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FanDuel NBA Daily Lineup Optimizer – November 18 2017

Generate the optimal lineup for your daily fantasy NBA leagues on FanDuel. Email support@rotowire.com with questions.

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Today's Optimal Lineup For FanDuel
Lock Name Team OPP POS LU ML O/U TM/P MIN Salary FPTS Value Exclude

Are You Ready To See Today's Optimal FanDuel Lineup?

Optimizing Lineup...

If there are a large number of players, our lineup optimization process could take up to a minute to finish.

We couldn't generate a valid lineup.

Here are a few possible reasons why this may have happened:

  1. The pool of eligible players is too small.
  2. Too many players are locked in at a position.
  3. The locked in players are expensive enough that a valid lineup is impossible.
  4. The applied filters restrict the player pool too much.

Please contact support@rotowire.com if this error is still appearing after making the suggested adjustments to the player pool.

Tip: Exclude or lock players for different results.


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Generated Lineups
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Player Pool
All Players
PG
SG
SF
PF
C
Lock Name Team OPP POS LU ML O/U TM/P MIN Salary FPTS Value Exclude
Kevin Durant GSW @PHI SF E -410 232.5 120.5 34 5.08
Joel Embiid PHI GSW C E 315 232.5 112 31 4.29
Stephen Curry GSW @PHI PG E -410 232.5 120.5 34 5.23
Giannis Antetokounmpo MIL @DAL SF E -255 205 105.75 37 3.89
Damian Lillard POR SAC PG E -865 193 102.5 36 4.62
Ben Simmons PHI GSW PF E 315 232.5 112 33 4.17
James Harden HOU @MEM SG E -350 213.5 110.75 34 3.55
Blake Griffin LAC @CHA PF E 160 212.5 104 35 4.86
Kyrie Irving BOS @ATL PG E -260 202.5 104.5 35 5.01
Draymond Green GSW @PHI PF E -410 232.5 120.5 33 5.05
Marc Gasol MEM HOU C E 280 213.5 102.75 33 4.79
Louis Williams LAC @CHA SG - 160 212.5 104 36 5.49
DeAndre Jordan LAC @CHA C E 160 212.5 104 35 5.17
Tyreke Evans MEM HOU SG - 280 213.5 102.75 32 4.99
Kemba Walker GTD CHA LAC PG E -190 212.5 108.5 34 4.63
Derrick Favors UTA @ORL PF E 195 209 101.5 33 5.6
C.J. McCollum POR SAC SG E -865 193 102.5 35 4.77
Eric Bledsoe MIL @DAL PG E -255 205 105.75 34 5.26
Ricky Rubio GTD UTA @ORL PG E 195 209 101.5 34 4.94
Al Horford BOS @ATL C E -260 202.5 104.5 31 4.65
Dennis Schroder ATL BOS PG E 210 202.5 98 32 4.54
Jusuf Nurkic POR SAC C E -865 193 102.5 29 4.28
Donovan Mitchell UTA @ORL SG E 195 209 101.5 34 4.92
Dwight Howard CHA LAC C E -190 212.5 108.5 28 4.12
Klay Thompson GSW @PHI SG E -410 232.5 120.5 31 4.57
Harrison Barnes DAL MIL SF E 205 205 99.25 38 4.26
Nikola Vucevic ORL UTA C E -245 209 107.5 29 3.86
Robert Covington PHI GSW SF E 315 232.5 112 31 4.43
Dennis Smith DAL MIL PG E 205 205 99.25 31 4.3
Khris Middleton MIL @DAL SG E -255 205 105.75 36 4.09
Clint Capela HOU @MEM C E -350 213.5 110.75 28 4.15
Rodney Hood UTA @ORL SG - 195 209 101.5 34 5.12
Dario Saric PHI GSW PF E 315 232.5 112 31 6.32
Kent Bazemore ATL BOS SG E 210 202.5 98 30 5.18
Aaron Gordon ORL UTA PF E -245 209 107.5 33 3.9
Marcus Smart BOS @ATL SG - -260 202.5 104.5 30 4.97
Mario Chalmers MEM HOU PG E 280 213.5 102.75 30 6.92
Dirk Nowitzki DAL MIL PF E 205 205 99.25 28 5.58
Jose Barea DAL MIL SG - 205 205 99.25 27 5.45
Dewayne Dedmon ATL BOS C E 210 202.5 98 26 4.36
Joe Ingles UTA @ORL SF E 195 209 101.5 33 4.59
George Hill SAC @POR PG E 615 193 90.5 29 5.87
De'Aaron Fox SAC @POR PG - 615 193 90.5 29 5.03
T.J. McConnell PHI GSW PG - 315 232.5 112 26 4.97
Austin Rivers LAC @CHA SG E 160 212.5 104 34 4.5
Jaylen Brown BOS @ATL SF E -260 202.5 104.5 31 3.72
Zach Randolph SAC @POR PF E 615 193 90.5 22 4.74
Bogdan Bogdanovic SAC @POR SG E 615 193 90.5 29 6.88
Willie Cauley-Stein SAC @POR C E 615 193 90.5 22 5.67
Skal Labissiere SAC @POR PF - 615 193 90.5 23 6.26
Jayson Tatum BOS @ATL PF E -260 202.5 104.5 30 4.28
Malcolm Brogdon MIL @DAL SG - -255 205 105.75 31 4.19
Wesley Matthews DAL MIL SG E 205 205 99.25 33 4.45
Elfrid Payton ORL UTA PG E -245 209 107.5 26 3.4
John Henson MIL @DAL PF E -255 205 105.75 27 4.08
Eric Gordon HOU @MEM SG - -350 213.5 110.75 30 3.72
Taurean Prince ATL BOS SF E 210 202.5 98 29 3.71
John Collins ATL BOS PF - 210 202.5 98 23 4.62
Chris Paul HOU @MEM PG E -350 213.5 110.75 20 2.89
J.J. Redick PHI GSW SG E 315 232.5 112 30 4.12
Evan Fournier ORL UTA SF E -245 209 107.5 30 3.43
Nicolas Batum CHA LAC SG E -190 212.5 108.5 21 3.22
Trevor Ariza HOU @MEM SF E -350 213.5 110.75 30 3.78
Garrett Temple SAC @POR SG E 615 193 90.5 29 5.42
Jeremy Lamb CHA LAC SG - -190 212.5 108.5 23 4.43
Yogi Ferrell DAL MIL PG E 205 205 99.25 28 5.08
Michael Kidd-Gilchrist CHA LAC SF E -190 212.5 108.5 24 3.79
Maurice Harkless POR SAC SF E -865 193 102.5 27 4.9
Timothe Luwawu-Cabarrot PHI GSW SG - 315 232.5 112 28 6.47
Marcus Morris BOS @ATL PF E -260 202.5 104.5 25 4.11
Ryan Anderson HOU @MEM PF E -350 213.5 110.75 29 4.02
Jonathon Simmons ORL UTA SF - -245 209 107.5 28 4.13
Terrence Ross ORL UTA SG E -245 209 107.5 29 4.21
Evan Turner POR SAC SF - -865 193 102.5 24 4.26
Kosta Koufos SAC @POR C - 615 193 90.5 21 5.44
Andre Iguodala GSW @PHI SF - -410 232.5 120.5 23 4.71
Frank Kaminsky CHA LAC PF - -190 212.5 108.5 22 4.24
Wesley Johnson LAC @CHA SF E 160 212.5 104 24 4.78
Marco Belinelli ATL BOS SG - 210 202.5 98 24 4.02
Terry Rozier BOS @ATL PG - -260 202.5 104.5 21 4.76
Marvin Williams CHA LAC PF E -190 212.5 108.5 24 4.18
Dillon Brooks MEM HOU SF E 280 213.5 102.75 23 3.83
Cody Zeller CHA LAC C - -190 212.5 108.5 20 4.61
P.J. Tucker HOU @MEM SF - -350 213.5 110.75 26 4.12
Sindarius Thornwell LAC @CHA PG E 160 212.5 104 27 4.52
James Ennis MEM HOU SF E 280 213.5 102.75 25 5.03
Jawun Evans LAC @CHA PG - 160 212.5 104 22 4.26
Justin Jackson SAC @POR SF - 615 193 90.5 23 5.16
Ed Davis GTD POR SAC PF - -865 193 102.5 20 4.28
Ekpe Udoh UTA @ORL C - 195 209 101.5 17 4.54
Shelvin Mack ORL UTA PG - -245 209 107.5 25 3.84
Zaza Pachulia GSW @PHI C E -410 232.5 120.5 14 4.73
Chandler Parsons MEM HOU SF - 280 213.5 102.75 18 4.3
JaMychal Green MEM HOU PF E 280 213.5 102.75 18 3.83
Caleb Swanigan POR SAC PF E -865 193 102.5 17 4.96
Amir Johnson PHI GSW PF - 315 232.5 112 16 4.94
Richaun Holmes PHI GSW C - 315 232.5 112 14 4.21
Thon Maker MIL @DAL C - -255 205 105.75 19 4.17
Dwight Powell DAL MIL PF - 205 205 99.25 17 4.16
Malik Monk CHA LAC SG - -190 212.5 108.5 21 3.89
Tony Snell MIL @DAL SG E -255 205 105.75 29 3.97
Luc Mbah a Moute GTD HOU @MEM PF - -350 213.5 110.75 26 3.61
Alec Burks UTA @ORL SG - 195 209 101.5 15 4.37
Shabazz Napier POR SAC PG - -865 193 102.5 15 3.47
Ben McLemore MEM HOU SG - 280 213.5 102.75 19 4.47
JaVale McGee GSW @PHI C - -410 232.5 120.5 9 4.45
Jonas Jerebko UTA @ORL PF E 195 209 101.5 15 4.07
Ersan Ilyasova ATL BOS PF - 210 202.5 98 15 3.12
Andrew Harrison MEM HOU PG - 280 213.5 102.75 15 3.89
Noah Vonleh POR SAC PF - -865 193 102.5 17 3.27
Aron Baynes BOS @ATL C - -260 202.5 104.5 15 3.66
Thabo Sefolosha GTD UTA @ORL SF - 195 209 101.5 15 2.86
Willie Reed LAC @CHA C - 160 212.5 104 13 4.08
Mike Muscala ATL BOS C - 210 202.5 98 15 3.58
Tarik Black HOU @MEM PF - -350 213.5 110.75 14 3.56
Bismack Biyombo ORL UTA C - -245 209 107.5 16 3.66
Jordan Bell GSW @PHI PF - -410 232.5 120.5 9 3.85
Salah Mejri DAL MIL C - 205 205 99.25 12 3.37
Brandan Wright MEM HOU C - 280 213.5 102.75 11 3.31
Shaun Livingston GSW @PHI PG - -410 232.5 120.5 15 3.5
David West GSW @PHI PF - -410 232.5 120.5 8 2.63
Pat Connaughton POR SAC SG - -865 193 102.5 16 3.26
Patrick McCaw GSW @PHI SG - -410 232.5 120.5 16 3.24
Frank Mason SAC @POR PG - 615 193 90.5 12 3.07
DeAndre Liggins MIL @DAL SG - -255 205 105.75 17 3.03
Devin Harris DAL MIL SG - 205 205 99.25 11 2.58
Malcolm Delaney ATL BOS PG - 210 202.5 98 13 2.86
Nick Young GSW @PHI SG - -410 232.5 120.5 11 2.64
Marreese Speights ORL UTA C - -245 209 107.5 9 2.33
Daniel Theis BOS @ATL PF - -260 202.5 104.5 8 2.57
Montrezl Harrell LAC @CHA PF - 160 212.5 104 8 2.4
Nerlens Noel DAL MIL C - 205 205 99.25 7 2.32
Omri Casspi GSW @PHI SF - -410 232.5 120.5 9 2.27
Michael Carter-Williams CHA LAC PG - -190 212.5 108.5 8 2.11
Jarell Martin MEM HOU PF - 280 213.5 102.75 8 2.14
Luke Babbitt GTD ATL BOS PF E 210 202.5 98 10 1.8
Dwayne Bacon CHA LAC SF - -190 212.5 108.5 15 1.6
Semi Ojeleye BOS @ATL SF - -260 202.5 104.5 8 1.53
Royce O'Neale UTA @ORL SF - 195 209 101.5 5 1.47
Mario Hezonja ORL UTA SF - -245 209 107.5 7 1.37
Shane Larkin BOS @ATL PG - -260 202.5 104.5 6 1.35
Sam Dekker LAC @CHA SF - 160 212.5 104 5 1.34
Gary Payton MIL @DAL PG - -255 205 105.75 6 1.32
Raul Neto UTA @ORL PG - 195 209 101.5 5 0.94
Maxi Kleber DAL MIL PF - 205 205 99.25 6 1.24
Arron Afflalo ORL UTA SG - -245 209 107.5 8 1.16
DeAndre Bembry GTD ATL BOS SF - 210 202.5 98 5 0.96
Zach Collins POR SAC C - -865 193 102.5 4 1.08
Zhou Qi HOU @MEM C - -350 213.5 110.75 3 0.92
Rashad Vaughn MIL @DAL SG - -255 205 105.75 4 0.86
Tyler Dorsey ATL BOS PG - 210 202.5 98 5 0.79
Jeff Withey DAL MIL C - 205 205 99.25 2 0.62
Brice Johnson LAC @CHA PF - 160 212.5 104 1 0.49
Malachi Richardson SAC @POR SG - 615 193 90.5 1 0.21
Manually Add Player to Pool
Fill out the form below to add a missing player to your player pool. Players will be available to use in the lineup optimizer until the page is refreshed.
Team Stack Builder
Stack Generator
Build Stack
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
Lock Players
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
Lock Players
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
Lock Players
Generate Stack
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
4.49
112.85
$25,100
Lock Players
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
4.49
112.85
$25,100
Lock Players
New Stack
A stack could not be generated that matches the filters.
A lineup has been generated using players from this stack.
All of the players in this stack couldn't be used. The player has either been excluded from the pool or their position has been maxed out. Please check the player pool.
Not enough players were found that match the stack settings.
Player
Val
FPts
Salary
Pos
Team
Totals
4.49
112.85
$25,100
Lock Players
Player Pool Filters
Projection Filter (?)
Salary Filter (?)
Value Filter (?)
Moneyline Filter (?)
Over/Under Filter (?)
NBA Filters
Minutes Filter (?)

Apply Filters
Reset
Projection Models
RotoWire Model Projections based on advanced data, vegas metrics, player matchups, and RotoWire's own daily fantasy experts.

Applied
Average FanDuel Points (Last 20 Days) This model simply calculates the average FanDuel fantasy points a player has scored using data collected over the last 20 days.

Apply L20D Average Model
Ceiling/Upside Model Ceiling, or upside, is calculated by finding the average of the top FanDuel points scored, by each individual player, and weighting it based on their matchup.

This system is most useful for constructing tournament lineups.

Use Ceiling Model
Optimizer Settings
Reset Locked Players Remove the lock status from all players in the player pool.

Unlock All
Custom Projections and Salaries Re-apply or completely remove all customized projections and player salaries.

Customized player data is automatically reset at the beginning of each day.

Apply Customized Data
Custom Players Remove all players added to the player pool via the "Manually Add Player" module.

All added players will be removed at the beginning of each day.

Remove Added Players

Excluded Players List

These players will not be included in your optimal lineup.

Exclude Teams From The Player Pool
Saturday, November 18, 2017
Exclude Day
7:00 PM
UTA
@
ORL
ML: ORL -245
O/U: 209.0
LAC
@
CHA
ML: CHA -190
O/U: 212.5
BOS
@
ATL
ML: BOS -260
O/U: 202.5
GSW
@
PHI
ML: GSW -410
O/U: 232.5
8:00 PM
HOU
@
MEM
ML: HOU -350
O/U: 213.5
9:00 PM
MIL
@
DAL
ML: MIL -255
O/U: 205.0
10:00 PM
SAC
@
POR
ML: POR -865
O/U: 193.0
11:46:38 22:00:00