Rudy Gay - SAS - F

NEW ARTICLE - Week 6 Schedule Analysis

TeamSAS
Age31.3
Draft2006 (Pick 8)
NBA Salary$8,406,000
Projection Updated11/18/2017
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
115-0.21NBA 17-18SAS1622.311.80.85.31.61.00.6.4589.7.8142.71.625.1-0.47-0.74-0.09-0.660.02-0.13-0.170.060.28
312-0.90Last WeekSAS318.66.70.05.01.30.30.7.3487.7.6672.02.327.9-1.39-1.54-0.20-0.77-1.420.05-1.35-0.95-0.48
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
320.23NBA 16-17SAC3033.818.71.46.32.71.50.9.45514.7.8554.62.525.20.660.100.24-0.151.260.40-0.420.81-0.81
460.11NBA 15-16SAC7034.017.21.16.51.71.40.7.46314.4.7803.62.022.70.58-0.040.34-0.610.920.07-0.070.05-0.23
250.22NBA 14-15SAC6835.421.11.25.93.71.00.6.45516.4.8585.82.726.61.500.180.090.360.10-0.12-0.241.31-1.24
500.07NBA 13-14SAC7334.720.00.96.02.91.30.8.45516.2.8225.33.127.51.14-0.210.15-0.110.650.24-0.310.66-1.58
78-0.07NBA Preseason 17SAS421.110.51.35.02.30.80.0.5007.5.8752.01.320.3-0.370.070.26-0.11-0.36-0.930.130.380.26
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
68-0.10NBA 17-18SAS1622.319.11.28.62.51.60.9.45815.7.8144.32.625.10.12-0.450.14-0.360.36-0.16-0.240.07-0.41
245-0.73Last WeekSAS318.612.90.09.72.60.61.3.34814.9.6673.94.527.9-0.92-1.330.39-0.34-0.760.14-1.25-0.58-1.98
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
55-0.03NBA 16-17SAC3033.820.01.56.72.91.60.9.45515.7.8554.92.625.20.39-0.06-0.20-0.310.32-0.09-0.340.63-0.59
87-0.10NBA 15-16SAC7034.018.21.16.91.81.50.8.46315.2.7803.82.122.70.23-0.08-0.25-0.600.24-0.32-0.200.12-0.02
53-0.02NBA 14-15SAC6835.421.41.26.03.71.10.6.45516.7.8585.92.726.60.94-0.11-0.360.13-0.37-0.30-0.210.94-0.83
101-0.11NBA 13-14SAC7334.720.70.96.23.01.40.8.45516.8.8225.53.227.50.95-0.31-0.29-0.140.15-0.18-0.470.70-1.41
91-0.15NBA Preseason 17SAS421.117.92.18.53.81.30.0.50012.8.8753.42.120.3-0.16-0.060.00-0.19-0.35-0.56-0.06-0.060.05
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
96-0.13NBA 17-18SAS16356.3189128525169.458155.814432625.1-0.29-0.640.06-0.580.18-0.07-0.140.140.15
279-0.72Last WeekSAS355.720015412.34823.6676727.9-1.21-1.26-0.22-0.77-0.960.00-0.91-0.64-0.50
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
200-0.48NBA 16-17SAC301,012.956242189824526.455442.8551387425.2-1.13-0.77-1.07-0.84-0.92-0.52-0.170.320.78
500.07NBA 15-16SAC702,378.81,2047445512010051.4631,007.78025413922.70.46-0.100.22-0.620.770.040.000.03-0.15
390.18NBA 14-15SAC682,408.31,432793992507141.4551,116.85839318326.61.360.090.020.26-0.02-0.13-0.181.25-1.05
470.07NBA 13-14SAC732,530.81,457654372099556.4551,179.82238722427.51.07-0.170.10-0.090.650.23-0.310.70-1.57
77-0.08NBA Preseason 17SAS484.542520930.50030.8758520.3-0.400.020.14-0.16-0.44-1.030.190.470.48

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
11/17/2017OKCW 104 - 101-0.82SAS17.6904101.5008.50022228.5 
11/15/2017@ MINL 86 - 98-0.93SAS22.0705110.3758.50022323.5 
11/14/2017@ DALW 97 - 91-0.94SAS16.1406201.14371.00023331.7 
11/11/2017CHIW 133 - 940.09SAS18.31515000.71471.00041124.5 
11/10/2017MILL 87 - 94-0.76SAS26.9607020.25012.00002224.1 
11/7/2017LACW 120 - 1071.19SAS23.72247320.615131.00021328.2 
11/5/2017PHOW 112 - 95-0.13SAS23.11205110.455111.00020223.4 
11/3/2017CHAW 108 - 1010.59SAS27.12017320.533151.00032329.4 
11/2/2017GSWL 92 - 112-0.64SAS18.1917101.300101.00023231.7 
10/30/2017@ BOSL 94 - 108-0.11SAS21.11423001.417121.00020227.7 
10/29/2017@ INDL 94 - 97-0.27SAS23.81016220.3758.75042120.4 
10/27/2017@ ORLL 87 - 114-0.20SAS23.9207404.1676.00002213.5 
10/25/2017@ MIAW 117 - 1000.45SAS26.52213420.7508.818113028.5 
10/23/2017TORW 101 - 97-0.04SAS21.91115011.6258.00002318.1 
10/21/2017@ CHIW 87 - 77-1.12SAS22.51203120.46213.00031228.9 
10/18/2017MINW 107 - 990.26SAS23.71405210.55691.00040319.9 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017@ LACL 95 - 115SAC               
4/11/2017PHOW 129 - 104SAC               
4/9/2017HOUL 128 - 135SAC               
4/7/2017@ LALL 94 - 98SAC               
4/4/2017DALW 98 - 87SAC               
4/1/2017@ MINW 123 - 117SAC               
3/31/2017@ NORL 89 - 117SAC               
3/29/2017UTAL 82 - 112SAC               
3/27/2017MEMW 91 - 90SAC               
3/26/2017@ LACW 98 - 97SAC               
3/24/2017@ GSWL 100 - 114SAC               
3/22/2017MILL 98 - 116SAC               
3/19/2017@ SASL 102 - 118SAC               
3/18/2017@ OKCL 94 - 110SAC               
3/15/2017@ PHOW 107 - 101SAC               
3/13/2017ORLW 120 - 115SAC               
3/11/2017DENL 92 - 105SAC               
3/10/2017WASL 122 - 130SAC               
3/8/2017@ SASL 104 - 114SAC               
3/6/2017@ DENL 96 - 108SAC               
3/5/2017UTAL 109 - 110SAC               
3/1/2017BKNL 100 - 109SAC               
2/27/2017MINL 88 - 102SAC               
2/25/2017CHAL 85 - 99SAC               
2/23/2017DENW 116 - 100SAC               
2/15/2017@ GSWL 86 - 109SAC               
2/14/2017@ LALW 97 - 96SAC               
2/12/2017NORW 105 - 99SAC               
2/10/2017ATLW 108 - 107SAC               
2/8/2017BOSW 108 - 92SAC               
2/6/2017CHIL 107 - 112SAC               
2/4/2017GSWW 109 - 106SAC               
2/3/2017PHOL 103 - 105SAC               
1/31/2017@ HOUL 83 - 105SAC               
1/30/2017@ PHIL 119 - 122SAC               
1/28/2017@ CHAW 109 - 106SAC               
1/27/2017@ INDL 111 - 115SAC               
1/25/2017@ CLEW 116 - 112SAC               
1/23/2017@ DETW 109 - 104SAC               
1/21/2017@ CHIL 99 - 102SAC               
1/20/2017@ MEML 91 - 107SAC               
1/18/2017INDL 100 - 106Y0.80SAC28.32134021.615131.00023327.5 
1/15/2017OKCL 118 - 122Y0.52SAC36.522210222.33318.88993427.6 
1/13/2017CLEL 108 - 120Y1.17SAC35.223310204.57114.80052522.9 
1/10/2017DETW 100 - 94Y-0.23SAC37.91117431.273111.00047524.0 
1/8/2017GSWL 106 - 117Y0.47SAC35.52321322.52917.75044329.3 
1/6/2017LACL 98 - 106Y-0.24SAC33.31817100.412171.00030025.7 
1/4/2017MIAL 102 - 107SAC               
1/3/2017@ DENW 120 - 113SAC               
12/31/2016MEML 98 - 112SAC               
12/28/2016@ PORL 89 - 102SAC               
12/26/2016PHIW 102 - 100Y-0.39SAC35.51719201.438161.00024124.2 
12/23/2016@ MINW 109 - 105SAC               
12/21/2016@ UTAW 94 - 93SAC               
12/20/2016PORW 126 - 121SAC               
12/18/2016@ DALL 79 - 99SAC               
12/16/2016@ MEMW 96 - 92SAC               
12/14/2016@ HOUL 98 - 132SAC               
12/12/2016LALW 116 - 92Y0.21SAC14.0705221.33361.00030021.8 
12/10/2016@ UTAL 84 - 104Y0.41SAC32.82035220.46715.75041224.5 
12/9/2016NYKL 100 - 103Y-0.78SAC34.71305110.26715.83360522.8 
12/7/2016@ DALW 120 - 89Y1.07SAC30.91913440.571141.00022124.4 
12/4/2016@ NYKL 98 - 106Y0.76SAC34.62229430.389181.00063326.9 
12/2/2016@ BOSL 92 - 97Y-0.78SAC34.91318310.42914.00006324.3 
11/28/2016@ WASL 95 - 101Y-0.17SAC38.21815221.438161.00036526.1 
11/27/2016@ BKNW 122 - 105Y0.87SAC31.62238811.53315.75042125.5 
11/25/2016HOUL 104 - 117Y0.12SAC36.91004330.333121.00020116.1 
11/23/2016OKCW 116 - 101Y-0.11SAC33.61739400.400151.00022322.5 
11/20/2016TORW 102 - 99Y1.34SAC36.32319413.692131.00044323.4 
11/18/2016LACL 115 - 121Y-1.01SAC33.2903320.27311.75044521.0 
11/16/2016SASL 105 - 110Y-0.66SAC32.31113301.273111.00042120.8 
11/11/2016@ PORL 120 - 122Y0.95SAC42.929214321.50018.900106229.8 
11/10/2016LALL 91 - 101Y0.01SAC32.61508120.46213.75041121.2 
11/8/2016NORW 102 - 94Y1.15SAC32.52126621.438161.00050127.4 
11/6/2016@ TORW 96 - 91Y-0.10SAC35.42325110.47419.75042330.4 
11/5/2016@ MILL 91 - 117SAC               
11/3/2016@ ORLL 94 - 102Y-1.00SAC31.81622210.46213.40053326.8 
11/1/2016@ MIAL 96 - 108Y0.68SAC42.230212110.458241.00062231.2 
10/31/2016@ ATLL 95 - 106Y0.42SAC31.12213520.61513.71472527.5 
10/29/2016MINW 106 - 103Y0.49SAC33.22805212.55020.75082334.1 
10/27/2016SASL 94 - 102Y0.06SAC32.41717220.30010.833121423.8 
10/26/2016@ PHOW 113 - 94Y0.92SAC33.22213204.60015.75040122.0