Andrew Wiggins - MIN - F

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TeamMIN
Age22
Draft2014 (Pick 1)
NBA Salary$6,006,600
Projection Updated4/12/2017

Related Articles (5)

73.4d
trakis13
0% (4) agree 
I agree somewhat due to safe minutes and huge upside BUT, bb has Zeller at a similar projection overall. My dilemma is actually Wiggins or Zeller and Trevor Booker (16-team)
73.4d
kylemckeown16
100% (4) agree 
trakis13 -- Wiggins, 1,000 percent.
73.4d
trakis13
83% (6) agree 
9cat roto: Wiggins (UP) , Zeller (DOWN)
111.8d
jkentro
0% (9) agree 
UP:Wiggins,Gary Harris DOWN:Klay Thompson
123.1d
mchilson21
29% (14) agree 
Markieff Morris (up) Wiggins (down) punt fg
125.8d
trakis13
60% (15) agree 
Garry Harris (Up), Wiggins(down) ? (9-cat ROTO)
130.0d
jbs5635
100% (2) agree 
It's only been 3 games, so that seems a bit premature. Previous 4 before this he had zero combined st/bl and recently went 12 games without a block. Basically, I need to see more.
130.0d
Martiaci
50% (2) agree 
Looks like he's starting to reach his defensive potential ...
130.3d
kylemckeown16
0% (1) agree 
big3 -- I'd go Wiggins because of his scoring, which is likely much harder to replace than most of what Dieng offers.
130.3d
big3
8 cat roto league, wiggins or Georgi Dieng ROS?
137.3d
kylemckeown16
100% (1) agree 
Davepaiser -- In general, I would want Wiggins, mainly because his minutes are more secure for the long term.
137.3d
Davepaiser
50% (6) agree 
wiggins for Lou williams..up or down??
151.0d
dl22
100% (2) agree 
We should keep in mind that we're 5 weeks in to the Thibs era. The evolution of this team and it's players will take some time.
151.0d
BlazersFan
Do we think Wiggins is ever going to start adding any other stats other than scoring and the occasional threes? He just doesn't seem to have that killer instinct that the great players have, and seems to glide along on raw talent along. I was hoping Thibs was going to get it out of him this season, but I'm worried that what you see is what you're going to get with him.
155.0d
gehrenberg
100% (3) agree 
I don't think he's a good buy low candidate. He's much better in real life than fantasy he puts up hollow stat lines. It's a slump but if he isn't hitting shots he adds nothing.
155.0d
cloudstah
100% (1) agree 
Time to buy low? How low?
155.1d
trakis13
I haven't watched the games, is he on a slump or is it that the defence has adjusted, and the fact that he doesn't know passes exist doesn't help him?
155.1d
overnerd
100% (5) agree 
I'm taking full responsibility for this. Almost as soon as I added my comment his form plummeted. The fantasy gods punish hubris. My sincerest apologies to Andrew and all his fantasy owners.
155.5d
gehrenberg
100% (6) agree 
This has to be the fastest somebody has ever regressed to the mean. The sell high window is closed shut
161.6d
overnerd
75% (4) agree 
Or after 11 games you could start to trust that he's put in the effort over the off season to improve his game, which is resulting in him being able to convert at a higher rate. I agree that his current 3PT% is probably not sustainable, but his over all FG% improvement is only partially about that. Watching him its clear that he's taken another step this year and become a nightmare matchup for almost any defender.
161.7d
joshlloyd48
big3, we can do that, but we could also substitute his career 3pt% and fg%. I don't believe he shoots threes at over 50% and that will cause some regression
161.8d
havingfunatworkh
100% (1) agree 
what type of ceiling does he have?
161.9d
big3
50% (2) agree 
Can't believe all the hate still. He just jumped from 80th in 8cat to 49th in one game while carrying uncharacteristic massive negative values in steals and FT. He hasn't even scratched the surface yet. Take his current numbers and substitute his career averages in stl/blk (1.0/0.6)) and FT (.760) and you got a legit stud on your hands.
161.9d
gehrenberg
100% (3) agree 
There's a pretty decent divide between how good he currently is as a fantasy player vs real life player
161.9d
neph2727
In points, maybe. He doesn't do jack for anything else.
161.9d
Martiaci
0% (1) agree 
He's a monster - deserves a bump in his projections
162.0d
brendans
100% (2) agree 
gotta love 38 minutes considering they were up by 28 at half...
164.0d
gehrenberg
0% (4) agree 
Just from watching it's pretty apparent his stroke is improved over last year. He definitely won't shoot over 50% from three, but it's hard to know where his percentage will settle. I would guess 30 percent range
164.0d
javiers
What's going on with his 3pt percentages. A lot of practices offseason?
169.3d
big3
50% (6) agree 
With his improvement in his 3pt shooting stroke, and the eventual increase in STLs/BLKs, and FT I see him finishing inside the top 50, closer to Lloyd's initial projection for him. He's not a sell high in the slightest bit, if anything he's a buy low.
169.4d
Sephiroth_98
I traded him for Klay Thompson. He is a sell high player because he doesn't really do it all. managers will see his points and FGA and say "yes".
169.5d
Laynej3
Should I try to sell high with wiggins? or do we think he will continue with the assist rate once Rubio is back?
171.1d
tc2000
0% (3) agree 
wiggins for oladipo ??
185.2d
stevenomes
Are you in a punt pts build?
185.3d
joshlloyd48
I'm not sure how you are seeing that sort of ranking. I did look at his projection yesterday and reduced his 3pt attempt rate a little given his hesitancy in preseason from deep. What are your league settings?
185.3d
trakis13
Why is he suddenly ranked in 109 in the projections?
200.3d
joshlloyd48
100% (1) agree 
PPG jumped due to slight increase in minutes, third year leap forward, increased efficiency, progression of more trips to the line.
200.4d
widjayaman
Is his aggressive ppg bump basically the thibs effect? What was the analysis behind the FG increase the past 3 months of the season?
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
340-0.45Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
113-0.21NBA 16-17MIN8237.223.61.34.02.31.00.3.45219.1.7606.62.329.01.48-0.05-0.64-0.33-0.04-0.59-0.62-0.51-0.62
77-0.01Last MonthMIN936.628.11.73.82.01.00.2.46221.9.7788.01.932.52.250.40-0.72-0.47-0.01-0.82-0.33-0.24-0.15
145-0.31Last 2 MonthsMIN2337.124.11.33.61.91.10.3.42220.4.7687.32.030.71.57-0.05-0.81-0.530.32-0.74-1.80-0.41-0.33
64-0.02Last 3 MonthsMIN3637.425.61.33.62.21.30.3.45620.6.7857.02.130.61.830.03-0.79-0.390.70-0.61-0.52-0.08-0.38
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
115-0.20NBA 15-16MIN8135.120.70.73.62.01.00.6.45916.0.7617.02.227.31.26-0.43-0.85-0.47-0.16-0.21-0.19-0.24-0.55
130-0.25NBA 14-15MIN8236.216.90.54.62.11.00.6.43613.9.7605.72.122.40.61-0.63-0.42-0.400.08-0.11-0.68-0.21-0.51
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
DNQ-0.52Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
231-0.33NBA 16-17MIN8237.222.81.23.92.21.00.3.45218.5.7606.42.229.00.96-0.27-0.86-0.58-0.45-0.69-0.48-0.45-0.11
129-0.12Last MonthMIN936.627.71.63.72.01.00.2.46221.5.7787.91.932.51.900.11-0.90-0.70-0.41-0.80-0.32-0.310.30
246-0.38Last 2 MonthsMIN2337.123.41.23.51.81.10.3.42219.8.7687.12.030.71.07-0.26-0.96-0.77-0.25-0.77-1.19-0.410.16
151-0.18Last 3 MonthsMIN3637.424.71.33.52.11.20.3.45619.9.7856.72.030.61.33-0.21-0.95-0.64-0.06-0.70-0.43-0.130.13
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
239-0.33NBA 15-16MIN8135.121.20.73.72.11.00.6.45916.4.7617.12.327.30.88-0.41-1.24-0.49-0.39-0.51-0.28-0.29-0.23
285-0.41NBA 14-15MIN8236.216.80.54.52.11.00.6.43613.8.7605.72.122.4-0.12-0.73-0.79-0.57-0.43-0.30-0.43-0.21-0.10
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
340-0.32Projection 16-17MINSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
85-0.13NBA 16-17MIN823048:211,9331033291908128.4521,567.76054218829.01.710.09-0.46-0.220.18-0.52-0.65-0.51-0.82
88-0.16Last MonthMIN9329:1325315341892.462197.778721732.51.350.13-0.79-0.51-0.23-0.81-0.32-0.280.02
154-0.33Last 2 MonthsMIN23853:36554298243266.422469.7681684730.71.31-0.05-0.87-0.510.21-0.77-1.65-0.36-0.26
590.00Last 3 MonthsMIN361344:4192348130794612.456743.7852517530.61.880.12-0.72-0.320.77-0.60-0.61-0.03-0.49
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
78-0.11NBA 15-16MIN812845:021,675572941647846.4591,294.76156518227.31.65-0.35-0.66-0.350.10-0.08-0.13-0.29-0.85
88-0.13NBA 14-15MIN822968:481,387393741718550.4361,140.76046617622.41.23-0.57-0.11-0.260.410.08-0.79-0.22-0.92

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017@ HOUL 118 - 123Y-0.74MIN30:192122310.41217.71474233.9 
4/11/2017OKCL 98 - 100Y-0.92MIN37:061813421.31822.50062232.0 
4/9/2017@ LALL 109 - 110Y0.60MIN38:254122100.50026.929142239.2 
4/7/2017@ UTAL 113 - 120Y-0.30MIN37:052505000.381211.00091332.7 
4/6/2017@ PORL 98 - 105Y0.68MIN39:473618320.51927.77893237.5 
4/4/2017@ GSWL 107 - 121Y-0.08MIN29:322414230.45020.71474235.7 
4/3/2017PORW 110 - 109Y0.20MIN38:152933000.458241.00040130.5 
4/1/2017SACL 117 - 123Y0.35MIN39:083243301.65020.33361125.4 
3/30/2017LALW 119 - 104Y0.10MIN39:362714210.45020.800100425.9 
3/28/2017@ INDW 115 - 114Y-0.91MIN38:361725201.35317.75044225.9 
3/25/2017@ PORL 100 - 112Y-1.04MIN31:372000210.42119.57171135.4 
3/24/2017@ LALL 119 - 130Y0.70MIN44:173655211.50028.60052632.8 
3/21/2017SASL 93 - 100Y-0.36MIN36:062204410.33315.857142329.1 
3/19/2017@ NORL 109 - 123Y-0.38MIN36:362502220.52619.71475332.4 
3/17/2017@ MIAL 105 - 123Y-0.14MIN38:322613011.43523.83362233.1 
3/15/2017@ BOSL 104 - 117Y-1.15MIN39:132124400.39123.25041329.3 
3/13/2017WASW 119 - 104Y-0.92MIN39:021515101.33315.66761320.7 
3/11/2017@ MILL 95 - 102Y-1.13MIN37:161104110.23113.83362222.1 
3/10/2017GSWW 103 - 102Y-0.56MIN37:242414020.42921.71474332.9 
3/8/2017LACW 107 - 91Y-0.25MIN36:082002310.294171.000101127.5 
3/4/2017@ SASL 90 - 97Y-1.82MIN43:531704200.25024.83363530.6 
3/1/2017@ UTAW 107 - 80Y0.17MIN31:092012130.43816.83362031.5 
2/27/2017@ SACW 102 - 88Y0.79MIN34:342714140.45522.75080130.6 
2/25/2017@ HOUL 130 - 142Y0.26MIN36:353012230.50022.87586531.3 
2/24/2017DALW 97 - 84Y0.28MIN38:112717311.52421.80054334.2 
2/15/2017@ DENW 112 - 99Y1.05MIN37:374024220.57726.727111238.2 
2/14/2017CLEL 108 - 116Y1.31MIN41:074143210.55229.83360135.2 
2/12/2017CHIW 117 - 89Y1.12MIN33:372726421.52619.83361229.7 
2/10/2017NORL 106 - 122Y1.13MIN37:242914230.64717.85773027.6 
2/8/2017TORW 112 - 109Y1.27MIN37:323115621.57919.88993232.5 
2/6/2017MIAL 113 - 115Y0.56MIN36:482724020.478231.00031231.8 
2/4/2017MEML 99 - 107Y-0.50MIN37:192312511.40922.57171431.3 
2/3/2017@ DETL 108 - 116Y-0.56MIN40:112103100.400201.00051225.2 
2/1/2017@ CLEL 97 - 125Y-0.13MIN35:562322000.529171.00032224.4 
1/30/2017ORLW 111 - 105Y0.31MIN40:462713521.47621.75083130.8 
1/28/2017BKNW 129 - 109Y0.22MIN38:022313411.50018.80052424.1 
1/26/2017INDL 103 - 109Y-0.36MIN38:382115210.41217.85773327.1 
1/24/2017@ PHOW 112 - 111Y0.85MIN38:393126320.50022.87582131.2 
1/22/2017DENW 111 - 108Y0.20MIN38:482414411.52619.75043526.7 
1/19/2017@ LACW 104 - 101Y-0.03MIN38:032714401.47419.800102229.6 
1/17/2017@ SASL 114 - 122Y-1.04MIN38:291003310.3758.66763315.9 
1/15/2017@ DALL 87 - 98Y0.34MIN37:371918410.533151.00022122.6 
1/13/2017OKCW 96 - 86Y-0.60MIN36:161906111.409221.00014032.6 
1/11/2017HOUW 119 - 105Y0.18MIN37:572824201.55020.80053429.1 
1/9/2017DALW 101 - 92Y-1.54MIN35:591304000.45511.50063322.3 
1/7/2017UTAL 92 - 94Y-1.96MIN38:191615401.31619.42975432.5 
1/6/2017@ WASL 105 - 112Y0.74MIN39:224111220.53330.800102242.6 
1/3/2017@ PHIL 91 - 93Y-1.53MIN36:53805310.133151.00044224.7 
1/1/2017PORL 89 - 95Y-1.17MIN37:342415110.50020.42975132.0 
12/30/2016MILW 116 - 99Y0.76MIN39:053105610.55618.846131131.3 
12/28/2016@ DENL 103 - 105Y0.21MIN36:182525120.55020.25040026.4 
12/26/2016ATLW 104 - 90Y0.45MIN28:192144210.50014.75040225.9 
12/25/2016@ OKCL 100 - 112Y-0.78MIN36:042303220.50020.37581030.8 
12/23/2016SACL 105 - 109Y-1.39MIN39:471500101.31619.75042126.5 
12/21/2016@ ATLW 92 - 84Y-0.12MIN38:431907201.474191.00011223.7 
12/19/2016PHOW 115 - 108Y0.60MIN38:562614230.55020.75043526.3 
12/17/2016HOUL 109 - 111Y-0.01MIN43:351306531.29417.75041318.9 
12/13/2016@ CHIW 99 - 94Y0.75MIN39:222329311.47117.83360321.9 
12/11/2016GSWL 108 - 116Y-0.48MIN40:322525200.57114.700104223.4 
12/9/2016DETL 90 - 117Y-1.01MIN26:431612000.37516.75041033.8 
12/8/2016@ TORL 110 - 124Y-0.38MIN36:072516100.52619.66762529.0 
12/6/2016SASL 91 - 105Y-1.55MIN38:211105200.41712.33334420.9 
12/3/2016@ CHAW 125 - 120Y0.98MIN37:052921430.550201.00054329.6 
12/2/2016@ NYKL 114 - 118Y-0.10MIN35:501903410.42914.87581322.0 
11/30/2016NYKL 104 - 106Y-0.17MIN39:471937410.40020.00011223.7 
11/28/2016UTAL 103 - 112Y-0.94MIN34:281312400.37516.00002623.7 
11/26/2016@ GSWL 102 - 115Y-0.69MIN39:081613310.40015.75043122.5 
11/25/2016@ PHOW 98 - 85Y-0.34MIN40:452515100.38918.909112325.7 
11/23/2016@ NORL 96 - 117Y-1.85MIN30:371300010.10519.900102133.3 
11/21/2016BOSL 93 - 99Y-1.73MIN39:251404100.27818.66762124.8 
11/19/2016@ MEML 71 - 93Y-1.80MIN32:17704101.18211.75045129.0 
11/17/2016PHIW 110 - 86Y1.71MIN38:1835310410.700201.00043029.0 
11/15/2016CHAL 108 - 115Y-0.56MIN42:162932302.41724.66794131.4 
11/13/2016LALW 125 - 99Y1.12MIN41:064724301.66721.773222235.4 
11/12/2016LACL 105 - 119Y-0.63MIN36:462214310.333241.00053133.8 
11/9/2016@ ORLW 123 - 107Y0.26MIN38:352924600.55618.77892227.9 
11/8/2016@ BKNL 110 - 119Y-0.21MIN40:453668210.44829.50084235.1 
11/5/2016@ OKCL 92 - 112Y-1.42MIN26:47703111.23113.50023226.3 
11/3/2016DENL 99 - 102Y0.16MIN34:452523100.500181.00051325.3 
11/1/2016MEMW 116 - 80Y-0.63MIN29:141723400.54511.60053324.6 
10/29/2016@ SACL 103 - 106Y-0.47MIN36:512911001.52619.727113235.1 
10/26/2016@ MEML 98 - 102Y-0.41MIN34:292517001.50014.714142128.4 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016NORW 144 - 109Y0.27MIN33:102114002.57114.66760122.2 
4/11/2016HOUL 105 - 129Y-0.52MIN26:431201310.42971.00064321.7 
4/9/2016@ PORW 106 - 105Y-0.62MIN32:172303100.40922.83361436.1 
4/7/2016@ SACW 105 - 97Y-0.38MIN33:431514210.41712.80052220.9 
4/5/2016@ GSWW 124 - 117Y1.96MIN41:523225460.57919.88995029.6 
4/3/2016DALL 78 - 88Y1.07MIN41:043014220.571211.00052030.2 
4/1/2016@ UTAL 85 - 98Y-0.29MIN37:292422110.52421.00022331.2 
3/30/2016LACL 79 - 99Y-1.50MIN24:29710110.3339.00006327.0 
3/28/2016PHOW 121 - 116Y1.26MIN36:293235213.46213.810211026.5 
3/26/2016UTAL 84 - 93Y-1.03MIN32:581304200.33312.71471222.8 
3/25/2016@ WASW 132 - 129Y-0.24MIN43:211607310.286141.00082122.0 
3/23/2016SACW 113 - 104Y0.01MIN41:182304300.66715.50060018.3 
3/21/2016GSWL 104 - 109Y-0.12MIN40:472515411.38121.727111227.8 
3/18/2016@ HOUL 111 - 116Y0.90MIN36:242112530.667121.00044122.0 
3/16/2016@ MEMW 114 - 108Y-0.06MIN30:501623102.53813.00003325.2 
3/14/2016@ PHOL 104 - 107Y1.09MIN40:412204221.643141.00041217.3 
3/11/2016@ OKCW 99 - 96Y0.27MIN34:562020450.42119.50043230.5 
3/8/2016SASL 91 - 116Y-0.31MIN38:332318110.429211.00045133.5 
3/7/2016@ CHAL 103 - 108Y0.67MIN40:462515111.64717.66732122.5 
3/5/2016BKNW 132 - 118Y1.39MIN33:232624610.714141.00041324.9 
3/4/2016@ MILL 101 - 116Y-0.97MIN20:321012200.4297.75043122.6 
3/2/2016WASL 98 - 104Y-0.23MIN36:141702110.54511.83362219.1 
2/28/2016@ DALL 101 - 128Y-1.51MIN30:231504100.35714.62583227.0 
2/27/2016@ NORW 112 - 110Y0.19MIN36:392004411.333151.000102225.4 
2/24/2016@ TORL 105 - 114Y-0.66MIN31:542624310.47419.66796241.2 
2/22/2016BOSW 124 - 122Y-1.15MIN35:481701411.45511.583124323.0 
2/20/2016NYKL 95 - 103Y0.41MIN36:112425022.40020.75081232.1 
2/19/2016@ MEML 104 - 109Y0.58MIN33:442002510.500101.000101119.7 
2/10/2016TORW 117 - 112Y0.16MIN37:082603021.44418.769131530.2 
2/8/2016NORL 102 - 116Y-0.62MIN31:061500202.357141.00053227.3 
2/6/2016CHIW 112 - 105Y-0.38MIN32:572102200.47117.83361028.4 
2/3/2016@ LACW 108 - 102Y1.05MIN36:543134302.571211.00043331.7 
2/2/2016@ LALL 115 - 119Y0.87MIN41:103015112.65020.50061626.0 
1/31/2016@ PORL 93 - 96Y-1.79MIN34:531509200.16718.750123032.8 
1/29/2016@ UTAL 90 - 103Y-1.20MIN35:39500020.18211.50020215.7 
1/27/2016OKCL 123 - 126Y-0.33MIN37:182001400.57114.66761020.5 
1/25/2016@ CLEL 107 - 114Y0.27MIN38:422011121.50014.83362521.9 
1/23/2016MEMW 106 - 101Y0.54MIN33:501905101.700101.00051018.6 
1/20/2016@ DALL 94 - 106Y0.27MIN40:262317301.52917.80052424.8 
1/19/2016@ NORL 99 - 114Y0.10MIN34:332104230.41217.700100127.8 
1/17/2016PHOW 117 - 87Y0.17MIN28:091804400.615131.00021224.7 
1/15/2016@ OKCL 93 - 113Y-0.07MIN39:352503310.455221.00053330.4 
1/13/2016@ HOUL 104 - 107Y0.71MIN35:362822110.56316.88991325.0 
1/12/2016OKCL 96 - 101Y-0.59MIN34:402205210.42119.75083332.1 
1/10/2016DALL 87 - 93Y0.01MIN36:002117320.42119.80053130.4 
1/8/2016CLEL 99 - 125Y0.71MIN39:293532311.63219.667123132.2 
1/6/2016DENL 74 - 78Y-2.11MIN31:221103100.28614.50064034.4 
1/4/2016@ PHIL 99 - 109Y-0.16MIN25:061603212.4449.800103331.3 
1/2/2016MILL 85 - 95Y-0.59MIN35:011906131.41217.55694230.8 
12/31/2015@ DETL 90 - 115Y0.32MIN34:512113130.421191.00042228.4 
12/30/2015UTAW 94 - 80Y-0.64MIN40:491706410.35317.62580224.0 
12/28/2015@ SASL 95 - 101Y-1.42MIN37:221806120.44418.25083329.7 
12/26/2015INDL 88 - 102Y-0.52MIN37:401903110.50018.33331124.5 
12/23/2015SASL 83 - 108Y-1.79MIN31:041000400.18211.66792127.1 
12/21/2015@ BOSL 99 - 113Y-0.23MIN33:532613000.47117.900103432.5 
12/20/2015@ BKNW 100 - 85Y-0.48MIN31:381603011.54511.66763323.9 
12/18/2015SACW 99 - 95Y0.73MIN36:2532110600.55020.900104235.4 
12/16/2015@ NYKL 102 - 107Y-0.09MIN37:282305111.364221.00072330.4 
12/15/2015DENL 100 - 112Y-0.25MIN33:522311101.52917.80053331.4 
12/13/2015@ PHOL 101 - 108Y-1.05MIN27:271302100.5008.71473222.2 
12/11/2015@ DENL 108 - 111Y-0.34MIN34:372203111.47117.75083432.6 
12/9/2015LALW 123 - 122Y-0.42MIN36:071900200.438161.00051023.2 
12/7/2015LACL 106 - 110Y-1.85MIN30:44817011.20015.20052425.8 
12/5/2015PORL 103 - 109Y-0.47MIN40:121705001.40015.83361320.6 
12/1/2015ORLL 93 - 96Y0.18MIN36:152714201.60015.727112326.7 
11/29/2015@ LACL 99 - 107Y-0.33MIN37:582122211.46715.71474326.1 
11/27/2015@ SACW 101 - 91Y0.09MIN36:102216101.47117.83361426.7 
11/25/2015ATLW 99 - 95Y-1.03MIN35:441504130.29417.62583029.1 
11/23/2015PHIW 100 - 95Y1.12MIN38:173216312.47621.917122133.6 
11/20/2015DETL 86 - 96Y-1.06MIN36:192105300.41217.636112130.1 
11/18/2015@ ORLL 101 - 104Y0.32MIN38:122805102.47117.857142230.6 
11/17/2015@ MIAW 103 - 91Y0.01MIN32:592403131.38121.727111132.4 
11/15/2015MEML 106 - 114Y0.19MIN37:182111111.57114.80052223.0 
11/13/2015@ INDL 103 - 107Y-0.20MIN41:362612200.52619.83363327.0 
11/12/2015GSWL 116 - 129Y-0.64MIN34:431912500.41217.66761124.4 
11/10/2015CHAL 95 - 104MIN               
11/9/2015@ ATLW 117 - 107Y0.73MIN37:393315411.68222.50045133.4 
11/7/2015@ CHIW 102 - 93Y-0.64MIN41:013143201.40727.500101334.1 
11/5/2015MIAL 84 - 96Y-1.05MIN31:191214010.27818.50020126.4 
11/2/2015PORL 101 - 106Y-0.84MIN23:251606310.29417.85773243.2 
10/30/2015@ DENW 95 - 78Y-0.89MIN30:411804101.38513.800104230.8 
10/28/2015@ LALW 112 - 111Y-1.50MIN29:05901000.20010.83362322.7