Karl-Anthony Towns - MIN - F

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TeamMIN
Age21.9
Draft2015 (Pick 1)
NBA Salary$6,216,840
Projection Updated10/16/2017
Analyst CommentMonster in second half of last season and it wasn't all due to LaVine's absence, more an increase in efficiency.

Related Articles (19)

3.5h
richg248
83% (6) agree 
Towns and Rubio for sure. Towns = Giannis. Just depends on team build. They finished with essentially identical value. People will say that Giannis has a higher ceiling. I disagree. Towns is only in his 3rd year and his improvement from rookie to last year was massive. Giannis took longer to become a star. Rubio > Smart, by a very wide margin. So this is the dealbreaker.
4.0h
fbbaddict
100% (4) agree 
Very surprised with 3 downvotes. I would take Towns side all day long.
4.0h
charlie_brown102
100% (5) agree 
@xer09 please don't spam the player comments with trade questions. There is a dedicated forum for that.
4.1h
xer09
54% (13) agree 
My Greek Freak and Smart for Towns and Rubio.. Worth it?
2.9d
G00S3
0% (4) agree 
He fell to me in the first round in two of my money leagues. Bad idea to double-down like that?
6.7d
GDiama
100% (2) agree 
Hopefully he focuses more on improving his defense which is bad. He has the tools to get more than 1.3 blks he got last year. His per 36 projection for blocks remains lower than 15/16 season so it doesn't seem to be out of reach.
6.8d
theo156
Why did he get a bump in blocks?
8.4d
Keno
100% (8) agree 
Agree for Towns. Disagree/Down for a 2nd round pick(#17), 3rd pick(#24)+ Jrue Holiday as a keeper(#5th round value, keeps at round #9). Was offered this for Towns, thoughts?
10.4d
KOTUR
If that's the case, Your Championship week is week 24 in BBM as per the schedule grid. You can't go wrong with either of them but KAT can have more double double than Giannis.
10.5d
Keno
Mine says, " Week 21, 22 and 23 (6 teams) Note: Week 23 runs 7 days from Mar 26 to Apr 1" I had Giannis last year and loved him, I just wanted to get some thoughts from people though since it is a DD league.
10.5d
KOTUR
Assuming, you are not playing the "last week" of the regular season (10 days). Yahoo! other playoff schedule is Week 22 to Week 24. 334 for MIN, 344 for MIL.
10.5d
GDiama
Well i see schedule 3-3-4 on espn which is ok.
10.5d
InsideTheNBA
I’m in a very similar league my man and it the same exact draft position. I’m rolling with Giannis. Josh/Kyle both will more than likely tell you the same thing.
10.5d
Keno
I am using Yahoo, yea. our playoff schedule is Week 21, 22, and 23. So what is KAT's proper playoff sched? I was looking at the 2-3-3 from Weeks 21-23.
10.5d
KOTUR
100% (1) agree 
Are you using Yahoo! Keno? Please take note that BBM did not combine the 2 weeks of the all star game and count them 1 week each
10.5d
Keno
Josh it is week 21-23, Giannis has 3-3-4, KAT has 2-3-3. I had Giannis last season and absolutely loved him, just was thinking KAT might be the way to go for a DD specific league, but I do like Giannis's playoff sched a lot more.
10.6d
3ptslime
Would you then have second thoughts about taking KAT top 3 in a 12 man 9 cat h2h? Playoff weeks are 21-23.
10.7d
joshlloyd48
I think you do need to pay some attention to KAT's playoff schedule when players are so close at the top of the draft. It likely is very poor, but it depends on your league.
10.9d
Keno
64% (14) agree 
In a DD league, have the 4th pick overall, If Giannis or KAT are either available, I am grabbing one, but if both are somehow around still, which do I take? 10 Cat League, DD is a cat. Agree for KAT Disagree for Giannis
22.1d
joshlloyd48
100% (3) agree 
LaVine and Butler is a wash in terms of usage, and Butler being a better player should allow for KAT to keep up his increased efficiency from the second half of last season, which he achieved despite LaVine being absent and more focus being on him. Also, it'sd his third season and he will add things to his game. I have him taking fewer shots, but as he started last season so poorly with his shooting, I am thinking that won't be the case so he can achieve closr to 57% from the field, resulting in higher scoring. As for Teague, if anyone is sacrificing shots, it's going to be Teague, not Towns.
22.2d
theo156
I am not buying it either but Teague being a competent shooter and Butler being able to create for others might help KAT get better looks
22.2d
tremajj1
100% (1) agree 
I'm struggling to understand how replacing Rubio and Levine with Butler and Teague increases KAT scoring and efficiency. Can someone share the thought process behind this? Thanks!
22.3d
ballislife3
9-cat, weekly changes league, with 2 C spots. Leaning towards KAT @ 3 over KD and Harden. All amazing, but feel like my league settings are the tiebreaker. Agree?
25.1d
#58751
0% (1) agree 
Projection has Towns at 1.5 blks. Seems to be regressing in that category since rookie year.
39.2d
gehrenberg
100% (2) agree 
Their floor spacing sucked last year and it didn't impact him much. Arguably the floor spacing could be better is year if they play more small ball lineups and dont pair Dieng/KAT together as much
39.4d
SlamDuncan
0% (3) agree 
Is there any risk of a no-Rubio and lack of floor spacing situation limiting KAT at all this year?
42.0d
Vitamink78
100% (2) agree 
for our league playoff starts at week 22 (2 weeks combined due to all star week) so it is not a big problem, but it will be a problem if your playoff starts at week 21.
42.1d
xer09
50% (4) agree 
With the Wolves having a weak playoff schedule (8 games between week 21-23), anyone a bit put off by drafting him, even though he does have top 3 potential this year? Thoughts?
Per Game
RankValueNameTeamConfgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
60.71NBA 16-17MIN 8237.025.11.212.22.70.71.3.54218.0.8325.22.627.41.75-0.092.49-0.17-0.741.132.360.59-0.95
21.03Last MonthMIN 1737.928.61.512.32.20.90.6.57919.0.8965.62.127.62.340.242.51-0.40-0.33-0.013.771.61-0.41
20.96Last 2 MonthsMIN 2838.027.91.413.12.30.80.8.59218.8.8535.12.427.22.230.052.80-0.35-0.660.254.180.87-0.69
11.02Last 3 MonthsMIN 4338.228.21.312.72.40.81.1.59018.8.8495.62.527.62.27-0.012.66-0.30-0.440.784.110.89-0.81
RankValueNameTeamConfgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
120.47NBA 15-16MIN 8232.018.30.410.42.00.71.7.54314.0.8113.42.224.80.80-0.801.97-0.49-0.751.712.060.31-0.53
260.24NBA Preseason 17MIN 323.715.72.36.32.00.30.7.44111.31.0003.32.325.71.001.200.82-0.26-1.020.24-0.651.67-0.85
Per 36
RankValueNameTeamConfgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
110.25NBA 16-17MIN 8237.024.51.211.92.60.71.2.54217.6.8325.12.527.41.27-0.320.99-0.43-0.680.211.250.43-0.47
50.47Last MonthMIN 1737.927.21.511.72.10.80.6.57918.1.8965.42.027.61.80-0.090.94-0.65-0.52-0.392.001.080.07
40.40Last 2 MonthsMIN 2838.026.51.312.42.20.70.7.59217.8.8534.82.227.21.66-0.241.10-0.61-0.66-0.262.220.61-0.16
60.42Last 3 MonthsMIN 4338.226.61.212.02.30.81.0.59017.7.8495.22.327.61.69-0.291.00-0.58-0.580.002.180.61-0.26
RankValueNameTeamConfgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
90.24NBA 15-16MIN 8232.020.60.411.72.20.81.9.54315.8.8113.82.524.80.75-0.671.25-0.43-0.620.801.170.39-0.45
126-0.19NBA Preseason 17MIN 323.723.83.69.63.00.51.0.44117.21.0005.13.625.70.020.550.08-0.38-0.71-0.11-0.520.04-0.69
Totals
RankValueNameTeamConfgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
30.91NBA 16-17MIN 823,031.02,0611011,00422059103.5421,480.83242821227.42.190.102.88-0.02-0.451.502.650.65-1.29
11.22Last MonthMIN 17643.648626209371511.579323.896963627.63.050.473.17-0.270.040.213.351.81-0.87
11.09Last 2 MonthsMIN 281,063.378238366642122.592525.8531436627.22.610.233.27-0.27-0.410.473.940.92-0.97
11.19Last 3 MonthsMIN 431,640.61,213565461033646.590808.84923910627.62.730.153.23-0.21-0.131.163.910.91-1.07
RankValueNameTeamConfgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
80.66NBA 15-16MIN 822,626.11,5033085416158138.5431,152.81127518324.81.22-0.752.40-0.37-0.502.122.400.32-0.87
74-0.07NBA Preseason 17MIN 371.047719612.441341.00010725.7-0.110.500.04-0.57-1.26-0.11-0.461.290.01

Game Log
DateOppSummaryStartValueTeamConfminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017@ HOUL 118 - 123Y2.06MIN 36.228321310.706171.00010220.5 
4/11/2017OKCL 98 - 100Y0.79MIN 40.426212110.500201.00041225.3 
4/9/2017@ LALL 109 - 110Y2.00MIN 41.340121411.77322.62583330.3 
4/7/2017@ UTAL 113 - 120Y1.23MIN 31.732313210.571211.00053438.2 
4/6/2017@ PORL 98 - 105Y1.06MIN 38.924116411.500161.00073425.0 
4/4/2017@ GSWL 107 - 121Y1.23MIN 27.72116422.80010.80053221.5 
4/3/2017PORW 110 - 109Y0.90MIN 38.634012000.600251.00041232.0 
4/1/2017SACL 117 - 123Y0.12MIN 39.726111210.47117.900105427.6 
3/30/2017LALW 119 - 104Y0.86MIN 41.33229221.50022.800103530.4 
3/28/2017@ INDW 115 - 114Y1.91MIN 40.837312111.545221.000101129.6 
3/25/2017@ PORL 100 - 112Y-0.38MIN 31.21605001.54511.80052124.1 
3/24/2017@ LALL 119 - 130Y1.37MIN 42.725013412.579191.00031122.2 
3/21/2017SASL 93 - 100Y0.92MIN 39.425114112.47117.88992326.7 
3/19/2017@ NORL 109 - 123Y0.42MIN 39.53346210.51927.50023235.0 
3/17/2017@ MIAL 105 - 123Y0.92MIN 39.031111100.647171.00083328.2 
3/15/2017@ BOSL 104 - 117Y0.15MIN 40.417114400.500141.00022318.7 
3/13/2017WASW 119 - 104Y2.04MIN 35.139213210.654261.00030233.9 
3/11/2017@ MILL 95 - 102Y1.44MIN 40.135314112.66721.66764432.0 
3/10/2017GSWW 103 - 102Y0.06MIN 38.12329202.55618.33333425.4 
3/8/2017LACW 107 - 91Y1.04MIN 35.029114200.66721.00001327.7 
3/4/2017@ SASL 90 - 97Y0.51MIN 45.724014111.56316.75082421.3 
3/1/2017@ UTAW 107 - 80Y0.45MIN 35.121215301.563161.00014227.6 
2/27/2017@ SACW 102 - 88Y1.07MIN 38.029117203.68419.40052325.6 
2/25/2017@ HOUL 130 - 142Y2.05MIN 37.337122311.667241.00044229.5 
2/24/2017DALW 97 - 84Y0.37MIN 39.426018310.66718.66737132.2 
2/15/2017@ DENW 112 - 99Y0.74MIN 38.524119210.42119.87580226.3 
2/14/2017CLEL 108 - 116Y0.68MIN 38.52618401.579191.00032426.8 
2/12/2017CHIW 117 - 89Y0.98MIN 34.32207410.727111.00061119.2 
2/10/2017NORL 106 - 122Y0.75MIN 37.63618100.591221.00094534.8 
2/8/2017TORW 112 - 109Y1.83MIN 36.729014112.571141.000131326.7 
2/6/2017MIAL 113 - 115Y1.20MIN 37.83528021.65020.700102432.3 
2/4/2017MEML 99 - 107Y1.25MIN 38.127216211.53315.900102525.0 
2/3/2017@ DETL 108 - 116Y0.22MIN 33.424011101.57919.50040527.4 
2/1/2017@ CLEL 97 - 125Y1.53MIN 38.526212412.579191.00021023.2 
1/30/2017ORLW 111 - 105Y0.42MIN 44.923112703.44418.85775326.6 
1/28/2017BKNW 129 - 109Y1.55MIN 36.137213114.57726.62582136.0 
1/26/2017INDL 103 - 109Y1.41MIN 37.733410420.56523.75042232.2 
1/24/2017@ PHOW 112 - 111Y0.52MIN 38.618010221.58312.80053519.5 
1/22/2017DENW 111 - 108Y1.52MIN 40.132012714.68419.75086431.2 
1/19/2017@ LACW 104 - 101Y1.86MIN 40.637112510.708241.00022329.0 
1/17/2017@ SASL 114 - 122Y0.59MIN 42.627216001.556181.00055425.9 
1/15/2017@ DALL 87 - 98Y-0.10MIN 38.11819311.47117.50023226.4 
1/13/2017OKCW 96 - 86Y2.27MIN 36.629017123.647171.00072426.5 
1/11/2017HOUW 119 - 105Y0.92MIN 38.023018513.58817.75046328.6 
1/9/2017DALW 101 - 92Y2.40MIN 37.334211413.789191.00023429.8 
1/7/2017UTAL 92 - 94Y-0.17MIN 40.618115100.38513.87582420.6 
1/6/2017@ WASL 105 - 112Y-0.10MIN 37.818010511.41217.80053326.7 
1/3/2017@ PHIL 91 - 93Y0.42MIN 37.523115502.409221.00043231.8 
1/1/2017PORL 89 - 95Y-0.37MIN 33.611013611.200151.00053225.7 
12/30/2016MILW 116 - 99Y0.10MIN 38.318016302.58312.66764424.2 
12/28/2016@ DENL 103 - 105Y0.17MIN 34.7151111002.41217.00003124.9 
12/26/2016ATLW 104 - 90Y1.96MIN 30.9223114031.00081.00031515.3 
12/25/2016@ OKCL 100 - 112Y-0.09MIN 32.32608000.500201.00063136.2 
12/23/2016SACL 105 - 109Y0.21MIN 37.520113500.46715.83361122.9 
12/21/2016@ ATLW 92 - 84Y-0.41MIN 37.317018501.43816.75046329.0 
12/19/2016PHOW 115 - 108Y1.13MIN 34.828115302.611181.00054428.6 
12/17/2016HOUL 109 - 111Y0.72MIN 43.041115501.53628.833126438.5 
12/13/2016@ CHIW 99 - 94Y-0.43MIN 38.816112213.28621.75044129.9 
12/11/2016GSWL 108 - 116Y0.59MIN 39.525118200.60015.75081321.5 
12/9/2016DETL 90 - 117Y-0.91MIN 31.614012101.50012.50045328.5 
12/8/2016@ TORL 110 - 124Y-0.15MIN 34.717111101.50016.00003424.0 
12/6/2016SASL 91 - 105Y-0.34MIN 37.311114411.188161.00042324.4 
12/3/2016@ CHAW 125 - 120Y0.97MIN 34.527015112.455221.00072333.3 
12/2/2016@ NYKL 114 - 118Y-0.29MIN 30.12038103.27818.87584436.4 
11/30/2016NYKL 104 - 106Y2.42MIN 41.547018213.68222.850204236.6 
11/28/2016UTAL 103 - 112Y0.43MIN 34.019112111.421191.00020526.1 
11/26/2016@ GSWL 102 - 115Y0.47MIN 34.61819331.38121.50020127.7 
11/25/2016@ PHOW 98 - 85Y0.06MIN 35.422210411.42119.80054230.6 
11/23/2016@ NORL 96 - 117Y-0.05MIN 26.89111312.36411.00003321.1 
11/21/2016BOSL 93 - 99Y0.82MIN 38.327218302.57919.50061325.4 
11/19/2016@ MEML 71 - 93Y-0.35MIN 27.91733001.60010.50042525.7 
11/17/2016PHIW 110 - 86Y0.99MIN 38.425110002.66718.00001222.3 
11/15/2016CHAL 108 - 115Y-0.28MIN 37.12138401.39123.00003229.0 
11/13/2016LALW 125 - 99Y-1.05MIN 38.922212201.31822.600102332.4 
11/12/2016LACL 105 - 119Y0.93MIN 33.324110222.55618.75043529.5 
11/9/2016@ ORLW 123 - 107Y0.97MIN 40.720111121.438161.00050320.1 
11/8/2016@ BKNL 110 - 119Y0.25MIN 32.02117401.533151.00043524.3 
11/5/2016@ OKCL 92 - 112Y0.78MIN 30.93336001.65020.80053134.2 
11/3/2016DENL 99 - 102Y1.40MIN 37.532214212.57919.800102427.9 
11/1/2016MEMW 116 - 80Y-0.28MIN 30.011010411.40010.75043121.6 
10/29/2016@ SACL 103 - 106Y0.19MIN 37.11516421.53813.00021519.5 
10/26/2016@ MEML 98 - 102Y0.25MIN 36.52124511.450201.00012327.1 
DateOppSummaryStartValueTeamConfminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016NORW 144 - 109Y1.86MIN 32.028214312.706171.00023328.7 
4/11/2016HOUL 105 - 129Y-0.36MIN 27.51205111.40015.00001325.4 
4/9/2016@ PORW 106 - 105Y0.97MIN 38.02709202.65020.50021226.0 
4/7/2016@ SACW 105 - 97Y-0.08MIN 27.317110311.37516.66761231.8 
4/5/2016@ GSWW 124 - 117Y-0.39MIN 44.720012402.44418.50082523.2 
4/3/2016DALL 78 - 88Y0.51MIN 44.411021913.385131.00016321.7 
4/1/2016@ UTAL 85 - 98Y-0.25MIN 35.117111301.40015.80053227.9 
3/30/2016LACL 79 - 99Y-0.07MIN 23.516211100.53813.00003230.1 
3/28/2016PHOW 121 - 116Y1.50MIN 38.427110520.556181.00061323.3 
3/26/2016UTAL 84 - 93Y0.83MIN 34.214011122.500121.00021219.1 
3/25/2016@ WASW 132 - 129Y0.72MIN 47.627110510.571211.00024326.1 
3/23/2016SACW 113 - 104Y1.21MIN 29.226011204.64717.80053532.6 
3/21/2016GSWL 104 - 109Y0.46MIN 38.324111201.57919.50022524.4 
3/18/2016@ HOUL 111 - 116Y1.55MIN 40.032011121.59122.85771229.1 
3/16/2016@ MEMW 114 - 108Y0.76MIN 39.718010421.6258.88994319.5 
3/14/2016@ PHOL 104 - 107Y-0.36MIN 35.117010210.46213.71473323.1 
3/11/2016@ OKCW 99 - 96Y0.40MIN 38.717012013.53315.50023321.8 
3/8/2016SASL 91 - 116Y-0.46MIN 35.71909100.52917.50023127.3 
3/7/2016@ CHAL 103 - 108Y1.56MIN 38.428014212.61118.85771326.4 
3/5/2016BKNW 132 - 118Y1.96MIN 38.42806723.77818.00004428.3 
3/4/2016@ MILL 101 - 116Y0.37MIN 21.92117201.71414.00004133.0 
3/2/2016WASL 98 - 104Y0.46MIN 39.814015512.417121.00044419.6 
2/28/2016@ DALL 101 - 128Y-0.68MIN 25.912011300.6679.00024321.0 
2/27/2016@ NORW 112 - 110Y1.28MIN 35.230015421.65020.50081330.8 
2/24/2016@ TORL 105 - 114Y-0.54MIN 37.31606010.38513.75081521.5 
2/22/2016BOSW 124 - 122Y0.93MIN 36.428113402.59122.50023229.3 
2/20/2016NYKL 95 - 103Y0.80MIN 41.32408413.43523.80050228.9 
2/19/2016@ MEML 104 - 109Y-0.08MIN 35.511115312.267151.00023422.8 
2/10/2016TORW 117 - 112Y1.80MIN 35.435011103.63219.846130431.9 
2/8/2016NORL 102 - 116Y0.29MIN 29.319012101.60010.87583325.1 
2/6/2016CHIW 112 - 105Y1.48MIN 40.926017103.632191.00022324.2 
2/3/2016@ LACW 108 - 102Y0.22MIN 31.117112201.438161.00021426.3 
2/2/2016@ LALL 115 - 119Y0.41MIN 32.01419202.6679.50021315.3 
1/31/2016@ PORL 93 - 96Y0.78MIN 38.521113223.50018.50043025.5 
1/29/2016@ UTAL 90 - 103Y1.56MIN 36.132112111.765171.00055131.9 
1/27/2016OKCL 123 - 126Y0.96MIN 33.819013503.533151.00032123.1 
1/25/2016@ CLEL 107 - 114Y1.22MIN 29.826011411.68816.80052330.9 
1/23/2016MEMW 106 - 101Y0.84MIN 31.114093111.00061.00022313.7 
1/20/2016@ DALL 94 - 106Y2.21MIN 36.827117316.63219.66733329.5 
1/19/2016@ NORL 99 - 114Y0.13MIN 32.020113211.412171.00055234.4 
1/17/2016PHOW 117 - 87Y0.85MIN 26.01418113.62581.00032220.3 
1/15/2016@ OKCL 93 - 113Y-0.85MIN 29.69012100.308131.00012523.0 
1/13/2016@ HOUL 104 - 107Y0.20MIN 33.412116320.40010.75043219.2 
1/12/2016OKCL 96 - 101Y-0.59MIN 28.414010100.429141.00023128.1 
1/10/2016DALL 87 - 93Y-0.02MIN 25.11004112.5569.00002319.9 
1/8/2016CLEL 99 - 125Y0.57MIN 35.32206300.78614.00002321.0 
1/6/2016DENL 74 - 78Y0.44MIN 32.114014202.429141.00020224.1 
1/4/2016@ PHIL 99 - 109Y-0.45MIN 24.6806100.5008.00000415.3 
1/2/2016MILL 85 - 95Y-0.27MIN 26.28010213.23517.00000128.3 
12/31/2015@ DETL 90 - 115Y0.52MIN 35.12209301.588171.00022224.8 
12/30/2015UTAW 94 - 80Y0.48MIN 31.525010112.62516.62583233.8 
12/28/2015@ SASL 95 - 101Y0.00MIN 31.110012110.5717.66731513.5 
12/26/2015INDL 88 - 102Y0.37MIN 40.02408311.62516.80055426.5 
12/23/2015SASL 83 - 108Y-0.72MIN 34.010011100.333121.00022321.7 
12/21/2015@ BOSL 99 - 113Y1.80MIN 35.125016213.571141.00092425.8 
12/20/2015@ BKNW 100 - 85Y0.88MIN 28.124010112.526191.00042337.3 
12/18/2015SACW 99 - 95Y-0.24MIN 23.91518001.545111.00024529.7 
12/16/2015@ NYKL 102 - 107Y0.29MIN 32.425210000.524211.00012430.4 
12/15/2015DENL 100 - 112Y1.21MIN 28.11806112.71471.00080418.1 
12/13/2015@ PHOL 101 - 108Y-0.34MIN 18.4806201.5008.00001321.2 
12/11/2015@ DENL 108 - 111Y0.89MIN 31.51409123.545111.00022421.7 
12/9/2015LALW 123 - 122Y0.83MIN 35.026014103.57919.66762529.4 
12/7/2015LACL 106 - 110Y0.63MIN 29.41835202.7789.50022617.0 
12/5/2015PORL 103 - 109Y1.01MIN 31.827112202.61921.00003433.2 
12/1/2015ORLL 93 - 96Y-1.06MIN 22.2606012.18211.50041327.5 
11/29/2015@ LACL 99 - 107Y0.66MIN 26.21718031.61513.00021325.7 
11/27/2015@ SACW 101 - 91Y-0.11MIN 21.3718002.6005.00002015.5 
11/25/2015ATLW 99 - 95Y-0.72MIN 22.4606101.5006.00003018.2 
11/23/2015PHIW 100 - 95Y-0.20MIN 19.1602012.4297.00000416.6 
11/20/2015DETL 86 - 96Y1.57MIN 27.91807332.800101.00022420.9 
11/18/2015@ ORLL 101 - 104Y1.21MIN 37.421012006.66712.83364223.3 
11/17/2015@ MIAW 103 - 91Y0.31MIN 26.014014021.500121.00024425.9 
11/15/2015MEML 106 - 114Y-0.23MIN 31.61409101.455111.00043423.0 
11/13/2015@ INDL 103 - 107Y0.27MIN 27.21209110.55691.00020016.8 
11/12/2015GSWL 116 - 129Y-0.58MIN 30.217011010.46715.75045230.1 
11/10/2015CHAL 95 - 104Y0.88MIN 30.219013213.438161.00052329.4 
11/9/2015@ ATLW 117 - 107Y0.85MIN 31.817012103.7147.87582317.3 
11/7/2015@ CHIW 102 - 93Y1.07MIN 26.817013214.444181.00010429.5 
11/5/2015MIAL 84 - 96Y-0.71MIN 22.2604103.23113.00000325.6 
11/2/2015PORL 101 - 106Y-0.03MIN 26.91115004.5569.00004520.7 
10/30/2015@ DENW 95 - 78Y1.59MIN 33.228014204.57919.85771331.2 
10/28/2015@ LALW 112 - 111Y-0.10MIN 31.914012100.600101.00023419.5