Courtney Lee - NYK - G

 Open Historical Profile
TeamNYK
Age31
Draft2008 (Pick 22)
NBA Salary$11,242,000
Projection Updated4/10/2017
85.5d
tmfaherty89
100% (2) agree 
Lee (UP) or Jason Terry (DOWN) today? Exclusively need FG%, BLK, and 3's.
94.2d
joshlloyd48
Who knows with the Knicks. They are excruciatingly frustrating
94.2d
javiers
16 minutes in the first half. Maybe he still plays 30+ in games that are not blow outs?
95.3d
joshlloyd48
The Knicks are going to be reducing the minutes of their veterans and we already Lee play under 22 minutes last gane, Expect more of the same
96.2d
kchung4388
0% (2) agree 
Should I be holding him? He seems to be trending down but his per game value seems like must own.
100.6d
kchung4388
25% (4) agree 
Would you guys consider him a must own player with 4 games each for the next couple weeks?
117.1d
spellkevin
100% (3) agree 
12-team H2H 9-cat ROS. Marcus Smart (Up) or Courtney Lee (Down)? Thanks, guys.
150.1d
markalbert2kx
100% (2) agree 
Good showings. Anything to see here?
206.2d
Bobbywood
100% (1) agree 
How bad was his injury?
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
76-0.06Projection 16-17NYKSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
94-0.15NBA 16-17NYK7731.910.81.43.42.31.10.3.4559.2.8671.30.914.6-0.690.10-0.87-0.330.11-0.69-0.260.260.99
90-0.06Last WeekNYK427.712.31.53.02.31.80.0.46510.8.6001.30.819.1-0.450.21-1.01-0.371.90-1.23-0.10-0.631.16
790.00Last 2 WeeksNYK729.914.11.33.32.61.60.0.46311.4.8892.61.320.5-0.12-0.03-0.91-0.221.44-1.23-0.160.680.54
98-0.16Last MonthNYK1531.711.30.93.32.91.30.2.44010.0.9231.71.317.1-0.60-0.41-0.89-0.090.83-0.85-0.550.620.49
73-0.04Last 2 MonthsNYK2733.512.11.33.72.91.40.2.45610.1.8961.81.216.1-0.47-0.06-0.75-0.080.93-0.81-0.260.500.62
81-0.07Last 3 MonthsNYK4332.811.61.33.82.71.20.3.4609.7.8751.51.015.2-0.560.04-0.71-0.160.45-0.70-0.170.340.90
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
122-0.24NBA 15-16CHA7929.69.61.02.61.71.10.4.4548.1.8391.50.915.0-0.89-0.06-1.28-0.600.13-0.58-0.170.241.09
129-0.24NBA 14-15MEM7730.610.11.22.32.01.00.2.4478.4.8601.71.015.2-0.860.19-1.30-0.46-0.06-0.87-0.230.391.01
143-0.25NBA 13-14MEM7925.09.60.92.41.50.80.4.4807.8.8841.40.917.4-1.01-0.19-1.22-0.76-0.44-0.510.180.411.25
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
86-0.13Projection 16-17NYKSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
150-0.20NBA 16-17NYK7731.912.21.63.82.61.20.3.45510.3.8671.41.014.6-1.080.05-0.89-0.42-0.13-0.70-0.270.361.25
109-0.02Last WeekNYK427.715.92.03.92.92.30.0.46514.0.6001.61.019.1-0.360.38-0.87-0.291.41-1.03-0.18-0.561.29
100-0.02Last 2 WeeksNYK729.917.01.54.03.11.90.0.46313.8.8893.11.520.5-0.150.02-0.85-0.220.87-1.03-0.220.720.64
170-0.22Last MonthNYK1531.712.91.13.83.31.50.2.44011.4.9232.01.517.1-0.95-0.41-0.89-0.150.34-0.80-0.480.670.68
135-0.16Last 2 MonthsNYK2733.513.01.44.03.11.50.2.45610.9.8961.91.316.1-0.92-0.15-0.85-0.220.28-0.79-0.260.540.90
136-0.16Last 3 MonthsNYK4332.812.71.54.23.01.30.3.46010.6.8751.61.115.2-0.98-0.04-0.81-0.280.04-0.72-0.210.411.18
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
198-0.28NBA 15-16CHA7929.611.71.33.22.11.30.4.4549.9.8391.81.115.0-1.200.04-1.41-0.480.02-0.66-0.270.421.06
214-0.30NBA 14-15MEM7730.611.91.42.72.31.10.2.4479.8.8602.01.215.2-1.260.06-1.33-0.47-0.22-0.62-0.220.341.05
114-0.14NBA 13-14MEM7925.013.91.33.42.11.20.5.48011.2.8842.01.317.4-0.670.02-1.18-0.54-0.09-0.540.070.651.02
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
76-0.06Projection 16-17NYKSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
75-0.09NBA 16-17NYK772459:258351082601798122.455706.867986914.6-0.520.21-0.73-0.260.30-0.63-0.270.270.85
63-0.04Last WeekNYK4110:4449612970.46543.6005319.1-0.060.33-0.64-0.201.55-0.92-0.34-0.700.59
62-0.01Last 2 WeeksNYK7209:169992318110.46380.88918920.50.060.01-0.69-0.171.32-1.08-0.300.560.18
87-0.13Last MonthNYK15475:31170145043203.440150.923262017.1-0.48-0.35-0.75-0.090.80-0.80-0.520.620.36
580.02Last 2 MonthsNYK27903:153273410078376.456274.896483316.1-0.290.07-0.62-0.041.06-0.78-0.300.540.51
550.04Last 3 MonthsNYK431409:46498581631165112.460417.875644215.2-0.290.20-0.51-0.070.79-0.63-0.220.360.70
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
100-0.16NBA 15-16CHA792334:28761822051368628.454639.8391187215.0-0.650.01-1.15-0.520.34-0.51-0.150.250.95
94-0.17NBA 14-15MEM772354:28777901781517512.447644.8601297815.2-0.630.27-1.10-0.390.10-0.81-0.250.430.88
108-0.18NBA 13-14MEM791972:59761721861156528.480614.8841127317.4-0.80-0.07-1.14-0.71-0.30-0.450.220.461.18

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017PHIW 114 - 113Y-1.11NYK19:59810000.4005.60050115.1 
4/9/2017TORL 97 - 110Y-0.33NYK32:011421310.46213.00002322.6 
4/7/2017@ MEML 88 - 101Y0.25NYK27:341623310.53813.00000021.3 
4/6/2017WASL 103 - 106Y0.95NYK31:101118350.41712.00001017.2 
4/4/2017CHIW 100 - 91Y-0.51NYK33:091404300.500121.00022519.4 
4/2/2017BOSL 94 - 110Y0.30NYK30:191613510.500101.00051019.7 
3/31/2017@ MIAW 98 - 94Y0.44NYK35:042024130.400151.00063027.9 
3/29/2017MIAL 88 - 105Y0.21NYK30:481012121.44491.00010112.7 
3/27/2017DETW 109 - 95Y0.23NYK32:57717321.5006.00002311.3 
3/25/2017@ SASL 98 - 106Y-0.28NYK40:27608721.27311.00003115.3 
3/23/2017@ PORL 95 - 110Y-0.14NYK40:331601410.500121.00042217.1 
3/22/2017@ UTAL 101 - 108Y0.00NYK35:151220310.6258.00001412.4 
3/20/2017@ LACL 105 - 114Y-1.18NYK21:56202200.1676.00000111.8 
3/16/2017BKNL 110 - 121Y-0.47NYK35:151300200.55691.00031214.6 
3/14/2017INDW 87 - 81Y-0.79NYK29:04517310.2229.00002117.6 
3/12/2017@ BKNL 112 - 120Y-0.07NYK38:381522110.50010.75040312.4 
3/11/2017@ DETL 92 - 112Y0.02NYK34:471327510.5569.50022215.5 
3/8/2017@ MILL 93 - 104Y-0.23NYK36:381227500.333121.00020115.9 
3/6/2017@ ORLW 113 - 105Y-0.08NYK40:552003210.375161.00081422.3 
3/5/2017GSWL 105 - 112Y-0.11NYK28:47510130.4005.0000149.1 
3/3/2017@ PHIL 102 - 105Y0.42NYK37:181625320.462131.00021317.5 
3/1/2017@ ORLW 101 - 90Y-0.38NYK35:24514211.4005.0000219.1 
2/27/2017TORL 91 - 92Y1.59NYK40:511633352.60010.50022115.2 
2/25/2017PHIW 110 - 109Y-0.53NYK24:07514210.2867.00000112.4 
2/23/2017@ CLEL 104 - 119Y1.19NYK36:242536510.667151.00021118.7 
2/15/2017@ OKCL 105 - 116Y-0.22NYK39:131624100.53813.00001216.1 
2/12/2017SASW 94 - 90Y-0.30NYK34:42915510.4449.00002115.5 
2/10/2017DENL 123 - 131Y0.52NYK31:021533420.60010.00002517.5 
2/8/2017LACL 115 - 119Y-0.30NYK32:03401610.5004.0000005.3 
2/6/2017LALL 107 - 121Y-0.43NYK25:11823100.5006.00000210.3 
2/4/2017CLEL 104 - 111Y-0.32NYK30:211734001.63611.00022120.3 
2/1/2017@ BKNW 95 - 90Y-0.29NYK27:54704220.4297.50020210.8 
1/31/2017@ WASL 101 - 117Y-1.23NYK27:19515100.20010.00001016.3 
1/29/2017@ ATLL 139 - 142Y0.60NYK52:171739221.375161.00021515.3 
1/27/2017CHAW 110 - 107Y1.05NYK35:181623431.58312.00001115.9 
1/25/2017@ DALL 95 - 103Y0.80NYK38:182326101.692131.00031216.8 
1/23/2017@ INDW 109 - 103Y0.24NYK25:201414110.42971.00070218.2 
1/21/2017PHOL 105 - 107Y0.26NYK37:131334301.5569.00000310.7 
1/19/2017WASL 110 - 113-0.43NYK29:08514210.3336.0000028.9 
1/18/2017@ BOSW 117 - 1060.20NYK38:06918701.5008.0000028.8 
1/16/2017ATLL 107 - 108-0.83NYK20:52712100.4297.00001016.2 
1/15/2017@ TORL 101 - 116Y-0.66NYK25:13511020.2229.00000115.4 
1/12/2017CHIW 104 - 89Y-0.84NYK30:56602300.3758.00000011.4 
1/11/2017@ PHIL 97 - 98Y-0.74NYK27:29702400.42971.00011214.2 
1/9/2017NORL 96 - 110Y-1.04NYK27:30512100.2508.00000112.8 
1/7/2017@ INDL 109 - 123Y-0.21NYK27:42914120.33391.00021116.2 
1/6/2017@ MILW 116 - 111Y0.10NYK34:501122311.6005.7504109.6 
1/4/2017MILL 104 - 105Y0.22NYK37:561132311.4449.00000110.1 
1/2/2017ORLL 103 - 115Y-0.26NYK33:501413010.545111.00012216.8 
12/31/2016@ HOUL 122 - 129NYK               
12/30/2016@ NORL 92 - 104NYK               
12/28/2016@ ATLL 98 - 102NYK               
12/25/2016BOSL 114 - 119Y-0.47NYK34:201123001.4449.50020312.0 
12/22/2016ORLW 106 - 95Y0.34NYK28:401023321.5717.00002112.6 
12/20/2016INDW 118 - 111Y-0.54NYK36:39714110.28671.00021110.3 
12/17/2016@ DENL 114 - 127Y-0.80NYK35:461022100.33312.00000614.6 
12/15/2016@ GSWL 90 - 103Y-0.74NYK32:33904301.36411.50020115.2 
12/13/2016@ PHOL 111 - 113Y0.68NYK29:051422220.7508.00000311.4 
12/11/2016@ LALW 118 - 112Y0.52NYK34:491630110.66761.00050210.4 
12/9/2016@ SACW 103 - 100Y-0.71NYK33:00824100.4297.0001029.7 
12/7/2016CLEL 94 - 126Y0.58NYK31:241532520.500101.00021216.9 
12/6/2016@ MIAW 114 - 103Y-0.60NYK29:44917100.5008.00002113.7 
12/4/2016SACW 106 - 98NYK               
12/2/2016MINW 118 - 114NYK               
11/30/2016@ MINW 106 - 104Y-0.26NYK7:537113001.0003.00000116.1
Will not return
Lee will not return Wednesday at MIN.
11/28/2016OKCL 103 - 112Y0.38NYK36:211333120.50010.00000212.3 
11/26/2016@ CHAL 102 - 107Y0.11NYK30:221442300.5569.00000412.4 
11/25/2016CHAW 113 - 111Y0.05NYK37:401222220.400101.00021213.9 
11/22/2016PORW 107 - 103Y-0.55NYK26:32504311.25081.00011115.0 
11/20/2016ATLW 104 - 94Y0.23NYK38:071425520.46213.00002317.4 
11/17/2016@ WASL 112 - 119Y-1.28NYK23:11403000.2229.00000116.9 
11/16/2016DETW 105 - 102Y-0.38NYK28:34514330.16712.00000118.1 
11/14/2016DALW 93 - 77Y-0.50NYK32:05712210.4297.00001111.6 
11/12/2016@ TORL 107 - 118Y-0.37NYK33:461025101.5717.00003411.8 
11/11/2016@ BOSL 87 - 115Y-1.16NYK21:48101101.00041.0001139.3 
11/9/2016BKNW 110 - 96Y-0.60NYK31:021303100.50010.75040016.0 
11/6/2016UTAL 109 - 114Y0.22NYK36:271026030.37581.00022313.8 
11/4/2016@ CHIW 117 - 104Y0.36NYK40:351712400.80010.00000311.3 
11/2/2016HOUL 99 - 118Y0.49NYK27:551620121.58312.00001320.1 
11/1/2016@ DETL 89 - 102Y-0.91NYK28:50712200.4297.00002214.3 
10/29/2016MEMW 111 - 104Y0.27NYK33:371623110.545111.00020115.9 
10/25/2016@ CLEL 88 - 117Y-1.43NYK19:37003001.0005.00002114.8 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016ORLW 117 - 103Y-0.32CHA14:08711220.3339.00000029.6 
4/11/2016@ BOSW 114 - 100Y-0.84CHA32:44513200.3336.0000129.7 
4/10/2016@ WASL 98 - 113Y-0.42CHA28:26823021.182111.00021319.9 
4/8/2016BKNW 113 - 99Y-0.19CHA24:22602210.7504.0000027.6 
4/6/2016@ NYKW 111 - 97Y-0.17CHA35:51405601.5004.0000005.1 
4/5/2016@ TORL 90 - 96Y-0.44CHA36:151102211.45511.50021516.4 
4/3/2016@ CLEL 103 - 112Y0.29CHA37:561111331.38513.00000216.0 
4/1/2016PHIW 100 - 91Y-0.56CHA36:15405220.14371.00021311.1 
3/29/2016@ PHIW 100 - 85Y0.63CHA36:571526321.600101.00013115.7 
3/26/2016@ MILW 115 - 91Y0.30CHA34:441224501.5569.00000113.3 
3/25/2016@ DETL 105 - 112Y-0.33CHA27:34821110.5006.00001111.0 
3/22/2016@ BKNW 105 - 100Y0.36CHA27:19715330.4297.00000212.5 
3/21/2016SASW 91 - 88Y0.98CHA33:031712240.61513.00001118.5 
3/19/2016DENL 93 - 101Y-0.24CHA28:44714312.30010.00001217.7 
3/17/2016@ MIAW 109 - 106Y-0.29CHA37:041323100.5006.83361411.9 
3/16/2016ORLW 107 - 99Y-0.94CHA27:49611501.22291.00012216.7 
3/14/2016DALL 96 - 107Y0.29CHA30:331223020.57171.00021113.0 
3/12/2016HOUW 125 - 109Y-0.19CHA25:471222100.5569.00000015.7 
3/11/2016DETW 118 - 103Y0.61CHA34:401506111.77891.00011413.5 
3/9/2016NORW 122 - 113Y0.50CHA29:051646110.50012.00000219.1 
3/7/2016MINW 108 - 103Y-1.08CHA27:04403200.2867.00001212.9 
3/4/2016INDW 108 - 101Y-0.94CHA34:22412101.2504.5002118.3 
3/2/2016@ PHIW 119 - 99Y-0.24CHA28:30913310.40051.00042414.0 
3/1/2016PHOW 126 - 92Y-0.38CHA23:39811210.60051.00012312.7 
2/28/2016@ ATLL 76 - 87Y-0.03CHA22:11913210.50061.00020115.3 
2/26/2016@ INDW 96 - 95Y-0.16CHA39:05714230.30010.00001112.8 
2/24/2016@ CLEL 103 - 114Y0.10CHA29:39805211.5717.00000211.0 
2/21/2016@ BKNW 104 - 96Y-0.79CHA21:25511100.5004.00001311.4 
2/19/2016MINW 109 - 104MEM               
2/10/2016@ BKNW 109 - 90Y-0.31MEM28:581000430.50010.00021319.0 
2/8/2016PORL 106 - 112Y-1.41MEM24:40312100.2504.00004115.4 
2/6/2016DALL 110 - 114Y0.19MEM28:301021411.6676.00010311.2 
2/5/2016@ NYKW 91 - 85Y-1.10MEM22:21310200.1676.00000113.6 
2/1/2016@ NORW 110 - 95Y-0.40MEM27:35711002.5006.00001112.9 
1/30/2016SACW 121 - 117Y0.74MEM33:4318311201.0005.83362112.6 
1/28/2016MILW 103 - 83Y-0.11MEM24:191320101.500101.00010220.9 
1/25/2016ORLW 108 - 102Y-0.20MEM34:141630201.50012.50021117.8 
1/23/2016@ MINL 101 - 106Y-0.05MEM24:17823010.6005.0000019.8 
1/21/2016@ DENW 102 - 101Y-0.11MEM35:131004010.66761.00021211.0 
1/18/2016NORW 101 - 99Y0.17MEM32:301624110.54511.66730218.6 
1/16/2016NYKW 103 - 95Y-0.15MEM25:40610211.66731.0001118.0 
1/14/2016DETW 103 - 101Y-1.23MEM28:49802200.1437.85772219.5 
1/12/2016HOUL 91 - 107Y-0.54MEM37:271633110.50012.33333220.8 
1/10/2016BOSW 101 - 98MEM               
1/8/2016DENW 91 - 84MEM               
1/6/2016@ OKCL 94 - 112Y-1.45MEM21:28002001.0006.00001114.7 
1/4/2016@ PORW 91 - 78Y0.77MEM36:401603320.66791.00040112.1 
1/2/2016@ UTAL 87 - 92Y0.70MEM41:201722230.5569.83361315.4 
12/29/2015MIAW 99 - 90Y-0.40MEM26:44914100.6005.66730011.7 
12/27/2015LALW 112 - 96Y0.39MEM24:001312310.71471.00020115.7 
12/26/2015@ CHAL 92 - 98Y-0.47MEM27:13512111.4005.0001028.5 
12/23/2015@ WASL 91 - 100Y-0.21MEM26:31811120.5006.50020112.8 
12/22/2015@ PHIW 104 - 90Y0.11MEM34:081501220.500121.00031118.9 
12/19/2015INDW 96 - 84Y-1.38MEM30:29204001.1676.00003113.8 
12/18/2015@ DALL 88 - 97Y-0.81MEM28:47810210.25081.00032118.3 
12/16/2015@ CHIL 85 - 98Y1.24MEM36:401827620.72711.00001214.8 
12/14/2015WASW 112 - 95Y0.01MEM38:371533000.54511.00000313.3 
12/13/2015@ MIAL 97 - 100Y0.54MEM38:27911240.5008.00000410.4 
12/11/2015CHAL 99 - 123-0.28MEM25:441222100.44491.00020116.8 
12/9/2015@ DETW 93 - 92-0.13MEM29:041412100.66791.00011215.6 
12/8/2015OKCL 88 - 125-0.86MEM29:49912011.30813.00002122.5 
12/6/2015PHOW 95 - 930.45MEM28:291824601.583121.00022022.4 
12/3/2015SASL 83 - 103-1.12MEM31:18601200.3339.00001015.2 
12/1/2015@ NORW 113 - 104-0.22MEM33:391304110.500121.00011317.7 
11/29/2015PHIW 92 - 84-1.06MEM16:33301110.50021.00014015.3 
11/27/2015ATLL 101 - 1160.06MEM25:311424100.60010.00000017.9 
11/25/2015@ HOUW 102 - 930.18MEM26:431701220.57114.50020324.7 
11/24/2015DALW 110 - 96-1.41MEM17:55002000.0005.00000112.0 
11/21/2015@ SASL 82 - 92-0.09MEM34:301511020.500101.00043221.1 
11/20/2015HOUW 96 - 84-0.52MEM31:59604111.4297.00002312.9 
11/16/2015OKCW 122 - 114-0.36MEM17:16601210.66731.00021112.3 
11/15/2015@ MINW 114 - 106-0.06MEM28:12716011.4297.00000212.1 
11/13/2015PORW 101 - 100Y-0.83MEM25:53712100.25081.00020015.2 
11/11/2015GSWL 84 - 100Y-0.15MEM31:44306132.14371.00012113.3 
11/9/2015@ LACL 92 - 94Y0.06MEM29:30602530.33361.00021511.8 
11/7/2015@ UTAL 79 - 89Y-0.92MEM26:44615200.200101.00010216.8 
11/5/2015@ PORL 96 - 115Y0.35MEM30:061832010.60010.75040019.6 
11/3/2015@ SACW 103 - 89Y-0.23MEM30:331405110.500121.00022420.8 
11/2/2015@ GSWL 69 - 119Y-1.23MEM24:37603010.18211.66730320.3 
10/31/2015BKNW 101 - 91Y0.24MEM33:381511120.44491.00061017.6 
10/29/2015@ INDW 112 - 103Y-0.44MEM29:141002110.44491.00021116.6 
10/28/2015CLEL 76 - 106Y-0.17MEM31:16712221.22291.00020014.3