×

Create User Account

Create Account An email will be sent to you for verification before account will be active.

Enter Verification Code

A 4 digit verification code has been emailed to you. Please enter the code here.

If you have not received your verification code, please check your spam folder, or click here to resend the code.

Fanduel - WNBA 2017-09-14
Filter Players
Apply filters
Projected Score
Salary
Projected Mins
Value
Defense v Pos
Consistency
  • ALL
  • G
  • F
  • All
  • My Pool
  • Excluded Players
  • Locks
  • Injuries
 Pos Team Opp Def v Pos Salary Floor Ceiling FPG FPPM USG MPG Proj Mins FC Proj My Proj Exposure Con. Value Mins Score Val
Brittney Griner
F PHO @ LAS 2nd 8700 6.4 50.8 37.4 1.18 34.3 31.6 31.60 25.43 25.43 % 66 2.9 36 31.00 3.6
Nneka Ogwumike
F LAS vs PHO 2nd 8400 14.9 46.7 34.3 1.14 29.7 30.1 29.73 28.56 28.56 % 73 3.4 31 33.30 4
Elena Delle Donne
F WAS @ MIN 5th 8300 10.6 51.4 33.4 1.10 30.8 30.3 30.73 28.07 28.07 % 65 3.4 38 30.50 3.7
Candace Parker
F LAS vs PHO 2nd 8000 16 52.4 36.0 1.21 32.2 29.7 30.07 31.55 31.55 % 71 3.9 36 55.60 7
Sylvia Fowles
F MIN vs WAS 5th 7800 12.2 51.9 36.9 1.24 28.4 29.8 30.93 29.25 29.25 % 69 3.8 36 49.80 6.4
Maya Moore
F MIN vs WAS 8th 7700 17 46.2 31.3 1.03 29.2 30.5 31.53 29.52 29.52 % 73 3.8 36 39.50 5.1
Krystal Thomas
F WAS @ MIN 1st 6900 8 36.9 22.0 0.86 15.9 25.6 28.80 20.39 20.39 % 63 3 22 10.40 1.5
Emma Meesseman
F WAS @ MIN 1st 6600 5.9 44.3 28.4 0.99 27.2 28.7 30.60 22.36 22.36 % 61 3.4 23 15.20 2.3
Diana Taurasi
G PHO @ LAS 1st 6300 8 38.7 24.7 0.89 32.6 27.9 27.60 21.15 21.15 % 64 3.4 32 33.00 5.2
Chelsea Gray
G LAS vs PHO 6th 6200 15.5 42.5 25.8 0.80 23.4 32.2 33.47 27.06 27.06 % 70 4.4 37 32.20 5.2
Odyssey Sims
G LAS vs PHO 6th 6200 9.2 49.6 19.0 0.78 23.2 24.3 32.87 26.48 26.48 % 39 4.3 36 33.50 5.4
Kristi Toliver
G WAS @ MIN 2nd 5900 7.8 38.6 19.7 0.69 23.7 28.7 29.00 21.00 21.00 % 55 3.6 36 38.20 6.5
Leilani Mitchell
G PHO @ LAS 1st 5600 3 32.6 17.8 0.81 23.1 21.9 22.20 15.67 15.67 % 52 2.8 35 20.20 3.6
Renee Montgomery
G MIN vs WAS 10th 5000 5.9 35 15.1 0.71 22.3 21.3 27.07 18.36 18.36 % 45 3.7 19 8.70 1.7
Monique Currie
G PHO @ LAS 3rd 4700 0.9 38.7 18.9 0.90 27.6 21.0 21.47 17.07 17.07 % 43 3.6 13 8.10 1.7
Alana Beard
G LAS vs PHO 6th 4200 5.1 27.4 17.9 0.59 13.9 30.4 28.13 14.68 14.68 % 64 3.5 25 13.40 3.2
Seimone Augustus
G MIN vs WAS 10th 4200 12.4 33.9 20.5 0.76 21.9 26.8 27.13 21.59 21.59 % 70 5.1 31 24.60 5.9
Yvonne Turner
G PHO @ LAS 1st 4100 0.1 23.3 8.9 0.67 26.0 13.3 15.87 10.03 10.03 % 25 2.4 24 17.30 4.2
Tierra Ruffin-Pratt
G WAS @ MIN 2nd 4100 3.6 31 18.8 0.79 22.4 23.8 25.60 15.37 15.37 % 58 3.7 28 14.30 3.5
Plenette Pierson
F MIN vs WAS 8th 3800 2.1 23.2 10.1 0.76 24.1 13.3 15.47 11.14 11.14 % 40 2.9 2 -1.00
Camille Little
F PHO @ LAS 3rd 3800 0.7 27.6 14.9 0.59 18.8 25.4 26.33 12.22 12.22 % 49 3.2 28 2.20 0.6
Lindsay Whalen
G MIN vs WAS 10th 3700 6.4 27.6 15.7 0.69 21.4 22.9 22.73 15.49 15.49 % 61 4.2 20 27.10 7.3
Rebekkah Brunson
F MIN vs WAS 8th 3700 8.3 32.5 21.5 0.83 22.5 25.8 24.27 18.71 18.71 % 68 5.1 34 27.50 7.4
Natasha Howard
F MIN vs WAS 8th 3600 0 25.5 9.7 0.87 22.5 11.2 12.53 10.62 10.62 % 23 3 7 3.00 0.8
Jia Perkins
G MIN vs WAS 10th 3400 1.2 28.5 10.2 0.64 18.7 15.9 18.93 12.86 12.86 % 24 3.8 12 6.90 2
Jantel Lavender
F LAS vs PHO 3rd 3400 4.6 24.1 12.1 0.72 26.6 16.9 18.20 12.97 12.97 % 54 3.8 10 8.40 2.5
Angel Robinson
F PHO @ LAS 3rd 3400 0 16.1 9.0 0.62 12.3 14.5 5.53 2.49 2.49 % 24 0.7 9 4.90 1.4
Tianna Hawkins
F WAS @ MIN 5th 3200 1.4 22.5 13.0 0.82 22.2 15.9 14.00 10.45 10.45 % 54 3.3 15 8.20 2.6
Natasha Cloud
G WAS @ MIN 2nd 3100 0.1 22.5 12.1 0.68 19.0 17.7 17.00 9.71 9.71 % 47 3.1 23 18.00 5.8
Alexis Jones
G MIN vs WAS 10th 3100 0 18.9 4.5 0.65 23.8 6.9 9.53 6.67 6.67 % 0 2.2 0 0.00
Emma Cannon
F PHO @ LAS 3rd 3100 0 23.8 8.7 0.71 19.6 12.3 16.07 10.08 10.08 % 21 3.3 4 2.40 0.8
Stephanie Talbot
G PHO @ LAS 1st 3000 0 19.9 10.8 0.63 15.3 17.1 12.87 6.50 6.50 % 38 2.2 0 0.00
Cayla George
F PHO @ LAS 3rd 3000 0 23.7 8.0 0.70 20.1 11.4 11.47 7.35 7.35 % 0 2.5 0 -1.00
Alexis Prince
G PHO @ LAS 1st 3000 0 14.2 4.5 0.65 22.7 6.9 6.93 3.89 3.89 % 0 1.3 0 0.00
Danielle Robinson
G PHO @ LAS 1st 3000 0 27 15.2 0.69 20.4 22.0 18.40 9.87 9.87 % 44 3.3 12 4.50 1.5
Sydney Wiese
G LAS vs PHO 6th 3000 0 15.3 4.3 0.54 16.4 7.9 8.00 3.63 3.63 % 0 1.2 0 0.00
Allison Hightower
F WAS @ MIN 2nd 3000 0 17.5 7.7 0.66 24.4 11.6 11.57 7.49 7.49 % 35 2.5 10 11.60 3.9
Essence Carson
G LAS vs PHO 2nd 3000 0 17.7 9.5 0.51 16.1 18.7 17.13 6.77 6.77 % 43 2.3 14 5.00 1.7
Shatori Walker-Kimbrough
G WAS @ MIN 2nd 3000 0 21.8 6.9 0.59 19.5 11.7 15.33 8.25 8.25 % 2 2.8 0 0.00
Asia Taylor
F WAS @ MIN 5th 3000 0 13.2 5.5 0.82 21.5 6.7 6.80 5.23 5.23 % 27 1.7 0 0.00
Ivory Latta
G WAS @ MIN 2nd 3000 0 18.3 11.3 0.71 29.3 15.9 13.73 7.69 7.69 % 53 2.6 0 0.00
All
None
My Projections
Add Selected to Group
Create New Group
×
Save General Settings Load Saved Settings Restore Default Settings
Save As
Name is invalid.
Save General Settings
Load Settings
Save Name Last Saved Delete
No saved settings found
Load Settings Please select a save file.
Unique Players
Team Salary
Max salary is $40,000 if left blank.
Global Exposure Setting
apply exposure as
Randomness Setting
0%
Players Per Team Change All MAX
MIN MAX MIN MAX
WAS
@
MIN
PHO
@
LAS
Add Stack (you can add up to 3) Click here for more info
Positional Stacking
Create New Stacking Rule
Stack with of Positions From
Stacking Rules
Load Saved Groups
Save Name Last Saved Delete
No saved settings found
Load Groups There was an error loading your groups.
Enable all groups Disable all groups Delete all groups
×
Save As Name is invalid.
Save Playerpool
×
Load Playerpool
Save Name Last Saved
No Saved playerpools found
Selected  
Load Playerpool Please select a save file.
×
Load Saved Crunches
Name Number of Teams Last Saved Delete
Name Number of Teams
Load Selected Crunches
 Delete Selected Crunches
recover deleted tabs

  1. Take a tour

    Check out the features of Lineup Rewind.

  2. Sport Selection

    Select a sport (NBA, NFL) from this drop down menu.

  3. Site Selection

    Select a site (Fanduel, Draftkings etc.) from this drop down menu.

  4. Game Filter

    Use the Game Filter to remove any games you dont want to use. Useful for contests like Late Night NBA, or Sun/Mon night NFL.

  5. Score filter

    Select between projected score and actual scores from the day.

  6. Calculate Teams

    Hit 'calculate' to have Fantasy Cruncher create the best teams based on the actual data.

  7. Tour End

    Thanks for checking out the tour! If you want to use this tool to crunch numbers for fresh games, use lineup cruncher instead! If you have any more questions, check out our tutorials, browse the forums, or send us a message at support@fantasycruncher.com.