We have pushed out an update to the FC software, click here to get a full rundown Dismiss (Do not show again) ×
Draftkings - NHL
2018-04-21
Filter Players
Apply filters
Line
Power Play Unit
Projected Score
Salary
Value
Consistency
  • ALL
  • C
  • W
  • D
  • G
  • All
  • My Pool
  • Excluded Players
  • Locks
  • Injuries
All
None
My Projections
Add Selected to Group
Create New Group
Pos Team Opp Status / Line PP Unit Goals Win % Salary Ceiling Avg FC Proj My Proj
Exp.
Used
Con. Value Actual Score Actual Val
Tuukka Rask
G BOS vs TOR prob 2.24 66.7% 8500 12.8 4.5 4.97 4.97 % % 61 0.60 -2.2
Andrei Vasilevskiy
G TB vs NJ prob 2.27 71.4% 8300 13.6 4.8 5.20 5.20 % % 65 0.60 7.2 0.9
Anton Khudobin
G BOS vs TOR 2.24 66.7% 8300 12.2 3.3 4.32 4.32 % % 50 0.50 3.6 0.4
Peter Budaj
G TB vs NJ 2.27 71.4% 8100 12.8 2.9 2.84 2.84 % % 45 0.40 0.0
Louis Domingue
G TB vs NJ 2.27 71.4% 8100 10.2 3.5 4.61 4.61 % % 54 0.60
Braden Holtby
G WSH vs CBJ prob 2.35 63% 8000 11.6 5.0 4.02 4.02 % % 67 0.50 7.8 1
Alex Ovechkin
W WSH vs CBJ 1 1 3.15 63% 7900 17.5 4.9 6.27 6.27 % % 67 0.80 3.5 0.4
Nikita Kucherov
W TB vs NJ 1 1 3.73 71.4% 7800 16.5 4.1 6.65 6.65 % % 64 0.90 6.5 0.8
Philipp Grubauer
G WSH vs CBJ 2.35 63% 7800 12.8 4.0 5.37 5.37 % % 57 0.70
Taylor Hall
W NJ @ TB 1 1 2.27 28.6% 7700 13.0 4.0 4.55 4.55 % % 67 0.60 2.5 0.3
Sergei Bobrovsky
G CBJ @ WSH prob 3.15 37% 7700 12.8 4.9 4.40 4.40 % % 64 0.60 1.0 0.1
Joonas Korpisalo
G CBJ @ WSH 3.15 37% 7500 10.2 4.3 3.54 3.54 % % 64 0.50
Frederik Andersen
G TOR @ BOS prob 3.27 33.3% 7300 13.4 4.8 3.85 3.85 % % 63 0.50 8.4 1.2
Curtis McElhinney
G TOR @ BOS 3.27 33.3% 7100 13.2 3.8 4.23 4.23 % % 55 0.60
Brad Marchand
W BOS vs TOR 1 1 3.27 66.7% 7100 18.0 3.8 5.65 5.65 % % 61 0.80 1.0 0.1
Patrice Bergeron
C BOS vs TOR 1 1 3.27 66.7% 7100 20.0 3.8 3.00 3.00 % % 63 0.40 3.0 0.4
Cory Schneider
G NJ @ TB prob 3.73 28.6% 7000 12.6 4.1 2.33 2.33 % % 60 0.30 5.0 0.7
Keith Kinkaid
G NJ @ TB 3.73 28.6% 7000 12.6 3.8 3.85 3.85 % % 55 0.60
David Pastrnak
W BOS vs TOR 1 1 3.27 66.7% 7000 19.0 3.6 6.66 6.66 % % 60 1.00 5.0 0.7
Steven Stamkos
C TB vs NJ 1 1 3.73 71.4% 6900 17.0 3.9 4.60 4.60 % % 62 0.70 3.5 0.5
Artemi Panarin
W CBJ @ WSH 1 1 2.35 37% 6800 15.0 3.7 4.29 4.29 % % 62 0.60 2.5 0.4
Auston Matthews
C TOR @ BOS 1 2 2.24 33.3% 6700 16.5 4.1 3.74 3.74 % % 65 0.60 4.0 0.6
Eddie Lack
G NJ @ TB 3.73 28.6% 6500 11.8 3.5 2.53 2.53 % % 50 0.40 0.0
MacKenzie Blackwood
G NJ @ TB 3.73 28.6% 6500 2.82 2.82 % % 0 0.40
Ken Appleby
G NJ @ TB 3.73 28.6% 6500 6.8 3.8 3.74 3.74 % % 72 0.60
Edward Pasquale
G TB vs NJ 2.27 71.4% 6500 4.11 4.11 % % 0 0.60
Connor Ingram
G TB vs NJ 2.27 71.4% 6500 4.11 4.11 % % 0 0.60
Zane McIntyre
G BOS vs TOR 2.24 66.7% 6500 1.2 0.5 3.24 3.24 % % 35 0.50
Garret Sparks
G TOR @ BOS 3.27 33.3% 6500 9.8 3.1 2.99 2.99 % % 53 0.50
Kasimir Kaskisuo
G TOR @ BOS 3.27 33.3% 6500 2.96 2.96 % % 0 0.50
Pheonix Copley
G WSH vs CBJ 2.35 63% 6500 0.0 0.0 2.86 2.86 % % 0 0.40 0.0
Vitek Vanecek
G WSH vs CBJ 2.35 63% 6500 3.86 3.86 % % 0 0.60
Jeff Zatkoff
G CBJ @ WSH 3.15 37% 6500 10.0 2.4 2.65 2.65 % % 32 0.40 0.0
Matiss Kivlenieks
G CBJ @ WSH 3.15 37% 6500 0.0 0.0 2.09 2.09 % % 0 0.30 0.0
Evgeny Kuznetsov
C WSH vs CBJ 1 1 3.15 63% 6400 18.5 3.0 5.26 5.26 % % 57 0.80 3.5 0.5
Brayden Point
C TB vs NJ 2 2 3.73 71.4% 6100 10.5 3.2 5.19 5.19 % % 63 0.90 2.0 0.3
John Carlson
D WSH vs CBJ 1 1 3.15 63% 6000 11.0 3.9 5.40 5.40 % % 72 0.90 3.5 0.6
Cam Atkinson
W CBJ @ WSH 1 1 2.35 37% 6000 15.5 3.4 4.26 4.26 % % 62 0.70 3.0 0.5
Torey Krug
D BOS vs TOR 2 1 3.27 66.7% 5800 12.5 3.2 4.97 4.97 % % 66 0.90 8.0 1.4
Mitchell Marner
W TOR @ BOS 2 1 2.24 33.3% 5700 14.5 3.2 3.65 3.65 % % 60 0.60 3.0 0.5
Nicklas Backstrom
C WSH vs CBJ 2 1 3.15 63% 5700 14.5 3.4 4.58 4.58 % % 62 0.80 9.5 1.7
Seth Jones
D CBJ @ WSH 1 1 2.35 37% 5600 11.0 2.9 3.66 3.66 % % 64 0.70 4.0 0.7
Kyle Palmieri
W NJ @ TB 1 1 2.27 28.6% 5500 11.0 3.1 3.17 3.17 % % 62 0.60 3.5 0.6
Nazem Kadri
C TOR @ BOS 2.24 33.3% 5500 0.00 3.2 0.00 0.00 % % 63 0.00 3.5 0.6
Victor Hedman
D TB vs NJ 1 1 3.73 71.4% 5400 13.0 3.6 5.83 5.83 % % 66 1.10 2.5 0.5
William Nylander
W TOR @ BOS 1 2 2.24 33.3% 5300 12.5 3.0 2.43 2.43 % % 61 0.50 0.5 0.1
J.T. Miller
W TB vs NJ 1 1 3.73 71.4% 5200 15.5 2.5 4.75 4.75 % % 55 0.90 1.5 0.3
David Krejci
C BOS vs TOR 2 2 3.27 66.7% 5200 12.5 2.8 3.59 3.59 % % 59 0.70 0.5 0.1
Rick Nash
W BOS vs TOR 2 1 3.27 66.7% 5100 15.5 3.4 2.22 2.22 % % 62 0.40 2.0 0.4
James van Riemsdyk
W TOR @ BOS 3 1 2.24 33.3% 5100 15.5 3.5 3.19 3.19 % % 63 0.60 7.0 1.4
T.J. Oshie
W WSH vs CBJ 2 1 3.15 63% 5000 15.0 3.2 3.24 3.24 % % 56 0.60 6.5 1.3
Pierre-luc Dubois
C CBJ @ WSH 1 1 2.35 37% 5000 14.0 2.7 2.85 2.85 % % 54 0.60 1.5 0.3
Ondrej Palat
W TB vs NJ 2 2 3.73 71.4% 4900 11.5 3.0 3.47 3.47 % % 60 0.70 2.0 0.4
Morgan Rielly
D TOR @ BOS 1 1 2.24 33.3% 4900 12.0 2.8 2.76 2.76 % % 66 0.60 3.0 0.6
Tyler Johnson
W TB vs NJ 2 2 3.73 71.4% 4800 16.0 3.2 3.33 3.33 % % 59 0.70 3.0 0.6
Yanni Gourde
W TB vs NJ 3 2 3.73 71.4% 4700 10.5 2.7 3.94 3.94 % % 54 0.80 2.0 0.4
Nico Hischier
C NJ @ TB 1 2 2.27 28.6% 4700 9.0 2.8 2.35 2.35 % % 60 0.50 0.0
Zach Werenski
D CBJ @ WSH 1 2 2.35 37% 4700 10.0 3.1 2.44 2.44 % % 65 0.50 3.0 0.6
Alex Killorn
W TB vs NJ 3 1 3.73 71.4% 4600 12.5 2.5 3.71 3.71 % % 57 0.80 1.5 0.3
Sami Vatanen
D NJ @ TB 1 2 2.27 28.6% 4500 9.5 2.8 2.60 2.60 % % 66 0.60 0.0
Patrick Marleau
W TOR @ BOS 2 2 2.24 33.3% 4500 16.5 2.9 2.80 2.80 % % 60 0.60 1.0 0.2
Nick Foligno
C CBJ @ WSH 2 2 2.35 37% 4500 15.0 2.9 1.89 1.89 % % 59 0.40 1.0 0.2
Ryan McDonagh
D TB vs NJ 2 2 3.73 71.4% 4400 10.0 2.9 2.33 2.33 % % 66 0.50 2.5 0.6
Boone Jenner
W CBJ @ WSH 2 2 2.35 37% 4400 10.5 3.0 2.97 2.97 % % 63 0.70 3.0 0.7
Zdeno Chara
D BOS vs TOR 1 3.27 66.7% 4300 9.0 2.6 2.49 2.49 % % 64 0.60 2.0 0.5
Thomas Vanek
W CBJ @ WSH 2 1 2.35 37% 4300 15.5 2.7 2.60 2.60 % % 54 0.60 2.0 0.5
Alexander Wennberg
C CBJ @ WSH 2.35 37% 4300 0.00 2.1 0.00 0.00 % % 54 0.00 3.5 0.8
Charlie McAvoy
D BOS vs TOR 1 2 3.27 66.7% 4200 8.5 1.9 1.59 1.59 % % 52 0.40 1.5 0.4
Jake DeBrusk
W BOS vs TOR 2 2 3.27 66.7% 4200 9.0 2.3 2.51 2.51 % % 48 0.60 3.0 0.7
Will Butcher
D NJ @ TB 3 1 2.27 28.6% 4100 7.0 2.1 1.67 1.67 % % 58 0.40 3.0 0.7
Tyler Bozak
C TOR @ BOS 3 1 2.24 33.3% 4100 14.0 2.6 2.22 2.22 % % 55 0.50 6.0 1.5
Tom Wilson
W WSH vs CBJ 1 3.15 63% 4100 13.5 1.5 3.12 3.12 % % 39 0.80 1.0 0.2
Jake Gardiner
D TOR @ BOS 2 2 2.24 33.3% 3900 9.5 2.3 2.34 2.34 % % 60 0.60 2.0 0.5
David Backes
W BOS vs TOR 3 2 3.27 66.7% 3900 16.5 3.0 2.34 2.34 % % 59 0.60 4.5 1.2
Zach Hyman
W TOR @ BOS 1 2.24 33.3% 3800 8.5 2.3 1.87 1.87 % % 61 0.50 3.0 0.8
Matt Niskanen
D WSH vs CBJ 2 2 3.15 63% 3800 9.5 2.5 3.22 3.22 % % 64 0.80 3.0 0.8
Mikhail Sergachev
D TB vs NJ 3 3.73 71.4% 3700 7.5 2.2 2.82 2.82 % % 59 0.80 4.0 1.1
Josh Anderson
W CBJ @ WSH 3 2 2.35 37% 3700 10.5 2.1 0.90 0.90 % % 49 0.20 1.0 0.3
Lars Eller
C WSH vs CBJ 3 2 3.15 63% 3700 10.0 2.1 3.08 3.08 % % 55 0.80 0.5 0.1
Patrick Maroon
W NJ @ TB 2 1 2.27 28.6% 3600 13.5 2.2 1.44 1.44 % % 52 0.40 4.0 1.1
Travis Zajac
C NJ @ TB 3 1 2.27 28.6% 3600 13.5 2.2 1.82 1.82 % % 49 0.50 1.0 0.3
Dmitry Orlov
D WSH vs CBJ 2 2 3.15 63% 3600 9.0 2.0 2.57 2.57 % % 60 0.70 6.5 1.8
Kevan Miller
D BOS vs TOR 2 3.27 66.7% 3500 6.0 1.7 2.69 2.69 % % 59 0.80 0.5 0.1
Riley Nash
C BOS vs TOR 3 3.27 66.7% 3500 10.5 1.8 2.32 2.32 % % 50 0.70 0.5 0.1
Andre Burakovsky
W WSH vs CBJ 3.15 63% 3500 0.00 2.0 0.00 0.00 % % 49 0.00 0.0
Ryan Donato
W BOS vs TOR 3.27 66.7% 3400 0.00 1.8 0.00 0.00 % % 43 0.00 0.0
Ian Cole
D CBJ @ WSH 2 2.35 37% 3400 7.5 2.0 1.62 1.62 % % 61 0.50 3.5 1
Tomas Plekanec
C TOR @ BOS 2 2.24 33.3% 3300 12.0 2.7 1.23 1.23 % % 61 0.40 0.5 0.2
Michal Kempny
D WSH vs CBJ 1 3.15 63% 3300 6.0 1.4 2.20 2.20 % % 50 0.70 4.0 1.2
Blake Coleman
W NJ @ TB 3 2.27 28.6% 3200 9.0 1.9 2.28 2.28 % % 53 0.70 0.5 0.2
Anthony Cirelli
C TB vs NJ 3 3.73 71.4% 3200 9.0 2.2 3.11 3.11 % % 37 1.00 2.5 0.8
Ron Hainsey
D TOR @ BOS 1 2.24 33.3% 3200 8.5 1.9 1.51 1.51 % % 62 0.50 2.0 0.6
Connor Brown
W TOR @ BOS 3 2.24 33.3% 3200 13.0 2.0 1.26 1.26 % % 49 0.40 4.0 1.3
Chandler Stephenson
W WSH vs CBJ 2 3.15 63% 3200 7.0 0.9 0.90 0.90 % % 29 0.30 4.0 1.3
Andy Greene
D NJ @ TB 1 2.27 28.6% 3100 9.0 2.0 1.74 1.74 % % 67 0.60 2.0 0.6
Dan Girardi
D TB vs NJ 1 3.73 71.4% 3100 8.5 2.3 2.70 2.70 % % 67 0.90 1.5 0.5
Marcus Johansson
W NJ @ TB 2 2.27 28.6% 3100 10.0 2.3 1.13 1.13 % % 52 0.40 1.0 0.3
Danton Heinen
W BOS vs TOR 3 3.27 66.7% 3100 8.5 2.3 2.10 2.10 % % 56 0.70 0.0
Sean Kuraly
C BOS vs TOR 4 3.27 66.7% 3100 9.5 1.5 1.45 1.45 % % 43 0.50 4.0 1.3
John Moore
D NJ @ TB 2 2 2.27 28.6% 3000 9.5 1.9 1.68 1.68 % % 59 0.60 2.0 0.7
Anton Stralman
D TB vs NJ 2 3.73 71.4% 3000 10.0 2.2 2.56 2.56 % % 62 0.90 2.5 0.8
Stefan Noesen
W NJ @ TB 3 2.27 28.6% 3000 8.0 1.7 2.02 2.02 % % 47 0.70 0.0
Miles Wood
W NJ @ TB 4 2.27 28.6% 3000 16.0 2.0 1.39 1.39 % % 43 0.50 0.0
Pavel Zacha
C NJ @ TB 2 2.27 28.6% 3000 7.5 1.6 1.29 1.29 % % 48 0.40 1.5 0.5
Adam McQuaid
D BOS vs TOR 3 3.27 66.7% 3000 7.0 1.5 1.69 1.69 % % 59 0.60 0.0
Nikita Zaitsev
D TOR @ BOS 2 2.24 33.3% 3000 7.5 2.2 0.93 0.93 % % 63 0.30 2.0 0.7
Leo Komarov
W TOR @ BOS 2.24 33.3% 3000 0.00 1.9 0.00 0.00 % % 47 0.00 0.0
David Savard
D CBJ @ WSH 2 2.35 37% 3000 10.5 2.4 1.78 1.78 % % 64 0.60 3.0 1
Oliver Bjorkstrand
W CBJ @ WSH 4 2 2.35 37% 3000 9.0 2.4 1.60 1.60 % % 55 0.50 4.5 1.5
Jakub Vrana
W WSH vs CBJ 4 3.15 63% 3000 8.5 1.7 1.81 1.81 % % 48 0.60 0.5 0.2
Matt Calvert
W CBJ @ WSH 4 2.35 37% 3000 9.0 1.9 1.45 1.45 % % 52 0.50 10.5 3.5
Brandon Dubinsky
C CBJ @ WSH 3 2.35 37% 3000 9.5 2.4 0.87 0.87 % % 58 0.30 0.5 0.2
Damon Severson
D NJ @ TB 2 2.27 28.6% 2900 8.5 1.8 1.44 1.44 % % 57 0.50 0.0
Michael Grabner
W NJ @ TB 2.27 28.6% 2900 0.00 2.3 0.00 0.00 % % 49 0.00 0.0
Jesper Bratt
W NJ @ TB 2 2.27 28.6% 2900 10.5 1.7 0.00 0.00 % % 39 0.00 2.5 0.9
Travis Dermott
D TOR @ BOS 3 2.24 33.3% 2900 8.0 1.7 1.23 1.23 % % 53 0.40 1.0 0.3
Noel Acciari
C BOS vs TOR 4 3.27 66.7% 2900 6.0 1.1 1.49 1.49 % % 39 0.50 6.0 2.1
Markus Nutivaara
D CBJ @ WSH 3 2.35 37% 2900 7.0 1.4 1.42 1.42 % % 51 0.50 0.5 0.2
Devante Smith-Pelly
W WSH vs CBJ 3 2 3.15 63% 2900 10.5 1.6 1.04 1.04 % % 48 0.40 1.0 0.3
Brett Connolly
W WSH vs CBJ 3 2 3.15 63% 2900 8.0 1.6 1.47 1.47 % % 46 0.50 0.5 0.2
Steve Santini
D NJ @ TB 2.27 28.6% 2800 0.00 1.6 0.00 0.00 % % 50 0.00 0.0
Braydon Coburn
D TB vs NJ 3 3.73 71.4% 2800 7.0 1.5 1.72 1.72 % % 60 0.60 0.0
Drew Stafford
W NJ @ TB 4 2.27 28.6% 2800 12.0 2.0 0.47 0.47 % % 49 0.20 0.0
Brian Gibbons
W NJ @ TB 2.27 28.6% 2800 0.00 2.0 0.00 0.00 % % 49 0.00 0.0
Ryan Callahan
W TB vs NJ 3.73 71.4% 2800 0.00 2.3 0.00 0.00 % % 54 0.00 4.5 1.6
Cory Conacher
W TB vs NJ 4 3.73 71.4% 2800 7.0 1.1 0.89 0.89 % % 28 0.30 0.0
Chris Kunitz
W TB vs NJ 4 3.73 71.4% 2800 9.5 2.1 2.24 2.24 % % 53 0.80 0.5 0.2
Brian Boyle
C NJ @ TB 4 2 2.27 28.6% 2800 9.5 1.9 0.95 0.95 % % 52 0.30 0.0
Kevin Rooney
C NJ @ TB 2.27 28.6% 2800 0.00 0.5 0.00 0.00 % % 29 0.00 0.0
Michael Bournival
C TB vs NJ 3.73 71.4% 2800 0.00 1.2 0.00 0.00 % % 33 0.00
Matthew Peca
C TB vs NJ 3.73 71.4% 2800 0.00 1.4 0.00 0.00 % % 21 0.00
Cedric Paquette
C TB vs NJ 4 3.73 71.4% 2800 14.0 1.3 1.52 1.52 % % 32 0.50 0.0
Nick Holden
D BOS vs TOR 3.27 66.7% 2800 0.00 1.8 0.00 0.00 % % 57 0.00 0.0
Matt Grzelcyk
D BOS vs TOR 3 2 3.27 66.7% 2800 8.0 1.4 1.57 1.57 % % 48 0.60 3.0 1.1
Roman Polak
D TOR @ BOS 3 2.24 33.3% 2800 8.0 1.7 1.21 1.21 % % 60 0.40 2.5 0.9
Tommy Wingels
W BOS vs TOR 3.27 66.7% 2800 0.00 1.7 0.00 0.00 % % 48 0.00 0.0
Brian Gionta
W BOS vs TOR 3.27 66.7% 2800 0.00 2.3 0.00 0.00 % % 54 0.00 0.0
Kasperi Kapanen
W TOR @ BOS 4 2 2.24 33.3% 2800 8.0 1.2 0.85 0.85 % % 40 0.30 0.5 0.2
Ken Agostino
W BOS vs TOR 3.27 66.7% 2800 0.00 1.1 0.00 0.00 % % 42 0.00
Tim Schaller
W BOS vs TOR 4 3.27 66.7% 2800 7.5 1.6 1.71 1.71 % % 50 0.60 3.0 1.1
Peter Cehlarik
W BOS vs TOR 3.27 66.7% 2800 0.00 1.0 0.00 0.00 % % 40 0.00
Anders Bjork
W BOS vs TOR 3.27 66.7% 2800 0.00 1.4 0.00 0.00 % % 26 0.00
Brooks Orpik
D WSH vs CBJ 3 3.15 63% 2800 7.0 1.9 1.87 1.87 % % 66 0.70 1.5 0.5
Jakub Jerabek
D WSH vs CBJ 3.15 63% 2800 0.00 1.0 0.00 0.00 % % 34 0.00 0.0
Ryan Murray
D CBJ @ WSH 3 2.35 37% 2800 6.5 1.9 1.20 1.20 % % 61 0.40 5.0 1.8
Jack Johnson
D CBJ @ WSH 2.35 37% 2800 0.00 2.2 0.00 0.00 % % 62 0.00 0.0
Alex Chiasson
W WSH vs CBJ 4 3.15 63% 2800 9.5 1.3 1.06 1.06 % % 37 0.40 1.0 0.4
Markus Hannikainen
W CBJ @ WSH 2.35 37% 2800 0.00 0.5 0.00 0.00 % % 0 0.00 0.0
Alex Broadhurst
W CBJ @ WSH 2.35 37% 2800 0.00 0.1 0.00 0.00 % % 25 0.00 0.0
Sonny Milano
W CBJ @ WSH 3 2.35 37% 2800 7.5 1.4 1.35 1.35 % % 37 0.50 0.0
Jay Beagle
C WSH vs CBJ 4 3.15 63% 2800 11.0 1.6 0.96 0.96 % % 46 0.30 0.0
Mark Letestu
C CBJ @ WSH 4 2.35 37% 2800 12.5 1.8 0.88 0.88 % % 44 0.30 0.0
Ben Lovejoy
D NJ @ TB 3 2.27 28.6% 2700 8.0 1.7 1.39 1.39 % % 58 0.50 1.0 0.4
Jamie McBain
D TB vs NJ 3.73 71.4% 2700 0.00 1.3 0.00 0.00 % % 52 0.00
Slater Koekkoek
D TB vs NJ 3.73 71.4% 2700 0.00 0.8 0.00 0.00 % % 21 0.00 0.0
Jake Dotchin
D TB vs NJ 3.73 71.4% 2700 0.00 1.2 0.00 0.00 % % 44 0.00 0.0
Andrej Sustr
D TB vs NJ 3.73 71.4% 2700 0.00 1.2 0.00 0.00 % % 47 0.00 0.0
Jimmy Hayes
W NJ @ TB 2.27 28.6% 2700 0.00 1.4 0.00 0.00 % % 30 0.00 0.0
Nick Lappin
W NJ @ TB 2.27 28.6% 2700 0.00 1.1 0.00 0.00 % % 41 0.00 0.0
Blake Pietila
W NJ @ TB 2.27 28.6% 2700 0.00 0.9 0.00 0.00 % % 32 0.00 0.0
John Quenneville
W NJ @ TB 2.27 28.6% 2700 0.00 1.3 0.00 0.00 % % 37 0.00
Adam Erne
W TB vs NJ 3.73 71.4% 2700 0.00 1.1 0.00 0.00 % % 31 0.00 0.0
Justin Holl
D TOR @ BOS 2.24 33.3% 2700 0.00 4.3 0.00 0.00 % % 0 0.00
Connor Carrick
D TOR @ BOS 2.24 33.3% 2700 0.00 1.2 0.00 0.00 % % 46 0.00 0.0
Martin Marincin
D TOR @ BOS 2.24 33.3% 2700 0.00 1.3 0.00 0.00 % % 53 0.00
Calle Rosen
D TOR @ BOS 2.24 33.3% 2700 0.00 0.6 0.00 0.00 % % 0 0.00
Andreas Borgman
D TOR @ BOS 2.24 33.3% 2700 0.00 1.2 0.00 0.00 % % 42 0.00
Jordan Szwarz
W BOS vs TOR 3.27 66.7% 2700 0.00 1.2 0.00 0.00 % % 48 0.00
Zach Senyshyn
W BOS vs TOR 3.27 66.7% 2700 0.00 0.00 0.00 % % 0 0.00
Anton Blidh
W BOS vs TOR 3.27 66.7% 2700 0.00 0.9 0.00 0.00 % % 28 0.00
Matt Martin
W TOR @ BOS 2.24 33.3% 2700 0.00 1.0 0.00 0.00 % % 35 0.00 0.0
Austin Czarnik
C BOS vs TOR 3.27 66.7% 2700 0.00 1.4 0.00 0.00 % % 49 0.00
Dominic Moore
C TOR @ BOS 4 2.24 33.3% 2700 7.5 1.3 0.35 0.35 % % 42 0.10 0.0
Josh Leivo
C TOR @ BOS 2.24 33.3% 2700 0.00 0.8 0.00 0.00 % % 0 0.00 0.0
Frederik Gauthier
C TOR @ BOS 2.24 33.3% 2700 0.00 1.1 0.00 0.00 % % 37 0.00
Christian Djoos
D WSH vs CBJ 3 3.15 63% 2700 7.5 1.1 0.86 0.86 % % 41 0.30 0.5 0.2
Madison Bowey
D WSH vs CBJ 3.15 63% 2700 0.00 1.0 0.00 0.00 % % 43 0.00 0.0
Taylor Chorney
D CBJ @ WSH 2.35 37% 2700 0.00 0.7 0.00 0.00 % % 26 0.00 0.0
Cameron Gaunce
D CBJ @ WSH 2.35 37% 2700 0.00 0.9 0.00 0.00 % % 7 0.00 0.0
Scott Harrington
D CBJ @ WSH 2.35 37% 2700 0.00 0.7 0.00 0.00 % % 26 0.00 0.0
Dean Kukan
D CBJ @ WSH 2.35 37% 2700 0.00 0.6 0.00 0.00 % % 23 0.00 0.0
Zac Dalpe
W CBJ @ WSH 2.35 37% 2700 0.00 0.9 0.00 0.00 % % 32 0.00
Tyler Graovac
W WSH vs CBJ 3.15 63% 2700 0.00 0.8 0.00 0.00 % % 13 0.00
Nathan Walker
W WSH vs CBJ 3.15 63% 2700 0.00 0.2 0.00 0.00 % % 0 0.00
Shane Gersich
W WSH vs CBJ 3.15 63% 2700 0.00 0.5 0.00 0.00 % % 8 0.00 0.0
Nathan Gerbe
W CBJ @ WSH 2.35 37% 2700 0.00 2.0 0.00 0.00 % % 59 0.00
Eric Robinson
W CBJ @ WSH 2.35 37% 2700 0.00 0.2 0.00 0.00 % % 8 0.00
Travis Boyd
C WSH vs CBJ 3.15 63% 2700 0.00 0.2 0.00 0.00 % % 0 0.00 0.0
Jordan Schroeder
C CBJ @ WSH 2.35 37% 2700 0.00 1.3 0.00 0.00 % % 44 0.00 0.0
Lukas Sedlak
C CBJ @ WSH 2.35 37% 2700 0.00 1.0 0.00 0.00 % % 33 0.00 0.0
Mirco Mueller
D NJ @ TB 2.27 28.6% 2600 0.00 1.0 0.00 0.00 % % 36 0.00 0.0
Paul Postma
D BOS vs TOR 3.27 66.7% 2600 0.00 0.8 0.00 0.00 % % 36 0.00
Colby Cave
C BOS vs TOR 3.27 66.7% 2600 0.00 0.7 0.00 0.00 % % 83 0.00
Doyle Somerby
D CBJ @ WSH 2.35 37% 2600 0.00 0.00 0.00 % % 0 0.00
Gabriel Carlsson
D CBJ @ WSH 2.35 37% 2600 0.00 0.7 0.00 0.00 % % 24 0.00 0.0
Liam O'Brien
W WSH vs CBJ 3.15 63% 2600 0.00 0.7 0.00 0.00 % % 6 0.00
Brian Pinho
C WSH vs CBJ 3.15 63% 2600 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
Brian Strait
D NJ @ TB 2.27 28.6% 2500 0.00 1.5 0.00 0.00 % % 58 0.00 0.0
Michael Kapla
D NJ @ TB 2.27 28.6% 2500 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
Mat Bodie
D TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Cal Foote
D TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Christoph Bertschy
W NJ @ TB 2.27 28.6% 2500 0.00 0.8 0.00 0.00 % % 40 0.00 0.0
Nathan Bastian
W NJ @ TB 2.27 28.6% 2500 0.00 0.00 0.00 % % 0 0.00
Joey Anderson
W NJ @ TB 2.27 28.6% 2500 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
Marian Studenic
W NJ @ TB 2.27 28.6% 2500 0.00 0.00 0.00 % % 0 0.00
Erik Condra
W TB vs NJ 3.73 71.4% 2500 0.00 1.5 0.00 0.00 % % 46 0.00
Jonne Tammela
W TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Mathieu Joseph
W TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Alexander Volkov
W TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Mario Lucia
W NJ @ TB 2.27 28.6% 2500 0.00 0.00 0.00 % % 0 0.00
Jeff Tambellini
W TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Dennis Yan
W TB vs NJ 3.73 71.4% 2500 0.00 0.00 0.00 % % 0 0.00
Bracken Kearns
C NJ @ TB 2.27 28.6% 2500 0.00 1.6 0.00 0.00 % % 61 0.00
Michael Latta
C NJ @ TB 2.27 28.6% 2500 0.00 0.6 0.00 0.00 % % 10 0.00
Michael Mcleod
C NJ @ TB 2.27 28.6% 2500 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
Chris Breen
D BOS vs TOR 3.27 66.7% 2500 0.00 0.00 0.00 % % 0 0.00
Tommy Cross
D BOS vs TOR 3.27 66.7% 2500 0.00 1.3 0.00 0.00 % % 38 0.00
Brandon Carlo
D BOS vs TOR 3.27 66.7% 2500 0.00 1.4 0.00 0.00 % % 53 0.00 0.0
Timothy Liljegren
D TOR @ BOS 2.24 33.3% 2500 0.00 0.00 0.00 % % 0 0.00
Ben Smith
W TOR @ BOS 2.24 33.3% 2500 0.00 1.4 0.00 0.00 % % 48 0.00
Carl Grundstrom
W TOR @ BOS 2.24 33.3% 2500 0.00 0.00 0.00 % % 0 0.00
Joffrey Lupul
W TOR @ BOS 2.24 33.3% 2500 0.00 2.1 0.00 0.00 % % 51 0.00
Jakob Forsbacka Karlsson
C BOS vs TOR 3.27 66.7% 2500 0.00 0.00 0.00 % % 0 0.00
Chris Mueller
C TOR @ BOS 2.24 33.3% 2500 0.00 0.00 0.00 % % 0 0.00
Colin Greening
C TOR @ BOS 2.24 33.3% 2500 0.00 1.7 0.00 0.00 % % 47 0.00
Miro Aaltonen
C TOR @ BOS 2.24 33.3% 2500 0.00 0.00 0.00 % % 0 0.00
Trevor Moore
C TOR @ BOS 2.24 33.3% 2500 0.00 0.00 0.00 % % 0 0.00
Tyler Lewington
D WSH vs CBJ 3.15 63% 2500 0.00 0.00 0.00 % % 0 0.00
Ryan Collins
D CBJ @ WSH 2.35 37% 2500 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
Riley Barber
W WSH vs CBJ 3.15 63% 2500 0.00 0.3 0.00 0.00 % % 22 0.00
Adam Chapie
W WSH vs CBJ 3.15 63% 2500 0.00 0.00 0.00 % % 0 0.00
Kole Sherwood
W CBJ @ WSH 2.35 37% 2500 0.00 0.00 0.00 % % 0 0.00
Vitaly Abramov
W CBJ @ WSH 2.35 37% 2500 0.00 0.00 0.00 % % 0 0.00
Anthony Peluso
W WSH vs CBJ 3.15 63% 2500 0.00 0.4 0.00 0.00 % % 5 0.00
Hampus Gustafsson
W WSH vs CBJ 3.15 63% 2500 0.00 0.00 0.00 % % 0 0.00
Mark Simpson
C WSH vs CBJ 3.15 63% 2500 0.00 0.00 0.00 % % 0 0.00
Justin Scott
C CBJ @ WSH 2.35 37% 2500 0.00 0.0 0.00 0.00 % % 0 0.00 0.0
×
Save As
Name is invalid.
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 $50,000 if left blank.

FLEX Position

Offensive Players vs Goalie

Global Exposure Setting
apply exposure as

Randomness
Use Randomness
Players Per Team Change All MAX
MIN MAX MIN MAX
NJ
@
TB
CBJ
@
WSH
TOR
@
BOS
Add Stack (you can add up to 3) Click here for more info

If you want to create lineups with players from the same team and same Line or PP unit (otherwise known as stacking) this is where to do it. You can add a single stack with the remaining players not needing to be from the same team/line/PP Unit, or you can add multiple stacks per lineup so that all of the players are paired with other players from the same team/line/PP Unit.

To get started, click on the Add Stack link. You will need to select how many players you want used in the stack, which Line/PP units you want possibly stacked and which teams you would like possibly used for the first stack.

You can select multiple Lines/PP Units, or leave this blank and it will just stack players from the same team. You can also choose to stack only Forwards (Centers and Wings) or allow all positions (Centers, Wings and Defense Men) to be stacked.

If you want, you can add a 2nd and 3rd stack the same way as above. This is how you can create a lineup with 4 skaters from 1 team, and 4 skaters from another.

Positional Stacking
Create New Stacking Rule
Stack with of Positions From
Stacking Rules
Save Name Last Saved Delete
No saved settings found
Load Groups There was an error loading your groups.
×
Save As Name is invalid.
×
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
  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.