Robin Lopez - CHI - C

 Open Historical Profile
TeamCHI
Age28
Draft2008 (Pick 15)
NBA Salary$13,219,250
Projection Updated1/16/2017

Related Articles (13)

24.5d ago Open link
Ejected Ejected Friday @CHA (flagrant 2)
He was ejected with 38 seconds left in the game.
28.8d
kylemckeown16
100% (1) agree 
deadmau -- I think they're both essentially role players in fantasy, so it depends which fits your team better. Do you need better FG%, blocks, go with Lopez. If you need a little more scoring and modest steals (occasional 3s), then Morris is the guy.
28.8d
kylemckeown16
halpink31 -- Maybe, slightly, but he has also shot worse than usual this season, so if he gets his efficiency back up, things would equal out, and that's essentially what's projected.
28.8d
halpink31
Scoring projection a little high?
43.2d
CKALeBeau
100% (2) agree 
@deadmau: Nice! You going to rename your team?
46.6d
kokiAlexandre
I got RoLo in three of my four teams, I just like his play.
46.6d
joshlloyd48
The bump I gave him was in minutes and yes I do think his FG% gets back to normal, but it has been worrying so far
46.7d
#36888
In practice every day or so I'll look at the BBM projections of available players and my rostered players to see if I am rostering the best available (theoretically). Obviously team build, player trends, positions etc go into the decision process as well. You will usually notice when an available player make a jump in their projections.
46.7d
#36888
In this case I have been looking at him all day today, because he just got dumped in my league. I noticed a jump in his projected Z-score a little while ago. There is also a display column in projections you can select showing the last time the projections were updated (12/1).
46.7d
drhoa3
@36888 this may seem like dumb question but I see comments similar to yours and I'm curious. How do you know the projections have changed? Is there a way to see that or have you just looked at RoLo enough to know that there was a change?
46.7d
#36888
Josh - I noticed you just did a meaningful bump in projections for RoLo. So no fear of this poor FG% sticking?
46.9d
#36888
What do you guys think about his poor FG% over the last few weeks? Does he revert to his mean and projections or is this something structurally different? Is he being asked to shoot more and further from the basket? Do his projections need to be revised? He was dropped today (right after an 8 block game!), probably b/c of his poor FG% over the last few weeks. Think of dumping Kanter for him, but the FG% difference scares me (Zeller on the WW too). Thoughts?
47.5d
kokiAlexandre
0% (1) agree 
LOL @cloudstah
47.5d
cloudstah
100% (4) agree 
Are the lakers shooting the ball into his hands?
59.7d
kylemckeown16
100% (1) agree 
Big3 -- I personally don't have much faith in Faried continuing his recent barrage. His steal and block numbers have been nice, but I wouldn't trust them to continue at the rate he's been getting them. The rebounds will always be real. I'd stick with Robin Lopez over Faried.
62.2d
GDiama
100% (2) agree 
He is shooting many jumpers, even shot a corner 3 yesterday. Looks like they try to involve him more. They are a much better team without Rondo on the floor btw.
62.4d
M.C. Hammer
0% (1) agree 
sell high?? are these minutes sustainable ???
62.4d
finessekid
He's also averaging a lot of attempts, is he being encouraged to shoot more? If so he could lend some great efficiency once he adapts to this role.
62.4d
gehrenberg
100% (1) agree 
If he keeps playing 35+ minutes he can be a really good 9 cat player
63.9d
LeopardBluff17
33% (3) agree 
Would you drop Aaron Gordon or Jokic for RoLo in a 10 team, 8 cat H2H?
75.1d
theo156
Marcus for sure, Markieff can be a top60 player this year
75.1d
ami1983
i can get rolo 4 one of the morris brothers(need blks, which brother should i give up?
94.8d
joshlloyd48
I'm down on him the sense I don't think he plays 30 minutes and the projections reflect that but he is still in the late rounds
95.1d
therealcomptroler
Josh, the projections for RoLo looked pretty good, but you're down on him this year? Have you had to adjust his projections?
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
139-0.30Projection 16-17CHISubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
139-0.29NBA 16-17CHI4228.29.10.07.10.80.21.7.4708.8.6551.31.116.2-0.96-1.380.54-0.98-1.971.840.01-0.490.76
162-0.33Last WeekCHI430.210.50.07.51.50.32.0.41910.8.6002.51.018.1-0.72-1.380.68-0.67-1.772.39-1.02-1.290.84
228-0.51Last 2 WeeksCHI728.18.10.06.31.00.11.4.4038.9.6361.60.915.7-1.12-1.380.23-0.89-2.031.37-1.09-0.661.00
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
84-0.11NBA 15-16NYK8227.010.30.07.31.40.21.6.5398.1.7952.01.617.6-0.77-1.200.69-0.76-1.941.521.140.110.22
102-0.16NBA 14-15POR5927.89.60.06.70.90.31.4.5357.4.7722.21.215.5-0.97-1.190.41-0.94-1.701.260.98-0.010.71
400.11NBA 13-14POR8231.811.10.08.50.90.31.7.5517.9.8183.01.014.0-0.71-1.261.11-1.02-1.631.911.170.331.12
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
207-0.36Projection 16-17CHISubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
214-0.37NBA 16-17CHI4228.211.60.09.11.00.22.2.47011.2.6551.71.416.2-1.19-1.310.32-1.00-1.721.46-0.14-0.400.63
187-0.41Last WeekCHI430.212.50.08.91.80.32.4.41912.8.6003.01.218.1-1.02-1.310.28-0.69-1.591.73-0.87-1.030.81
246-0.54Last 2 WeeksCHI728.110.40.08.01.30.21.8.40311.3.6362.01.115.7-1.42-1.310.08-0.90-1.761.06-0.97-0.550.91
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
96-0.12NBA 15-16NYK8227.013.70.09.81.90.32.1.53910.8.7952.62.217.6-0.77-1.010.65-0.58-1.271.000.730.25-0.08
220-0.30NBA 14-15POR5927.812.40.08.71.20.41.8.5359.6.7722.81.615.5-1.13-1.140.44-0.92-1.680.630.55-0.030.55
420.03NBA 13-14POR8231.812.60.09.71.00.31.9.5518.9.8183.31.214.0-0.98-1.090.79-1.03-1.301.260.940.431.25
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
125-0.26Projection 16-17CHISubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
100-0.20NBA 16-17CHI421182:41382030034771.470368.655554516.2-0.71-1.320.77-0.90-1.852.14-0.01-0.500.59
89-0.15Last WeekCHI4120:5142030618.41943.60010418.1-0.27-1.181.02-0.55-1.162.34-0.78-1.140.42
185-0.42Last 2 WeeksCHI7196:57570447110.40362.63611615.7-0.91-1.280.35-0.87-1.521.42-1.02-0.670.68
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
550.03NBA 15-16NYK822213:31842060211416129.539662.79516113317.6-0.45-1.191.02-0.66-1.771.911.320.10-0.05
135-0.28NBA 14-15POR591637:545660394561684.535437.7721277315.5-1.28-1.210.00-1.02-1.710.880.890.000.97
270.25NBA 13-14POR822603:4090806997325139.551644.8182428414.0-0.40-1.181.39-0.99-1.552.251.380.410.98

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
1/15/2017@ MEMW 108 - 104Y-0.53CHI37:001207203.45511.40051117.5 
1/14/2017NORW 107 - 99Y-0.46CHI26:456010302.25012.00000117.5 
1/12/2017@ NYKL 89 - 104Y-0.18CHI23:321007002.50010.00001119.8 
1/10/2017@ WASL 99 - 101Y-0.14CHI33:341406111.50010.80052217.4 
1/9/2017OKCL 94 - 109Y-0.97CHI25:49304001.14371.00010213.1 
1/7/2017TORW 123 - 118Y-0.72CHI27:04605000.4297.00000210.7 
1/4/2017@ CLEW 106 - 94Y-0.54CHI23:13605101.6005.00002313.9 
1/2/2017CHAW 118 - 111Y-0.44CHI22:31505003.3336.50020112.7 
12/31/2016MILL 96 - 116Y-0.06CHI30:4412010101.54511.00001217.4 
12/30/2016@ INDL 101 - 111Y-0.74CHI18:45202101.00001.0002226.5 
12/28/2016BKNW 101 - 99Y0.15CHI30:481205102.62581.00021112.8 
12/26/2016INDW 90 - 85Y-0.19CHI32:178012021.5008.00013315.8 
12/25/2016@ SASL 100 - 119Y-1.20CHI19:201004100.6676.50044227.1 
12/23/2016@ CHAL 91 - 103Y-0.21CHI32:44609102.3758.00000410.6
Ejected
He was ejected with 38 seconds left in the game.
12/21/2016WASL 97 - 107Y-0.32CHI33:04604111.6005.0000218.6 
12/19/2016DETW 113 - 82Y-0.13CHI25:361406000.70010.00001320.6 
12/16/2016MILL 69 - 95Y-0.90CHI28:20807101.300101.00023021.4 
12/15/2016@ MILL 97 - 108Y-0.29CHI25:26606201.5006.00000211.1 
12/13/2016MINL 94 - 99Y0.59CHI32:531405004.7789.00002115.2 
12/10/2016MIAW 105 - 100Y-0.12CHI30:364010103.2867.0000019.9 
12/8/2016SASW 95 - 91Y-0.03CHI27:481204001.6679.00000013.9 
12/6/2016@ DETL 91 - 102Y-0.94CHI32:54808103.6005.33363115.1 
12/5/2016PORL 110 - 112Y-0.13CHI33:227014202.3336.75041011.1 
12/3/2016@ DALL 82 - 107Y-0.49CHI25:441507001.58312.50023429.4 
12/2/2016CLEW 111 - 105Y-0.65CHI26:131005000.50010.00001217.7 
11/30/2016LALL 90 - 96Y1.00CHI32:201009118.333121.00022319.0 
11/25/2016@ PHIW 105 - 89Y-0.71CHI22:511005101.364111.00022125.1 
11/22/2016@ DENL 107 - 110Y1.14CHI35:211208116.50012.00000214.9 
11/20/2016@ LALW 118 - 110Y0.36CHI27:4412011202.54511.00000016.1 
11/19/2016@ LACL 95 - 102Y0.16CHI25:351006010.8336.00000310.9 
11/17/2016@ UTAW 85 - 77Y-0.43CHI38:1710012002.31316.00000219.2 
11/15/2016@ PORW 113 - 88Y-0.19CHI29:2213011101.400151.00010221.2 
11/12/2016WASW 106 - 95Y-0.59CHI38:0010013102.31316.00002319.3 
11/10/2016@ MIAW 98 - 95Y-0.53CHI37:331609001.40020.00001324.3 
11/9/2016@ ATLL 107 - 115Y-0.38CHI29:44605100.7504.0000035.6 
11/7/2016ORLW 112 - 80Y-0.20CHI24:22807001.5717.00000212.5 
11/5/2016@ INDL 94 - 111Y0.26CHI27:051207002.7508.00001114.9 
11/4/2016NYKL 104 - 117Y-0.67CHI28:38506102.3336.50021211.9 
11/2/2016@ BOSL 100 - 107Y-0.80CHI14:10805002.5006.50042129.4 
10/31/2016@ BKNW 118 - 88Y-0.36CHI19:25405202.20051.00020112.7 
10/29/2016INDW 118 - 101Y0.46CHI18:441206202.71471.00020318.6 
10/27/2016BOSW 105 - 99Y-1.09CHI27:28808100.3758.50041216.3 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2016@ INDL 90 - 102Y-0.29NYK22:15806301.5008.00001019.6 
4/10/2016TORL 89 - 93Y-0.47NYK27:541005101.400101.00021019.0 
4/8/2016@ PHIW 109 - 102Y-0.12NYK28:2324015103.52917.500122436.6 
4/6/2016CHAL 97 - 111Y0.04NYK35:07807312.50061.00023213.2 
4/3/2016INDL 87 - 92Y0.55NYK35:1410015306.31316.00001220.0 
4/1/2016BKNW 105 - 91Y-0.08NYK28:56604204.50041.00023012.5 
3/30/2016@ DALL 89 - 91Y-0.34NYK30:54809200.6676.00002211.8 
3/28/2016@ NORL 91 - 99Y-0.19NYK30:011705202.66712.33333124.0 
3/26/2016CLEL 93 - 107Y-0.50NYK25:44806000.5008.00000314.9 
3/24/2016CHIW 106 - 94Y-0.49NYK33:59407103.5004.00004211.2 
3/23/2016@ CHIW 115 - 107Y0.78NYK33:1711013304.455111.00010215.8 
3/20/2016SACL 80 - 88Y0.60NYK37:3723020012.45020.71472228.1 
3/19/2016@ WASL 89 - 99Y0.20NYK33:54907203.5006.75040110.3 
3/16/2016@ GSWL 85 - 121Y-0.98NYK14:06204010.2504.00002019.5 
3/13/2016@ LALW 90 - 87Y0.40NYK35:401608202.8577.80053116.8 
3/11/2016@ LACL 94 - 101Y0.72NYK44:2120019211.600151.00025120.6 
3/9/2016@ PHOW 128 - 97Y0.80NYK30:081308305.50010.75040218.1 
3/8/2016@ DENL 94 - 110Y-0.90NYK16:48203100.5002.0000118.3 
3/5/2016DETW 102 - 89Y0.52NYK32:112109201.750121.00034226.5 
3/4/2016@ BOSL 104 - 105Y-0.05NYK32:1012012002.40010.80051118.2 
3/1/2016PORL 85 - 104Y-0.48NYK19:19802100.8005.00001314.5 
2/28/2016MIAL 81 - 98Y0.99NYK36:0714014203.66791.00021213.9 
2/26/2016ORLW 108 - 95Y0.59NYK30:501408012.55691.00041317.0 
2/24/2016@ INDL 105 - 108Y-0.12NYK25:12407103.6673.0000229.5 
2/22/2016TORL 95 - 122Y1.10NYK27:5021013010.714141.00010224.1 
2/20/2016@ MINW 103 - 95Y1.38NYK36:0426016003.786141.00045525.8 
2/19/2016@ BKNL 98 - 109Y-0.39NYK30:431007000.44491.00020114.5 
2/9/2016WASL 108 - 111Y0.28NYK27:131408101.66791.00021118.4 
2/7/2016DENL 96 - 101Y-0.51NYK29:57505003.2867.50020412.3 
2/5/2016MEML 85 - 91Y-0.76NYK30:219010000.5717.50023317.0 
2/4/2016@ DETL 105 - 111Y1.57NYK35:1526016210.786141.00042422.4 
2/2/2016BOSL 89 - 97Y0.55NYK37:2217013203.50012.83362119.2 
1/31/2016GSWL 95 - 116Y-0.02NYK18:28605202.6005.00000011.9 
1/29/2016PHOW 102 - 84Y-0.06NYK24:131305001.6258.75040118.6 
1/28/2016@ TORL 93 - 103Y-0.39NYK24:54708002.6005.50022214.2 
1/26/2016OKCL 122 - 128Y-0.69NYK21:531006001.4297.66761021.8 
1/23/2016@ CHAL 84 - 97Y-0.60NYK19:591008002.5717.50043126.7 
1/22/2016LACL 88 - 116Y-0.88NYK17:21607010.27311.00001230.6 
1/20/2016UTAW 118 - 111Y1.40NYK39:5822012003.78614.00001318.2 
1/18/2016PHIW 119 - 113Y0.44NYK33:1416010202.545111.00042220.8 
1/16/2016@ MEML 95 - 103Y-0.50NYK15:01602002.5006.00001422.6 
1/13/2016@ BKNL 104 - 110Y-0.43NYK30:409012001.5008.50022314.6 
1/12/2016BOSW 120 - 114Y0.07NYK25:501505101.8577.75042418.9 
1/10/2016MILW 100 - 88Y0.08NYK27:201309201.50081.00052620.8 
1/8/2016@ SASL 99 - 100Y-0.47NYK34:221203300.46213.00000017.0 
1/6/2016@ MIAW 98 - 90Y0.67NYK34:311904102.750121.00011320.4 
1/5/2016@ ATLW 107 - 101Y-0.06NYK34:48908112.364111.00011216.5 
1/3/2016ATLW 111 - 97Y0.61NYK24:0316011503.700101.00025428.8 
1/1/2016@ CHIL 81 - 108Y-0.50NYK21:35406202.4005.00002414.8 
12/29/2015DETW 108 - 96Y0.77NYK36:221107216.6258.50023516.3 
12/27/2015@ BOSL 91 - 100Y-0.47NYK29:33806201.42971.00022214.0 
12/26/2015@ ATLL 98 - 117Y0.08NYK20:09904201.80051.00010011.7 
12/23/2015@ CLEL 84 - 91Y-0.09NYK19:37805013.4449.00002126.5 
12/21/2015ORLL 99 - 107Y0.78NYK34:2712082021.0006.0000008.6 
12/19/2015CHIW 107 - 91Y-0.70NYK18:31803000.60051.00022119.0 
12/18/2015@ PHIW 107 - 97Y-0.11NYK16:18806001.6676.00000315.9 
12/16/2015MINW 107 - 102Y-0.91NYK18:12602101.3758.00010520.0 
12/12/2015@ PORW 112 - 110Y0.28NYK28:431407100.71471.00040314.7 
12/10/2015@ SACL 97 - 99Y-0.72NYK19:58607100.40051.00022416.5 
12/9/2015@ UTAL 85 - 106Y-1.19NYK18:45200001.5002.0002027.2 
12/7/2015DALL 97 - 104Y-0.40NYK15:41602101.6005.00000314.9 
12/5/2015@ MILL 91 - 106Y-1.05NYK20:40501101.6673.50023115.3 
12/4/2015BKNW 108 - 91Y0.07NYK30:18705303.50061.00011010.9 
12/2/2015PHIW 99 - 87Y-0.53NYK22:05605301.5006.00002214.9 
11/29/2015HOUL 111 - 116Y-0.81NYK14:33003201.0001.0000136.5 
11/27/2015MIAL 78 - 97Y-1.24NYK13:42204100.1676.00001523.5 
11/25/2015@ ORLL 91 - 100Y0.31NYK23:258012302.5008.00000115.7 
11/23/2015@ MIAL 78 - 95Y-1.03NYK29:301208100.41712.50042223.0 
11/21/2015@ HOUW 107 - 102Y-0.54NYK24:53806200.6005.66731313.1 
11/20/2015@ OKCW 93 - 90Y-0.45NYK32:56707203.33331.00056416.0 
11/17/2015CHAW 102 - 94Y-0.76NYK17:45407110.25041.00023319.3 
11/15/2015NORW 95 - 87Y-0.28NYK14:00005312.0003.0000019.8 
11/13/2015CLEL 84 - 90Y-0.93NYK24:43405100.20051.00021212.8 
11/11/2015@ CHAL 93 - 95Y-0.61NYK30:56009211.0003.0000217.2 
11/10/2015@ TORW 111 - 109Y0.93NYK29:001208214.54511.00000616.1 
11/8/2015LALW 99 - 95Y0.44NYK31:0014013401.55691.00042318.6 
11/6/2015MILL 92 - 99Y-0.22NYK22:141202001.6679.00001319.6 
11/4/2015@ CLEL 86 - 96Y-1.25NYK28:19604200.3339.00003319.9 
11/2/2015SASL 84 - 94Y-0.36NYK32:101005410.41712.00001217.8 
10/31/2015@ WASW 117 - 110Y-0.56NYK30:55808302.300101.00023418.0 
10/29/2015ATLL 101 - 112Y-0.14NYK21:171804101.727111.00025031.2 
10/28/2015@ MILW 122 - 97Y-0.37NYK19:52802002.60051.00022315.8