{"id":679,"date":"2011-05-31T13:08:23","date_gmt":"2011-05-31T18:08:23","guid":{"rendered":"http:\/\/godismyjudgeok.com\/DStats\/?p=679"},"modified":"2011-05-31T13:08:23","modified_gmt":"2011-05-31T18:08:23","slug":"wowy-nba-finals-edition","status":"publish","type":"post","link":"http:\/\/godismyjudgeok.com\/DStats\/2011\/nba-stats\/wowy-nba-finals-edition\/","title":{"rendered":"WOWY: NBA Finals Edition"},"content":{"rendered":"

It’s time for the With-or-Without-You analysis of the NBA Finals teams: Dallas and Miami.<\/p>\n

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, this primarily effects DeShawn Stevenson<\/a> and Rodrigue Beaubois<\/a>. For Miami, Mike Miller<\/a> and James Jones<\/a> are effected quite a bit.<\/p>\n

As has been discussed in previous WOWY posts, I have stabilized the regression with 30 games of team-average play to mitigate noise in the regression.<\/p>\n

I present 2 tables for each team: equally-weighted, and Bayesian-weighted. The equally-weighted regression counts all games played this season equally. It’s probably the best for evaluating the value of each individual player. The Bayesian-weighted regression weights more recent games more heavily to better predict future performance. I have subjectively added an additional weight of 1.5x for playoff games (because of differing rotation choices in playoffs) and 2x for previous games against each other. Of course, those previous games against each other were so long ago they are still relatively negligible in the regression, compared to the playoff performance.<\/p>\n

Dallas Mavericks, Equally-Weighted<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/strong><\/th>\nEff Mar<\/strong><\/th>\nOff Eff<\/strong><\/th>\nDef Eff<\/strong><\/th>\nGames<\/strong><\/th>\n <\/strong><\/th>\nEquiv+\/-<\/strong><\/th>\n<\/tr>\n
Team<\/strong><\/td>\n11.7<\/strong><\/td>\n5.1<\/strong><\/td>\n-6.6<\/strong><\/td>\nIn<\/strong><\/td>\nOut<\/strong><\/td>\nMPG<\/strong><\/td>\nTot<\/strong><\/td>\nO<\/strong><\/td>\nD<\/strong><\/td>\n<\/tr>\n
Dirk Nowitzki<\/a><\/td>\n5.2<\/td>\n3.3<\/td>\n-1.8<\/td>\n88<\/td>\n9<\/td>\n34.3<\/td>\n3.7<\/td>\n2.2<\/td>\n-1.5<\/td>\n<\/tr>\n
Tyson Chandler<\/a><\/td>\n4.1<\/td>\n2.2<\/td>\n-1.9<\/td>\n91<\/td>\n6<\/td>\n27.8<\/td>\n3.6<\/td>\n1.3<\/td>\n-2.3<\/td>\n<\/tr>\n
Shawn Marion<\/a><\/td>\n2.4<\/td>\n2.2<\/td>\n-0.2<\/td>\n95<\/td>\n2<\/td>\n28.2<\/td>\n0.6<\/td>\n1.3<\/td>\n0.7<\/td>\n<\/tr>\n
Caron Butler<\/a><\/td>\n2.4<\/td>\n-0.1<\/td>\n-2.5<\/td>\n28<\/td>\n69<\/td>\n29.9<\/td>\n0.4<\/td>\n-2.6<\/td>\n-3.0<\/td>\n<\/tr>\n
DeShawn Stevenson<\/a><\/td>\n1.3<\/td>\n1.6<\/td>\n0.4<\/td>\n79<\/td>\n18<\/td>\n16.1<\/td>\n0.3<\/td>\n2.4<\/td>\n2.1<\/td>\n<\/tr>\n
Brendan Haywood<\/a><\/td>\n0.7<\/td>\n0.3<\/td>\n-0.4<\/td>\n89<\/td>\n8<\/td>\n18.5<\/td>\n-1.7<\/td>\n-1.6<\/td>\n0.0<\/td>\n<\/tr>\n
Rodrigue Beaubois<\/a><\/td>\n1.7<\/td>\n0.3<\/td>\n-1.4<\/td>\n28<\/td>\n69<\/td>\n17.7<\/td>\n1.0<\/td>\n-1.8<\/td>\n-2.8<\/td>\n<\/tr>\n
Peja Stojakovic<\/a><\/td>\n3.5<\/td>\n1.9<\/td>\n-1.5<\/td>\n41<\/td>\n56<\/td>\n20.2<\/td>\n4.7<\/td>\n2.1<\/td>\n-2.6<\/td>\n<\/tr>\n
Jason Kidd<\/a><\/td>\n3.8<\/td>\n2.5<\/td>\n-1.3<\/td>\n95<\/td>\n2<\/td>\n33.2<\/td>\n2.0<\/td>\n1.2<\/td>\n-0.9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Dallas Mavericks, Bayesian Weighting<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/strong><\/th>\nEff Mar<\/strong><\/th>\nOff Eff<\/strong><\/th>\nDef Eff<\/strong><\/th>\nGames<\/strong><\/th>\n <\/strong><\/th>\nEquiv+\/-<\/strong><\/th>\n<\/tr>\n
Team<\/strong><\/td>\n12.8<\/strong><\/td>\n5.9<\/strong><\/td>\n-6.8<\/strong><\/td>\nIn<\/strong><\/td>\nOut<\/strong><\/td>\nMPG<\/strong><\/td>\nTot<\/strong><\/td>\nO<\/strong><\/td>\nD<\/strong><\/td>\n<\/tr>\n
Dirk Nowitzki<\/a><\/td>\n4.8<\/td>\n3.2<\/td>\n-1.7<\/td>\n88<\/td>\n9<\/td>\n34.3<\/td>\n3.3<\/td>\n1.9<\/td>\n-1.3<\/td>\n<\/tr>\n
Tyson Chandler<\/a><\/td>\n4.0<\/td>\n2.0<\/td>\n-2.0<\/td>\n91<\/td>\n6<\/td>\n27.8<\/td>\n3.5<\/td>\n1.0<\/td>\n-2.5<\/td>\n<\/tr>\n
Shawn Marion<\/a><\/td>\n2.2<\/td>\n2.2<\/td>\n0.0<\/td>\n95<\/td>\n2<\/td>\n28.2<\/td>\n0.3<\/td>\n1.3<\/td>\n1.1<\/td>\n<\/tr>\n
Caron Butler<\/a><\/td>\n2.3<\/td>\n0.3<\/td>\n-2.1<\/td>\n28<\/td>\n69<\/td>\n29.9<\/td>\n0.3<\/td>\n-2.0<\/td>\n-2.3<\/td>\n<\/tr>\n
DeShawn Stevenson<\/a><\/td>\n1.6<\/td>\n1.8<\/td>\n0.2<\/td>\n79<\/td>\n18<\/td>\n16.1<\/td>\n1.2<\/td>\n2.7<\/td>\n1.6<\/td>\n<\/tr>\n
Brendan Haywood<\/a><\/td>\n0.9<\/td>\n0.5<\/td>\n-0.5<\/td>\n89<\/td>\n8<\/td>\n18.5<\/td>\n-1.1<\/td>\n-1.3<\/td>\n-0.2<\/td>\n<\/tr>\n
Rodrigue Beaubois<\/a><\/td>\n0.8<\/td>\n-0.8<\/td>\n-1.6<\/td>\n28<\/td>\n69<\/td>\n17.7<\/td>\n-1.3<\/td>\n-4.7<\/td>\n-3.5<\/td>\n<\/tr>\n
Peja Stojakovic<\/a><\/td>\n4.2<\/td>\n2.3<\/td>\n-1.8<\/td>\n41<\/td>\n56<\/td>\n20.2<\/td>\n6.4<\/td>\n3.0<\/td>\n-3.4<\/td>\n<\/tr>\n
Jason Kidd<\/a><\/td>\n4.2<\/td>\n2.8<\/td>\n-1.5<\/td>\n95<\/td>\n2<\/td>\n33.2<\/td>\n2.6<\/td>\n1.5<\/td>\n-1.1<\/td>\n<\/tr>\n
Team Future<\/strong><\/td>\n9.6<\/strong><\/td>\n6.5<\/strong><\/td>\n-3.1<\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Miami Heat, Equally-Weighted<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/strong><\/th>\nEff Mar<\/strong><\/th>\nOff Eff<\/strong><\/th>\nDef Eff<\/strong><\/th>\nGames<\/strong><\/th>\n <\/strong><\/th>\nEquiv+\/-<\/strong><\/th>\n<\/tr>\n
Team<\/strong><\/td>\n15.2<\/strong><\/td>\n9.4<\/strong><\/td>\n-5.9<\/strong><\/td>\nIn<\/strong><\/td>\nOut<\/strong><\/td>\nMPG<\/strong><\/td>\nTot<\/strong><\/td>\nO<\/strong><\/td>\nD<\/strong><\/td>\n<\/tr>\n
LeBron James<\/a><\/td>\n4.1<\/td>\n2.5<\/td>\n-1.6<\/td>\n94<\/td>\n3<\/td>\n38.8<\/td>\n1.6<\/td>\n0.6<\/td>\n-1.0<\/td>\n<\/tr>\n
Dwyane Wade<\/a><\/td>\n3.4<\/td>\n2.5<\/td>\n-0.9<\/td>\n91<\/td>\n6<\/td>\n37.2<\/td>\n0.9<\/td>\n0.7<\/td>\n-0.2<\/td>\n<\/tr>\n
Chris Bosh<\/a><\/td>\n3.8<\/td>\n3.1<\/td>\n-0.7<\/td>\n92<\/td>\n5<\/td>\n36.3<\/td>\n1.6<\/td>\n1.6<\/td>\n0.0<\/td>\n<\/tr>\n
Mike Bibby<\/a><\/td>\n2.5<\/td>\n2.4<\/td>\n-0.1<\/td>\n36<\/td>\n61<\/td>\n26.5<\/td>\n1.0<\/td>\n1.9<\/td>\n0.9<\/td>\n<\/tr>\n
Udonis Haslem<\/a><\/td>\n3.1<\/td>\n1.4<\/td>\n-1.7<\/td>\n17<\/td>\n80<\/td>\n26.5<\/td>\n2.2<\/td>\n0.0<\/td>\n-2.1<\/td>\n<\/tr>\n
Mario Chalmers<\/a><\/td>\n3.1<\/td>\n1.7<\/td>\n-1.3<\/td>\n78<\/td>\n19<\/td>\n22.5<\/td>\n3.1<\/td>\n1.2<\/td>\n-1.9<\/td>\n<\/tr>\n
Mike Miller<\/a><\/td>\n1.1<\/td>\n1.2<\/td>\n0.1<\/td>\n42<\/td>\n55<\/td>\n20.4<\/td>\n-1.0<\/td>\n0.2<\/td>\n1.2<\/td>\n<\/tr>\n
Carlos Arroyo<\/a><\/td>\n2.2<\/td>\n0.5<\/td>\n-1.7<\/td>\n44<\/td>\n53<\/td>\n20.3<\/td>\n1.7<\/td>\n-1.2<\/td>\n-2.9<\/td>\n<\/tr>\n
Joel Anthony<\/a><\/td>\n2.7<\/td>\n1.6<\/td>\n-1.1<\/td>\n87<\/td>\n10<\/td>\n19.5<\/td>\n3.1<\/td>\n1.4<\/td>\n-1.7<\/td>\n<\/tr>\n
James Jones<\/a><\/td>\n1.9<\/td>\n2.0<\/td>\n0.1<\/td>\n89<\/td>\n8<\/td>\n19.1<\/td>\n1.2<\/td>\n2.5<\/td>\n1.4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Miami Heat, Bayesian Weighting<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/strong><\/th>\nEff Mar<\/strong><\/th>\nOff Eff<\/strong><\/th>\nDef Eff<\/strong><\/th>\nGames<\/strong><\/th>\n <\/strong><\/th>\nEquiv+\/-<\/strong><\/th>\n<\/tr>\n
Team<\/strong><\/td>\n15.8<\/strong><\/td>\n7.5<\/strong><\/td>\n-8.3<\/strong><\/td>\nIn<\/strong><\/td>\nOut<\/strong><\/td>\nMPG<\/strong><\/td>\nTot<\/strong><\/td>\nO<\/strong><\/td>\nD<\/strong><\/td>\n<\/tr>\n
LeBron James<\/a><\/td>\n1.4<\/td>\n0.8<\/td>\n-0.6<\/td>\n94<\/td>\n3<\/td>\n38.8<\/td>\n-1.8<\/td>\n-1.5<\/td>\n0.2<\/td>\n<\/tr>\n
Dwyane Wade<\/a><\/td>\n2.9<\/td>\n2.7<\/td>\n-0.1<\/td>\n91<\/td>\n6<\/td>\n37.2<\/td>\n0.2<\/td>\n1.0<\/td>\n0.8<\/td>\n<\/tr>\n
Chris Bosh<\/a><\/td>\n1.8<\/td>\n4.0<\/td>\n2.2<\/td>\n92<\/td>\n5<\/td>\n36.3<\/td>\n-1.1<\/td>\n2.8<\/td>\n4.0<\/td>\n<\/tr>\n
Mike Bibby<\/a><\/td>\n1.9<\/td>\n2.3<\/td>\n0.4<\/td>\n36<\/td>\n61<\/td>\n26.5<\/td>\n-0.1<\/td>\n1.7<\/td>\n1.8<\/td>\n<\/tr>\n
Udonis Haslem<\/a><\/td>\n6.0<\/td>\n0.6<\/td>\n-5.5<\/td>\n17<\/td>\n80<\/td>\n26.5<\/td>\n7.4<\/td>\n-1.5<\/td>\n-8.9<\/td>\n<\/tr>\n
Mario Chalmers<\/a><\/td>\n1.9<\/td>\n-0.3<\/td>\n-2.2<\/td>\n78<\/td>\n19<\/td>\n22.5<\/td>\n0.6<\/td>\n-3.1<\/td>\n-3.7<\/td>\n<\/tr>\n
Mike Miller<\/a><\/td>\n0.8<\/td>\n0.9<\/td>\n0.1<\/td>\n42<\/td>\n55<\/td>\n20.4<\/td>\n-1.6<\/td>\n-0.5<\/td>\n1.1<\/td>\n<\/tr>\n
Carlos Arroyo<\/a><\/td>\n0.9<\/td>\n-0.7<\/td>\n-1.6<\/td>\n44<\/td>\n53<\/td>\n20.3<\/td>\n-1.3<\/td>\n-4.2<\/td>\n-2.9<\/td>\n<\/tr>\n
Joel Anthony<\/a><\/td>\n3.9<\/td>\n2.1<\/td>\n-1.8<\/td>\n87<\/td>\n10<\/td>\n19.5<\/td>\n6.1<\/td>\n2.8<\/td>\n-3.3<\/td>\n<\/tr>\n
James Jones<\/a><\/td>\n0.3<\/td>\n4.0<\/td>\n3.7<\/td>\n89<\/td>\n8<\/td>\n19.1<\/td>\n-2.8<\/td>\n7.5<\/td>\n10.3<\/td>\n<\/tr>\n
Team Future<\/strong><\/td>\n15.5<\/strong><\/td>\n3.6<\/strong><\/td>\n-12.0<\/strong><\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Ummm… the Heat look scarey.\u00a0 Really scarey.\u00a0 Since Udonis Haslem<\/a> came back, they’ve been utterly dominant. That said, the sample size with Haslem back is only 4 games, and the 15.5 number is probably overstated. Probably.\u00a0 However, they were pretty good without him, and swept Chicago when he came back.<\/p>\n

For the actual series prediction, I used the standard deviations generated by these WOWY numbers.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Miami<\/strong><\/span><\/th>\nDallas<\/strong><\/span><\/th>\n<\/tr>\n
88.5%<\/strong><\/span><\/td>\n11.5%<\/strong><\/span><\/td>\n<\/tr>\n
MIA vs DAL<\/strong><\/span><\/td>\n<\/tr>\n
4 to 0<\/span><\/td>\n21.7%<\/span><\/td>\n<\/tr>\n
4 to 1<\/span><\/td>\n24.7%<\/span><\/td>\n<\/tr>\n
4 to 2<\/span><\/strong><\/td>\n26.5%<\/span><\/strong><\/td>\n<\/tr>\n
4 to 3<\/span><\/td>\n15.6%<\/span><\/td>\n<\/tr>\n
3 to 4<\/span><\/td>\n4.2%<\/span><\/td>\n<\/tr>\n
2 to 4<\/span><\/td>\n3.4%<\/span><\/td>\n<\/tr>\n
1 to 4<\/span><\/td>\n3.2%<\/span><\/td>\n<\/tr>\n
0 to 4<\/span><\/td>\n0.8%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

As much as I hate to do it, I’ve got to pick Miami to win this.\u00a0 I believe the regression may be overstating Miami’s chances, some, but not THAT much.\u00a0 Just about any way I tweak the numbers, Miami in 6 is still the most likely outcome.\u00a0 So that’s my prediction: Miami in 6<\/strong>.<\/p>\n

Here’s the information used to generate these numbers.\u00a0 Difficulty is adjusting for opponent, location, and rest.<\/p>\n

Dallas Mavericks Game Log<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Gm<\/strong><\/th>\nInformation<\/strong><\/th>\nOE<\/strong><\/th>\nDE<\/strong><\/th>\nMar<\/strong><\/th>\nWin<\/strong><\/th>\nDifficulty<\/strong><\/th>\nOut<\/strong><\/th>\n<\/tr>\n
1<\/td>\n10\/27\/10 vs. CHA<\/td>\n1.0<\/td>\n-7.5<\/td>\n8.6<\/strong><\/td>\n1<\/td>\n-7.7<\/td>\nRB DS<\/td>\n<\/tr>\n
2<\/td>\n10\/29\/10 vs. MEM<\/td>\n-8.0<\/td>\n-6.5<\/td>\n-1.4<\/strong><\/td>\n-1<\/td>\n-0.3<\/td>\nRB DS<\/td>\n<\/tr>\n
3<\/td>\n10\/31\/10 @ LAC<\/td>\n0.5<\/td>\n-17.0<\/td>\n17.5<\/strong><\/td>\n1<\/td>\n0.4<\/td>\nRB DS<\/td>\n<\/tr>\n
4<\/td>\n11\/03\/10 @ DEN<\/td>\n6.6<\/td>\n-1.9<\/td>\n8.4<\/strong><\/td>\n1<\/td>\n7.3<\/td>\nRB DS<\/td>\n<\/tr>\n
5<\/td>\n11\/06\/10 vs. DEN<\/td>\n-13.8<\/td>\n-0.9<\/td>\n-12.9<\/strong><\/td>\n-1<\/td>\n-1.2<\/td>\nRB DS<\/td>\n<\/tr>\n
6<\/td>\n11\/08\/10 vs. BOS<\/td>\n-4.1<\/td>\n-4.4<\/td>\n0.4<\/strong><\/td>\n1<\/td>\n-1.8<\/td>\nRB<\/td>\n<\/tr>\n
7<\/td>\n11\/10\/10 @ MEM<\/td>\n16.4<\/td>\n-6.6<\/td>\n23.0<\/strong><\/td>\n1<\/td>\n6.2<\/td>\nRB CB<\/td>\n<\/tr>\n
8<\/td>\n11\/12\/10 vs. PHI<\/td>\n7.7<\/td>\n-0.6<\/td>\n8.4<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nRB CB<\/td>\n<\/tr>\n
9<\/td>\n11\/15\/10 vs. NOH<\/td>\n6.2<\/td>\n3.5<\/td>\n2.7<\/strong><\/td>\n1<\/td>\n-0.8<\/td>\nRB CB<\/td>\n<\/tr>\n
10<\/td>\n11\/17\/10 @ NOH<\/td>\n6.2<\/td>\n4.4<\/td>\n1.8<\/strong><\/td>\n-1<\/td>\n4.1<\/td>\nRB<\/td>\n<\/tr>\n
11<\/td>\n11\/19\/10 vs. CHI<\/td>\n-3.6<\/td>\n1.5<\/td>\n-5.1<\/strong><\/td>\n-1<\/td>\n0.9<\/td>\nRB<\/td>\n<\/tr>\n
12<\/td>\n11\/20\/10 @ ATL<\/td>\n3.8<\/td>\n-6.2<\/td>\n10.0<\/strong><\/td>\n1<\/td>\n4.4<\/td>\nRB<\/td>\n<\/tr>\n
13<\/td>\n11\/23\/10 vs. DET<\/td>\n-11.4<\/td>\n-10.2<\/td>\n-1.3<\/strong><\/td>\n1<\/td>\n-6.0<\/td>\nRB<\/td>\n<\/tr>\n
14<\/td>\n11\/24\/10 @ OKC<\/td>\n13.8<\/td>\n-5.5<\/td>\n19.3<\/strong><\/td>\n1<\/td>\n10.8<\/td>\nRB<\/td>\n<\/tr>\n
15<\/td>\n11\/26\/10 @ SAS<\/td>\n12.7<\/td>\n-9.2<\/td>\n21.8<\/strong><\/td>\n1<\/td>\n11.7<\/td>\nRB BH<\/td>\n<\/tr>\n
16<\/td>\n11\/27\/10 vs. MIA<\/td>\n7.1<\/td>\n-10.8<\/td>\n17.9<\/strong><\/td>\n1<\/td>\n6.0<\/td>\nRB<\/td>\n<\/tr>\n
17<\/td>\n11\/29\/10 vs. HOU<\/td>\n-2.2<\/td>\n-10.9<\/td>\n8.7<\/strong><\/td>\n1<\/td>\n-2.1<\/td>\nRB<\/td>\n<\/tr>\n
18<\/td>\n12\/01\/10 vs. MIN<\/td>\n-9.9<\/td>\n-12.5<\/td>\n2.6<\/strong><\/td>\n1<\/td>\n-11.8<\/td>\nRB<\/td>\n<\/tr>\n
19<\/td>\n12\/03\/10 @ UTA<\/td>\n-2.9<\/td>\n-18.0<\/td>\n15.0<\/strong><\/td>\n1<\/td>\n1.5<\/td>\nRB<\/td>\n<\/tr>\n
20<\/td>\n12\/04\/10 @ SAC<\/td>\n5.5<\/td>\n4.5<\/td>\n0.9<\/strong><\/td>\n1<\/td>\n-1.3<\/td>\nRB<\/td>\n<\/tr>\n
21<\/td>\n12\/07\/10 vs. GSW<\/td>\n-4.3<\/td>\n-5.8<\/td>\n1.5<\/strong><\/td>\n1<\/td>\n-3.6<\/td>\nTC RB<\/td>\n<\/tr>\n
22<\/td>\n12\/09\/10 vs. NJN<\/td>\n0.5<\/td>\n-3.8<\/td>\n4.2<\/strong><\/td>\n1<\/td>\n-10.0<\/td>\nRB<\/td>\n<\/tr>\n
23<\/td>\n12\/11\/10 vs. UTA<\/td>\n3.0<\/td>\n5.2<\/td>\n-2.3<\/strong><\/td>\n1<\/td>\n-9.1<\/td>\nRB<\/td>\n<\/tr>\n
24<\/td>\n12\/13\/10 vs. MIL<\/td>\n4.6<\/td>\n15.2<\/td>\n-10.6<\/strong><\/td>\n-1<\/td>\n-6.2<\/td>\nRB<\/td>\n<\/tr>\n
25<\/td>\n12\/15\/10 vs. POR<\/td>\n7.4<\/td>\n5.8<\/td>\n1.6<\/strong><\/td>\n1<\/td>\n-4.1<\/td>\nRB<\/td>\n<\/tr>\n
26<\/td>\n12\/17\/10 vs. PHO<\/td>\n-2.5<\/td>\n-14.1<\/td>\n11.6<\/strong><\/td>\n1<\/td>\n-3.8<\/td>\nRB<\/td>\n<\/tr>\n
27<\/td>\n12\/20\/10 @ MIA<\/td>\n6.2<\/td>\n-5.7<\/td>\n11.9<\/strong><\/td>\n1<\/td>\n9.6<\/td>\nRB<\/td>\n<\/tr>\n
28<\/td>\n12\/21\/10 @ ORL<\/td>\n11.5<\/td>\n-2.7<\/td>\n14.1<\/strong><\/td>\n1<\/td>\n7.6<\/td>\nRB<\/td>\n<\/tr>\n
29<\/td>\n12\/27\/10 @ OKC<\/td>\n8.3<\/td>\n-16.3<\/td>\n24.6<\/strong><\/td>\n1<\/td>\n14.0<\/td>\nRB<\/td>\n<\/tr>\n
30<\/td>\n12\/28\/10 vs. TOR<\/td>\n-26.1<\/td>\n-6.7<\/td>\n-19.5<\/strong><\/td>\n-1<\/td>\n-10.0<\/td>\nDN RB<\/td>\n<\/tr>\n
31<\/td>\n12\/30\/10 vs. SAS<\/td>\n-5.4<\/td>\n-4.1<\/td>\n-1.3<\/strong><\/td>\n-1<\/td>\n5.2<\/td>\nDN RB BH<\/td>\n<\/tr>\n
32<\/td>\n01\/01\/11 @ MIL<\/td>\n-8.3<\/td>\n4.8<\/td>\n-13.1<\/strong><\/td>\n-1<\/td>\n-0.3<\/td>\nDN SM RB CB<\/td>\n<\/tr>\n
33<\/td>\n01\/02\/11 @ CLE<\/td>\n6.3<\/td>\n1.8<\/td>\n4.5<\/strong><\/td>\n1<\/td>\n-5.7<\/td>\nDN RB CB<\/td>\n<\/tr>\n
34<\/td>\n01\/04\/11 vs. POR<\/td>\n-3.8<\/td>\n-9.3<\/td>\n5.5<\/strong><\/td>\n1<\/td>\n1.8<\/td>\nDN RB CB<\/td>\n<\/tr>\n
35<\/td>\n01\/06\/11 vs. OKC<\/td>\n-0.8<\/td>\n2.9<\/td>\n-3.6<\/strong><\/td>\n-1<\/td>\n0.9<\/td>\nDN RB CB<\/td>\n<\/tr>\n
36<\/td>\n01\/08\/11 vs. ORL<\/td>\n7.6<\/td>\n20.6<\/td>\n-13.0<\/strong><\/td>\n-1<\/td>\n-2.3<\/td>\nDN RB CB<\/td>\n<\/tr>\n
37<\/td>\n01\/12\/11 @ IND<\/td>\n-2.8<\/td>\n11.8<\/td>\n-14.6<\/strong><\/td>\n-1<\/td>\n0.6<\/td>\nDN RB CB<\/td>\n<\/tr>\n
38<\/td>\n01\/14\/11 @ SAS<\/td>\n-5.9<\/td>\n1.7<\/td>\n-7.6<\/strong><\/td>\n-1<\/td>\n5.8<\/td>\nDN RB CB<\/td>\n<\/tr>\n
39<\/td>\n01\/15\/11 @ MEM<\/td>\n-21.6<\/td>\n-8.1<\/td>\n-13.5<\/strong><\/td>\n-1<\/td>\n8.7<\/td>\nTC RB CB<\/td>\n<\/tr>\n
40<\/td>\n01\/17\/11 @ DET<\/td>\n-2.6<\/td>\n15.5<\/td>\n-18.1<\/strong><\/td>\n-1<\/td>\n-1.0<\/td>\nTC RB CB<\/td>\n<\/tr>\n
41<\/td>\n01\/19\/11 vs. LAL<\/td>\n20.9<\/td>\n10.2<\/td>\n10.7<\/strong><\/td>\n1<\/td>\n0.0<\/td>\nRB CB<\/td>\n<\/tr>\n
42<\/td>\n01\/20\/11 @ CHI<\/td>\n-8.9<\/td>\n-14.5<\/td>\n5.6<\/strong><\/td>\n-1<\/td>\n11.5<\/td>\nRB CB PS<\/td>\n<\/tr>\n
43<\/td>\n01\/22\/11 @ NJN<\/td>\n-12.4<\/td>\n-8.8<\/td>\n-3.6<\/strong><\/td>\n1<\/td>\n-4.7<\/td>\nRB CB PS<\/td>\n<\/tr>\n
44<\/td>\n01\/25\/11 vs. LAC<\/td>\n14.4<\/td>\n12.6<\/td>\n1.9<\/strong><\/td>\n1<\/td>\n-6.0<\/td>\nRB CB PS<\/td>\n<\/tr>\n
45<\/td>\n01\/27\/11 vs. HOU<\/td>\n4.9<\/td>\n4.6<\/td>\n0.3<\/strong><\/td>\n1<\/td>\n-5.0<\/td>\nRB CB PS<\/td>\n<\/tr>\n
46<\/td>\n01\/29\/11 vs. ATL<\/td>\n4.3<\/td>\n-0.1<\/td>\n4.3<\/strong><\/td>\n1<\/td>\n-8.2<\/td>\nRB CB PS<\/td>\n<\/tr>\n
47<\/td>\n01\/31\/11 vs. WAS<\/td>\n0.9<\/td>\n3.7<\/td>\n-2.8<\/strong><\/td>\n1<\/td>\n-14.1<\/td>\nRB CB PS<\/td>\n<\/tr>\n
48<\/td>\n02\/02\/11 @ NYK<\/td>\n6.4<\/td>\n-12.6<\/td>\n19.0<\/strong><\/td>\n1<\/td>\n2.5<\/td>\nRB CB PS<\/td>\n<\/tr>\n
49<\/td>\n02\/04\/11 @ BOS<\/td>\n15.4<\/td>\n3.6<\/td>\n11.8<\/strong><\/td>\n1<\/td>\n7.2<\/td>\nRB CB PS<\/td>\n<\/tr>\n
50<\/td>\n02\/05\/11 @ CHA<\/td>\n10.2<\/td>\n1.0<\/td>\n9.3<\/strong><\/td>\n1<\/td>\n-1.2<\/td>\nRB CB PS<\/td>\n<\/tr>\n
51<\/td>\n02\/07\/11 vs. CLE<\/td>\n-8.1<\/td>\n1.6<\/td>\n-9.7<\/strong><\/td>\n1<\/td>\n-12.9<\/td>\nRB CB BH<\/td>\n<\/tr>\n
52<\/td>\n02\/09\/11 @ SAC<\/td>\n6.4<\/td>\n6.2<\/td>\n0.2<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nRB CB<\/td>\n<\/tr>\n
53<\/td>\n02\/10\/11 @ DEN<\/td>\n21.0<\/td>\n14.2<\/td>\n6.8<\/strong><\/td>\n-1<\/td>\n7.9<\/td>\nRB CB<\/td>\n<\/tr>\n
54<\/td>\n02\/12\/11 @ HOU<\/td>\n12.0<\/td>\n1.1<\/td>\n10.9<\/strong><\/td>\n1<\/td>\n6.4<\/td>\nRB CB BH<\/td>\n<\/tr>\n
55<\/td>\n02\/16\/11 vs. SAC<\/td>\n2.2<\/td>\n-1.8<\/td>\n4.1<\/strong><\/td>\n1<\/td>\n-11.9<\/td>\nCB<\/td>\n<\/tr>\n
56<\/td>\n02\/17\/11 @ PHO<\/td>\n8.1<\/td>\n-4.2<\/td>\n12.3<\/strong><\/td>\n1<\/td>\n6.1<\/td>\nCB<\/td>\n<\/tr>\n
57<\/td>\n02\/23\/11 vs. UTA<\/td>\n11.3<\/td>\n-3.4<\/td>\n14.7<\/strong><\/td>\n1<\/td>\n-4.9<\/td>\nCB<\/td>\n<\/tr>\n
58<\/td>\n02\/26\/11 @ WAS<\/td>\n-6.5<\/td>\n-3.9<\/td>\n-2.7<\/strong><\/td>\n1<\/td>\n-8.8<\/td>\nCB DS<\/td>\n<\/tr>\n
59<\/td>\n02\/27\/11 @ TOR<\/td>\n14.5<\/td>\n-5.1<\/td>\n19.6<\/strong><\/td>\n1<\/td>\n-0.1<\/td>\nCB BH<\/td>\n<\/tr>\n
60<\/td>\n03\/01\/11 @ PHI<\/td>\n3.1<\/td>\n-12.6<\/td>\n15.7<\/strong><\/td>\n1<\/td>\n7.4<\/td>\nCB DS<\/td>\n<\/tr>\n
61<\/td>\n03\/04\/11 vs. IND<\/td>\n10.8<\/td>\n8.4<\/td>\n2.4<\/strong><\/td>\n1<\/td>\n-6.0<\/td>\nTC CB<\/td>\n<\/tr>\n
62<\/td>\n03\/06\/11 vs. MEM<\/td>\n9.2<\/td>\n10.8<\/td>\n-1.5<\/strong><\/td>\n-1<\/td>\n-0.3<\/td>\nTC CB DS<\/td>\n<\/tr>\n
63<\/td>\n03\/07\/11 @ MIN<\/td>\n3.6<\/td>\n2.4<\/td>\n1.2<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nTC CB DS<\/td>\n<\/tr>\n
64<\/td>\n03\/09\/11 @ NOH<\/td>\n1.7<\/td>\n-1.3<\/td>\n2.9<\/strong><\/td>\n-1<\/td>\n4.1<\/td>\nCB PS<\/td>\n<\/tr>\n
65<\/td>\n03\/10\/11 vs. NYK<\/td>\n19.2<\/td>\n2.6<\/td>\n16.7<\/strong><\/td>\n1<\/td>\n-2.4<\/td>\nCB PS DS<\/td>\n<\/tr>\n
66<\/td>\n03\/12\/11 vs. LAL<\/td>\n-3.3<\/td>\n-3.5<\/td>\n0.3<\/strong><\/td>\n-1<\/td>\n5.9<\/td>\nCB PS DS<\/td>\n<\/tr>\n
67<\/td>\n03\/15\/11 @ POR<\/td>\n15.7<\/td>\n14.0<\/td>\n1.8<\/strong><\/td>\n-1<\/td>\n5.4<\/td>\nCB PS BH<\/td>\n<\/tr>\n
68<\/td>\n03\/16\/11 @ GSW<\/td>\n10.7<\/td>\n2.4<\/td>\n8.3<\/strong><\/td>\n1<\/td>\n1.8<\/td>\nCB PS BH DS<\/td>\n<\/tr>\n
69<\/td>\n03\/18\/11 vs. SAS<\/td>\n-7.4<\/td>\n-3.9<\/td>\n-3.5<\/strong><\/td>\n-1<\/td>\n3.1<\/td>\nCB PS<\/td>\n<\/tr>\n
70<\/td>\n03\/20\/11 vs. GSW<\/td>\n-3.6<\/td>\n-28.5<\/td>\n24.9<\/strong><\/td>\n1<\/td>\n-5.1<\/td>\nSM CB BH<\/td>\n<\/tr>\n
71<\/td>\n03\/24\/11 vs. MIN<\/td>\n-2.6<\/td>\n-1.4<\/td>\n-1.2<\/strong><\/td>\n1<\/td>\n-9.7<\/td>\nCB DS<\/td>\n<\/tr>\n
72<\/td>\n03\/26\/11 @ UTA<\/td>\n-4.4<\/td>\n-22.0<\/td>\n17.7<\/strong><\/td>\n1<\/td>\n-1.4<\/td>\nCB<\/td>\n<\/tr>\n
73<\/td>\n03\/27\/11 @ PHO<\/td>\n-6.2<\/td>\n-21.9<\/td>\n15.7<\/strong><\/td>\n1<\/td>\n6.8<\/td>\nCB DS<\/td>\n<\/tr>\n
74<\/td>\n03\/30\/11 @ LAC<\/td>\n3.3<\/td>\n-2.9<\/td>\n6.1<\/strong><\/td>\n1<\/td>\n-0.2<\/td>\nCB DS<\/td>\n<\/tr>\n
75<\/td>\n03\/31\/11 @ LAL<\/td>\n-17.1<\/td>\n2.0<\/td>\n-19.1<\/strong><\/td>\n-1<\/td>\n10.7<\/td>\nCB<\/td>\n<\/tr>\n
76<\/td>\n04\/02\/11 @ GSW<\/td>\n-12.6<\/td>\n-8.0<\/td>\n-4.6<\/strong><\/td>\n-1<\/td>\n2.8<\/td>\nCB<\/td>\n<\/tr>\n
77<\/td>\n04\/03\/11 @ POR<\/td>\n4.3<\/td>\n2.3<\/td>\n2.0<\/strong><\/td>\n-1<\/td>\n11.0<\/td>\nCB<\/td>\n<\/tr>\n
78<\/td>\n04\/06\/11 vs. DEN<\/td>\n-6.5<\/td>\n3.5<\/td>\n-10.0<\/strong><\/td>\n-1<\/td>\n-1.2<\/td>\nJK CB<\/td>\n<\/tr>\n
79<\/td>\n04\/08\/11 vs. LAC<\/td>\n0.2<\/td>\n-2.3<\/td>\n2.5<\/strong><\/td>\n1<\/td>\n-9.0<\/td>\nJK CB<\/td>\n<\/tr>\n
80<\/td>\n04\/10\/11 vs. PHO<\/td>\n13.8<\/td>\n-9.6<\/td>\n23.4<\/strong><\/td>\n1<\/td>\n-3.8<\/td>\nCB DS<\/td>\n<\/tr>\n
81<\/td>\n04\/11\/11 @ HOU<\/td>\n-9.6<\/td>\n-26.2<\/td>\n16.6<\/strong><\/td>\n1<\/td>\n9.7<\/td>\nCB DS<\/td>\n<\/tr>\n
82<\/td>\n04\/13\/11 vs. NOH<\/td>\n20.7<\/td>\n-11.0<\/td>\n31.7<\/strong><\/td>\n1<\/td>\n-2.4<\/td>\nCB<\/td>\n<\/tr>\n
83<\/td>\n04\/16\/11 vs. POR<\/td>\n1.7<\/td>\n-7.0<\/td>\n8.8<\/strong><\/td>\n1<\/td>\n-1.1<\/td>\nRB CB<\/td>\n<\/tr>\n
84<\/td>\n04\/19\/11 vs. POR<\/td>\n15.5<\/td>\n2.0<\/td>\n13.6<\/strong><\/td>\n1<\/td>\n-1.1<\/td>\nRB CB<\/td>\n<\/tr>\n
85<\/td>\n04\/21\/11 @ POR<\/td>\n2.7<\/td>\n3.1<\/td>\n-0.4<\/strong><\/td>\n-1<\/td>\n5.4<\/td>\nRB CB DS<\/td>\n<\/tr>\n
86<\/td>\n04\/23\/11 @ POR<\/td>\n-4.2<\/td>\n-7.2<\/td>\n3.0<\/strong><\/td>\n-1<\/td>\n5.4<\/td>\nRB CB<\/td>\n<\/tr>\n
87<\/td>\n04\/25\/11 vs. POR<\/td>\n3.5<\/td>\n-8.5<\/td>\n12.1<\/strong><\/td>\n1<\/td>\n-1.1<\/td>\nRB CB<\/td>\n<\/tr>\n
88<\/td>\n04\/28\/11 @ POR<\/td>\n22.1<\/td>\n8.1<\/td>\n14.0<\/strong><\/td>\n1<\/td>\n5.4<\/td>\nRB CB<\/td>\n<\/tr>\n
89<\/td>\n05\/02\/11 @ LAL<\/td>\n3.8<\/td>\n-7.8<\/td>\n11.7<\/strong><\/td>\n1<\/td>\n9.4<\/td>\nRB CB<\/td>\n<\/tr>\n
90<\/td>\n05\/04\/11 @ LAL<\/td>\n5.2<\/td>\n-18.1<\/td>\n23.4<\/strong><\/td>\n1<\/td>\n9.4<\/td>\nRB CB<\/td>\n<\/tr>\n
91<\/td>\n05\/06\/11 vs. LAL<\/td>\n12.4<\/td>\n2.2<\/td>\n10.2<\/strong><\/td>\n1<\/td>\n2.9<\/td>\nRB CB<\/td>\n<\/tr>\n
92<\/td>\n05\/08\/11 vs. LAL<\/td>\n25.4<\/td>\n-16.4<\/td>\n41.8<\/strong><\/td>\n1<\/td>\n2.9<\/td>\nRB CB<\/td>\n<\/tr>\n
93<\/td>\n05\/17\/11 vs. OKC<\/td>\n25.9<\/td>\n15.1<\/td>\n10.9<\/strong><\/td>\n1<\/td>\n0.9<\/td>\nRB CB<\/td>\n<\/tr>\n
94<\/td>\n05\/19\/11 vs. OKC<\/td>\n8.5<\/td>\n14.7<\/td>\n-6.1<\/strong><\/td>\n-1<\/td>\n0.9<\/td>\nRB CB<\/td>\n<\/tr>\n
95<\/td>\n05\/21\/11 @ OKC<\/td>\n-0.7<\/td>\n-14.8<\/td>\n14.0<\/strong><\/td>\n1<\/td>\n7.3<\/td>\nRB CB<\/td>\n<\/tr>\n
96<\/td>\n05\/23\/11 @ OKC<\/td>\n3.0<\/td>\n-11.2<\/td>\n14.1<\/strong><\/td>\n1<\/td>\n7.3<\/td>\nRB CB<\/td>\n<\/tr>\n
97<\/td>\n05\/25\/11 vs. OKC<\/td>\n3.7<\/td>\n-1.6<\/td>\n5.4<\/strong><\/td>\n1<\/td>\n0.9<\/td>\nRB CB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Miami Heat Game Log<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Gm<\/strong><\/th>\nInformation<\/strong><\/th>\nOE<\/strong><\/th>\nDE<\/strong><\/th>\nMar<\/strong><\/th>\nWin<\/strong><\/th>\nDifficulty<\/strong><\/th>\nOut<\/strong><\/th>\n<\/tr>\n
1<\/td>\n10\/26\/10 @ BOS<\/td>\n-7.9<\/td>\n-7.6<\/td>\n-0.3<\/strong><\/td>\n-1<\/td>\n8.8<\/td>\nMM MC<\/td>\n<\/tr>\n
2<\/td>\n10\/27\/10 @ PHI<\/td>\n0.1<\/td>\n-12.0<\/td>\n12.1<\/strong><\/td>\n1<\/td>\n1.2<\/td>\nMM MC<\/td>\n<\/tr>\n
3<\/td>\n10\/29\/10 vs. ORL<\/td>\n3.1<\/td>\n-27.9<\/td>\n31.0<\/strong><\/td>\n1<\/td>\n1.4<\/td>\nMM MC<\/td>\n<\/tr>\n
4<\/td>\n10\/31\/10 @ NJN<\/td>\n10.1<\/td>\n-13.3<\/td>\n23.4<\/strong><\/td>\n1<\/td>\n-3.5<\/td>\nMM MC<\/td>\n<\/tr>\n
5<\/td>\n11\/02\/10 vs. MIN<\/td>\n15.2<\/td>\n-5.6<\/td>\n20.8<\/strong><\/td>\n1<\/td>\n-11.2<\/td>\nMM<\/td>\n<\/tr>\n
6<\/td>\n11\/05\/10 @ NOH<\/td>\n0.5<\/td>\n-1.8<\/td>\n2.3<\/strong><\/td>\n-1<\/td>\n5.7<\/td>\nMM MC<\/td>\n<\/tr>\n
7<\/td>\n11\/06\/10 vs. NJN<\/td>\n-3.9<\/td>\n-6.3<\/td>\n2.4<\/strong><\/td>\n1<\/td>\n-10.7<\/td>\nMM MC<\/td>\n<\/tr>\n
8<\/td>\n11\/09\/10 vs. UTA<\/td>\n-0.9<\/td>\n6.0<\/td>\n-6.9<\/strong><\/td>\n-1<\/td>\n-4.9<\/td>\nMM MC<\/td>\n<\/tr>\n
9<\/td>\n11\/11\/10 vs. BOS<\/td>\n14.9<\/td>\n19.7<\/td>\n-4.8<\/strong><\/td>\n-1<\/td>\n0.7<\/td>\nMM MC<\/td>\n<\/tr>\n
10<\/td>\n11\/13\/10 vs. TOR<\/td>\n3.6<\/td>\n7.8<\/td>\n-4.2<\/strong><\/td>\n1<\/td>\n-14.1<\/td>\nMM<\/td>\n<\/tr>\n
11<\/td>\n11\/17\/10 vs. PHO<\/td>\n13.9<\/td>\n-9.4<\/td>\n23.3<\/strong><\/td>\n1<\/td>\n-4.6<\/td>\nMM MC<\/td>\n<\/tr>\n
12<\/td>\n11\/19\/10 vs. CHA<\/td>\n-7.0<\/td>\n-5.8<\/td>\n-1.2<\/strong><\/td>\n1<\/td>\n-9.9<\/td>\nMM MC<\/td>\n<\/tr>\n
13<\/td>\n11\/20\/10 @ MEM<\/td>\n7.1<\/td>\n2.6<\/td>\n4.6<\/strong><\/td>\n-1<\/td>\n6.9<\/td>\nMM JA DW<\/td>\n<\/tr>\n
14<\/td>\n11\/22\/10 vs. IND<\/td>\n-24.5<\/td>\n-5.7<\/td>\n-18.7<\/strong><\/td>\n-1<\/td>\n-1.6<\/td>\nUH MM MC JA<\/td>\n<\/tr>\n
15<\/td>\n11\/24\/10 @ ORL<\/td>\n6.7<\/td>\n8.6<\/td>\n-1.9<\/strong><\/td>\n-1<\/td>\n8.3<\/td>\nUH MM MC<\/td>\n<\/tr>\n
16<\/td>\n11\/26\/10 vs. PHI<\/td>\n6.5<\/td>\n1.0<\/td>\n5.5<\/strong><\/td>\n1<\/td>\n-5.0<\/td>\nUH MM<\/td>\n<\/tr>\n
17<\/td>\n11\/27\/10 @ DAL<\/td>\n-2.9<\/td>\n1.5<\/td>\n-4.5<\/strong><\/td>\n-1<\/td>\n7.4<\/td>\nUH MM<\/td>\n<\/tr>\n
18<\/td>\n11\/29\/10 vs. WAS<\/td>\n-1.2<\/td>\n-4.4<\/td>\n3.2<\/strong><\/td>\n1<\/td>\n-8.2<\/td>\nUH MM<\/td>\n<\/tr>\n
19<\/td>\n12\/01\/10 vs. DET<\/td>\n-1.8<\/td>\n-19.7<\/td>\n17.9<\/strong><\/td>\n1<\/td>\n-11.6<\/td>\nUH MM<\/td>\n<\/tr>\n
20<\/td>\n12\/02\/10 @ CLE<\/td>\n20.4<\/td>\n-7.8<\/td>\n28.2<\/strong><\/td>\n1<\/td>\n-2.3<\/td>\nUH MM<\/td>\n<\/tr>\n
21<\/td>\n12\/04\/10 vs. ATL<\/td>\n-5.9<\/td>\n-14.9<\/td>\n9.0<\/strong><\/td>\n1<\/td>\n-5.2<\/td>\nUH MM<\/td>\n<\/tr>\n
22<\/td>\n12\/06\/10 @ MIL<\/td>\n2.8<\/td>\n-10.8<\/td>\n13.6<\/strong><\/td>\n1<\/td>\n1.9<\/td>\nUH MM<\/td>\n<\/tr>\n
23<\/td>\n12\/08\/10 @ UTA<\/td>\n18.3<\/td>\n2.0<\/td>\n16.2<\/strong><\/td>\n1<\/td>\n1.5<\/td>\nUH MM JA<\/td>\n<\/tr>\n
24<\/td>\n12\/10\/10 @ GSW<\/td>\n9.9<\/td>\n-13.6<\/td>\n23.5<\/strong><\/td>\n1<\/td>\n-1.6<\/td>\nUH MM<\/td>\n<\/tr>\n
25<\/td>\n12\/11\/10 @ SAC<\/td>\n5.0<\/td>\n-18.3<\/td>\n23.3<\/strong><\/td>\n1<\/td>\n0.6<\/td>\nUH MM<\/td>\n<\/tr>\n
26<\/td>\n12\/13\/10 vs. NOH<\/td>\n7.8<\/td>\n-3.3<\/td>\n11.1<\/strong><\/td>\n1<\/td>\n-3.5<\/td>\nUH MM JA<\/td>\n<\/tr>\n
27<\/td>\n12\/15\/10 vs. CLE<\/td>\n-2.3<\/td>\n5.4<\/td>\n-7.7<\/strong><\/td>\n1<\/td>\n-14.4<\/td>\nUH MM CA<\/td>\n<\/tr>\n
28<\/td>\n12\/17\/10 @ NYK<\/td>\n8.1<\/td>\n-18.5<\/td>\n26.7<\/strong><\/td>\n1<\/td>\n4.1<\/td>\nUH MM<\/td>\n<\/tr>\n
29<\/td>\n12\/18\/10 @ WAS<\/td>\n-7.2<\/td>\n-7.7<\/td>\n0.5<\/strong><\/td>\n1<\/td>\n-0.6<\/td>\nUH MM<\/td>\n<\/tr>\n
30<\/td>\n12\/20\/10 vs. DAL<\/td>\n2.2<\/td>\n0.7<\/td>\n1.5<\/strong><\/td>\n-1<\/td>\n3.8<\/td>\nUH MM<\/td>\n<\/tr>\n
31<\/td>\n12\/23\/10 @ PHO<\/td>\n-5.4<\/td>\n-21.4<\/td>\n16.0<\/strong><\/td>\n1<\/td>\n2.7<\/td>\nUH MM DW<\/td>\n<\/tr>\n
32<\/td>\n12\/25\/10 @ LAL<\/td>\n6.3<\/td>\n-19.4<\/td>\n25.8<\/strong><\/td>\n1<\/td>\n7.3<\/td>\nUH MM JA<\/td>\n<\/tr>\n
33<\/td>\n12\/28\/10 vs. NYK<\/td>\n3.8<\/td>\n-2.5<\/td>\n6.4<\/strong><\/td>\n1<\/td>\n-2.4<\/td>\nUH MM<\/td>\n<\/tr>\n
34<\/td>\n12\/29\/10 @ HOU<\/td>\n20.6<\/td>\n5.6<\/td>\n15.0<\/strong><\/td>\n1<\/td>\n9.0<\/td>\nUH MM<\/td>\n<\/tr>\n
35<\/td>\n01\/01\/11 vs. GSW<\/td>\n4.1<\/td>\n4.4<\/td>\n-0.3<\/strong><\/td>\n1<\/td>\n-7.7<\/td>\nUH MM<\/td>\n<\/tr>\n
36<\/td>\n01\/03\/11 @ CHA<\/td>\n4.0<\/td>\n-9.5<\/td>\n13.5<\/strong><\/td>\n1<\/td>\n-2.8<\/td>\nUH MM<\/td>\n<\/tr>\n
37<\/td>\n01\/04\/11 vs. MIL<\/td>\n10.7<\/td>\n-0.9<\/td>\n11.6<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nUH MM<\/td>\n<\/tr>\n
38<\/td>\n01\/07\/11 @ MIL<\/td>\n-3.0<\/td>\n-9.4<\/td>\n6.3<\/strong><\/td>\n1<\/td>\n0.4<\/td>\nUH MM JA<\/td>\n<\/tr>\n
39<\/td>\n01\/09\/11 @ POR<\/td>\n7.4<\/td>\n-5.3<\/td>\n12.7<\/strong><\/td>\n1<\/td>\n5.4<\/td>\nUH MM<\/td>\n<\/tr>\n
40<\/td>\n01\/12\/11 @ LAC<\/td>\n2.7<\/td>\n8.6<\/td>\n-5.9<\/strong><\/td>\n-1<\/td>\n0.4<\/td>\nUH MM<\/td>\n<\/tr>\n
41<\/td>\n01\/13\/11 @ DEN<\/td>\n-0.5<\/td>\n16.6<\/td>\n-17.2<\/strong><\/td>\n-1<\/td>\n11.3<\/td>\nUH LJ<\/td>\n<\/tr>\n
42<\/td>\n01\/15\/11 @ CHI<\/td>\n8.3<\/td>\n2.6<\/td>\n5.8<\/strong><\/td>\n-1<\/td>\n9.2<\/td>\nUH LJ<\/td>\n<\/tr>\n
43<\/td>\n01\/18\/11 vs. ATL<\/td>\n-15.4<\/td>\n-4.4<\/td>\n-11.0<\/strong><\/td>\n-1<\/td>\n-6.6<\/td>\nUH CB<\/td>\n<\/tr>\n
44<\/td>\n01\/22\/11 vs. TOR<\/td>\n13.6<\/td>\n7.1<\/td>\n6.5<\/strong><\/td>\n1<\/td>\n-12.0<\/td>\nUH DW CB<\/td>\n<\/tr>\n
45<\/td>\n01\/27\/11 @ NYK<\/td>\n-11.8<\/td>\n-10.9<\/td>\n-0.9<\/strong><\/td>\n-1<\/td>\n4.6<\/td>\nUH CB<\/td>\n<\/tr>\n
46<\/td>\n01\/28\/11 vs. DET<\/td>\n-3.8<\/td>\n-0.9<\/td>\n-2.9<\/strong><\/td>\n1<\/td>\n-4.1<\/td>\nUH DW CB<\/td>\n<\/tr>\n
47<\/td>\n01\/30\/11 @ OKC<\/td>\n10.0<\/td>\n-5.6<\/td>\n15.6<\/strong><\/td>\n1<\/td>\n10.3<\/td>\nUH<\/td>\n<\/tr>\n
48<\/td>\n01\/31\/11 vs. CLE<\/td>\n12.0<\/td>\n-5.9<\/td>\n17.9<\/strong><\/td>\n1<\/td>\n-11.4<\/td>\nUH<\/td>\n<\/tr>\n
49<\/td>\n02\/03\/11 @ ORL<\/td>\n14.6<\/td>\n1.8<\/td>\n12.8<\/strong><\/td>\n1<\/td>\n8.3<\/td>\nUH<\/td>\n<\/tr>\n
50<\/td>\n02\/04\/11 @ CHA<\/td>\n23.8<\/td>\n7.5<\/td>\n16.4<\/strong><\/td>\n1<\/td>\n2.2<\/td>\nUH<\/td>\n<\/tr>\n
51<\/td>\n02\/06\/11 vs. LAC<\/td>\n-4.1<\/td>\n-20.4<\/td>\n16.2<\/strong><\/td>\n1<\/td>\n-3.1<\/td>\nUH<\/td>\n<\/tr>\n
52<\/td>\n02\/08\/11 vs. IND<\/td>\n17.3<\/td>\n16.5<\/td>\n0.8<\/strong><\/td>\n1<\/td>\n-4.6<\/td>\nUH<\/td>\n<\/tr>\n
53<\/td>\n02\/11\/11 @ DET<\/td>\n6.9<\/td>\n-6.5<\/td>\n13.4<\/strong><\/td>\n1<\/td>\n-2.4<\/td>\nUH<\/td>\n<\/tr>\n
54<\/td>\n02\/13\/11 @ BOS<\/td>\n-6.1<\/td>\n-9.9<\/td>\n3.8<\/strong><\/td>\n-1<\/td>\n7.2<\/td>\nUH<\/td>\n<\/tr>\n
55<\/td>\n02\/15\/11 @ IND<\/td>\n5.0<\/td>\n-2.4<\/td>\n7.4<\/strong><\/td>\n1<\/td>\n0.3<\/td>\nUH<\/td>\n<\/tr>\n
56<\/td>\n02\/16\/11 @ TOR<\/td>\n-2.2<\/td>\n-9.8<\/td>\n7.6<\/strong><\/td>\n1<\/td>\n-0.9<\/td>\nUH MM<\/td>\n<\/tr>\n
57<\/td>\n02\/22\/11 vs. SAC<\/td>\n15.8<\/td>\n3.0<\/td>\n12.9<\/strong><\/td>\n1<\/td>\n-8.4<\/td>\nUH MM<\/td>\n<\/tr>\n
58<\/td>\n02\/24\/11 @ CHI<\/td>\n-6.2<\/td>\n-8.8<\/td>\n2.6<\/strong><\/td>\n-1<\/td>\n6.9<\/td>\nUH MM<\/td>\n<\/tr>\n
59<\/td>\n02\/25\/11 vs. WAS<\/td>\n12.0<\/td>\n13.7<\/td>\n-1.7<\/strong><\/td>\n1<\/td>\n-10.0<\/td>\nUH MM JA<\/td>\n<\/tr>\n
60<\/td>\n02\/27\/11 vs. NYK<\/td>\n-20.0<\/td>\n-15.4<\/td>\n-4.7<\/strong><\/td>\n-1<\/td>\n0.5<\/td>\nUH<\/td>\n<\/tr>\n
61<\/td>\n03\/03\/11 vs. ORL<\/td>\n8.4<\/td>\n7.9<\/td>\n0.5<\/strong><\/td>\n-1<\/td>\n4.0<\/td>\nUH<\/td>\n<\/tr>\n
62<\/td>\n03\/04\/11 @ SAS<\/td>\n-4.2<\/td>\n18.6<\/td>\n-22.8<\/strong><\/td>\n-1<\/td>\n9.2<\/td>\nUH JA<\/td>\n<\/tr>\n
63<\/td>\n03\/06\/11 vs. CHI<\/td>\n1.3<\/td>\n-4.3<\/td>\n5.6<\/strong><\/td>\n-1<\/td>\n6.8<\/td>\nUH JA<\/td>\n<\/tr>\n
64<\/td>\n03\/08\/11 vs. POR<\/td>\n3.8<\/td>\n19.8<\/td>\n-16.0<\/strong><\/td>\n-1<\/td>\n-5.2<\/td>\nUH JJ<\/td>\n<\/tr>\n
65<\/td>\n03\/10\/11 vs. LAL<\/td>\n8.1<\/td>\n-2.1<\/td>\n10.2<\/strong><\/td>\n1<\/td>\n2.9<\/td>\nUH JJ<\/td>\n<\/tr>\n
66<\/td>\n03\/12\/11 vs. MEM<\/td>\n22.0<\/td>\n-12.3<\/td>\n34.3<\/strong><\/td>\n1<\/td>\n-1.9<\/td>\nUH<\/td>\n<\/tr>\n
67<\/td>\n03\/14\/11 vs. SAS<\/td>\n12.7<\/td>\n-19.9<\/td>\n32.5<\/strong><\/td>\n1<\/td>\n-0.7<\/td>\nUH JJ<\/td>\n<\/tr>\n
68<\/td>\n03\/16\/11 vs. OKC<\/td>\n-14.8<\/td>\n-0.3<\/td>\n-14.5<\/strong><\/td>\n-1<\/td>\n-2.1<\/td>\nUH JJ<\/td>\n<\/tr>\n
69<\/td>\n03\/18\/11 @ ATL<\/td>\n15.3<\/td>\n-11.1<\/td>\n26.3<\/strong><\/td>\n1<\/td>\n2.4<\/td>\nUH<\/td>\n<\/tr>\n
70<\/td>\n03\/19\/11 vs. DEN<\/td>\n2.0<\/td>\n-4.9<\/td>\n6.9<\/strong><\/td>\n1<\/td>\n1.4<\/td>\nUH<\/td>\n<\/tr>\n
71<\/td>\n03\/23\/11 @ DET<\/td>\n8.1<\/td>\n1.4<\/td>\n6.7<\/strong><\/td>\n1<\/td>\n-0.4<\/td>\nUH MC<\/td>\n<\/tr>\n
72<\/td>\n03\/25\/11 vs. PHI<\/td>\n11.5<\/td>\n0.9<\/td>\n10.7<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nUH MC<\/td>\n<\/tr>\n
73<\/td>\n03\/27\/11 vs. HOU<\/td>\n17.8<\/td>\n14.6<\/td>\n3.2<\/strong><\/td>\n1<\/td>\n-3.0<\/td>\nUH MC<\/td>\n<\/tr>\n
74<\/td>\n03\/29\/11 @ CLE<\/td>\n-6.9<\/td>\n13.2<\/td>\n-20.0<\/strong><\/td>\n-1<\/td>\n-6.4<\/td>\nUH MM MC<\/td>\n<\/tr>\n
75<\/td>\n03\/30\/11 @ WAS<\/td>\n25.7<\/td>\n11.7<\/td>\n14.1<\/strong><\/td>\n1<\/td>\n-3.5<\/td>\nUH MM MC<\/td>\n<\/tr>\n
76<\/td>\n04\/01\/11 @ MIN<\/td>\n8.2<\/td>\n-11.4<\/td>\n19.7<\/strong><\/td>\n1<\/td>\n-0.2<\/td>\nUH MM MC<\/td>\n<\/tr>\n
77<\/td>\n04\/03\/11 @ NJN<\/td>\n5.2<\/td>\n-5.9<\/td>\n11.1<\/strong><\/td>\n1<\/td>\n-3.5<\/td>\nUH JA<\/td>\n<\/tr>\n
78<\/td>\n04\/06\/11 vs. MIL<\/td>\n-6.0<\/td>\n6.5<\/td>\n-12.4<\/strong><\/td>\n-1<\/td>\n-6.5<\/td>\nUH DW<\/td>\n<\/tr>\n
79<\/td>\n04\/08\/11 vs. CHA<\/td>\n10.4<\/td>\n11.2<\/td>\n-0.9<\/strong><\/td>\n1<\/td>\n-10.7<\/td>\nUH<\/td>\n<\/tr>\n
80<\/td>\n04\/10\/11 vs. BOS<\/td>\n15.1<\/td>\n-11.7<\/td>\n26.8<\/strong><\/td>\n1<\/td>\n-0.7<\/td>\nUH<\/td>\n<\/tr>\n
81<\/td>\n04\/11\/11 @ ATL<\/td>\n7.8<\/td>\n-5.2<\/td>\n13.0<\/strong><\/td>\n1<\/td>\n3.6<\/td>\nUH<\/td>\n<\/tr>\n
82<\/td>\n04\/13\/11 @ TOR<\/td>\n3.2<\/td>\n-14.7<\/td>\n17.9<\/strong><\/td>\n1<\/td>\n-3.5<\/td>\nUH CB LJ MM DW<\/td>\n<\/tr>\n
83<\/td>\n04\/16\/11 vs. PHI<\/td>\n6.2<\/td>\n-1.0<\/td>\n7.3<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nUH MM<\/td>\n<\/tr>\n
84<\/td>\n04\/18\/11 vs. PHI<\/td>\n4.0<\/td>\n-18.6<\/td>\n22.7<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nUH MM<\/td>\n<\/tr>\n
85<\/td>\n04\/21\/11 @ PHI<\/td>\n18.8<\/td>\n6.9<\/td>\n11.9<\/strong><\/td>\n1<\/td>\n4.5<\/td>\nUH MM<\/td>\n<\/tr>\n
86<\/td>\n04\/24\/11 @ PHI<\/td>\n-8.0<\/td>\n-7.9<\/td>\n-0.1<\/strong><\/td>\n-1<\/td>\n4.5<\/td>\nUH MM<\/td>\n<\/tr>\n
87<\/td>\n04\/27\/11 vs. PHI<\/td>\n7.6<\/td>\n2.6<\/td>\n5.1<\/strong><\/td>\n1<\/td>\n-2.0<\/td>\nUH MB MM<\/td>\n<\/tr>\n
88<\/td>\n05\/01\/11 vs. BOS<\/td>\n8.7<\/td>\n-3.7<\/td>\n12.4<\/strong><\/td>\n1<\/td>\n2.3<\/td>\nUH<\/td>\n<\/tr>\n
89<\/td>\n05\/03\/11 vs. BOS<\/td>\n15.5<\/td>\n0.6<\/td>\n14.9<\/strong><\/td>\n1<\/td>\n2.3<\/td>\nUH<\/td>\n<\/tr>\n
90<\/td>\n05\/07\/11 @ BOS<\/td>\n0.8<\/td>\n11.8<\/td>\n-10.9<\/strong><\/td>\n-1<\/td>\n8.8<\/td>\nUH<\/td>\n<\/tr>\n
91<\/td>\n05\/09\/11 @ BOS<\/td>\n5.5<\/td>\n-11.7<\/td>\n17.3<\/strong><\/td>\n1<\/td>\n8.8<\/td>\nUH<\/td>\n<\/tr>\n
92<\/td>\n05\/11\/11 vs. BOS<\/td>\n11.1<\/td>\n-2.9<\/td>\n14.0<\/strong><\/td>\n1<\/td>\n2.3<\/td>\nUH MM<\/td>\n<\/tr>\n
93<\/td>\n05\/15\/11 @ CHI<\/td>\n0.8<\/td>\n16.0<\/td>\n-15.1<\/strong><\/td>\n-1<\/td>\n10.4<\/td>\nUH MM<\/td>\n<\/tr>\n
94<\/td>\n05\/18\/11 @ CHI<\/td>\n4.7<\/td>\n-17.8<\/td>\n22.6<\/strong><\/td>\n1<\/td>\n10.4<\/td>\nMC JJ<\/td>\n<\/tr>\n
95<\/td>\n05\/22\/11 vs. CHI<\/td>\n15.4<\/td>\n-1.9<\/td>\n17.3<\/strong><\/td>\n1<\/td>\n3.9<\/td>\nJJ<\/td>\n<\/tr>\n
96<\/td>\n05\/24\/11 vs. CHI<\/td>\n0.4<\/td>\n-11.6<\/td>\n12.0<\/strong><\/td>\n1<\/td>\n3.9<\/td>\nJJ<\/td>\n<\/tr>\n
97<\/td>\n05\/26\/11 @ CHI<\/td>\n-3.2<\/td>\n-16.9<\/td>\n13.8<\/strong><\/td>\n1<\/td>\n10.4<\/td>\nJJ<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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 … [Read more…]<\/a><\/span><\/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":[21,32,54,37,22,24,25],"_links":{"self":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/679"}],"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=679"}],"version-history":[{"count":18,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/679\/revisions"}],"predecessor-version":[{"id":697,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/posts\/679\/revisions\/697"}],"wp:attachment":[{"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/media?parent=679"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/categories?post=679"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/godismyjudgeok.com\/DStats\/wp-json\/wp\/v2\/tags?post=679"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}