Patty Mills - SAS - G

 Open Historical Profile
TeamSAS
Ease PositionPG
Age28
Draft2009 (Pick 55)
NBA Salary$3,200,000
Projection Updated12/9/2016
11/21/2016 7:27 PM Open link
Not Starting Not Starting Monday vs DAL
Mills is will come off the bench Monday, updating an earlier item.
11/21/2016 6:42 PM Open link
Starting Starting Monday vs DAL
Mills is starting Monday vs DAL.
11/4/2016 12:27 PM Open link
Starting Starting Friday @UTA
Mills is starting Friday at UTA with Tony Parker (knee) out.
10/29/2016 5:23 PM Open link
Starting Starting Saturday vs NOR
Mills is starting Saturday vs NOR.
2.7d
joshlloyd48
100% (2) agree 
I would not. I would keep Deron
2.7d
stevenomes
0% (2) agree 
Drop deron Williams for him? I'm looking to replace lord Payton who I just parted ways with. Deron helping a lot in assist as stream option.
2.7d
joshlloyd48
He comes off the bench when Mills is out and they start Laprovittola, but Mills gets high 20s in minutes. His shooting has been crazy this season but fell off last game, but for sure he is worth a grab with Parker missing potentially more games
2.7d
stevenomes
Wondering this too, I think they just mention he's coming off bench tonight. Maybe see how it goes and if he starts to blow up add during the game
3.6d
funtasy
50% (2) agree 
worth owning in 12 team league? with tony's healthy on balance
4.5d
action781
0% (10) agree 
Would Patty be a top 50 player if Tony Parker were to get injured? Up for yes, down for no
5.8d
kylemckeown16
LowKey -- Patty has had some pretty great shooting seasons in the past, but he will likely regress quite a bit in his FG%. Can he hold top-100 value with just a 24-minute role all season? I think it's more important to evaluate if the stats he's good at will stay good enough to continue rostering him over someone off the wire. In a general sense, I'm reluctant to roster Patty in standard leagues because his ceiling is limited by his role, but he's worth using now, especially in Rotisserie leagues for his percentages.
6.0d
Lowkey
Shooting at a great percentage this year? But if a bump? It should regress though right? Can he hold top 100 value though?
31.6d
brezzab
100% (1) agree 
If TP9 goes down for an extended period, what would Patty Mills' value be?
44.4d
#19032
100% (1) agree 
Would anyone take Mills over Seth Curry or Tyler Johnson?
44.4d
#19032
Would anyone take Mills over Seth Curry or Tyler Johnson?
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gpV3VrVaVsVbVfg%Vft%VtoV
147-0.31Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gpV3VrVaVsVbVfg%Vft%VtoV
91-0.13NBA 16-17SAS2323.711.42.02.13.60.70.0.4878.2.9411.51.3-0.540.79-1.290.29-0.73-1.120.350.560.52
136-0.26Last WeekSAS424.810.52.02.84.81.00.0.38110.5.6670.81.0-0.690.79-1.060.80-0.07-1.12-1.63-0.260.86
79-0.01Last 2 WeeksSAS823.913.02.42.53.80.90.0.5009.3.9171.51.6-0.271.20-1.160.35-0.34-1.120.620.470.15
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gpV3VrVaVsVbVfg%Vft%VtoV
192-0.39NBA 15-16SAS8120.58.51.52.02.80.70.1.4257.6.8100.70.9-1.110.46-1.55-0.12-0.70-1.06-0.580.071.06
288-0.56NBA 14-15SAS5115.76.91.21.51.70.50.0.3816.6.8250.80.7-1.550.25-1.64-0.58-1.05-1.07-0.970.111.45
116-0.19NBA 13-14SAS8118.910.21.72.11.80.80.1.4648.2.8901.00.8-0.890.70-1.32-0.58-0.41-0.95-0.040.311.46
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gpV3VrVaVsVbVfg%Vft%VtoV
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36pV3VrVaVsVbVfg%Vft%VtoV
101-0.14Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36pV3VrVaVsVbVfg%Vft%VtoV
400.04NBA 16-17SAS2323.717.33.03.25.51.10.0.48712.5.9412.22.0-0.071.05-0.950.90-0.31-1.060.160.630.05
88-0.09Last WeekSAS424.815.32.94.06.91.50.0.38115.3.6671.11.5-0.440.95-0.791.510.00-1.06-1.27-0.240.51
340.14Last 2 WeeksSAS823.919.63.63.85.71.30.0.50013.9.9172.32.40.331.47-0.840.97-0.10-1.060.350.53-0.36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36pV3VrVaVsVbVfg%Vft%VtoV
89-0.10NBA 15-16SAS8120.514.92.73.44.91.30.1.42513.3.8101.31.6-0.491.20-1.330.69-0.04-0.96-0.740.290.48
98-0.13NBA 14-15SAS5115.715.82.83.43.91.30.1.38115.1.8251.81.6-0.361.30-1.130.20-0.01-0.69-1.220.180.58
140.25NBA 13-14SAS8118.919.53.24.03.51.60.2.46415.7.8901.91.50.651.59-0.980.110.51-0.92-0.250.650.85
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36pV3VrVaVsVbVfg%Vft%VtoV
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatopV3VrVaVsVbVfg%Vft%VtoV
122-0.24Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatopV3VrVaVsVbVfg%Vft%VtoV
59-0.02NBA 16-17SAS23544:44262464983160.487189.9413430-0.311.06-1.180.49-0.49-1.120.350.620.34
88-0.13Last WeekSAS499:01428111940.38142.66734-0.470.78-0.790.980.09-0.89-1.19-0.190.54
500.07Last 2 WeeksSAS8191:0210419203070.50074.91712130.041.27-0.940.55-0.06-0.950.400.47-0.20
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatopV3VrVaVsVbVfg%Vft%VtoV
146-0.31NBA 15-16SAS811662:05690123158226596.425612.8105876-0.830.61-1.400.03-0.47-1.04-0.610.070.88
286-0.66NBA 14-15SAS51801:21351627587282.381336.8254035-1.93-0.19-1.63-0.81-1.34-1.05-0.740.081.68
80-0.09NBA 13-14SAS811527:26826135170149689.464666.8908262-0.620.91-1.22-0.49-0.20-0.91-0.030.361.38
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatopV3VrVaVsVbVfg%Vft%VtoV

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopf
12/8/2016@ CHIL 91 - 950.40SAS23:431642120.50012.000011
12/6/2016@ MINW 105 - 910.26SAS26:551524520.462131.000121
12/5/2016@ MILW 97 - 96-1.58SAS20:43101500.0008.500200
12/2/2016WASW 107 - 105-0.13SAS27:401024800.4449.000011
11/30/2016@ DALW 94 - 871.09SAS29:122353410.75012.000021
11/29/2016ORLL 83 - 95-0.48SAS19:10712210.40051.000222
11/26/2016@ WASW 112 - 1000.12SAS19:251333400.57171.000211
11/25/2016@ BOSW 109 - 1030.24SAS24:141921110.75081.000542
11/23/2016@ CHAW 119 - 114-0.08SAS19:22812410.50041.000313
11/21/2016DALW 96 - 910.14SAS30:071723120.54511.750421
11/18/2016@ LALW 116 - 107-0.57SAS20:151110300.5569.000023
11/16/2016@ SACW 110 - 105-0.73SAS19:02512300.5004.000021
11/14/2016MIAW 94 - 90-0.14SAS24:201023300.66731.000422
11/12/2016@ HOUW 106 - 100-0.48SAS21:19824400.3758.000011
11/11/2016DETW 96 - 86-0.13SAS26:121012410.42971.000312
11/9/2016HOUL 99 - 101Y-0.21SAS33:408031000.37581.000201
11/5/2016LACL 92 - 116Y-1.11SAS25:10403500.14371.000223
11/4/2016@ UTAW 100 - 86Y0.15SAS29:381643300.54511.000013
11/1/2016UTAL 91 - 106-0.49SAS14:37801210.5008.000011
10/30/2016@ MIAW 106 - 990.14SAS25:071840000.600101.000211
10/29/2016NORW 98 - 79Y0.52SAS24:161841500.66791.000210
10/27/2016@ SACW 102 - 94-0.77SAS22:46621100.2867.000001
10/25/2016@ GSWW 129 - 1000.82SAS17:511131540.4449.000001
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopf
4/13/2016@ DALW 96 - 91-1.36SAS20:07310100.2504.000032
4/12/2016OKCW 102 - 98-0.71SAS15:46711300.20051.000412
4/10/2016GSWL 86 - 92-0.52SAS20:56712210.25081.000202
4/8/2016@ DENL 98 - 102-0.56SAS23:05713711.167121.000210
4/7/2016@ GSWL 101 - 112-0.62SAS17:35710310.3758.000011
4/5/2016@ UTAW 88 - 86-0.44SAS20:42621210.4005.000013
4/2/2016TORW 102 - 95-1.14SAS24:13710400.22291.000222
3/30/2016NORW 100 - 92-0.41SAS20:22620120.4005.000021
3/28/2016@ MEMW 101 - 870.20SAS22:121731400.70010.000020
3/26/2016@ OKCL 92 - 111Y-0.73SAS31:061022000.40010.000013
3/25/2016MEMW 110 - 104SAS             
3/23/2016MIAW 112 - 88-0.26SAS15:19902210.40051.000510
3/21/2016@ CHAL 88 - 91-1.46SAS15:46203100.2005.000031
3/19/2016GSWW 87 - 79-1.01SAS20:48311100.2005.000003
3/17/2016PORW 118 - 1100.13SAS20:591732200.500121.000202
3/15/2016LACW 108 - 870.33SAS23:291525600.6679.500202
3/12/2016OKCW 93 - 85-0.60SAS19:48417310.1676.500201
3/10/2016CHIW 109 - 101-1.17SAS17:26510400.2229.000010
3/8/2016@ MINW 116 - 91-1.02SAS17:56712400.27311.000012
3/7/2016@ INDL 91 - 990.12SAS22:161734200.462131.000201
3/5/2016SACW 104 - 94-0.54SAS23:43934300.3758.000022
3/3/2016@ NORW 94 - 860.89SAS26:36914831.50061.000211
3/2/2016DETW 97 - 81-0.18SAS18:09712710.3758.000001
2/27/2016@ HOUW 104 - 94-1.14SAS20:36201200.2504.000012
2/25/2016@ UTAW 96 - 78-0.31SAS16:561131100.8005.000110
2/24/2016@ SACW 108 - 92-0.42SAS19:06710310.5006.000010
2/21/2016@ PHOW 118 - 1110.39SAS22:472163500.46213.750413
2/19/2016@ LALW 119 - 113-0.08SAS25:531531710.46213.000030
2/18/2016@ LACL 86 - 105-0.43SAS25:26911210.40010.000002
2/10/2016@ ORLW 98 - 961.11SAS30:311736721.63611.000112
2/9/2016@ MIAW 119 - 101-0.40SAS15:31823110.3336.667301
2/6/2016LALW 106 - 102-0.57SAS22:121333400.33315.000012
2/5/2016@ DALW 116 - 900.16SAS15:241624000.7508.667302
2/3/2016NORW 110 - 970.05SAS24:29823410.5006.000001
2/1/2016ORLW 107 - 921.08SAS20:492234510.692131.000111
1/30/2016@ CLEL 103 - 117-1.12SAS20:54400200.3336.000013
1/27/2016HOUW 130 - 99-0.66SAS15:20913400.4449.000021
1/25/2016@ GSWL 90 - 120-1.41SAS16:23310200.2005.000032
1/22/2016@ LALW 108 - 950.25SAS18:151534200.60010.000001
1/21/2016@ PHOW 117 - 89-0.36SAS19:18821320.30010.000012
1/17/2016DALW 112 - 83-0.91SAS16:29602000.50041.000223
1/14/2016CLEW 99 - 95-0.46SAS13:11621200.5004.000001
1/12/2016@ DETW 109 - 99-1.00SAS16:08203110.1437.000001
1/11/2016@ BKNW 106 - 79-1.18SAS15:59200200.2504.000010
1/8/2016NYKW 100 - 99-0.79SAS15:33200300.00011.000201
1/6/2016UTAW 123 - 98Y-1.04SAS23:05000210.0004.000000
1/4/2016@ MILW 123 - 98Y-0.47SAS28:041031500.4297.500213
1/2/2016HOUW 121 - 103-0.39SAS21:28930310.30010.000000
12/30/2015PHOW 112 - 79-0.33SAS16:51711210.6005.000011
12/28/2015MINW 101 - 95-0.05SAS19:111110410.57171.000210
12/26/2015DENW 101 - 86-0.38SAS22:32822310.3758.000011
12/25/2015@ HOUL 84 - 88-0.46SAS19:00315310.2005.000000
12/23/2015@ MINW 108 - 83-1.09SAS20:05603110.3339.000031
12/21/2015INDW 106 - 92-0.56SAS20:091010400.5008.500201
12/18/2015LACW 115 - 107-0.59SAS23:52822201.3339.000012
12/16/2015WASW 114 - 95-0.22SAS19:091100110.50081.000301
12/14/2015UTAW 118 - 810.21SAS14:551133210.6676.000011
12/12/2015@ ATLW 103 - 78-0.42SAS23:54703510.28671.000311
12/11/2015LALW 109 - 870.91SAS21:442233310.81811.500210
12/9/2015@ TORL 94 - 97-0.58SAS21:51312610.2005.000010
12/7/2015@ PHIW 119 - 68-0.55SAS11:43401400.6673.000000
12/5/2015BOSW 108 - 105-0.35SAS25:48914200.5008.000001
12/3/2015@ MEMW 103 - 83-0.65SAS20:16402220.3336.000022
12/2/2015MILW 95 - 70-0.10SAS22:281333300.45511.000000
11/30/2015@ CHIL 89 - 92-1.24SAS16:41400100.2508.000000
11/28/2015ATLW 108 - 880.46SAS19:411331110.8336.000003
11/27/2015@ DENW 91 - 80-0.36SAS21:15913110.5717.000023
11/25/2015DALW 88 - 83-0.69SAS16:52312020.1437.000002
11/23/2015PHOW 98 - 840.06SAS28:181020130.5008.000022
11/21/2015MEMW 92 - 82-1.00SAS20:06312100.2504.000012
11/20/2015@ NORL 90 - 1040.05SAS21:581131321.4449.000031
11/18/2015DENW 109 - 980.47SAS25:091736311.46715.000010
11/16/2015PORW 93 - 80-0.87SAS21:24403310.2508.000010
11/14/2015PHIW 92 - 83-0.70SAS21:23511130.18211.000010
11/11/2015@ PORW 113 - 101-0.44SAS18:187111001.0003.000010
11/9/2015@ SACW 106 - 880.42SAS23:03911840.36411.000010
11/7/2015CHAW 114 - 940.74SAS18:441532420.6679.000012
11/4/2015@ WASL 99 - 102-1.07SAS21:20401100.5004.000023
11/2/2015@ NYKW 94 - 84-0.37SAS25:09512220.3336.000011
11/1/2015@ BOSW 95 - 87-0.43SAS20:358211001.0003.000021
10/30/2015BKNW 102 - 750.14SAS18:241133300.6676.000000
10/28/2015@ OKCL 106 - 112-0.54SAS22:11923200.4297.500203