Rudy Gobert - UTA - C

 Open Historical Profile
TeamUTA
Age24
Draft2013 (Pick 27)
NBA Salary$2,121,287
Projection Updated3/23/2017

Related Articles (20)

10.2d ago Open link
Questionable Questionable Monday vs LAC (right leg soreness)
He went through shootaround but will be a game-time decision.
12.0d ago Open link
Probable Probable Monday vs LAC (right leg soreness)
He said he expects to play Monday vs LAC.
10.3d
al3b3d3v
0% (1) agree 
no results on the MRI from the weekend, can there be something here where we may need to lock on to Jeff Whithey ?
42.1d
dl22
0% (1) agree 
Take the trade 100% for the pure value of it, not sure Markieff can sustain his production and who knows whats happening to Brook (rest, shut-down, trade?). Tyler Johnson is still shaking the rust off but he's locked in to being a top 100 player if not better ROS. Even after that trade you can probably stream 3s and stay competitive in the category.
42.2d
#38739
75% (8) agree 
Someone in my league (14 teams, h2h 9cat) just suggested me Gobert and Tyler Johnson for Brook Lopez and Markief. If I'll agree I'll punt 3's. Go for it (UP) or stay put (Down)?
77.3d
vtec1jk
100% (2) agree 
The Jazz have really done a great job with getting him mins and involved on the offensive side. Great breakout year for Goebert. I think projection needs to be adjusted for FGA to 6.5 as he is getting plays called slightly more frequent this season.
84.2d
theo156
71% (14) agree 
Rudy Gobert (UP), Gallinari & Valanciunas (DOWN)
94.1d
ball_is_life
100% (4) agree 
If I'm not mistaken in the per-36 stat lines is assuming all players are playing 36 min. So a player that is playing close to 36 min as is will not get the same bump that an efficient player playing in the teens would get and likely will drop in the rankings below the aforementioned efficient player.
94.2d
LGLP86
Can you explain why the per-36 statline are differ from the per-game statline? The data for per-36 sugguest a much higher rank than 102? What is the logic behind it?
94.3d
kslight
100% (1) agree 
He has been updated regularly, and he's not far off from his current season stats. He's been on fire lately, with an 82% FG% the last two weeks which boosts his recent value. We have him at 61.9%, and he was 55.9% last season.
94.3d
markhollander
I think his recent play suggests he should get a bump in projections. He has been well out playing his projection for a solid 2 weeks
95.3d
ball_is_life
100% (1) agree 
Is his improved FT% sustainable?
102.4d
benrv21
hey Mark...yeah hes rolling right now...love to see him continue it when favors/hill are back in lineup.
102.7d
markhollander
Benrv21....is this what you had in mind. 15/14/3.5 over the last 2 weeks
104.4d
benrv21
man i know the whole team is injured but wondering if this is giving him the chance to have more scoring opportunities going foward...would be nice to see closer to 12-13ppg
106.1d
kylemckeown16
seanmcfadden - Thanks for the nudge. We'll take a look at it.
106.1d
seanmcfadden
50% (2) agree 
Have to bump his FT% to at least 65% if not higher
107.4d
benrv21
pts/rebs would come down but i think he could avg 3 blks...over last 2 weeks hes at 3.3
112.3d
farmhill
12% (8) agree 
I don't think it's unreasonable to think his pts rate comes down when favors returns and that his %s regress a little. He's a sell high right now
112.3d
lewanddowski
100% (2) agree 
Struggling to understand this projection as well,, the low fg% especially. He looks like the DOPY out there, putting up massive lines in the middle. I can't see Favors return having this much an impact.
113.8d
trakis13
86% (7) agree 
Why is he ranked so low considering his performance so far?
138.8d
rfmc02
tough night for the big guy. hoping he picks up his scoring as well.
153.1d
gehrenberg
I think he will shoot better than 56% this year, so yes improved over last year. But it's hard to see him leap all the way to 70%
153.1d
big3
Anyone buying his FT improvement? even 70% would probably launch him top 30 in 8 cat.
166.7d
LordPedro
100% (1) agree 
any bump in Blake's 3 pt shooting?
168.6d
joshlloyd48
He did also improve his FT% in EuroBasket last year and then reverted back to terribleness when the NBA season rolled around, so I am looking at it, but I'm holding off adjusting it just yet. But, when you draft, if you fully believe it has been rectified, consider that in your selection.
168.7d
Houndie
0% (1) agree 
Preseason shouldn't change the improved FT%.
168.8d
dl22
Agreed, I think the full on break-out may have just been delayed a season due to injury and NBA coaching staffs adjusting to him last year. Looks great so far, but small asterisk due to preseason.
168.8d
mooreafbc
100% (1) agree 
Rudy's FT form looked much improved on Monday before he missed 3 in a row to finish 4/7 and doing great tonight hitting all 10 FTs in the first half. Hopefully he can turn it around after regressing last year.
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
150.45Projection 16-17UTASubscribe now to view 2016-17 Projection
220.33Short-term (4/12)UTA1036.014.00.013.71.40.62.6.6228.1.6416.12.116.9-0.07-1.353.05-0.73-0.913.782.11-2.45-0.46
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
180.38NBA 16-17UTA7133.813.50.012.81.20.72.6.6577.4.6585.81.916.4-0.22-1.412.69-0.83-0.863.752.50-2.01-0.16
51.23Last WeekUTA436.921.00.014.81.80.84.8.70012.5.5606.31.820.71.05-1.413.42-0.59-0.647.795.21-3.780.01
30.88Last 2 WeeksUTA636.717.80.013.02.50.54.0.72610.3.5485.22.018.20.51-1.412.76-0.25-1.266.364.79-3.29-0.27
70.66Last MonthUTA1435.016.00.013.41.90.63.1.7028.9.6415.62.117.60.20-1.412.93-0.50-1.084.743.71-2.18-0.44
190.44Last 2 MonthsUTA2734.114.80.012.81.60.52.7.6488.5.6625.72.017.70.00-1.412.69-0.64-1.223.982.73-1.91-0.27
190.39Last 3 MonthsUTA4134.714.30.013.51.40.72.6.6358.3.6475.92.117.3-0.08-1.412.96-0.73-0.743.632.47-2.20-0.38
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
67-0.04NBA 15-16UTA6131.79.10.011.01.50.72.1.5595.8.5694.61.914.3-0.99-1.202.20-0.72-0.682.481.04-2.36-0.08
450.12NBA 14-15UTA8226.38.40.09.51.30.82.3.6045.2.6233.31.414.0-1.23-1.191.51-0.77-0.512.721.34-1.350.56
371-0.78NBA 13-14UTA459.62.30.03.40.20.20.9.4861.6.4921.40.717.1-2.53-1.26-0.81-1.36-1.920.500.04-1.161.53
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
54-0.02Projection 16-17UTASubscribe now to view 2016-17 Projection
68-0.05Short-term (4/12)UTA1036.014.00.013.71.40.62.6.6228.1.6416.12.116.9-0.64-1.252.11-0.88-1.082.351.56-2.52-0.12
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
93-0.13NBA 16-17UTA7133.814.40.013.61.30.72.8.6577.9.6586.22.016.4-0.67-1.311.34-0.96-0.891.891.28-1.900.08
230.29Last WeekUTA436.920.50.014.41.70.74.6.70012.2.5606.11.720.70.45-1.311.51-0.78-0.853.882.54-3.210.41
420.09Last 2 WeeksUTA636.717.50.012.72.40.53.9.72610.1.5485.12.018.2-0.10-1.311.14-0.47-1.223.112.34-2.760.15
510.02Last MonthUTA1435.016.50.013.82.00.63.2.7029.1.6415.72.217.6-0.29-1.311.38-0.67-1.072.371.88-1.97-0.11
84-0.08Last 2 MonthsUTA2734.115.60.013.51.70.52.9.6489.0.6626.02.117.7-0.45-1.311.31-0.78-1.132.001.40-1.79-0.01
123-0.15Last 3 MonthsUTA4134.714.90.014.01.50.72.7.6358.6.6476.12.217.3-0.58-1.311.43-0.87-0.851.751.23-2.02-0.08
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
231-0.32NBA 15-16UTA6131.710.40.012.41.70.82.4.5596.6.5695.32.114.3-1.50-1.011.48-0.66-0.571.330.55-2.44-0.04
71-0.07NBA 14-15UTA8226.311.40.012.91.81.13.1.6047.1.6234.61.914.0-1.36-1.141.72-0.69-0.361.600.84-1.430.24
DNQ-0.52NBA 13-14UTA459.68.60.012.90.60.73.4.4866.1.4925.42.717.1-1.91-1.091.80-1.23-0.843.140.08-3.89-0.71
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
240.29Projection 16-17UTASubscribe now to view 2016-17 Projection
320.21Short-term (4/12)UTA10360:00140013714626.62281.641612116.9-0.28-1.362.58-0.78-1.043.341.94-2.28-0.24
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
120.55NBA 16-17UTA712399:5396109098547186.657525.65841213516.40.06-1.363.04-0.73-0.634.342.80-2.12-0.41
21.05Last WeekUTA4147:28840597319.70050.56025720.71.55-1.174.16-0.42-0.166.663.15-3.85-0.43
90.52Last 2 WeeksUTA6220:2910707815324.72662.548311218.20.24-1.312.09-0.35-1.024.593.04-2.40-0.16
70.67Last MonthUTA14489:34224018827844.702124.641783017.60.34-1.293.21-0.48-0.885.012.99-2.31-0.56
120.53Last 2 MonthsUTA27922:014000346441474.648230.6621545417.70.15-1.352.84-0.60-1.044.572.43-1.86-0.38
110.53Last 3 MonthsUTA411422:0158805545929105.635340.6472418617.30.10-1.363.20-0.66-0.544.372.37-2.22-0.51
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
106-0.17NBA 15-16UTA611932:0255706688945130.559354.56928311414.3-1.17-1.191.38-0.81-0.891.930.89-1.980.26
250.29NBA 14-15UTA822158:25686077610764188.604427.62327311114.0-0.91-1.211.94-0.68-0.243.321.68-1.520.27
348-0.82NBA 13-14UTA45433:4010401557841.48674.492653217.1-2.56-1.18-1.30-1.43-2.08-0.130.04-0.681.93

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
3/22/2017NYKW 108 - 101Y2.27UTA38:0535013114.92914.750122224.8 
3/20/2017@ INDL 100 - 107Y1.05UTA37:1016014308.58312.33361319.0 
3/18/2017@ CHIL 86 - 95Y0.12UTA35:2313013205.45511.50062620.0 
3/16/2017@ CLEL 83 - 91Y1.48UTA36:5020019122.76913.00012319.0 
3/15/2017@ DETW 97 - 83Y0.04UTA35:531209504.8336.40054216.3 
3/13/2017LACW 114 - 108Y0.34UTA37:0811010301.83361.0001149.9 
3/11/2017@ OKCL 104 - 112UTA               
3/8/2017@ HOUW 115 - 108Y0.64UTA36:0123010111.8758.750122419.2 
3/6/2017NORW 88 - 83Y1.21UTA35:5915015322.600101.00032416.6 
3/5/2017@ SACW 110 - 109Y1.36UTA41:2716024313.66712.00020314.3 
3/3/2017BKNW 112 - 97Y-0.43UTA33:0011070021.0004.50062312.2 
3/1/2017MINL 80 - 107Y-0.50UTA21:11908002.5717.50023322.8 
2/28/2017@ OKCL 106 - 109Y0.57UTA31:5813010003.66791.00011314.8 
2/26/2017@ WASW 102 - 92Y0.78UTA36:1115020314.4005.786144318.1 
2/24/2017@ MILW 109 - 95Y0.35UTA33:1815016203.7147.71474319.8 
2/15/2017PORW 111 - 88Y-0.07UTA32:2013012003.8005.62583216.5 
2/13/2017LACL 72 - 88Y-0.12UTA24:5110014101.41712.00000121.8 
2/11/2017BOSL 104 - 112Y0.35UTA33:4514014012.50010.80052518.2 
2/9/2017@ DALL 105 - 112Y0.06UTA35:5915015302.5569.83365621.6 
2/8/2017@ NORW 127 - 94Y0.26UTA29:5410016302.400101.00021318.1 
2/6/2017@ ATLW 120 - 95Y0.39UTA33:4514063131.0005.57172314.2 
2/4/2017CHAW 105 - 98Y0.17UTA37:478015223.4005.50081311.4 
2/1/2017MILW 104 - 88Y1.00UTA34:0726015111.69213.800102625.9 
1/28/2017MEML 95 - 102Y0.79UTA38:141509211.60051.00091414.3 
1/26/2017LALW 96 - 88Y0.95UTA37:319013006.5006.7504019.7 
1/24/2017@ DENL 93 - 103Y-0.91UTA24:471109101.5008.60054425.8 
1/23/2017OKCL 95 - 97Y-0.44UTA36:011209104.6258.28671315.5 
1/21/2017INDW 109 - 100Y0.15UTA33:2619011001.80010.60052118.4 
1/20/2017@ DALW 112 - 107Y0.77UTA41:2927025112.72711.647173323.6 
1/16/2017@ PHOW 106 - 101Y0.86UTA36:2718017114.66712.40052120.0 
1/14/2017ORLW 114 - 107Y1.06UTA36:0219019202.7789.71470114.6 
1/13/2017DETW 110 - 77Y0.49UTA30:596011113.7504.0000219.4 
1/10/2017CLEW 100 - 92Y0.65UTA36:2611014131.71471.00015315.3 
1/8/2017@ MEML 79 - 88Y-0.33UTA36:165013231.3333.50064312.9 
1/7/2017@ MINW 94 - 92Y0.75UTA31:1512013114.50010.66731519.2 
1/5/2017@ TORL 93 - 101Y0.29UTA35:4815016003.30010.900102321.7 
1/3/2017@ BOSL 104 - 115Y-0.27UTA34:198013001.37581.00021113.6 
1/2/2017@ BKNW 101 - 89Y0.13UTA37:3815016213.50010.55692418.3 
12/31/2016PHOW 91 - 86Y0.91UTA37:2418013003.8758.80052116.4 
12/29/2016PHIW 100 - 83Y-0.89UTA33:259013222.6005.273111115.8 
12/27/2016@ LALW 102 - 100Y-0.78UTA37:1512011112.6676.50086419.2 
12/23/2016TORL 98 - 104Y0.54UTA35:1713014110.71471.00031112.0 
12/21/2016SACL 93 - 94Y1.05UTA35:1117014113.6679.71470417.5 
12/20/2016@ GSWL 74 - 104Y0.11UTA31:0711016102.8336.33332313.4 
12/18/2016@ MEMW 82 - 73Y0.63UTA38:24210120131.0009.42973520.5 
12/16/2016DALW 103 - 100Y0.16UTA34:3016010111.5717.800102320.4 
12/14/2016OKCW 109 - 89Y1.43UTA29:34120120231.00051.00021511.9 
12/10/2016SACW 104 - 84Y1.54UTA35:3717014006.8336.87582414.4 
12/8/2016GSWL 99 - 106Y0.49UTA35:23200171011.0008.57172215.9 
12/6/2016PHOW 112 - 105Y1.16UTA38:1622011004.7508.909113219.5 
12/5/2016@ LALW 107 - 101Y0.57UTA38:5214017115.5717.545111415.1 
12/3/2016DENW 105 - 98Y0.25UTA36:487011112.7504.5002137.7 
12/1/2016MIAL 110 - 111Y0.42UTA35:236010103.7504.0000026.0 
11/29/2016HOUW 120 - 101Y0.50UTA33:2016014003.7147.75082218.9 
11/28/2016@ MINW 112 - 103Y0.39UTA34:2816017103.50010.75082420.6 
11/25/2016ATLW 95 - 68Y0.92UTA29:10100101051.0002.8577139.6 
11/23/2016DENW 108 - 83Y-0.22UTA32:0519013002.7508.583122221.5 
11/20/2016@ DENL 91 - 105Y-0.11UTA26:08607102.5006.00000410.5 
11/19/2016@ HOUL 102 - 111Y1.23UTA35:2112014124.7147.66732114.6 
11/17/2016CHIL 77 - 85Y0.94UTA40:3116013103.77891.00022014.4 
11/14/2016MEML 96 - 102Y-0.12UTA21:53605211.66731.00022513.9 
11/12/2016@ MIAW 102 - 91Y0.50UTA33:0412012022.5006.75081515.5 
11/11/2016@ ORLW 87 - 74Y0.79UTA34:2013013113.6679.50021114.8 
11/9/2016@ CHAL 98 - 104Y0.26UTA30:177011113.5004.75042311.9 
11/7/2016@ PHIW 109 - 84Y-0.31UTA20:10806013.7504.40052619.0 
11/6/2016@ NYKW 114 - 109Y0.91UTA33:231308113.8336.75040611.2 
11/4/2016SASL 86 - 100Y-1.22UTA29:295081001.0002.2504229.3 
11/2/2016DALW 97 - 81Y-0.53UTA22:5012012123.6005.429141525.3 
11/1/2016@ SASW 106 - 91Y-1.00UTA33:226012100.2504.66762413.3 
10/30/2016@ LACL 75 - 88Y-0.08UTA26:07809302.75041.00024316.9 
10/28/2016LALW 96 - 89Y0.10UTA31:5213013104.4449.62581219.0 
10/25/2016@ PORL 104 - 113Y0.33UTA40:5712014202.57171.00043313.4 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016@ LALL 96 - 101UTA               
4/11/2016DALL 92 - 101Y-0.99UTA11:48206200.0001.50040011.6 
4/10/2016@ DENW 100 - 84Y0.72UTA37:3216014106.7147.545111416.2 
4/8/2016LACL 99 - 102Y-0.86UTA24:287071001.0003.25041011.5 
4/5/2016SASL 86 - 88Y-0.64UTA33:224010212.0002.66764313.4 
4/3/2016@ PHOW 101 - 86Y0.64UTA24:291205022.62581.00021420.1 
4/1/2016MINW 98 - 85Y0.00UTA35:54100140131.0004.33363013.0 
3/30/2016GSWL 96 - 103Y-0.10UTA37:4711018202.50010.25041414.9 
3/28/2016LALW 123 - 75Y0.17UTA27:578019402.3758.50040316.1 
3/26/2016@ MINW 93 - 84Y-0.06UTA31:285011004.6673.50023210.6 
3/24/2016@ OKCL 91 - 113Y-0.88UTA16:16406001.5002.50041314.1 
3/23/2016@ HOUW 89 - 87Y-1.61UTA23:22207100.1437.00004221.2 
3/20/2016@ MILW 94 - 85Y0.89UTA33:5412014222.57171.00043215.5 
3/19/2016@ CHIL 85 - 92Y-0.46UTA27:09207111.2504.0000108.8 
3/17/2016PHOW 103 - 69Y0.33UTA30:129016003.6676.50022113.2 
3/14/2016CLEW 94 - 84Y-0.34UTA32:105011200.50041.0001129.1 
3/13/2016@ SACW 108 - 99Y-1.53UTA22:16008200.0003.00022611.9 
3/11/2016WASW 114 - 93Y-0.46UTA27:3160113021.0001.5008129.3 
3/9/2016@ GSWL 94 - 115Y-0.33UTA30:039015110.5004.55690211.4 
3/8/2016ATLL 84 - 91Y-0.57UTA33:106015220.7504.00026213.6 
3/5/2016@ NORW 106 - 94Y-0.31UTA35:355018202.3336.50023212.5 
3/4/2016@ MEML 88 - 94Y0.86UTA37:4113018005.6005.700101112.6 
3/2/2016@ TORL 94 - 104Y-0.63UTA23:161008220.6676.28671421.2 
2/29/2016@ BOSL 95 - 100Y-0.23UTA33:3512012110.3758.75081414.9 
2/27/2016BKNL 96 - 98Y0.02UTA35:2412019016.5008.400104218.6 
2/25/2016SASL 78 - 96Y-0.58UTA36:57806001.5008.00002213.9 
2/23/2016HOUW 117 - 114Y-1.39UTA26:14203110.0003.50042312.2 
2/21/2016@ PORL 111 - 115Y-0.57UTA35:49708205.3758.25043215.9 
2/19/2016BOSW 111 - 93Y-0.42UTA33:0311015204.8005.37585219.0 
2/18/2016@ WASL 89 - 103Y0.07UTA29:4916012211.5569.66792321.3 
2/10/2016@ NORL 96 - 100Y0.11UTA32:4312014102.7504.75083415.3 
2/9/2016@ DALW 121 - 119Y0.11UTA37:1614010301.8336.66762313.2 
2/6/2016@ PHOW 98 - 89Y0.65UTA34:4213013214.2867.750120216.3 
2/5/2016MILW 84 - 81Y2.15UTA38:021508153.8577.75040110.6 
2/3/2016DENW 85 - 81Y-0.05UTA29:421205111.6258.50040216.0 
2/1/2016CHIW 105 - 96Y-0.21UTA43:0016012210.60010.50081315.7 
1/29/2016MINW 103 - 90Y0.75UTA31:1614012222.7508.50042318.8 
1/27/2016CHAW 102 - 73Y-0.48UTA29:316012103.4005.50043316.1 
1/25/2016DETL 92 - 95Y0.97UTA35:5817017111.70010.75041216.1 
1/22/2016@ BKNW 108 - 86Y0.33UTA28:441007303.50010.00000316.6 
1/20/2016@ NYKL 111 - 118Y-0.08UTA42:221108012.5008.60051512.5 
1/18/2016@ CHAL 119 - 124Y0.66UTA43:2414014312.8577.40051511.2 
1/16/2016LALW 109 - 82Y1.67UTA30:2518018005.7508.85771218.6 
1/14/2016SACL 101 - 103Y-0.01UTA29:442012202.3333.0000044.3 
1/13/2016@ PORL 85 - 99Y-1.18UTA24:24308113.0005.50064323.4 
1/10/2016@ LALW 86 - 74Y-0.22UTA29:4610051131.0003.50082614.2 
1/9/2016MIAW 98 - 83Y0.82UTA28:299054141.0003.75041210.3 
1/7/2016@ HOUL 94 - 103-0.50UTA15:04603000.7504.00000212.2 
1/6/2016@ SASL 98 - 123UTA               
1/4/2016HOUL 91 - 93UTA               
1/2/2016MEMW 92 - 87UTA               
12/31/2015PORW 109 - 96UTA               
12/30/2015@ MINL 80 - 94UTA               
12/28/2015PHIW 95 - 91UTA               
12/26/2015LACL 104 - 109UTA               
12/23/2015@ GSWL 85 - 103UTA               
12/21/2015PHOW 110 - 89UTA               
12/18/2015DENW 97 - 88UTA               
12/16/2015NORL 94 - 104UTA               
12/14/2015@ SASL 81 - 118UTA               
12/13/2015@ OKCL 98 - 104UTA               
12/11/2015OKCL 90 - 94UTA               
12/9/2015NYKW 106 - 85UTA               
12/8/2015@ SACL 106 - 114UTA               
12/5/2015INDW 122 - 119UTA               
12/3/2015ORLL 94 - 103UTA               
11/30/2015GSWL 103 - 106Y0.11UTA37:2013011311.5008.62580213.9 
11/28/2015NORW 101 - 87Y0.62UTA31:469014014.6005.60051411.5 
11/25/2015@ LACW 102 - 91Y0.27UTA37:57100111221.0004.50044211.8 
11/23/2015OKCL 89 - 111Y-0.61UTA25:221005010.66761.00025320.5 
11/20/2015@ DALL 93 - 102Y0.40UTA35:588012121.5004.8005139.0 
11/18/2015TORW 93 - 89Y-0.51UTA38:37705102.7504.5002339.8 
11/15/2015@ ATLW 97 - 96Y0.56UTA37:5211011323.7504.71474413.5 
11/13/2015@ ORLL 93 - 102UTA               
11/12/2015@ MIAL 91 - 92UTA               
11/10/2015@ CLEL 114 - 118Y0.13UTA33:281507510.60010.75042218.1 
11/7/2015MEMW 89 - 79Y-0.07UTA35:537011214.3758.50024516.7 
11/5/2015@ DENW 96 - 84Y-0.95UTA34:488016203.2508.400101217.7 
11/4/2015PORL 92 - 108Y0.16UTA30:07809014.6676.00022312.7 
10/31/2015@ INDW 97 - 76Y0.30UTA31:149017202.6005.75042212.0 
10/30/2015@ PHIW 99 - 71Y0.95UTA31:328011206.50061.00021211.1 
10/28/2015@ DETL 87 - 92Y0.19UTA37:256012113.5006.00003412.0