Karl-Anthony Towns - MIN - C

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TeamMIN
Age21
Draft2015 (Pick 1)
NBA Salary$5,960,160
Projection Updated4/12/2017

Related Articles (4)

46.5d
velvethoops
50% (2) agree 
I am a huge fan of KAT. However, does anyone think that Wiggins and the return of Lavine will hold him back. I feel like there's this dynamic of the OKC Westbrook/KD "who is the alpha-dog" aura. Nonetheless, he will go in the first round. Just wanting to see other's opinions.
51.6d
scoobydoo
100% (4) agree 
You know a guy is consistent and reliable when he goes 50 days without a comment or injury update!
51.6d
Keno
100% (1) agree 
Last game for me tonight in the finals and I couldnt have asked for anything better(well maybe 1 block would have been nice :P) Needed the DD too, thanks for a great season KAT!
51.6d
Juggernaut
Absolute Beast. Monster 2nd half, 75/75 games played this season for me.
101.6d
sircharlesbarkley
100% (6) agree 
i'm sorry Karl.. forgive me for my early criticism.. you'll make my team champion, i'm sure now..
103.2d
TheNorthSide
81% (16) agree 
What do you guys think about this. Kat Rubio Harrison Barnes(up) for oladipo Butler aldridge(down)??
128.5d
Keno
75% (12) agree 
(UP) KAT (DOWN) Gortat+ThadYoung+Dieng
129.5d
velvethoops
100% (3) agree 
Can anyone confirm that KAT has been taking less 3s the past few games? I hated he was taking so many early in the season and it was killing his efficiency. His FG amd FT efficiency the past few games is exactly why I drafted him and the defensive stats are coming in!
133.5d
chillPenguin
100% (1) agree 
Towns looked amazing tonight. He hit a couple 3s early but didn't fall in love with the shot like he does in his bad games. He was beasting in the paint and Rubio hooked him up all night. They could be a pretty sweet duo for the rest of the season.
157.0d
wilsonhw
17% (12) agree 
Towns/Dieng/Carroll(Up), Lebron, M.Gasol(Down)
160.4d
mchilson21
60% (10) agree 
Up- Towns... Down- Love/Gary Harris. Punting fg %
166.0d
farmhill
25% (4) agree 
It's not significantly off, but I think with the added offensive load and higher 3attempts/g that FG% needs to be dropped and I'm not convinced his blk/36 ever gets all the way back up to that projection
173.4d
Thrillard45
100% (3) agree 
Holy crap he nearly dropped a 50-20 game...
175.8d
sircharlesbarkley
0% (1) agree 
i didn't trade him but he is a disappointment for me so far. i gave up a cheap giannis(auction) for him. i predicted more points and -especially- rebounds with increased minutes.. he can't even reach last years reb numbers.. i'd be fine with 23-12..
177.1d
sircharlesbarkley
0% (5) agree 
Giving KAT+mccollum for a.davis? Do you suggest this move? 8 teams, 12 cats (9 cats + fgm + ftm + dd) (our league has a rich fa pool with a lot of sg' s..)
182.8d
kylemckeown16
Chikiny2000 -- Since you're punting PTs and 3PM, Whiteside does seem like the better option for your team build, and if things stay the way they are now, you'd almost literally be doubling your rebounds in the trade. With all that said, there is the faint concern that Towns will continue to make strides this season as he finds himself more and more in Thibodeau's systems, so just make sure you're at peace with Towns continuing to evolve and expand his game going forward.
182.8d
chikiny2000
Thoughts on dealing Towns for Whiteside? Whiteside's floor has been higher than expected. I'm punting Points and 3's so I think the benefit on BLK and REB is too much to pass up.
185.8d
kylemckeown16
hathewam -- I'd do it. I would want Towns in that trade.
185.9d
hathewam
100% (15) agree 
Trade Mike Conley and Steven Adams for Towns? Punt AST build - also have Jrue Holiday coming off IR to cover some of the hit in STLs.
194.8d
Laynej3
Yeah, but the guy backed out of his offer. haha
194.8d
kylemckeown16
Laynej3 -- How deep is the league? Are there better players than Thompson available on the wire?
194.9d
Laynej3
0% (5) agree 
Trade Towns and Porzingis for AD and tristan Thompson?
197.8d
watso
80% (5) agree 
Do you trade KAT for KPort and Irving in a 9 CAT ROTO?
202.2d
chillPenguin
100% (1) agree 
The main thing limiting his value at the moment is that his percentages have been much lower than expected(especially FT%), and that should change soon. He's improved at 3s, assists, and steals substantially. He's been involving his teammates more on offense, having watched all of the Wolves games I think he will be fine.
202.5d
dl22
Minutes were limited due to a near 40 point blow out win and Lavine/Dieng couldn't miss tonight, hence his 4 assists. I watched the game and he looks fine.
202.5d
DarkHorseFantasy
20% (5) agree 
anyone worried yet?
210.7d
krnkrackmonkey
That answer lies in whether you're playing in a Roto or H2H league. Players that miss games are less valuable in H2H. I'm assuming Towns moves up in total games because the Warriors are expected to sit players at the end of the regular season.
213.3d
kchung4388
67% (3) agree 
I see that Towns is projected to finish 3rd in totals rankings but 5th in per game value. When I'm drafting, which ranking is more important to consider?
215.7d
joshlloyd48
In roto, I would still want KD over KAt, but the 9 cat aspect makes it interesting. I don't think you're wrong grabbing KAT there
215.8d
jimtetus
100% (1) agree 
I have the 4th pick in a 9-Cat Roto league. If I had the choice between KD and KAT, i was thinking of taking KAT. His numbers are very similar to AD except for Blks. I think KAT could be Top 2 at the end of the year. Thoughts?
216.2d
tremajj
Do you think fta/gm has a chance to go considerably higher this year for KAT?
225.9d
bloomj01
67% (3) agree 
Picking #2. 12 Team 9 Cat h2h. seriously considering Towns. Have I lost my mind?
240.9d
rooneylace
All makes sense. I know there is so much to love with Curry and KD, I was semi-talking myself into not enough shots to go around for all the warriors and, plus those decreased minutes with all the blowouts ahead of them. I know KAT is hard to slot in at #3 value, just throwing it out there. Thanks.
240.9d
jbs5635
I guess you are thinking they go 1-2? If Curry is there at 3 I gotta take him over KAT. He's obviously so good that even with a little regression his value is still going to be massive. As Josh mentioned in his one man mock even with a slight drop off it's not going to be enough due to his efficiency and insane 3's.
240.9d
rooneylace
For sure. I was thinking the 3rd pick.
241.0d
jbs5635
With a top 3 pick you should be able to get Harden or Westbrook. I would rather have either one of them, especially in 8-cat.
241.0d
rooneylace
Am I crazy to think about taking KAT 3rd overall in 8-cat? My thinking is a safety net if all the bodies in Golden State drastically drag down Curry and KD totals, especially with so little 4th quarter minutes coming their way this season. Wondering your thoughts.
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
257-0.16Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
50.72NBA 16-17MIN8237.025.11.212.22.70.71.3.54218.0.8325.22.627.41.76-0.082.51-0.17-0.741.132.410.61-0.95
41.11Last 2 MonthsMIN1237.528.41.412.62.31.00.8.58618.5.8896.02.227.22.320.122.64-0.37-0.020.173.951.60-0.47
11.00Last 3 MonthsMIN2538.128.41.413.32.20.80.8.59719.0.8415.02.527.62.320.152.90-0.41-0.640.344.450.71-0.88
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
120.47NBA 15-16MIN8232.018.30.410.42.00.71.7.54314.0.8113.42.224.80.80-0.801.97-0.49-0.751.712.060.31-0.53
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
DNQ-0.18Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
110.26NBA 16-17MIN8237.024.51.211.92.60.71.2.54217.6.8325.12.527.41.29-0.301.01-0.42-0.800.201.370.44-0.46
70.54Last 2 MonthsMIN1237.527.31.412.12.21.00.7.58617.7.8895.82.127.21.83-0.161.05-0.62-0.43-0.302.281.200.03
60.43Last 3 MonthsMIN2538.126.81.412.62.00.70.8.59718.0.8414.82.427.61.75-0.151.16-0.67-0.77-0.232.540.53-0.31
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
90.24NBA 15-16MIN8232.020.60.411.72.20.81.9.54315.8.8113.82.524.80.75-0.671.25-0.43-0.620.801.170.39-0.45
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
257-0.16Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
70.79NBA 16-17MIN823030:582,0611011,00422059103.5421,480.83242821227.41.830.012.59-0.09-0.571.342.470.60-1.06
200.49Last 2 MonthsMIN12450:173411715127129.586222.889722627.20.97-0.171.40-0.50-0.41-0.102.281.02-0.03
140.68Last 3 MonthsMIN25952:0171036332541921.597476.8411266327.61.550.022.24-0.46-0.700.193.220.58-0.55
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
80.66NBA 15-16MIN822626:041,5033085416158138.5431,152.81127518324.81.22-0.752.40-0.37-0.502.122.400.32-0.87

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017@ HOUL 118 - 123Y2.07MIN36:0928321310.706171.00010220.5 
4/11/2017OKCL 98 - 100Y0.79MIN40:2226212110.500201.00041225.3 
4/9/2017@ LALL 109 - 110Y2.03MIN41:1640121411.77322.62583330.3 
4/7/2017@ UTAL 113 - 120Y1.24MIN31:4032313210.571211.00053438.2 
4/6/2017@ PORL 98 - 105Y1.07MIN38:5624116411.500161.00073425.0 
4/4/2017@ GSWL 107 - 121Y1.24MIN27:392116422.80010.80053221.5 
4/3/2017PORW 110 - 109Y0.90MIN38:3334012000.600251.00041232.0 
4/1/2017SACL 117 - 123Y0.13MIN39:4326111210.47117.900105427.6 
3/30/2017LALW 119 - 104Y0.87MIN41:163229221.50022.800103530.4 
3/28/2017@ INDW 115 - 114Y1.93MIN40:4837312111.545221.000101129.6 
3/25/2017@ PORL 100 - 112Y-0.38MIN31:131605001.54511.80052124.1 
3/24/2017@ LALL 119 - 130Y1.38MIN42:4225013412.579191.00031122.2 
3/21/2017SASL 93 - 100Y0.93MIN39:2425114112.47117.88992326.7 
3/19/2017@ NORL 109 - 123Y0.44MIN39:293346210.51927.50023235.0 
3/17/2017@ MIAL 105 - 123Y0.92MIN38:5831111100.647171.00083328.2 
3/15/2017@ BOSL 104 - 117Y0.16MIN40:2117114400.500141.00022318.7 
3/13/2017WASW 119 - 104Y2.05MIN35:0439213210.654261.00030233.9 
3/11/2017@ MILL 95 - 102Y1.47MIN40:0635314112.66721.66764432.0 
3/10/2017GSWW 103 - 102Y0.08MIN38:032329202.55618.33333425.4 
3/8/2017LACW 107 - 91Y1.05MIN34:5829114200.66721.00001327.7 
3/4/2017@ SASL 90 - 97Y0.52MIN45:4124014111.56316.75082421.3 
3/1/2017@ UTAW 107 - 80Y0.46MIN35:0521215301.563161.00014227.6 
2/27/2017@ SACW 102 - 88Y1.10MIN37:5729117203.68419.40052325.6 
2/25/2017@ HOUL 130 - 142Y2.07MIN37:1537122311.667241.00044229.5 
2/24/2017DALW 97 - 84Y0.38MIN39:2326018310.66718.66737132.2 
2/15/2017@ DENW 112 - 99Y0.75MIN38:3124119210.42119.87580226.3 
2/14/2017CLEL 108 - 116Y0.69MIN38:302618401.579191.00032426.8 
2/12/2017CHIW 117 - 89Y0.99MIN34:172207410.727111.00061119.2 
2/10/2017NORL 106 - 122Y0.75MIN37:333618100.591221.00094534.8 
2/8/2017TORW 112 - 109Y1.84MIN36:4229014112.571141.000131326.7 
2/6/2017MIAL 113 - 115Y1.21MIN37:483528021.65020.700102432.3 
2/4/2017MEML 99 - 107Y1.27MIN38:0727216211.53315.900102525.0 
2/3/2017@ DETL 108 - 116Y0.23MIN33:2524011101.57919.50040527.4 
2/1/2017@ CLEL 97 - 125Y1.54MIN38:3226212412.579191.00021023.2 
1/30/2017ORLW 111 - 105Y0.43MIN44:5323112703.44418.85775326.6 
1/28/2017BKNW 129 - 109Y1.57MIN36:0337213114.57726.62582136.0 
1/26/2017INDL 103 - 109Y1.43MIN37:4433410420.56523.75042232.2 
1/24/2017@ PHOW 112 - 111Y0.52MIN38:3518010221.58312.80053519.5 
1/22/2017DENW 111 - 108Y1.54MIN40:0332012714.68419.75086431.2 
1/19/2017@ LACW 104 - 101Y1.87MIN40:3437112510.708241.00022329.0 
1/17/2017@ SASL 114 - 122Y0.60MIN42:3727216001.556181.00055425.9 
1/15/2017@ DALL 87 - 98Y-0.09MIN38:041819311.47117.50023226.4 
1/13/2017OKCW 96 - 86Y2.28MIN36:3729017123.647171.00072426.5 
1/11/2017HOUW 119 - 105Y0.93MIN37:5723018513.58817.75046328.6 
1/9/2017DALW 101 - 92Y2.42MIN37:1534211413.789191.00023429.8 
1/7/2017UTAL 92 - 94Y-0.16MIN40:3518115100.38513.87582420.6 
1/6/2017@ WASL 105 - 112Y-0.09MIN37:4618010511.41217.80053326.7 
1/3/2017@ PHIL 91 - 93Y0.43MIN37:2723115502.409221.00043231.8 
1/1/2017PORL 89 - 95Y-0.37MIN33:3711013611.200151.00053225.7 
12/30/2016MILW 116 - 99Y0.11MIN38:1718016302.58312.66764424.2 
12/28/2016@ DENL 103 - 105Y0.18MIN34:42151111002.41217.00003124.9 
12/26/2016ATLW 104 - 90Y1.97MIN30:51223114031.00081.00031515.3 
12/25/2016@ OKCL 100 - 112Y-0.09MIN32:152608000.500201.00063136.2 
12/23/2016SACL 105 - 109Y0.21MIN37:3220113500.46715.83361122.9 
12/21/2016@ ATLW 92 - 84Y-0.40MIN37:2017018501.43816.75046329.0 
12/19/2016PHOW 115 - 108Y1.15MIN34:4528115302.611181.00054428.6 
12/17/2016HOUL 109 - 111Y0.74MIN42:5841115501.53628.833126438.5 
12/13/2016@ CHIW 99 - 94Y-0.43MIN38:4616112213.28621.75044129.9 
12/11/2016GSWL 108 - 116Y0.61MIN39:2825118200.60015.75081321.5 
12/9/2016DETL 90 - 117Y-0.90MIN31:3614012101.50012.50045328.5 
12/8/2016@ TORL 110 - 124Y-0.15MIN34:3917111101.50016.00003424.0 
12/6/2016SASL 91 - 105Y-0.34MIN37:1611114411.188161.00042324.4 
12/3/2016@ CHAW 125 - 120Y0.98MIN34:2827015112.455221.00072333.3 
12/2/2016@ NYKL 114 - 118Y-0.27MIN30:042038103.27818.87584436.4 
11/30/2016NYKL 104 - 106Y2.44MIN41:3247018213.68222.850204236.6 
11/28/2016UTAL 103 - 112Y0.44MIN33:5719112111.421191.00020526.1 
11/26/2016@ GSWL 102 - 115Y0.48MIN34:381819331.38121.50020127.7 
11/25/2016@ PHOW 98 - 85Y0.07MIN35:2322210411.42119.80054230.6 
11/23/2016@ NORL 96 - 117Y-0.04MIN26:459111312.36411.00003321.1 
11/21/2016BOSL 93 - 99Y0.85MIN38:1627218302.57919.50061325.4 
11/19/2016@ MEML 71 - 93Y-0.33MIN27:531733001.60010.50042525.7 
11/17/2016PHIW 110 - 86Y1.00MIN38:2425110002.66718.00001222.3 
11/15/2016CHAL 108 - 115Y-0.27MIN37:062138401.39123.00003229.0 
11/13/2016LALW 125 - 99Y-1.04MIN38:5222212201.31822.600102332.4 
11/12/2016LACL 105 - 119Y0.95MIN33:1924110222.55618.75043529.5 
11/9/2016@ ORLW 123 - 107Y0.97MIN40:4220111121.438161.00050320.1 
11/8/2016@ BKNL 110 - 119Y0.26MIN32:012117401.533151.00043524.3 
11/5/2016@ OKCL 92 - 112Y0.79MIN30:563336001.65020.80053134.2 
11/3/2016DENL 99 - 102Y1.42MIN37:3132214212.57919.800102427.9 
11/1/2016MEMW 116 - 80Y-0.28MIN29:5811010411.40010.75043121.6 
10/29/2016@ SACL 103 - 106Y0.20MIN37:061516421.53813.00021519.5 
10/26/2016@ MEML 98 - 102Y0.25MIN36:292124511.450201.00012327.1 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016NORW 144 - 109Y1.86MIN31:5728214312.706171.00023328.7 
4/11/2016HOUL 105 - 129Y-0.36MIN27:291205111.40015.00001325.4 
4/9/2016@ PORW 106 - 105Y0.97MIN37:582709202.65020.50021226.0 
4/7/2016@ SACW 105 - 97Y-0.08MIN27:1717110311.37516.66761231.8 
4/5/2016@ GSWW 124 - 117Y-0.39MIN44:4320012402.44418.50082523.2 
4/3/2016DALL 78 - 88Y0.51MIN44:2411021913.385131.00016321.7 
4/1/2016@ UTAL 85 - 98Y-0.25MIN35:0417111301.40015.80053227.9 
3/30/2016LACL 79 - 99Y-0.07MIN23:2916211100.53813.00003230.1 
3/28/2016PHOW 121 - 116Y1.50MIN38:2227110520.556181.00061323.3 
3/26/2016UTAL 84 - 93Y0.83MIN34:1414011122.500121.00021219.1 
3/25/2016@ WASW 132 - 129Y0.72MIN47:3427110510.571211.00024326.1 
3/23/2016SACW 113 - 104Y1.21MIN29:0926011204.64717.80053532.6 
3/21/2016GSWL 104 - 109Y0.46MIN38:2024111201.57919.50022524.4 
3/18/2016@ HOUL 111 - 116Y1.55MIN40:0132011121.59122.85771229.1 
3/16/2016@ MEMW 114 - 108Y0.76MIN39:4318010421.6258.88994319.5 
3/14/2016@ PHOL 104 - 107Y-0.36MIN35:0417010210.46213.71473323.1 
3/11/2016@ OKCW 99 - 96Y0.40MIN38:4017012013.53315.50023321.8 
3/8/2016SASL 91 - 116Y-0.46MIN35:401909100.52917.50023127.3 
3/7/2016@ CHAL 103 - 108Y1.56MIN38:2428014212.61118.85771326.4 
3/5/2016BKNW 132 - 118Y1.96MIN38:212806723.77818.00004428.3 
3/4/2016@ MILL 101 - 116Y0.37MIN21:522117201.71414.00004133.0 
3/2/2016WASL 98 - 104Y0.46MIN39:4814015512.417121.00044419.6 
2/28/2016@ DALL 101 - 128Y-0.68MIN25:5412011300.6679.00024321.0 
2/27/2016@ NORW 112 - 110Y1.28MIN35:1330015421.65020.50081330.8 
2/24/2016@ TORL 105 - 114Y-0.54MIN37:201606010.38513.75081521.5 
2/22/2016BOSW 124 - 122Y0.93MIN36:2528113402.59122.50023229.3 
2/20/2016NYKL 95 - 103Y0.80MIN41:152408413.43523.80050228.9 
2/19/2016@ MEML 104 - 109Y-0.08MIN35:3011115312.267151.00023422.8 
2/10/2016TORW 117 - 112Y1.80MIN35:2335011103.63219.846130431.9 
2/8/2016NORL 102 - 116Y0.29MIN29:1619012101.60010.87583325.1 
2/6/2016CHIW 112 - 105Y1.48MIN40:5226017103.632191.00022324.2 
2/3/2016@ LACW 108 - 102Y0.22MIN31:0317112201.438161.00021426.3 
2/2/2016@ LALL 115 - 119Y0.41MIN31:581419202.6679.50021315.3 
1/31/2016@ PORL 93 - 96Y0.78MIN38:3121113223.50018.50043025.5 
1/29/2016@ UTAL 90 - 103Y1.56MIN36:0832112111.765171.00055131.9 
1/27/2016OKCL 123 - 126Y0.96MIN33:4819013503.533151.00032123.1 
1/25/2016@ CLEL 107 - 114Y1.22MIN29:4626011411.68816.80052330.9 
1/23/2016MEMW 106 - 101Y0.84MIN31:0414093111.00061.00022313.7 
1/20/2016@ DALL 94 - 106Y2.21MIN36:4827117316.63219.66733329.5 
1/19/2016@ NORL 99 - 114Y0.13MIN31:5820113211.412171.00055234.4 
1/17/2016PHOW 117 - 87Y0.85MIN26:021418113.62581.00032220.3 
1/15/2016@ OKCL 93 - 113Y-0.85MIN29:379012100.308131.00012523.0 
1/13/2016@ HOUL 104 - 107Y0.20MIN33:2212116320.40010.75043219.2 
1/12/2016OKCL 96 - 101Y-0.59MIN28:2414010100.429141.00023128.1 
1/10/2016DALL 87 - 93Y-0.02MIN25:051004112.5569.00002319.9 
1/8/2016CLEL 99 - 125Y0.57MIN35:202206300.78614.00002321.0 
1/6/2016DENL 74 - 78Y0.44MIN32:0714014202.429141.00020224.1 
1/4/2016@ PHIL 99 - 109Y-0.45MIN24:35806100.5008.00000415.3 
1/2/2016MILL 85 - 95Y-0.27MIN26:128010213.23517.00000128.3 
12/31/2015@ DETL 90 - 115Y0.52MIN35:032209301.588171.00022224.8 
12/30/2015UTAW 94 - 80Y0.48MIN31:3125010112.62516.62583233.8 
12/28/2015@ SASL 95 - 101Y0.00MIN31:0610012110.5717.66731513.5 
12/26/2015INDL 88 - 102Y0.37MIN39:582408311.62516.80055426.5 
12/23/2015SASL 83 - 108Y-0.72MIN34:0010011100.333121.00022321.7 
12/21/2015@ BOSL 99 - 113Y1.80MIN35:0625016213.571141.00092425.8 
12/20/2015@ BKNW 100 - 85Y0.88MIN28:0724010112.526191.00042337.3 
12/18/2015SACW 99 - 95Y-0.24MIN23:511518001.545111.00024529.7 
12/16/2015@ NYKL 102 - 107Y0.29MIN32:2625210000.524211.00012430.4 
12/15/2015DENL 100 - 112Y1.21MIN28:031806112.71471.00080418.1 
12/13/2015@ PHOL 101 - 108Y-0.34MIN18:24806201.5008.00001321.2 
12/11/2015@ DENL 108 - 111Y0.89MIN31:271409123.545111.00022421.7 
12/9/2015LALW 123 - 122Y0.83MIN34:5826014103.57919.66762529.4 
12/7/2015LACL 106 - 110Y0.63MIN29:241835202.7789.50022617.0 
12/5/2015PORL 103 - 109Y1.01MIN31:5027112202.61921.00003433.2 
12/1/2015ORLL 93 - 96Y-1.06MIN22:12606012.18211.50041327.5 
11/29/2015@ LACL 99 - 107Y0.66MIN26:101718031.61513.00021325.7 
11/27/2015@ SACW 101 - 91Y-0.11MIN21:20718002.6005.00002015.5 
11/25/2015ATLW 99 - 95Y-0.72MIN22:21606101.5006.00003018.2 
11/23/2015PHIW 100 - 95Y-0.20MIN19:06602012.4297.00000416.6 
11/20/2015DETL 86 - 96Y1.57MIN27:531807332.800101.00022420.9 
11/18/2015@ ORLL 101 - 104Y1.21MIN37:2121012006.66712.83364223.3 
11/17/2015@ MIAW 103 - 91Y0.31MIN26:0214014021.500121.00024425.9 
11/15/2015MEML 106 - 114Y-0.23MIN31:341409101.455111.00043423.0 
11/13/2015@ INDL 103 - 107Y0.27MIN27:111209110.55691.00020016.8 
11/12/2015GSWL 116 - 129Y-0.58MIN30:1417011010.46715.75045230.1 
11/10/2015CHAL 95 - 104Y0.88MIN30:1019013213.438161.00052329.4 
11/9/2015@ ATLW 117 - 107Y0.85MIN31:4917012103.7147.87582317.3 
11/7/2015@ CHIW 102 - 93Y1.07MIN26:4717013214.444181.00010429.5 
11/5/2015MIAL 84 - 96Y-0.71MIN22:10604103.23113.00000325.6 
11/2/2015PORL 101 - 106Y-0.03MIN26:561115004.5569.00004520.7 
10/30/2015@ DENW 95 - 78Y1.59MIN33:1228014204.57919.85771331.2 
10/28/2015@ LALW 112 - 111Y-0.10MIN31:5314012100.600101.00023419.5