Bojan Bogdanovic - WAS - F

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TeamWAS
Age28
Draft2014 (Pick 31)
NBA Salary$3,573,020
Projection Updated5/16/2017
148.1d
charlie_brown102
Yeah - he's now buried. 7 minutes in the first half. Probably not even going to get to 15 today.
162.9d
Big2hd
I thought this dude was gonna get buried in the rotation, dropped him for WCS lol
163.0d
charlie_brown102
His FT is also really good.. like a mini Galo.
163.0d
kahlev
100% (1) agree 
I hate this guy. Screwing over Otto Porter owners :( haha
163.0d
Dckiller27
100% (1) agree 
Dude is hitting his shots at an insane rate on the Wizards, it's not sustainable but I believe he can maintain 46-48% on 9-10 shots a game. He could sneak in top 100 value due to his near elite 3's, higher FG% and decent pts. EG is different cuz he takes a lot more shots so he scores more on a less efficient rate. Right now Bojan is a better Allen Crabbe
163.0d
charlie_brown102
Is this guy the new Eric Gordon?
176.3d
gehrenberg
100% (3) agree 
Also worth noting there is a decent chance the nets will still make more trades, which could change the team outlook
176.3d
kylemckeown16
100% (3) agree 
It's hard to believe the Nets will shrink their rotation until we actually see it happen, so even though Bogdanovic isn't on the team anymore, coach Atkinson could still decide to play everyone between 16-26 mpg and continue limiting the value of everyone on the Nets.
176.3d
Lowkey
Or Levert could start but he's being monitored still right?
176.3d
Lowkey
0% (1) agree 
Who'll start on his place Ros, kilpatrick or joe Harris? They need a three point shooter there right?
176.3d
Dckiller27
100% (2) agree 
Not many gainers here but Levert is probably the biggest beneficiary. Hopefully the Nets will start to develop their young talent
176.3d
dylan33
any gainer? levert?
176.3d
Dckiller27
100% (4) agree 
Traded to the Wizards. Was only good for scoring before due to being on the talent-less Nets team, now he will come off the bench on a very talented Wizards team. Great real life trade for the Wizards bench but can safely drop Bojan in standard leagues
221.0d
markalbert2kx
0% (2) agree 
Been pretty good until his last game. Hold?
294.6d
mikehubes
I try not to change my thoughts after one game, but interesting that the Nets chucked up 44 threes last night. Bogey is their best 3-baller, and tossed up 8 of his own last night. I wonder if his 3PM ends up closer to the 2.5 range.
295.3d
gehrenberg
100% (2) agree 
Dear god the nets are going to be awful. I hadn't thought about it terms of Bojan is their third option
295.3d
joshlloyd48
100% (2) agree 
I think he will be their third scoring option, but remember that Bojan contributes really only in points and threes, poor production in other areas.
295.4d
LordPedro
Would you say that Bojan is the 3rd scoring option on the Nets with Thad Young gone? He finished last season strong and played well in the Olympics. Any big potential for consistent volume scoring?
304.4d
kylemckeown16
The Nets are getting good production from most of their players right now, and I'd like to see what Bojan can do in a better system this season under Atkinson. Hopefully he gets the starting job over Foye, but Bojan will also need to get more diverse stats this season to take a real step forward. He doesn't do much outside of PTs and 3s.
304.5d
mikehubes
Given the lack of talent and scorers on this roster, I think Bogey gets closer to 28mpg and 12 fga. I know he's coming off the bench, but he should still see slightly lower than starters mins, and operate as possibly the #3 scoring option.
Per Game
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
153-0.41Projection 16-17WASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
173-0.38NBA 16-17WAS8125.713.71.83.41.40.40.1.44510.4.8933.01.622.2-0.190.51-0.85-0.76-1.54-1.07-0.480.830.16
292-0.74Last WeekWAS423.48.31.33.00.80.00.0.3557.81.0001.50.818.4-1.13-0.07-1.01-1.04-2.59-1.23-1.630.841.16
227-0.49Last 2 WeeksWAS722.110.01.43.41.00.30.0.4367.91.0001.71.120.5-0.830.13-0.85-0.93-1.86-1.23-0.490.960.71
266-0.58Last MonthWAS1622.110.61.33.40.90.30.1.4258.4.9232.41.822.1-0.72-0.07-0.85-0.96-1.79-0.99-0.690.87-0.06
173-0.37Last 2 MonthsWAS2823.512.71.63.30.90.40.1.4609.0.9283.01.521.8-0.370.36-0.89-0.98-1.67-0.96-0.161.090.26
189-0.38Last 3 MonthsWAS4424.813.51.83.61.20.40.1.44610.0.9233.01.822.8-0.240.51-0.80-0.86-1.54-1.02-0.451.05-0.07
RankValueNameTeamgm/gp/g3/gr/ga/gs/gb/gfg%fga/gft%fta/gto/gUSGpV3VrVaVsVbVfg%Vft%VtoV
233-0.49NBA 15-16BKN7926.811.21.63.21.30.40.1.4339.5.8331.71.519.2-0.580.59-1.02-0.82-1.54-1.08-0.590.250.42
228-0.47NBA 14-15BKN7823.89.01.22.70.90.40.1.4537.4.8211.41.017.3-1.100.19-1.14-0.97-1.32-0.94-0.120.171.03
Per 36
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
138-0.28Projection 16-17WASSubscribe now to view 2016-17 Projection
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
152-0.21NBA 16-17WAS8125.719.22.54.81.90.60.1.44514.6.8934.22.322.20.270.85-0.65-0.71-0.99-0.90-0.530.96-0.17
247-0.52Last WeekWAS423.412.71.94.61.20.00.0.35511.91.0002.31.218.4-0.990.35-0.70-1.04-1.79-1.03-1.671.141.09
178-0.22Last 2 WeeksWAS722.116.32.35.61.60.50.0.43612.81.0002.81.920.5-0.290.71-0.47-0.84-1.14-1.03-0.591.340.28
246-0.39Last MonthWAS1622.117.32.05.61.50.50.2.42513.7.9234.03.022.1-0.090.45-0.47-0.88-1.07-0.82-0.801.17-0.95
124-0.15Last 2 MonthsWAS2823.519.52.55.11.40.50.2.46013.8.9284.52.421.80.320.88-0.59-0.95-1.02-0.81-0.261.37-0.28
173-0.20Last 3 MonthsWAS4424.819.52.65.21.70.60.2.44614.6.9234.32.622.80.330.93-0.57-0.82-0.96-0.86-0.511.25-0.59
RankValueNameTeamgm/gp/363/36r/36a/36s/36b/36fg%fga/36ft%fta/36to/36USGpV3VrVaVsVbVfg%Vft%VtoV
264-0.37NBA 15-16BKN7926.815.12.24.31.70.50.1.43312.8.8332.22.019.2-0.460.81-1.05-0.65-0.98-1.01-0.610.440.14
261-0.37NBA 14-15BKN7823.813.61.84.11.30.70.2.45311.2.8212.11.517.3-0.860.40-0.90-0.88-1.11-0.63-0.190.180.65
Totals
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
153-0.41Projection 16-17WASSubscribe now to view 2016-17 Projection
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
132-0.28NBA 16-17WAS812082:521,113144279112337.445845.89324313122.20.090.74-0.63-0.66-1.33-1.02-0.520.89-0.08
229-0.51Last WeekWAS493:4633512300.355311.0006318.4-0.820.07-0.64-0.91-1.45-0.92-1.270.750.59
180-0.41Last 2 WeeksWAS7154:30701024720.436551.00012820.5-0.600.15-0.65-0.84-1.40-1.08-0.470.870.33
207-0.49Last MonthWAS16353:0717020551552.425134.923392922.1-0.480.06-0.62-0.89-1.49-0.93-0.660.94-0.33
131-0.28Last 2 MonthsWAS28656:43355469325104.460252.928834321.8-0.110.56-0.72-0.92-1.43-0.93-0.211.230.07
131-0.27Last 3 MonthsWAS441091:575927815751185.446442.9231308022.80.110.75-0.57-0.79-1.24-1.00-0.501.19-0.35
RankValueNameTeamgminpts3rebaststlblkfg%fgaft%ftatoUSGpV3VrVaVsVbVfg%Vft%VtoV
185-0.42NBA 15-16BKN792114:3988712925599295.433749.83313211519.2-0.340.70-0.87-0.75-1.38-1.07-0.590.250.24
179-0.39NBA 14-15BKN781853:497009121368349.453576.8211067817.3-0.870.29-0.93-0.94-1.16-0.88-0.130.190.88

Game Log
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/12/2017@ MIAL 102 - 110-0.84WAS19:25711100.3758.00000119.6 
4/10/2017@ DETW 105 - 101-0.63WAS18:27914000.42971.00021022.0 
4/8/2017MIAL 103 - 106-0.58WAS24:42911100.42971.00020413.7 
4/6/2017@ NYKW 106 - 103-0.92WAS31:12826100.22291.00022218.3 
4/4/2017CHAW 118 - 111-0.86WAS12:12712100.5006.00002030.2 
4/2/2017@ GSWL 115 - 1390.74WAS28:402046120.545111.00043222.2 
3/31/2017@ UTAL 88 - 95-0.31WAS19:521004200.57171.00020217.4 
3/29/2017@ LACL 124 - 133-0.95WAS15:56312000.2504.00000110.3 
3/28/2017@ LALW 119 - 108-1.19WAS16:19601110.3758.00012226.8 
3/25/2017@ CLEW 127 - 115WAS               
3/24/2017BKNW 129 - 1080.31WAS25:441707211.500121.00052025.7 
3/22/2017ATLW 104 - 100-1.15WAS14:54512000.3336.00002120.6 
3/20/2017@ BOSL 102 - 110-0.42WAS28:121406211.41712.80053425.5 
3/18/2017@ CHAL 93 - 98-0.82WAS23:101223100.44491.00024327.2 
3/17/2017CHIW 112 - 107-0.70WAS24:531223000.41712.00001221.6 
3/15/2017DALL 107 - 112-0.04WAS24:201933100.8005.88994425.1 
3/13/2017@ MINL 104 - 119-0.98WAS25:091214100.273111.00053127.6 
3/11/2017@ PORW 125 - 124-0.84WAS19:051122000.4449.50021126.3 
3/10/2017@ SACW 130 - 122-0.57WAS30:221702110.43816.75041426.9 
3/8/2017@ DENW 123 - 113-0.44WAS21:331002110.400101.00020322.1 
3/7/2017@ PHOW 131 - 1271.42WAS29:122939000.55691.000160021.4 
3/5/2017ORLW 115 - 1141.20WAS27:272782100.750121.00011222.9 
3/3/2017TORL 106 - 114-0.85WAS20:18601100.20051.00040113.9 
3/1/2017@ TORW 105 - 960.90WAS25:082762000.750121.00032228.2 
2/28/2017GSWW 112 - 108-0.07WAS23:391632010.417121.00031124.0 
2/26/2017UTAL 92 - 1020.13WAS33:091531111.500101.00022317.4 
2/24/2017@ PHIL 112 - 120-0.68WAS17:33204111.2005.00001112.8 
2/15/2017MILL 125 - 129Y-0.54BKN30:481416200.500121.00013220.9 
2/13/2017MEML 103 - 112Y-0.65BKN25:221105200.5006.83362220.0 
2/10/2017MIAL 99 - 108Y-0.94BKN28:581026000.33312.00002220.3 
2/8/2017WASL 110 - 114Y0.40BKN33:382125420.333181.00071427.9 
2/7/2017@ CHAL 107 - 111Y0.00BKN30:152235100.533151.00033127.3 
2/5/2017TORL 95 - 103Y-0.95BKN27:131333200.364111.00025028.1 
2/3/2017INDL 97 - 106BKN               
2/1/2017NYKL 90 - 95Y-0.80BKN29:241517000.60010.50043321.0 
1/30/2017@ MIAL 96 - 104Y-0.52BKN31:131616100.462131.00033223.8 
1/28/2017@ MINL 109 - 129Y-1.40BKN24:281001200.33312.66732127.6 
1/27/2017@ CLEL 116 - 124Y0.11BKN30:061712310.538131.00021222.7 
1/25/2017MIAL 106 - 109Y0.25BKN26:111715220.455111.00063228.7 
1/23/2017SASL 86 - 112Y-1.20BKN22:54513200.2508.00002219.8 
1/21/2017@ CHAL 105 - 112Y-0.31BKN28:291643300.333121.00042024.8 
1/20/2017@ NORW 143 - 114Y0.78BKN27:182326211.462131.00092129.5 
1/17/2017TORL 109 - 119Y-0.04BKN20:311123010.42971.00030216.8 
1/15/2017HOUL 112 - 137Y-1.20BKN21:48822000.3758.00012118.9 
1/13/2017@ TORL 113 - 132Y0.07BKN27:462354200.56316.00004232.1 
1/12/2017NORL 95 - 104Y-0.58BKN25:021023210.36411.00002121.3 
1/10/2017ATLL 97 - 117Y0.11BKN25:551636410.500101.00034224.5 
1/8/2017PHIL 95 - 105Y-0.37BKN35:291228310.35714.00002020.3 
1/6/2017CLEL 108 - 116Y0.81BKN31:032352410.64314.00002520.8 
1/5/2017@ INDL 109 - 121Y-1.31BKN12:00311200.1437.00001029.4 
1/2/2017UTAL 89 - 101Y-0.56BKN25:13803100.5717.00000213.0 
12/30/2016@ WASL 95 - 118Y-0.12BKN21:071223110.400101.00020123.5 
12/28/2016@ CHIL 99 - 101Y-0.84BKN27:431012200.364111.00011319.6 
12/26/2016CHAW 120 - 1180.85BKN26:322644200.63611.88990125.8 
12/23/2016@ CLEL 99 - 119Y-1.63BKN19:32002100.0005.00002315.0 
12/22/2016GSWL 101 - 117Y-0.55BKN25:511223001.50010.00003320.1 
12/20/2016@ TORL 104 - 116Y-0.96BKN18:36510200.16761.00020214.4 
12/18/2016@ PHIL 107 - 108Y-0.40BKN25:231426200.385131.00021025.8 
12/16/2016@ ORLL 111 - 118Y-0.38BKN29:451533110.357141.00022524.5 
12/14/2016LALW 107 - 97Y0.02BKN29:192334110.46213.800102326.8 
12/12/2016@ HOUL 118 - 122Y-0.79BKN22:12711110.3758.00010315.8 
12/10/2016@ SASL 101 - 130Y0.05BKN26:372024200.53813.80050123.8 
12/7/2016DENW 116 - 111Y0.21BKN33:541911300.727111.00021116.1 
12/5/2016WASL 113 - 118Y-0.76BKN28:441823200.35714.75081326.4 
12/3/2016@ MILL 103 - 112Y-0.58BKN32:022422300.47117.75083229.4 
12/1/2016MILL 93 - 111Y-0.63BKN26:431323100.357141.00010222.4 
11/29/2016LACW 127 - 122Y-0.90BKN26:271406200.2867.833123325.7 
11/27/2016SACL 105 - 122Y-0.62BKN27:551321200.4449.75041218.5 
11/25/2016@ INDL 97 - 118Y-0.94BKN25:36823100.30010.00001018.8 
11/23/2016BOSL 92 - 111Y-0.27BKN28:251428200.50012.00002020.8 
11/20/2016PORL 109 - 129Y-0.20BKN24:081512100.545111.00020220.5 
11/18/2016@ OKCL 105 - 124Y-0.67BKN23:551313200.6676.66762119.0 
11/15/2016@ LALL 118 - 125Y1.08BKN30:232923120.611181.00052229.0 
11/14/2016@ LACL 95 - 127Y0.05BKN25:091812010.727111.00013125.5 
11/12/2016@ PHOW 122 - 104Y-1.00BKN30:39715200.3336.66732012.7 
11/9/2016@ NYKL 96 - 110Y-0.34BKN28:48602230.22291.00021216.5 
11/8/2016MINW 119 - 110Y0.00BKN27:181331210.33391.00040017.7 
11/4/2016CHAL 95 - 99Y-1.12BKN33:141424100.235171.00042326.8 
11/2/2016DETW 109 - 101Y-0.38BKN31:591134200.42971.00022214.5 
10/31/2016CHIL 88 - 118Y-0.54BKN20:451523100.45511.75041126.2 
10/29/2016@ MILL 108 - 110Y0.65BKN31:202628200.600151.00062226.6 
10/28/2016INDW 103 - 94Y-0.95BKN28:10401001.16761.00020410.5 
10/26/2016@ BOSL 117 - 122Y0.17BKN23:042135010.52917.00002232.6 
DateOppSummaryStartValueTeamminpts3rebaststlblkfg%fgaft%ftatopfUSGStatus
4/13/2016TORL 96 - 103Y1.05BKN37:022976210.58817.66733327.0 
4/11/2016WASL 111 - 120Y0.53BKN30:152035110.615131.00012221.1 
4/10/2016@ INDL 105 - 129Y-1.15BKN28:541012110.133151.00051125.7 
4/8/2016@ CHAL 99 - 113Y-1.39BKN20:45401101.16712.00000023.7 
4/6/2016@ WASL 103 - 121Y-1.72BKN20:39402000.16712.00001126.4 
4/3/2016NORL 87 - 106BKN               
4/1/2016@ NYKL 91 - 105BKN               
3/31/2016@ CLEL 87 - 107Y-0.90BKN24:321415300.41712.75044328.5 
3/29/2016@ ORLL 105 - 139Y-0.73BKN15:17601100.40051.00020016.5 
3/28/2016@ MIAL 99 - 110Y-1.06BKN23:56911000.40010.00002022.8 
3/26/2016INDW 120 - 110Y0.03BKN28:111842200.50014.00001522.6 
3/24/2016CLEW 104 - 95Y-1.13BKN25:531231000.36411.50023225.8 
3/22/2016CHAL 100 - 105Y0.41BKN28:582033000.50081.00091421.1 
3/19/2016@ DETL 103 - 115Y-0.14BKN33:211935200.438161.00022228.0 
3/17/2016@ CHIL 102 - 118Y1.00BKN28:442623510.588171.00041431.5 
3/15/2016PHIW 131 - 114Y1.59BKN37:074448200.63027.85773236.8 
3/13/2016MILL 100 - 109Y-1.07BKN32:511335700.4449.50047426.8 
3/11/2016@ PHIL 89 - 95BKN               
3/8/2016@ TORL 99 - 104Y0.24BKN31:561225220.5569.00002016.1 
3/5/2016@ MINL 118 - 132Y-1.20BKN24:23801200.36411.00002121.8 
3/4/2016@ DENW 121 - 120Y-0.49BKN33:141732200.50012.66733022.9 
3/1/2016@ LALL 101 - 107Y0.30BKN31:011817301.58312.75041021.0 
2/29/2016@ LACL 95 - 105Y-0.28BKN35:371926100.41712.77891121.2 
2/27/2016@ UTAW 98 - 96Y-1.17BKN23:10823000.27311.00002224.6 
2/25/2016@ PHOW 116 - 106Y-0.15BKN38:192432000.500161.00054225.3 
2/23/2016@ PORL 104 - 112-1.02BKN22:05511400.14371.00021117.4 
2/21/2016CHAL 96 - 104-1.21BKN19:37314200.1119.00000120.5 
2/19/2016NYKW 109 - 980.52BKN23:451641110.7508.00001217.8 
2/10/2016MEML 90 - 109-0.42BKN16:231132000.50061.00022026.4 
2/8/2016DENW 105 - 104-0.20BKN22:571210200.62581.00010017.2 
2/6/2016@ PHIL 98 - 103-1.00BKN22:59903100.37581.00033124.2 
2/5/2016SACW 128 - 1191.01BKN27:282374100.80010.00002418.6 
2/3/2016INDL 100 - 114-1.24BKN19:58711100.3339.00011222.3 
2/1/2016DETL 100 - 105-0.70BKN24:58823000.3339.00000217.3 
1/30/2016@ NORL 103 - 105-0.55BKN20:29311110.3333.0000016.9 
1/29/2016@ DALL 79 - 91-1.36BKN19:23001000.0004.00000210.3 
1/26/2016MIAL 98 - 102-0.29BKN23:281132100.37581.00020018.8 
1/24/2016OKCW 116 - 1060.18BKN28:451843300.58312.00002119.9 
1/22/2016UTAL 86 - 108-0.39BKN23:091421000.55691.00022326.0 
1/20/2016CLEL 78 - 91-0.77BKN29:32715010.3339.00002017.4 
1/18/2016@ TORL 100 - 112-0.53BKN22:33912110.50061.00023320.9 
1/16/2016@ ATLL 86 - 114-1.07BKN21:06701200.37581.00012023.2 
1/15/2016PORL 104 - 116-1.38BKN16:00302000.1676.50020018.9 
1/13/2016NYKW 110 - 1040.31BKN22:561444000.80051.00021113.5 
1/11/2016SASL 79 - 106-1.33BKN21:15001010.0005.00001314.0 
1/9/2016@ DETL 89 - 103-1.39BKN23:43002300.0005.00001212.0 
1/8/2016ORLL 77 - 83Y-1.52BKN30:07201000.00061.00021212.9 
1/6/2016TORL 74 - 91Y-0.41BKN34:581222300.400101.00021216.1 
1/4/2016BOSL 94 - 103Y-0.17BKN34:1912012302.214141.00061022.4 
1/2/2016@ BOSW 100 - 97Y-0.40BKN32:221316100.364111.00041217.7 
12/30/2015@ ORLL 93 - 100Y0.13BKN38:222016300.529171.00011322.2 
12/28/2015@ MIAW 111 - 105Y-0.43BKN28:02916000.28671.00040213.5 
12/26/2015WASL 96 - 111Y-0.59BKN35:161425200.50012.00004218.9 
12/23/2015DALL 118 - 119Y0.60BKN26:211754200.7508.00001115.5 
12/21/2015@ CHIW 105 - 102Y-0.14BKN26:531222000.6258.00000112.4 
12/20/2015MINL 85 - 100Y-0.35BKN37:031333220.41712.00013319.5 
12/18/2015@ INDL 97 - 104Y-1.17BKN30:58511200.2867.00002113.3 
12/16/2015MIAL 98 - 104Y-0.60BKN39:46825100.3758.00001410.7 
12/14/2015ORLL 82 - 105Y-0.85BKN33:531020100.5008.00003214.7 
12/12/2015LACL 100 - 105Y0.16BKN38:431526111.40010.83361315.4 
12/10/2015PHIW 100 - 91Y-0.24BKN32:371023300.5717.00001111.1 
12/8/2015HOUW 110 - 105Y0.25BKN38:031935120.50016.00020119.0 
12/6/2015GSWL 98 - 114Y-0.55BKN20:08514110.2867.00000115.0 
12/4/2015@ NYKL 91 - 1080.21BKN18:54717020.7504.00001111.6 
12/1/2015PHOW 94 - 91-0.27BKN18:09717000.6005.00000112.7 
11/29/2015DETW 87 - 83-1.00BKN21:04402000.3336.00000012.9 
11/28/2015@ CLEL 88 - 90-1.10BKN13:49204000.2504.00001115.9 
11/25/2015@ OKCL 99 - 110-1.00BKN21:54402000.3336.00000011.3 
11/22/2015BOSW 111 - 101-1.17BKN18:24513000.16761.00022021.8 
11/20/2015@ BOSL 95 - 120-1.00BKN16:37921000.4297.50022123.4 
11/18/2015@ CHAL 111 - 116-0.45BKN17:53204110.00011.0002014.6 
11/17/2015ATLW 90 - 88-1.23BKN22:16004010.0004.00002012.9 
11/14/2015@ GSWL 99 - 107-0.45BKN34:55206220.1676.0000017.7 
11/13/2015@ SACL 109 - 111-0.36BKN33:461513000.53813.00001317.5 
11/11/2015@ HOUW 106 - 980.29BKN33:582229300.50020.00001025.6 
11/7/2015@ MILL 86 - 94-0.36BKN24:161321120.50010.50023325.6 
11/6/2015LALL 98 - 104-0.58BKN22:09511010.5004.0000129.3 
11/4/2015@ ATLL 87 - 101-0.66BKN24:561221200.45511.00002023.2 
11/2/2015MILL 96 - 103-0.23BKN25:091422120.50010.66733125.8 
10/31/2015@ MEML 91 - 101-0.10BKN33:471902210.53315.75041325.3 
10/30/2015@ SASL 75 - 102-1.35BKN19:34604000.5006.00022121.4 
10/28/2015CHIL 100 - 115-0.96BKN28:44901100.37581.00032115.7