Patty Mills - SAS - G

 Open Historical Profile
TeamSAS
Age28
Draft2009 (Pick 55)
NBA Salary$3,200,000
Projection Updated1/22/2017

Related Articles (20)

4.9d ago
Playing Playing Tuesday vs MIN (tightness left calf)
6.2d ago Open link
Probable Probable Tuesday vs MIN (tightness left calf)
He said he plans on playing.
62.0d ago Open link
Not Starting Not Starting Monday vs DAL
Mills is will come off the bench Monday, updating an earlier item.
62.0d ago Open link
Starting Starting Monday vs DAL
Mills is starting Monday vs DAL.
79.3d ago Open link
Starting Starting Friday @UTA
Mills is starting Friday at UTA with Tony Parker (knee) out.
85.1d ago Open link
Starting Starting Saturday vs NOR
Mills is starting Saturday vs NOR.
20.1h
gehrenberg
It would matter where he signs. It's hard to know how big his role would be without knowing where he goes. Lots of moving pieces in that question
20.2h
action781
Even if he doesn't start next season, could he be in for a much bigger role if Patty Mills doesn't get resigned? What are the chances of that?
29.2d
Keno
100% (1) agree 
How much time will this guy get tomorrow with Parker playing?
40.1d
kylemckeown16
funtasy -- It's hard to say because we don't know exactly how things are going to shake out in the DEN rotation when Harris returns. -- They have similar value this season, but I'd probably bank on Harris getting more minutes and getting more steals, making him more enticing than Patty. Overall, though, will your team be better with the modestly better assists from Patty or the modestly better steals from Gary?
40.1d
funtasy
Thanks!do you think it's better to own Gary Harris and will Barton than owing patty in 12 team league?
40.1d
kylemckeown16
funtasy -- The recent barrage of steals isn't sustainable, but his improved FG% could stay relatively high. The biggest wart Mills has are the minutes he gets. Even when Parker is out, Mills has been coming off the bench. If you need decent points and 3s with modest assists, he can help, but I usually avoid Patty in standard leagues because of his low ceiling.
40.1d
funtasy
Patty mills has been playing well and has similar stats as Gary Harris( PM has more assists but less block). Sustainable?
40.1d
funtasy
100% (1) agree 
Patty mills has been playing well and has similar stats as Gary Harris( PM has more assists but less block). Sustainable?
42.4d
funtasy
0% (2) agree 
Drop Robert Covington for patty mills ? Patty has been playing well so far, getting more consistent 3s and steals than roco, who's going to hurt my fg% pretty bad. The only downside patty has is lack of block.
47.0d
joshlloyd48
100% (2) agree 
I would not. I would keep Deron
47.0d
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.
47.0d
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
47.0d
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
48.0d
funtasy
50% (2) agree 
worth owning in 12 team league? with tony's healthy on balance
48.9d
action781
0% (10) agree 
Would Patty be a top 50 player if Tony Parker were to get injured? Up for yes, down for no
50.1d
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.
50.3d
Lowkey
Shooting at a great percentage this year? But if a bump? It should regress though right? Can he hold top 100 value though?
76.0d
brezzab
100% (1) agree 
If TP9 goes down for an extended period, what would Patty Mills' value be?
88.8d
#19032
100% (1) agree 
Would anyone take Mills over Seth Curry or Tyler Johnson?
88.8d
#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/gUSGpV3VrVaVsVbVfg%Vft%VtoV
158-0.34Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
127-0.27NBA 16-17SAS4221.910.01.81.83.50.80.0.4577.8.8801.21.420.4-0.810.59-1.390.20-0.39-1.16-0.160.280.41
236-0.61Last WeekSAS322.19.02.31.73.70.70.0.3468.7.5001.31.322.0-0.971.13-1.440.29-0.79-1.16-1.95-1.050.46
325-0.83Last 2 WeeksSAS519.76.61.61.63.60.40.0.3246.8.5001.21.620.4-1.390.33-1.470.26-1.44-1.16-1.81-0.940.16
233-0.51Last MonthSAS1319.87.61.41.63.50.80.0.4146.7.6921.01.519.9-1.210.09-1.460.19-0.36-1.16-0.67-0.270.23
139-0.29Last 2 MonthsSAS2821.09.61.81.83.51.00.0.4477.7.8391.11.520.9-0.870.57-1.410.19-0.08-1.16-0.310.140.27
127-0.27Last 3 MonthsSAS4221.910.01.81.83.50.80.0.4577.8.8801.21.420.4-0.810.59-1.390.20-0.39-1.16-0.160.280.41
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
192-0.39NBA 15-16SAS8120.58.51.52.02.80.70.1.4257.6.8100.70.919.8-1.110.46-1.55-0.12-0.70-1.06-0.580.071.06
288-0.56NBA 14-15SAS5115.76.91.21.51.70.50.0.3816.6.8250.80.722.5-1.550.25-1.64-0.58-1.05-1.07-0.970.111.45
116-0.19NBA 13-14SAS8118.910.21.72.11.80.80.1.4648.2.8901.00.822.1-0.890.70-1.32-0.58-0.41-0.95-0.040.311.46
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
87-0.11Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
65-0.06NBA 16-17SAS4221.916.43.03.05.71.40.0.45712.7.8802.02.320.4-0.271.17-1.030.930.07-1.19-0.260.35-0.28
193-0.41Last WeekSAS322.114.73.82.76.01.10.0.34614.1.5002.22.222.0-0.591.84-1.091.04-0.41-1.19-1.95-1.17-0.18
253-0.68Last 2 WeeksSAS519.712.12.92.96.60.70.0.32412.4.5002.22.920.4-1.091.11-1.041.29-1.01-1.19-2.02-1.18-0.96
182-0.29Last MonthSAS1319.813.82.52.96.31.50.0.41412.1.6921.82.819.9-0.760.76-1.041.170.35-1.19-0.81-0.31-0.82
66-0.05Last 2 MonthsSAS2821.016.53.13.05.91.70.0.44713.2.8391.92.620.9-0.251.27-1.021.030.56-1.19-0.410.20-0.60
65-0.06Last 3 MonthsSAS4221.916.43.03.05.71.40.0.45712.7.8802.02.320.4-0.271.17-1.030.930.07-1.19-0.260.35-0.28
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
89-0.10NBA 15-16SAS8120.514.92.73.44.91.30.1.42513.3.8101.31.619.8-0.491.20-1.330.69-0.04-0.96-0.740.290.48
98-0.13NBA 14-15SAS5115.715.82.83.43.91.30.1.38115.1.8251.81.622.5-0.361.30-1.130.20-0.01-0.69-1.220.180.58
140.25NBA 13-14SAS8118.919.53.24.03.51.60.2.46415.7.8901.91.522.10.651.59-0.980.110.51-0.92-0.250.650.85
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
123-0.25Projection 16-17SASSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
114-0.23NBA 16-17SAS42921:484197776146350.457326.880505820.4-0.650.69-1.360.30-0.28-1.18-0.210.300.32
209-0.51Last WeekSAS366:1627751120.34626.5004422.0-0.970.65-1.310.05-0.58-0.98-1.07-0.730.37
301-0.75Last 2 WeeksSAS598:2833881820.32434.5006820.4-1.41-0.01-1.41-0.08-1.27-1.09-1.04-0.800.34
223-0.53Last MonthSAS13257:5499182145110.41487.692132019.9-1.18-0.03-1.420.05-0.43-1.27-0.57-0.240.31
131-0.29Last 2 MonthsSAS28587:28269514997270.447215.839314220.9-0.780.56-1.360.19-0.07-1.14-0.370.140.22
114-0.23Last 3 MonthsSAS42921:484197776146350.457326.880505820.4-0.650.69-1.360.30-0.28-1.18-0.210.300.32
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
146-0.31NBA 15-16SAS811662:05690123158226596.425612.810587619.8-0.830.61-1.400.03-0.47-1.04-0.610.070.88
286-0.66NBA 14-15SAS51801:21351627587282.381336.825403522.5-1.93-0.19-1.63-0.81-1.34-1.05-0.740.081.68
80-0.09NBA 13-14SAS811527:26826135170149689.464666.890826222.1-0.620.91-1.22-0.49-0.20-0.91-0.030.361.38

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
1/21/2017@ CLEW 118 - 115-0.10SAS30:421333510.364111.00022220.4 
1/19/2017DENW 118 - 104-1.55SAS16:09311200.2005.00021019.5 
1/17/2017MINW 122 - 114-0.18SAS19:251131410.40010.00001126.1 
1/14/2017@ PHOL 105 - 108SAS               
1/12/2017LALW 134 - 94-0.99SAS16:44611200.4005.50021318.4 
1/10/2017MILL 107 - 109-1.33SAS15:28002500.0003.00003017.7 
1/7/2017CHAW 102 - 85-0.20SAS19:161312120.42914.00001136.2 
1/5/2017@ DENW 127 - 99-0.43SAS18:02511410.3336.00000115.2 
1/3/2017TORW 110 - 82-0.19SAS17:49623310.5004.00001113.3 
1/1/2017@ ATLL 112 - 114-0.98SAS21:14510300.2508.00000118.1 
12/30/2016PORW 110 - 94-0.12SAS21:47601420.7504.00002312.3 
12/28/2016PHOW 119 - 98-1.11SAS15:50603200.40051.00024226.1 
12/25/2016CHIW 119 - 100-0.65SAS17:25200510.3333.00001210.5 
12/23/2016@ PORW 110 - 901.17SAS28:032353520.7789.80053224.4 
12/22/2016@ LACL 101 - 106-0.96SAS17:27312100.2005.00000312.1 
12/20/2016@ HOUW 102 - 1000.11SAS23:371330120.5569.00002120.6 
12/18/2016NORW 113 - 1000.08SAS19:351123710.42971.00032022.7 
12/15/2016@ PHOW 107 - 92-0.90SAS18:09511310.2229.00001325.3 
12/14/2016BOSW 108 - 101-0.49SAS24:061020210.4449.00002121.5 
12/10/2016BKNW 130 - 1010.85SAS16:161640430.54511.00001132.0 
12/8/2016@ CHIL 91 - 950.42SAS23:431642120.50012.00001122.9 
12/6/2016@ MINW 105 - 910.27SAS26:551524520.462131.00012129.4 
12/5/2016@ MILW 97 - 96-1.62SAS20:43101500.0008.50020017.9 
12/2/2016WASW 107 - 105-0.17SAS27:401024800.4449.00001115.7 
11/30/2016@ DALW 94 - 871.08SAS29:122353410.75012.00002124.8 
11/29/2016ORLL 83 - 95-0.49SAS19:10712210.40051.00022218.7 
11/26/2016@ WASW 112 - 1000.09SAS19:251333400.57171.00021121.9 
11/25/2016@ BOSW 109 - 1030.24SAS24:141921110.75081.00054226.1 
11/23/2016@ CHAW 119 - 114-0.08SAS19:22812410.50041.00031315.3 
11/21/2016DALW 96 - 910.15SAS30:071723120.54511.75042123.7 
11/18/2016@ LALW 116 - 107-0.60SAS20:151110300.5569.00002326.6 
11/16/2016@ SACW 110 - 105-0.77SAS19:02512300.5004.00002114.2 
11/14/2016MIAW 94 - 90-0.17SAS24:201023300.66731.00042212.1 
11/12/2016@ HOUW 106 - 100-0.51SAS21:19824400.3758.00001120.9 
11/11/2016DETW 96 - 86-0.13SAS26:121012410.42971.00031217.7 
11/9/2016HOUL 99 - 101Y-0.25SAS33:408031000.37581.00020111.8 
11/5/2016LACL 92 - 116Y-1.14SAS25:10403500.14371.00022319.0 
11/4/2016@ UTAW 100 - 86Y0.12SAS29:381643300.54511.00001318.4 
11/1/2016UTAL 91 - 106-0.51SAS14:37801210.5008.00001130.4 
10/30/2016@ MIAW 106 - 990.11SAS25:071840000.600101.00021121.0 
10/29/2016NORW 98 - 79Y0.49SAS24:161841500.66791.00021021.1 
10/27/2016@ SACW 102 - 94-0.81SAS22:46621100.2867.00000114.5 
10/25/2016@ GSWW 129 - 1000.90SAS17:511131540.4449.00000119.4 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016@ DALW 96 - 91-1.36SAS20:07310100.2504.00003216.7 
4/12/2016OKCW 102 - 98-0.71SAS15:46711300.20051.00041222.8 
4/10/2016GSWL 86 - 92-0.52SAS20:56712210.25081.00020218.3 
4/8/2016@ DENL 98 - 102-0.56SAS23:05713711.167121.00021027.0 
4/7/2016@ GSWL 101 - 112-0.62SAS17:35710310.3758.00001123.6 
4/5/2016@ UTAW 88 - 86-0.44SAS20:42621210.4005.00001315.3 
4/2/2016TORW 102 - 95-1.14SAS24:13710400.22291.00022222.5 
3/30/2016NORW 100 - 92-0.41SAS20:22620120.4005.00002117.4 
3/28/2016@ MEMW 101 - 870.20SAS22:121731400.70010.00002026.0 
3/26/2016@ OKCL 92 - 111Y-0.73SAS31:061022000.40010.00001315.8 
3/25/2016MEMW 110 - 104SAS               
3/23/2016MIAW 112 - 88-0.26SAS15:19902210.40051.00051025.7 
3/21/2016@ CHAL 88 - 91-1.46SAS15:46203100.2005.00003122.4 
3/19/2016GSWW 87 - 79-1.01SAS20:48311100.2005.00000311.0 
3/17/2016PORW 118 - 1100.13SAS20:591732200.500121.00020228.6 
3/15/2016LACW 108 - 870.33SAS23:291525600.6679.50020220.7 
3/12/2016OKCW 93 - 85-0.60SAS19:48417310.1676.50020115.4 
3/10/2016CHIW 109 - 101-1.17SAS17:26510400.2229.00001025.9 
3/8/2016@ MINW 116 - 91-1.02SAS17:56712400.27311.00001231.3 
3/7/2016@ INDL 91 - 990.12SAS22:161734200.462131.00020126.6 
3/5/2016SACW 104 - 94-0.54SAS23:43934300.3758.00002218.0 
3/3/2016@ NORW 94 - 860.89SAS26:36914831.50061.00021114.0 
3/2/2016DETW 97 - 81-0.18SAS18:09712710.3758.00000122.3 
2/27/2016@ HOUW 104 - 94-1.14SAS20:36201200.2504.00001211.2 
2/25/2016@ UTAW 96 - 78-0.31SAS16:561131100.8005.00011019.0 
2/24/2016@ SACW 108 - 92-0.42SAS19:06710310.5006.00001016.4 
2/21/2016@ PHOW 118 - 1110.39SAS22:472163500.46213.75041330.3 
2/19/2016@ LALW 119 - 113-0.08SAS25:531531710.46213.00003027.6 
2/18/2016@ LACL 86 - 105-0.43SAS25:26911210.40010.00000218.0 
2/10/2016@ ORLW 98 - 961.11SAS30:311736721.63611.00011217.7 
2/9/2016@ MIAW 119 - 101-0.40SAS15:31823110.3336.66730119.9 
2/6/2016LALW 106 - 102-0.57SAS22:121333400.33315.00001232.0 
2/5/2016@ DALW 116 - 900.16SAS15:241624000.7508.66730228.6 
2/3/2016NORW 110 - 970.05SAS24:29823410.5006.00000111.7 
2/1/2016ORLW 107 - 921.08SAS20:492234510.692131.00011132.5 
1/30/2016@ CLEL 103 - 117-1.12SAS20:54400200.3336.00001316.6 
1/27/2016HOUW 130 - 99-0.66SAS15:20913400.4449.00002131.3 
1/25/2016@ GSWL 90 - 120-1.41SAS16:23310200.2005.00003220.9 
1/22/2016@ LALW 108 - 950.25SAS18:151534200.60010.00000127.2 
1/21/2016@ PHOW 117 - 89-0.36SAS19:18821320.30010.00001226.2 
1/17/2016DALW 112 - 83-0.91SAS16:29602000.50041.00022318.8 
1/14/2016CLEW 99 - 95-0.46SAS13:11621200.5004.00000114.1 
1/12/2016@ DETW 109 - 99-1.00SAS16:08203110.1437.00000118.5 
1/11/2016@ BKNW 106 - 79-1.18SAS15:59200200.2504.00001014.5 
1/8/2016NYKW 100 - 99-0.79SAS15:33200300.00011.0002015.2 
1/6/2016UTAW 123 - 98Y-1.04SAS23:05000210.0004.0000008.0 
1/4/2016@ MILW 123 - 98Y-0.47SAS28:041031500.4297.50021313.6 
1/2/2016HOUW 121 - 103-0.39SAS21:28930310.30010.00000021.5 
12/30/2015PHOW 112 - 79-0.33SAS16:51711210.6005.00001116.4 
12/28/2015MINW 101 - 95-0.05SAS19:111110410.57171.00021022.1 
12/26/2015DENW 101 - 86-0.38SAS22:32822310.3758.00001118.5 
12/25/2015@ HOUL 84 - 88-0.46SAS19:00315310.2005.00000011.6 
12/23/2015@ MINW 108 - 83-1.09SAS20:05603110.3339.00003127.5 
12/21/2015INDW 106 - 92-0.56SAS20:091010400.5008.50020120.9 
12/18/2015LACW 115 - 107-0.59SAS23:52822201.3339.00001218.7 
12/16/2015WASW 114 - 95-0.22SAS19:091100110.50081.00030122.1 
12/14/2015UTAW 118 - 810.21SAS14:551133210.6676.00001123.0 
12/12/2015@ ATLW 103 - 78-0.42SAS23:54703510.28671.00031117.5 
12/11/2015LALW 109 - 870.91SAS21:442233310.81811.50021026.3 
12/9/2015@ TORL 94 - 97-0.58SAS21:51312610.2005.00001012.6 
12/7/2015@ PHIW 119 - 68-0.55SAS11:43401400.6673.00000012.9 
12/5/2015BOSW 108 - 105-0.35SAS25:48914200.5008.00000113.6 
12/3/2015@ MEMW 103 - 83-0.65SAS20:16402220.3336.00002218.7 
12/2/2015MILW 95 - 70-0.10SAS22:281333300.45511.00000022.1 
11/30/2015@ CHIL 89 - 92-1.24SAS16:41400100.2508.00000021.1 
11/28/2015ATLW 108 - 880.46SAS19:411331110.8336.00000313.1 
11/27/2015@ DENW 91 - 80-0.36SAS21:15913110.5717.00002320.6 
11/25/2015DALW 88 - 83-0.69SAS16:52312020.1437.00000219.2 
11/23/2015PHOW 98 - 840.06SAS28:181020130.5008.00002215.9 
11/21/2015MEMW 92 - 82-1.00SAS20:06312100.2504.00001212.0 
11/20/2015@ NORL 90 - 1040.05SAS21:581131321.4449.00003126.5 
11/18/2015DENW 109 - 980.47SAS25:091736311.46715.00001029.4 
11/16/2015PORW 93 - 80-0.87SAS21:24403310.2508.00001020.5 
11/14/2015PHIW 92 - 83-0.70SAS21:23511130.18211.00001024.6 
11/11/2015@ PORW 113 - 101-0.44SAS18:187111001.0003.00001010.6 
11/9/2015@ SACW 106 - 880.42SAS23:03911840.36411.00001023.1 
11/7/2015CHAW 114 - 940.74SAS18:441532420.6679.00001224.3 
11/4/2015@ WASL 99 - 102-1.07SAS21:20401100.5004.00002312.4 
11/2/2015@ NYKW 94 - 84-0.37SAS25:09512220.3336.00001113.2 
11/1/2015@ BOSW 95 - 87-0.43SAS20:358211001.0003.00002110.1 
10/30/2015BKNW 102 - 750.14SAS18:241133300.6676.00000014.7 
10/28/2015@ OKCL 106 - 112-0.54SAS22:11923200.4297.50020315.4