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2019-20 Individual Basketball Player Stats



Name: Ilyasova, Ersan
Team: Milwaukee Bucks
Links:     ESPN     NBA.com
RotoWire     RotoWorld

FanDuel position: PF
DraftKings position: PF-C
Yahoo DFS position: PF

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2-Week Schedule Look-Ahead
Wed, 02-26   Wed, 03-04 ind
Thu, 02-27  Thu, 03-05 
Fri, 02-28 okc Fri, 03-06 @ lal
Sat, 02-29  Sat, 03-07 
Sun, 03-01 @ chaSun, 03-08 @ pho
Mon, 03-02 @ miaMon, 03-09 @ den
Tue, 03-03  Tue, 03-10 

Game-by-Game History of Prices and Points
ScheduleFanDuelDraftKingsYahoo DFS
DateOppt.Minutes
(^ = starter)
FDPFD PriceDKPDK PriceSFPSF Price
52 games
25(a), 27(h)
16
15(a), 17(h)
15.9
13(a), 18(h)
full season averages 16.3
13(a), 19(h)
15.9
13(a), 18(h)
11 games
6(a), 5(h)
14
14(a), 15(h)
10.5
8(a), 13(h)
30 day averages 10.7
8(a), 13(h)
10.5
8(a), 13(h)
6 games
4(a), 2(h)
16
15(a), 16(h)
10.7
9(a), 14(h)
15 day averages 10.6
9(a), 13(h)
10.7
9(a), 14(h)
2 games
2(a), 0(h)
15
15(a), 0(h)
6.5
6(a), 0(h)
7 day averages 5.9
6(a), 0(h)
6.5
6(a), 0(h)
Daily results
(hover over any point total to see the underlying stats)
02-26
02-25@ TorDNP0$3,600 0$4,400 0$10
02-24@ Was16.04.6$3,600 5.25$3,500 4.6$10
02-23
02-22PhiDNP0$3,800 0$3,700 0$10
02-21
02-20@ Det13.78.4$3,800 6.5$4,400 8.4$11
02-13
02-12@ Ind^19.216.1$4,100 17.25$4,800 16.1$14
02-11
02-10Sac^24.923.1$3,500 22.5$3,200 23.1$10
02-09
02-08@ Orl12.77.6$3,500 7.75 7.6$10
02-07
02-06Phi 6.84.4$3,500 4.5$3,300 4.4$10
02-05
02-04@ Nor 5.64.1$3,500 4.75$3,900 4.1$10
02-03
02-02Pho14.311.8$3,600 13.5$5,000 11.8$11
02-01
01-31Den 7.54.2$3,600 4.75$3,800 4.2$13
01-30
01-29
01-28Was^20.723$3,700 22.25$3,300 23$10
01-27
01-26
01-25
01-24@ Cha15.88.6$3,800 8.25 8.6$10
01-23
01-22
01-21
01-20Chi17.112.7$3,800 14$3,200 12.7$10
01-19
01-18@ Bkn10.87.1$3,800 7.25$3,300 7.1$10
01-17
01-16Bos15.818.8$3,700 19.25$3,900 18.8$10
01-15
01-14NYK16.327.9$3,500 28.25$3,600 27.9$10
01-13
01-12
01-11@ Por11.810.1$3,600 9.25$4,000 10.1$10
01-10@ SacNA0$3,500 0$3,500 0$10
01-09
01-08@ GSW12.83.6$3,500 3.75$3,800 3.6$13
01-07
01-06@ SAS15.33$3,800 3.5$4,500 3$16
01-05
01-04SAS20.919.9$4,700 21.75$4,600 19.9$18
01-03
01-02
01-01Min16.920.5$4,900 19.75$5,000 20.5$18
12-31
12-30@ Chi19.229.2$5,000 32.25$5,600 29.2$18
12-29
12-28Orl^26.642.3$4,100 47$4,300 42.3$10
12-27@ Atl^24.439.4$3,500 42.75$3,300 39.4$10
12-26
12-25@ Phi15.113.7$3,700 13.25$3,400 13.7$10
12-23
12-22Ind15.012.3$3,800 11.5$3,800 12.3$11
12-21@ NYK^19.314.3$3,800 16.5$3,300 14.3$11
12-20
12-19LAL16.613.6$3,600 12.25$3,600 13.6$11
12-18
12-17
12-16Dal17.319.2$3,500 21$4,400 19.2$13
12-15
12-14Cle17.216.6$3,500 17.75$4,900 16.6$13
12-13@ MemDNP0$3,800 0$4,600 0$13
12-12
12-11Nor^26.936.3$3,800 36.75$3,400 36.3$10
12-10
12-09Orl16.221.2$3,900 21.5$3,700 21.2$10
12-08
12-07
12-06LAC 9.919.3$3,700 20$3,600 19.3$10
12-05
12-04@ Det15.722.3$3,600 20.5$3,700 22.3$10
12-03
12-02NYK14.311.9$3,700 12.75$4,000 11.9$10
12-01
11-30Cha15.616.1$3,800 17.25$3,700 16.1$10
11-29@ Cle18.910$3,700 10.5$3,400 10$10
11-27Atl19.330.1$3,700 29.5$3,400 30.1$10
11-26
11-25Uta15.918$3,700 17.75$3,400 18$10
11-24
11-23DetNA0$3,700 0$3,600 0$10
11-22
11-21Por15.013.2$3,500 13.5$3,600 13.2$10
11-20@ AtlDNP0$3,500 0$3,100 0$10
11-19
11-18@ Chi15.316.8$3,500 16$3,100 16.8$10
11-17
11-16@ Ind13.28.7$3,500 8.75$3,200 8.7$10
11-15
11-14Chi 9.85.6$3,500 5.75$3,200 5.6$10
11-13
11-12
11-11
11-10@ OKC16.48.8$3,600 9$3,200 8.8$10
11-09
11-08@ Uta 8.21.5$3,600 1.5$3,300 1.5$10
11-07
11-06@ LAC13.911$3,700 10.25$3,300 11$10
11-05
11-04@ Min15.914.8$4,000 14$3,300 14.8$10
11-03
11-02Tor21.521.2$3,800 19.5$3,400 21.2$10
11-01@ Orl16.922$3,500 21.25$3,300 22$10
10-31
10-30@ Bos15.313.4$3,600 15.25$3,400 13.4$10
10-29
10-28Cle19.414.7$4,100 14.5$3,200 14.7$10
10-27
10-26Mia20.521.5$3,700 21.75 21.5$10
10-25
10-24@ Hou20.127.2$3,700 29.75$3,200 27.2$10
10-23
10-22
Preseason games
(Excluded from full season averages)
10-18
10-17Min16.222.9 23.25 22.9
10-16
10-15
10-14
10-13@ Was^18.832.1 31.75 32.1
10-12
10-11@ Dal16.926.9 28 26.9
10-10
10-09UtaDNP0 0 0
10-08
10-07@ ChiNA0 0 0
10-06
10-05
10-04
09-30

Click here for 2018-19 season history

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This report is based upon data which the Guru believes to be reliable, but for which no assurances of accuracy can be made.
Users who discover suspected errors are requested to report them to the Guru via email.