Kawhi Leonard - SAS - F

 Open Historical Profile
TeamSAS
Age25
Draft2011 (Pick 15)
NBA Salary$17,638,063
Projection Updated2/27/2017

Related Articles (15)

31.7d ago Open link
Questionable Questionable Friday @NOR (sore hand)
He did practice on Thursday.
33.6d ago Open link
Probable Probable Tuesday @TOR (sore hand)
Coach Pop said Kawhi is probably playing.
33.8d ago Open link
Probable Probable Tuesday @TOR (sore hand)
He is not listed on the injury report.
56.6d ago Open link
Starting Starting Sunday @ATL (gastroenteritis)
He is listed as a starter
2.7d
tmfaherty89
43% (7) agree 
Kawhi (UP) or Jokic (DOWN) in dynasty (9-cat H2H)? I'm loaded in steals (lead the league by a large margin) and I'm worried about Kawhi being rested during the fantasy playoffs every year
20.5d
#39100
Quad contusion? Any more info on this?
29.1d
deadmau5whomp
88% (8) agree 
Kawhi/Gary Harris(UP) or Jrue Holiday/Blake Griffin(DOWN)
33.6d
Gold Town
16% (19) agree 
Should I trade Kawhi away to get Hayward & Oladipo? My team needs depth. Up for yes - down for no
33.7d
kylemckeown16
100% (1) agree 
Pop said Kawhi had "an injury that's not really an injury." They were just resting Kawhi. He should play.
33.9d
#39100
0% (1) agree 
When did he injure his hand? Or is Pop's new way of saying "DNP-Old"?
38.3d
Donnie99
100% (3) agree 
So underrated(appreciated)!
55.5d
rockboys
48% (25) agree 
Got offered Giannis & Millsap for my Leonard & Porzingis. 9 Cat Roto leagie. Up for YES or Down for NO. Cheers
55.8d
kingdave949
89% (9) agree 
Get Kawhi (UP) for Schroeder/Hayward (DOWN). Points based league with Kawhi ranking 18 and the other two ranked 68/37 ROS. Guards are currently Harden, Beverly, Dragic, Lowry, Harris, Lou Will, Schroeder.
59.7d
Eldar7
6% (18) agree 
Trade Kawhi for KAT?
59.7d
deadmau5whomp
25% (12) agree 
Leonard (UP) or Butler/Porter Jr.(DOWN)
60.1d
kokiAlexandre
40% (10) agree 
Up for Kawhi, Down for Kevin Love. My league has double double as a cat (rotisserie). Intend to punt steals as I am too far apart from the second last in that category...
63.5d
bb142
to be clear, 5 is correct. with 8.10 to play in the 4q kwahi wins the jump ball against felicio and gets the ball back from gasol, then passes it across to parker for the 3. somehow they gave gasol the assist, but that's just flat out wrong. therefore my question regarding the stats source.
63.5d
bb142
What's BBM's source for stats? You guys have Leonard with 5 assists tonight, ESPN and Yahoo are showing 4. I think they missed his assist for Parkers 3 in the 4Q
74.7d
kylemckeown16
kokiAlexandre -- Without knowing more about your team, I'd want Durant in that trade.
74.7d
kylemckeown16
100% (1) agree 
jamesw -- I wouldn't trade Anthony Davis for that package.
74.7d
kokiAlexandre
@jamesw, never ever!
74.7d
userw
33% (9) agree 
Got offered Kawhi, Jabari for AD, Noel. Should I take it?
74.9d
kokiAlexandre
30% (10) agree 
Up for Kawhi and Lou Williams, Down for Kevin Durant. 16 team 12 Cat system with DD and TD.
99.5d
#62477
25% (12) agree 
Kemba, Melo, Steven Adams for Kawhi, Pau Gasol? Up for Yes, down for No. Thanks y'all.
119.3d
Bobbywood
If you're keeping them for the next three years. Kawhi and Turner have a lot more upside in the next three seasons then Cousins and Paul in my opinion. Kawhi is on even higher levels than in years past 4 games into the young season. I would do the deal personally. I have Kawhi on my team and he is unreal.
119.3d
#39100
10-man, 16-roster spots. Side note: My replacement keeper for Cousins would be Myles Turner. So it becomes Kwahi + MTurner vs. Cousins + CP3 in the next few years.
119.4d
ferris
50% (2) agree 
8 cat -- no way, keep cousins and paul
119.4d
joshlloyd48
How deep is the league?
119.4d
#39100
In a 6-keeper 8-cat H2H league, are you willing to pay Cousins + CP3 for Kawhi? This is a competitive league so the cost for getting top players are steep. Thoughts Josh?
124.4d
Bobbywood
Looks VERY good tonight. He might be ready for the potential leap mentioned in the pre season rankings.
125.5d
tremajj
100% (2) agree 
Rankings are less valuable than the value score assigned to each individual. For example, if I change Leonard's steals for the year from 1.9 to 2.0...his score increases by 0.02 (for my league settings) and he moves up two spots from 8 to 6. So while I think the BBM guys really know their stuff, no one is good enough to predict statistics to that level on one category much less across all categories. Bottom line - rather than go by rankings, when it's your turn to draft look at guys within a certain value (I go by 0.05) and that is the group to draft from depending on team fit, how you feel about a player, etc as the projections carry variability.
125.5d
LRC_Kevin
Combine projections with personal research. The ability to customize your own projection on BBM is insanely valuable. When it comes down to it, there really is no final, end of the line draft board, because it entirely depends on your current team build and needs.
125.6d
stomper90
Then what would you use as a draft board? If this is where a player is projected, I would absolutely use as a draft board. Within reason I am going to take the best person available in my draft room based on the projections. If there's a better way to be using this system, I'm all ears.
125.6d
ak murthy
100% (4) agree 
The projections are not a draft board.
125.6d
brendans
67% (3) agree 
BBM desperately needs a bold-letter announcement on the projection page saying something along the lines of WE DO NOT CHOOSE THE "RANKINGS" with a link to the help page where it explains z scores, how the projections are calculated, how your settings impact projections, etc
125.6d
DJGRatt
Projections have him 6th... I haven't seen him in the top-3 anywhere.
125.7d
stomper90
0% (3) agree 
Projections have him as a Top 3 -- do we really think that is accurate? If so, in some of the articles why isn't he listed as one of the Top 5 picks?
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
50.71Projection 16-17SASSubscribe now to view 2016-17 Projection
50.76Short-term (3/19)SAS1133.025.01.95.83.61.60.8.49516.7.8867.52.130.71.830.650.030.201.490.210.742.01-0.34
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
50.75NBA 16-17SAS5333.325.82.05.83.31.70.7.48717.6.8937.42.131.11.850.750.040.111.720.060.522.05-0.36
169-0.44Last WeekSAS228.223.01.03.03.50.50.0.47117.0.7508.02.535.31.38-0.31-1.000.19-1.25-1.21-0.01-0.90-0.82
360.33Last 2 WeeksSAS430.625.01.54.32.81.80.3.49318.8.8006.32.033.71.720.23-0.53-0.141.76-0.740.760.15-0.26
180.47Last MonthSAS1232.326.81.76.13.91.50.7.47619.3.8358.12.834.62.020.410.160.381.160.040.180.96-1.10
70.74Last 2 MonthsSAS2233.127.72.15.53.61.40.9.50718.6.8557.92.232.72.180.87-0.080.250.940.401.221.38-0.51
40.72Last 3 MonthsSAS3632.926.22.05.63.41.60.8.49917.6.8797.62.231.51.930.74-0.040.131.290.190.901.80-0.48
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
30.82NBA 15-16SAS7233.021.21.86.82.61.81.0.50615.2.8744.61.525.91.360.760.49-0.211.730.511.171.150.42
60.58NBA 14-15SAS6431.816.51.07.22.52.30.8.47912.8.8023.91.523.10.520.050.62-0.193.060.130.380.300.34
150.35NBA 13-14SAS6629.112.81.06.22.01.70.8.5229.8.8021.91.218.3-0.35-0.030.24-0.501.630.220.960.120.87
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
30.56Projection 16-17SASSubscribe now to view 2016-17 Projection
30.63Short-term (3/19)SAS1133.027.32.06.43.91.80.9.49518.2.8868.22.330.72.020.51-0.310.141.19-0.120.422.04-0.26
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
40.45NBA 16-17SAS5333.327.82.16.23.61.90.7.48719.0.8938.02.331.11.820.47-0.320.020.84-0.320.151.58-0.19
162-0.36Last WeekSAS228.229.41.33.84.50.60.0.47121.7.75010.23.235.32.10-0.24-0.850.39-1.06-1.17-0.18-1.12-1.13
350.21Last 2 WeeksSAS430.629.41.85.03.22.10.3.49322.0.8007.32.433.72.110.16-0.59-0.121.12-0.830.340.01-0.28
160.26Last MonthSAS1232.329.81.96.84.41.70.7.47621.4.8359.03.134.62.170.23-0.210.340.53-0.31-0.060.66-1.00
40.45Last 2 MonthsSAS2233.130.12.35.94.01.50.9.50720.3.8558.52.432.72.240.58-0.390.170.32-0.090.591.00-0.35
40.44Last 3 MonthsSAS3632.928.72.26.13.71.70.8.49919.3.8798.32.431.51.970.48-0.360.060.57-0.230.391.38-0.33
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
30.52NBA 15-16SAS7233.023.12.07.52.81.91.1.50616.5.8745.11.625.91.300.61-0.07-0.180.75-0.020.571.160.54
70.38NBA 14-15SAS6431.818.71.28.22.92.60.9.47914.6.8024.51.723.10.32-0.100.29-0.242.49-0.120.120.210.41
100.30NBA 13-14SAS6629.115.81.37.72.52.10.9.52212.1.8022.41.518.3-0.210.000.18-0.361.280.000.800.240.81
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
60.74Projection 16-17SASSubscribe now to view 2016-17 Projection
40.78Short-term (3/19)SAS11363:00275216439189.495183.886832430.71.900.670.060.231.540.250.742.01-0.39
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
70.73NBA 16-17SAS531766:171,3651053061769236.487934.89339211131.11.730.740.020.151.710.050.502.02-0.37
173-0.38Last WeekSAS256:234626710.47134.75016535.30.83-0.37-0.780.04-0.80-0.89-0.23-0.78-0.43
390.17Last 2 WeeksSAS4122:271006171171.49375.80025833.71.530.09-0.37-0.131.03-0.590.27-0.06-0.22
150.40Last MonthSAS12388:01321207347188.476231.835973334.61.880.340.150.320.950.070.020.88-0.98
130.47Last 2 MonthsSAS22728:3261046120803119.507410.8551734932.71.510.51-0.340.040.510.210.901.10-0.18
100.58Last 3 MonthsSAS361185:39944712001215627.499635.8792727931.51.580.55-0.150.051.050.130.741.64-0.35
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
40.78NBA 15-16SAS722379:341,52512949318612871.5061,091.87433410525.91.270.700.43-0.211.610.521.231.110.41
120.41NBA 14-15SAS642032:551,0576746116114848.479822.8022529723.10.22-0.110.34-0.332.340.030.410.280.53
290.24NBA 13-14SAS661922:378446941113311450.522645.8021268018.3-0.57-0.11-0.03-0.591.240.090.920.131.06

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
2/26/2017@ LALW 119 - 98Y-0.19SAS25:322523100.50018.83362037.6 
2/24/2017@ LACW 105 - 97Y-0.68SAS30:512103610.43816.700103533.0 
2/15/2017@ ORLW 107 - 79Y0.68SAS27:072225121.444181.00041133.6 
2/13/2017@ INDW 110 - 106Y1.50SAS38:573226340.56523.80052030.5 
2/12/2017@ NYKL 90 - 94Y1.20SAS35:423619440.48127.818113341.8 
2/10/2017@ DETW 103 - 92Y0.44SAS32:523236510.50022.77893238.8 
2/8/2017@ PHIW 111 - 103Y1.00SAS36:493236500.500181.000112232.1 
2/6/2017@ MEML 74 - 89SAS               
2/4/2017DENW 121 - 97Y0.54SAS31:481916522.46213.75082026.7 
2/2/2017PHIW 102 - 86Y0.09SAS25:171908522.47117.60054137.2 
1/31/2017OKCW 108 - 94Y0.60SAS35:363618402.50026.818113037.8 
1/29/2017DALL 101 - 105Y0.17SAS37:042437211.41217.87584230.8 
1/27/2017@ NORL 103 - 119Y0.24SAS30:262326610.375161.00094234.8 
1/24/2017@ TORW 108 - 106SAS               
1/23/2017@ BKNW 112 - 86SAS               
1/21/2017@ CLEW 118 - 115Y1.03SAS45:594136511.500301.00086339.2 
1/19/2017DENW 118 - 104Y1.73SAS36:033425421.545221.00081133.4 
1/17/2017MINW 122 - 114Y1.62SAS38:343427510.70617.88991425.4 
1/14/2017@ PHOL 105 - 108Y0.95SAS32:233824310.60020.857143242.5 
1/12/2017LALW 134 - 94Y1.70SAS26:063132220.76913.88990029.6 
1/10/2017MILL 107 - 109Y2.01SAS36:023027233.62516.800101126.2 
1/7/2017CHAW 102 - 85Y-0.27SAS32:531932301.389181.00022229.0 
1/5/2017@ DENW 127 - 99Y0.35SAS36:122436501.47419.75041227.5 
1/3/2017TORW 110 - 82Y1.97SAS28:102554223.66712.80050224.3 
1/1/2017@ ATLL 112 - 114Y-0.42SAS28:091314211.25012.85771327.3 
12/30/2016PORW 110 - 94SAS               
12/28/2016PHOW 119 - 98SAS               
12/25/2016CHIW 119 - 100Y1.79SAS37:3825310431.500141.00082123.0 
12/23/2016@ PORW 110 - 90Y1.48SAS31:433353210.600151.000102232.2 
12/22/2016@ LACL 101 - 106Y0.63SAS34:042719512.42119.909114233.7 
12/20/2016@ HOUW 102 - 100Y0.15SAS36:212105450.35714.846137133.3 
12/18/2016NORW 113 - 100Y0.10SAS24:271312011.500101.00020119.9 
12/15/2016@ PHOW 107 - 92Y0.86SAS27:2618110420.500121.00051025.6 
12/14/2016BOSW 108 - 101Y0.91SAS36:312613621.529171.00074130.6 
12/10/2016BKNW 130 - 101Y1.60SAS27:083046311.556181.00060132.6 
12/8/2016@ CHIL 91 - 95Y0.56SAS38:072418510.526191.00032324.8 
12/6/2016@ MINW 105 - 91Y1.46SAS35:363121420.73315.87581127.9 
12/5/2016@ MILW 97 - 96Y-0.10SAS30:452119002.409221.00022133.9 
12/2/2016WASW 107 - 105Y0.68SAS34:182325220.500181.00031126.2 
11/30/2016@ DALW 94 - 87Y-0.35SAS31:012127220.31316.750122138.5 
11/29/2016ORLL 83 - 95Y-0.17SAS32:022112020.37516.88992130.9 
11/26/2016@ WASW 112 - 100Y-0.11SAS35:371911530.35714.800103127.8 
11/25/2016@ BOSW 109 - 103Y0.89SAS35:0125310402.444181.00062128.5 
11/23/2016@ CHAW 119 - 114Y1.26SAS36:363025411.66721.00010226.7 
11/21/2016DALW 96 - 91Y0.29SAS33:482419410.42119.87581233.3 
11/18/2016@ LALW 116 - 107Y0.86SAS39:1223212720.46715.87583026.7 
11/16/2016@ SACW 110 - 105Y1.51SAS32:022046141.500141.00021122.4 
11/14/2016MIAW 94 - 90Y-0.42SAS34:3424312400.36819.77894233.2 
11/12/2016@ HOUW 106 - 100Y0.42SAS37:382002030.563161.00022324.2 
11/11/2016DETW 96 - 86Y0.32SAS37:121744140.278181.00032128.4 
11/9/2016HOUL 99 - 101Y1.14SAS38:593447112.423261.00082136.5 
11/5/2016LACL 92 - 116Y-0.34SAS27:551406111.231131.00082131.9 
11/4/2016@ UTAW 100 - 86Y1.40SAS31:3029111411.500181.000101233.7 
11/1/2016UTAL 91 - 106Y1.45SAS35:473057220.556181.00052131.2 
10/30/2016@ MIAW 106 - 99Y0.22SAS29:492712611.50016.833124337.3 
10/29/2016NORW 98 - 79Y0.91SAS28:002024320.500121.00060124.3 
10/27/2016@ SACW 102 - 94Y1.93SAS34:553013550.524211.00071534.1 
10/25/2016@ GSWW 129 - 100Y2.07SAS32:033505350.476211.000152136.0 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016@ DALW 96 - 91SAS               
4/12/2016OKCW 102 - 98Y0.46SAS38:442615522.50020.62583332.0 
4/10/2016GSWL 86 - 92Y0.84SAS38:5920013523.31822.85770327.9 
4/8/2016@ DENL 98 - 102SAS               
4/7/2016@ GSWL 101 - 112Y0.14SAS34:502323210.66712.62582023.6 
4/5/2016@ UTAW 88 - 86Y0.08SAS38:181808012.35714.88992328.2 
4/2/2016TORW 102 - 95Y2.39SAS40:073326731.588171.000112527.1 
3/30/2016NORW 100 - 92Y1.49SAS22:101616432.44491.00070127.4 
3/28/2016@ MEMW 101 - 87SAS               
3/26/2016@ OKCL 92 - 111SAS               
3/25/2016MEMW 110 - 104SAS               
3/23/2016MIAW 112 - 88Y1.08SAS24:063238011.57121.71471149.2 
3/21/2016@ CHAL 88 - 91Y0.11SAS30:441516020.429141.00021322.9 
3/19/2016GSWW 87 - 79Y0.09SAS38:3218114402.35714.87584425.5 
3/17/2016PORW 118 - 110Y1.40SAS30:342242103.727111.00020117.8 
3/15/2016LACW 108 - 87Y0.77SAS33:422005430.600151.00023226.8 
3/12/2016OKCW 93 - 85Y0.90SAS37:502617331.417241.00052133.2 
3/10/2016CHIW 109 - 101Y2.24SAS38:362947222.667151.00051120.6 
3/8/2016@ MINW 116 - 91Y0.18SAS24:311505210.500121.00030125.0 
3/7/2016@ INDL 91 - 99Y-0.49SAS39:402316201.39123.66761328.1 
3/5/2016SACW 104 - 94Y0.16SAS36:2325113611.37524.85774137.2 
3/3/2016@ NORW 94 - 86Y1.98SAS39:0130610322.54522.00002129.5 
3/2/2016DETW 97 - 81Y1.32SAS35:522716520.59122.00000330.7 
2/27/2016@ HOUW 104 - 94Y1.23SAS39:092738111.61513.88992322.8 
2/25/2016@ UTAW 96 - 78Y2.15SAS35:102935330.667151.00060225.2 
2/24/2016@ SACW 108 - 92Y0.98SAS27:551828141.313161.00061231.2 
2/21/2016@ PHOW 118 - 111SAS               
2/19/2016@ LALW 119 - 113SAS               
2/18/2016@ LACL 86 - 105SAS               
2/10/2016@ ORLW 98 - 96Y1.63SAS32:512937221.632191.00022229.3 
2/9/2016@ MIAW 119 - 101Y1.43SAS33:292319431.64717.00003126.3 
2/6/2016LALW 106 - 102Y-0.03SAS33:5920013310.30813.800151326.7 
2/5/2016@ DALW 116 - 90Y0.12SAS26:402322100.563161.00032033.0 
2/3/2016NORW 110 - 97Y0.95SAS35:382615112.64717.75042127.0 
2/1/2016ORLW 107 - 92Y-0.09SAS26:291025212.36411.00002123.6 
1/30/2016@ CLEL 103 - 117Y0.21SAS35:142436200.46715.87582229.1 
1/27/2016HOUW 130 - 99Y0.30SAS28:031831111.58312.50021121.2 
1/25/2016@ GSWL 90 - 120Y0.59SAS25:081615220.66761.00073120.2 
1/22/2016@ LALW 108 - 95Y1.07SAS28:401814223.45511.87580024.5 
1/21/2016@ PHOW 117 - 89Y0.15SAS22:122113300.400151.00080238.2 
1/17/2016DALW 112 - 83Y-0.15SAS29:071514120.45511.66761022.1 
1/14/2016CLEW 99 - 95Y0.74SAS39:5120210512.429141.00064123.6 
1/12/2016@ DETW 109 - 99Y-1.13SAS34:20705111.1437.71473316.3 
1/11/2016@ BKNW 106 - 79Y0.17SAS29:331728010.429141.00031125.3 
1/8/2016NYKW 100 - 99Y0.51SAS36:5419012022.42119.75041126.0 
1/6/2016UTAW 123 - 98Y0.39SAS23:121524320.545111.00012026.8 
1/4/2016@ MILW 123 - 98Y1.08SAS30:502432121.750121.00034124.0 
1/2/2016HOUW 121 - 103Y0.22SAS34:112226200.66712.80053322.9 
12/30/2015PHOW 112 - 79Y0.91SAS29:171930220.600101.00040018.8 
12/28/2015MINW 101 - 95Y0.73SAS37:2317111310.5569.85770515.5 
12/26/2015DENW 101 - 86Y0.84SAS31:582025520.538131.00042124.8 
12/25/2015@ HOUL 84 - 88Y1.86SAS39:022027453.421191.00021423.7 
12/23/2015@ MINW 108 - 83Y1.02SAS30:371936222.50016.00001125.1 
12/21/2015INDW 106 - 92Y1.36SAS34:442416530.526191.00030227.3 
12/18/2015LACW 115 - 107Y0.09SAS35:541919200.42914.85770321.3 
12/16/2015WASW 114 - 95Y1.82SAS38:092743440.60015.83361222.1 
12/14/2015UTAW 118 - 81Y1.52SAS24:432227220.700101.00060124.9 
12/12/2015@ ATLW 103 - 78Y1.81SAS32:262218450.538131.00072225.4 
12/11/2015LALW 109 - 87Y1.24SAS24:5916011231.500121.00040024.7 
12/9/2015@ TORL 94 - 97Y-0.34SAS26:41917211.4449.00012119.5 
12/7/2015@ PHIW 119 - 68SAS               
12/5/2015BOSW 108 - 105Y-0.10SAS34:061528420.30813.83363424.2 
12/3/2015@ MEMW 103 - 83Y2.26SAS32:582778321.692131.00021221.0 
12/2/2015MILW 95 - 70Y-0.71SAS25:061303400.25012.87580127.4 
11/30/2015@ CHIL 89 - 92Y0.14SAS40:132508320.42921.77892430.3 
11/28/2015ATLW 108 - 88Y1.05SAS29:142237211.545111.00072024.2 
11/27/2015@ DENW 91 - 80Y2.73SAS31:522527645.611181.00012130.7 
11/25/2015DALW 88 - 83Y1.48SAS40:262648520.563161.00042023.0 
11/23/2015PHOW 98 - 84Y1.86SAS37:1324113441.611181.00013125.8 
11/21/2015MEMW 92 - 82Y-0.04SAS40:161937301.33315.75080122.3 
11/20/2015@ NORL 90 - 104Y0.40SAS36:372235211.45020.50020227.5 
11/18/2015DENW 109 - 98Y1.20SAS36:492038321.500161.00010220.4 
11/16/2015PORW 93 - 80Y1.23SAS30:471939322.53315.00010123.8 
11/14/2015PHIW 92 - 83SAS               
11/11/2015@ PORW 113 - 101Y0.55SAS34:492017310.500141.00051323.4 
11/9/2015@ SACW 106 - 88Y1.69SAS31:372433222.76913.50020219.2 
11/7/2015CHAW 114 - 94Y0.92SAS34:062324220.62516.50020322.9 
11/4/2015@ WASL 99 - 102Y0.22SAS34:502319010.455221.00021429.6 
11/2/2015@ NYKW 94 - 84Y1.39SAS36:0518114124.500161.00012424.2 
11/1/2015@ BOSW 95 - 87Y0.33SAS34:171915221.444181.00022226.0 
10/30/2015BKNW 102 - 75Y-0.05SAS25:4716010121.375161.00044336.9 
10/28/2015@ OKCL 106 - 112Y1.81SAS35:193218032.591221.00053333.4