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2019-20 Individual Basketball Player Stats



Name: Randle, Julius
Team: NY Knicks
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
Thu, 02-20   Thu, 02-27 @ phi
Fri, 02-21 ind Fri, 02-28 
Sat, 02-22  Sat, 02-29 chi
Sun, 02-23  Sun, 03-01 
Mon, 02-24 @ houMon, 03-02 hou
Tue, 02-25  Tue, 03-03 
Wed, 02-26 @ chaWed, 03-04 uta

Game-by-Game History of Prices and Points
ScheduleFanDuelDraftKingsYahoo DFS
DateOppt.Minutes
(^ = starter)
FDPFD PriceDKPDK PriceSFPSF Price
53 games
27(a), 26(h)
33
34(a), 32(h)
36.0
37(a), 35(h)
full season averages 38.1
39(a), 37(h)
36.0
37(a), 35(h)
14 games
6(a), 8(h)
35
36(a), 34(h)
39.6
40(a), 39(h)
30 day averages 41.2
41(a), 41(h)
39.6
40(a), 39(h)
6 games
4(a), 2(h)
37
38(a), 34(h)
42.8
44(a), 41(h)
15 day averages 44.2
45(a), 42(h)
42.8
44(a), 41(h)
3 games
2(a), 1(h)
39
40(a), 38(h)
43.4
46(a), 37(h)
7 day averages 46.0
49(a), 41(h)
43.4
46(a), 37(h)
Daily results
(hover over any point total to see the underlying stats)
02-20
02-13
02-12Was^37.537.1$8,600 40.75$8,600 37.1$37
02-11
02-10
02-09@ Atl^46.261.1$8,200 64.5$8,400 61.1$33
02-08@ Det^34.131.9$8,000 32.75$8,500 31.9$33
02-07
02-06Orl^30.344.6$8,000 43$8,300 44.6$33
02-05
02-04
02-03@ Cle^38.337.1$7,700 37$8,500 37.1$33
02-02
02-01@ Ind^34.845.1$7,800 47$8,300 45.1$33
01-31
01-30
01-29Mem^35.638.8$7,500 42.5$8,300 38.8$33
01-28@ Cha^36.633$7,400 33.75$8,600 33$33
01-27
01-26Bkn^33.438.5$7,600 42.75$7,600 38.5$31
01-25
01-24Tor^34.045.2$7,600 45.25$8,000 45.2$33
01-23
01-22LAL^35.033.6$7,800 35$7,600 33.6$33
01-21
01-20@ Cle^27.333.3$8,000 33.25$7,700 33.3$30
01-19
01-18Phi^34.330.9$8,000 36.5$7,700 30.9$33
01-17
01-16Pho^35.543.7$7,900 43.5$8,000 43.7$33
01-15
01-14@ Mil^26.843.5$7,700 49.25$7,500 43.5$33
01-13
01-12Mia^32.845.6$7,500 45.5$7,700 45.6$33
01-11
01-10NorNA0$7,500 0$8,100 0$33
01-09
01-08@ UtaNA0$7,300 0$7,600 0$33
01-07@ LAL^31.533$7,100 35$7,300 33$33
01-06
01-05@ LAC^35.134.6$7,600 35 34.6$33
01-04
01-03@ Pho^34.639.1$7,600 39.75$7,700 39.1$33
01-02
01-01Por^29.945.1$7,500 48.25$8,000 45.1$33
12-31
12-30
12-29
12-28@ Was^38.656.2$7,800 61$7,200 56.2$29
12-27
12-26@ Bkn^35.043.6$7,000 47.5$6,800 43.6$29
12-25
12-23Was^37.150$6,900 50.75$6,700 50$25
12-22
12-21Mil^31.632.6$6,700 33.5$6,700 32.6$29
12-20@ Mia^23.325.1$6,700 25.5$7,100 25.1$29
12-19
12-18
12-17Atl^22.832.2$7,600 34.75$7,000 32.2$26
12-16
12-15@ Den^36.335.8$6,900 36.25$7,500 35.8$26
12-14
12-13@ Sac^30.640.8$6,600 43.75$6,900 40.8$25
12-12
12-11@ GSW^38.143.1$7,200 48.75$6,500 43.1$24
12-10@ Por^25.728.9$7,300 29.75$6,400 28.9$24
12-09
12-08
12-07Ind^35.436.9$7,300 38.5$6,000 36.9$26
12-06
12-05Den^21.415.8$7,200 16.5$6,300 15.8$27
12-04
12-03
12-02@ Mil^25.326.5$7,500 27.25$7,300 26.5$27
12-01Bos^33.731$7,300 33.25$6,800 31$27
11-30
11-29Phi^35.239$7,000 42.5$6,400 39$26
11-27@ Tor^23.828.1$7,000 30.5$6,400 28.1$29
11-26
11-25
11-24Bkn^31.828.6$8,000 30.5$7,100 28.6$30
11-23SAS^31.424.1$8,000 27$6,800 24.1$30
11-22
11-21
11-20@ Phi^35.536.6$7,400 36$7,000 36.6$30
11-19
11-18Cle^31.952.4$8,100 51.75$6,600 52.4$30
11-17
11-16Cha^25.628.4$8,100 29.25$6,400 28.4$28
11-15
11-14Dal^36.227.5$7,900 33$7,000 27.5$31
11-13
11-12@ Chi^36.732.7$7,700 32.5$7,200 32.7$29
11-11
11-10Cle^31.536.7$7,200 41.5$7,300 36.7$29
11-09
11-08@ Dal^36.235.6$7,000 38$6,900 35.6$29
11-07
11-06@ Det^32.328.6$7,100 30.25$6,800 28.6$30
11-05
11-04
11-03Sac^26.918.4$8,100 19.25$7,300 18.4$31
11-02
11-01@ Bos^33.624.5$8,200 27$7,600 24.5$34
10-31
10-30@ Orl^36.738.5$8,200 41$8,100 38.5$36
10-29
10-28Chi^32.729.3$8,800 35.5$8,300 29.3$37
10-27
10-26Bos^29.924.5$9,100 28$8,000 24.5$39
10-25@ Bkn^38.627.2$8,800 32.25$8,100 27.2$39
10-24
10-23@ SAS^35.455.2$8,100 55.25$7,800 55.2$38
10-22$8,100
Preseason games
(Excluded from full season averages)
10-18Nor^34.940.3 42.75 40.3
10-17
10-16Atl^34.839.6 38.5 39.6
10-15
10-14
10-13
10-12
10-11Was^28.630.6 32 30.6
10-10
10-09
10-08
10-07@ Was^26.829.9 31.25 29.9
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.