bgcolor=\"#FCC47C\">-1.73<\/td>\n<td bgcolor=\"#FBD1D3\">12.5<\/td>\n<\/tr>\n<tr>\n<td><strong>MIN<\/strong><\/td>\n<td bgcolor=\"#F97E6F\"><strong>-6.27<\/strong><\/td>\n<td bgcolor=\"#FA9673\">-2.74<\/td>\n<td bgcolor=\"#FCA978\">2.78<\/td>\n<td bgcolor=\"#F97678\">95.0<\/td>\n<td bgcolor=\"#FA9272\">-4.98<\/td>\n<td bgcolor=\"#FBA276\">-3.91<\/td>\n<td bgcolor=\"#FBAA77\">-3.45<\/td>\n<td bgcolor=\"#FBD7DA\">12.4<\/td>\n<\/tr>\n<tr>\n<td><strong>NJN<\/strong><\/td>\n<td bgcolor=\"#F97D6E\"><strong>-6.30<\/strong><\/td>\n<td bgcolor=\"#FBA075\">-2.38<\/td>\n<td bgcolor=\"#FB9E76\">3.17<\/td>\n<td bgcolor=\"#E1E9F5\">90.0<\/td>\n<td bgcolor=\"#F98670\">-5.74<\/td>\n<td bgcolor=\"#FA9273\">-4.94<\/td>\n<td bgcolor=\"#FBA777\">-3.60<\/td>\n<td bgcolor=\"#5A8AC6\">9.9<\/td>\n<\/tr>\n<tr>\n<td><strong>TOR<\/strong><\/td>\n<td bgcolor=\"#F87B6E\"><strong>-6.45<\/strong><\/td>\n<td bgcolor=\"#FDD37F\">-0.52<\/td>\n<td bgcolor=\"#F8696B\">5.16<\/td>\n<td bgcolor=\"#FCDFE2\">91.7<\/td>\n<td bgcolor=\"#F97E6F\">-6.21<\/td>\n<td bgcolor=\"#F98470\">-5.84<\/td>\n<td bgcolor=\"#FCBE7B\">-2.16<\/td>\n<td bgcolor=\"#C5D5EB\">11.3<\/td>\n<\/tr>\n<tr>\n<td><strong>WAS<\/strong><\/td>\n<td bgcolor=\"#F8746D\"><strong>-6.88<\/strong><\/td>\n<td bgcolor=\"#F98370\">-3.42<\/td>\n<td bgcolor=\"#FCAD78\">2.64<\/td>\n<td bgcolor=\"#FAA5A7\">93.5<\/td>\n<td bgcolor=\"#F8776D\">-6.71<\/td>\n<td bgcolor=\"#F8776D\">-6.71<\/td>\n<td bgcolor=\"#FA9974\">-4.54<\/td>\n<td bgcolor=\"#FA9A9D\">13.0<\/td>\n<\/tr>\n<tr>\n<td><strong>CLE<\/strong><\/td>\n<td bgcolor=\"#F8696B\"><strong>-7.62<\/strong><\/td>\n<td bgcolor=\"#F98971\">-3.24<\/td>\n<td bgcolor=\"#FB9674\">3.48<\/td>\n<td bgcolor=\"#FCDCDE\">91.8<\/td>\n<td bgcolor=\"#F8696B\">-7.62<\/td>\n<td bgcolor=\"#F8696B\">-7.62<\/td>\n<td bgcolor=\"#F8756D\">-6.85<\/td>\n<td bgcolor=\"#FBD8DA\">12.4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>And here is my most intricate Team-Level Google Motion Chart to date:<\/p>\n<div id=\"visualization\" style=\"width: 575px; height: 550px;\"><\/div>\n<p>&nbsp;<br \/>\n(Source Data on <a href=\"https:\/\/spreadsheets.google.com\/spreadsheet\/ccc?key=tGMbVEPCDAJ29pMPMIqdl5g#gid=0\">Google Spreadsheets<\/a>)<br \/>\n&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I have updated my Bayesian Power Ratings, using the techniques described in previous posts:<br \/>\nOn Bayesian Predictive Efficiency Ratings<br \/>\nNBA Final Regular Season Bayesian Efficiency Ratings<br \/>\nHere are the Bayesian Ratings, updated through the end of the conference finals:<\/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":[12],"tags":[21,57,54,37,24,40],"_links":{"self":[{"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/660"}],"collection":[{"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/comments?post=660"}],"version-history":[{"count":17,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/660\/revisions"}],"predecessor-version":[{"id":677,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/660\/revisions\/677"}],"wp:attachment":[{"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/media?parent=660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/categories?post=660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/tags?post=660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}