Fanduel - NHL
2018-02-18
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Pos Team Opp Status / Line PP Unit Goals Win % Salary Ceiling Avg FC Proj My Proj
Exp.
Used
Con. Value Actual Score Actual Val
Connor McDavid
C EDM @ COL 1 1 2.76 42.6% 9100 71.4 16.0 18.07 18.07 % % 65 2.00 44.0 4.8
Evgeni Malkin
C PIT @ CBJ 2 1 2.76 42.6% 9000 54.3 15.8 21.42 21.42 % % 63 2.40 11.2 1.2
Ben Bishop
G DAL @ SJ confirm 2.86 46.5% 8800 52.8 18.7 18.97 18.97 % % 63 2.20 -15.2
Sidney Crosby
C PIT @ CBJ 1 1 2.76 42.6% 8800 57.8 15.9 15.74 15.74 % % 64 1.80 3.2 0.4
Sergei Bobrovsky
G CBJ vs PIT confirm 2.76 57.4% 8700 51.2 19.4 19.15 19.15 % % 63 2.20 -5.6
Henrik Lundqvist
G NYR vs PHI confirm 3.08 47.6% 8600 48.0 18.9 18.27 18.27 % % 63 2.10 -4.0
Martin Jones
G SJ vs DAL confirm 2.65 53.5% 8400 50.4 16.0 16.18 16.18 % % 56 1.90 24.8 3
Connor Hellebuyck
G WPG vs FLA confirm 2.37 68.8% 8200 53.6 18.0 21.86 21.86 % % 59 2.70 24.0 2.9
Tyler Seguin
C DAL @ SJ 1 1 2.65 46.5% 8200 55.2 16.5 15.59 15.59 % % 65 1.90 6.4 0.8
Mark Scheifele
C WPG vs FLA 1 1 3.64 68.8% 8100 45.8 12.7 18.93 18.93 % % 60 2.30 20.0 2.5
Phil Kessel
W PIT @ CBJ 3 1 2.76 42.6% 8100 54.6 13.8 15.51 15.51 % % 63 1.90 0.0
Taylor Hall
W NJ @ CAR 1 1 2.55 36.4% 8000 48.2 14.0 15.33 15.33 % % 64 1.90 20.0 2.5
Michal Neuvirth
G PHI @ NYR confirm 2.92 52.4% 7900 55.2 15.6 15.89 15.89 % % 57 2.00 -3.2
Nathan MacKinnon
C COL vs EDM 1 1 3.24 57.4% 7900 53.0 12.9 19.65 19.65 % % 60 2.50 8.0 1
Auston Matthews
C TOR @ DET 1 1 3.08 52.4% 7900 57.6 14.7 14.38 14.38 % % 63 1.80 20.0 2.5
Tristan Jarry
G PIT @ CBJ confirm 3.24 42.6% 7900 47.2 17.1 16.84 16.84 % % 56 2.10 32.0 4.1
Cam Talbot
G EDM @ COL confirm 3.24 42.6% 7800 52.0 18.2 13.30 13.30 % % 61 1.70 23.2 3
Claude Giroux
W PHI @ NYR 1 1 3.08 52.4% 7800 48.0 13.4 17.61 17.61 % % 64 2.30 34.4 4.4
Semyon Varlamov
G COL vs EDM confirm 2.76 57.4% 7700 63.2 17.4 16.43 16.43 % % 55 2.10 16.8 2.2
Cam Ward
G CAR vs NJ confirm 2.55 63.6% 7700 44.0 15.1 18.75 18.75 % % 60 2.40 2.4 0.3
Curtis McElhinney
G TOR @ DET confirm 2.92 52.4% 7700 52.8 14.5 19.03 19.03 % % 53 2.50 25.6 3.3
Jamie Benn
W DAL @ SJ 1 1 2.65 46.5% 7700 52.5 15.4 14.58 14.58 % % 64 1.90 4.8 0.6
Sean Couturier
C PHI @ NYR 1 1 3.08 52.4% 7600 38.4 10.0 17.24 17.24 % % 54 2.30 12.8 1.7
Brent Burns
D SJ vs DAL 1 1 2.86 53.5% 7600 46.9 16.7 20.80 20.80 % % 72 2.70 1.6 0.2
Keith Kinkaid
G NJ @ CAR confirm 3.45 36.4% 7500 48.0 14.1 14.15 14.15 % % 54 1.90 36.0 4.8
Patrik Laine
W WPG vs FLA 3 1 3.64 68.8% 7500 51.4 13.8 18.34 18.34 % % 59 2.40 22.1 2.9
Petr Mrazek
G DET vs TOR confirm 3.08 47.6% 7400 53.6 16.7 16.65 16.65 % % 57 2.30 12.8 1.7
Blake Wheeler
W WPG vs FLA 1 1 3.64 68.8% 7400 49.3 14.7 21.16 21.16 % % 67 2.90 35.7 4.8
James Reimer
G FLA @ WPG confirm 3.64 31.3% 7300 50.4 15.8 15.46 15.46 % % 54 2.10 -6.4
Jakub Voracek
W PHI @ NYR 2 1 3.08 52.4% 7200 66.4 13.2 14.88 14.88 % % 63 2.10 3.2 0.4
Joe Pavelski
C SJ vs DAL 1 1 2.86 53.5% 7200 52.8 14.5 14.93 14.93 % % 65 2.10 34.4 4.8
Vincent Trocheck
C FLA @ WPG 2 1 2.37 31.3% 7200 48.2 11.8 15.87 15.87 % % 57 2.20 3.2 0.4
Artemi Panarin
W CBJ vs PIT 1 1 3.24 57.4% 7100 45.3 13.0 15.78 15.78 % % 59 2.20 21.6 3
Logan Couture
C SJ vs DAL 2 1 2.86 53.5% 7000 53.0 13.3 11.78 11.78 % % 61 1.70 11.2 1.6
William Nylander
W TOR @ DET 1 1 3.08 52.4% 7000 42.9 11.1 13.40 13.40 % % 60 1.90 12.8 1.8
Leon Draisaitl
C EDM @ COL 2 1 2.76 42.6% 6900 61.0 11.2 14.91 14.91 % % 54 2.20 24.0 3.5
Aleksander Barkov
C FLA @ WPG 1 1 2.37 31.3% 6900 50.1 12.5 14.67 14.67 % % 61 2.10 20.5 3
Sebastian Aho
W CAR vs NJ 1 1 3.45 63.6% 6800 54.6 11.1 16.34 16.34 % % 53 2.40 4.8 0.7
Jonathan Huberdeau
W FLA @ WPG 2 1 2.37 31.3% 6800 44.5 12.0 11.49 11.49 % % 60 1.70 4.8 0.7
Alexander Radulov
W DAL @ SJ 1 1 2.65 46.5% 6700 42.9 12.2 14.42 14.42 % % 58 2.20 4.8 0.7
Rick Nash
W NYR vs PHI 1 1 2.92 47.6% 6600 52.5 12.8 11.76 11.76 % % 62 1.80 20.0 3
Shayne Gostisbehere
D PHI @ NYR 1 1 3.08 52.4% 6600 38.1 12.0 17.19 17.19 % % 66 2.60 4.8 0.7
Mitchell Marner
W TOR @ DET 2 2 3.08 52.4% 6600 56.5 11.4 15.23 15.23 % % 56 2.30 18.4 2.8
Jeff Skinner
W CAR vs NJ 3 2 3.45 63.6% 6500 46.1 11.8 14.02 14.02 % % 59 2.20 16.8 2.6
Mikko Rantanen
W COL vs EDM 1 1 3.24 57.4% 6500 45.0 10.2 17.14 17.14 % % 54 2.60 4.8 0.7
James van Riemsdyk
W TOR @ DET 3 2 3.08 52.4% 6500 50.4 12.4 12.34 12.34 % % 61 1.90 16.8 2.6
Nazem Kadri
C TOR @ DET 2 2 3.08 52.4% 6400 58.4 11.5 11.47 11.47 % % 60 1.80 8.0 1.3
John Klingberg
D DAL @ SJ 1 2 2.65 46.5% 6400 46.3 11.2 14.47 14.47 % % 63 2.30 12.8 2
Cam Atkinson
W CBJ vs PIT 1 1 3.24 57.4% 6400 48.8 11.5 13.07 13.07 % % 60 2.00 12.8 2
Kris Letang
D PIT @ CBJ 1 1 2.76 42.6% 6400 48.5 14.3 11.92 11.92 % % 70 1.90 17.6 2.8
Mika Zibanejad
C NYR vs PHI 1 1 2.92 47.6% 6300 48.5 10.4 9.64 9.64 % % 58 1.50 4.8 0.8
Dylan Larkin
C DET vs TOR 2 2 2.92 47.6% 6300 32.5 9.8 11.93 11.93 % % 61 1.90 6.4 1
J.T. Miller
W NYR vs PHI 4 2 2.92 47.6% 6200 41.3 8.7 9.58 9.58 % % 53 1.50 3.2 0.5
Gabriel Landeskog
W COL vs EDM 1 1 3.24 57.4% 6200 62.6 11.4 13.89 13.89 % % 58 2.20 0.0
Nikolaj Ehlers
W WPG vs FLA 3 2 3.64 68.8% 6100 57.3 11.2 16.72 16.72 % % 59 2.70 16.8 2.8
Patric Hornqvist
W PIT @ CBJ 2.76 42.6% 6100 0.00 12.9 0.00 0.00 % % 62 0.00
Henrik Zetterberg
C DET vs TOR 1 1 2.92 47.6% 6100 53.0 11.4 11.53 11.53 % % 62 1.90 16.8 2.8
Gustav Nyquist
W DET vs TOR 1 1 2.92 47.6% 6100 36.2 9.6 10.35 10.35 % % 58 1.70 22.9 3.8
Pierre-luc Dubois
C CBJ vs PIT 1 2 3.24 57.4% 6000 33.8 8.8 12.92 12.92 % % 53 2.20 12.8 2.1
Joe Thornton
C SJ vs DAL 2.86 53.5% 6000 0.00 10.2 0.00 0.00 % % 60 0.00
Nico Hischier
C NJ @ CAR 1 1 2.55 36.4% 5900 35.2 10.6 10.01 10.01 % % 60 1.70 14.1 2.4
Kyle Palmieri
W NJ @ CAR 1 1 2.55 36.4% 5900 40.2 10.8 10.76 10.76 % % 58 1.80 11.2 1.9
Travis Konecny
W PHI @ NYR 1 2 3.08 52.4% 5900 28.8 8.5 13.89 13.89 % % 56 2.40 32.8 5.6
Mats Zuccarello
W NYR vs PHI 2 2.92 47.6% 5900 44.0 11.0 11.16 11.16 % % 60 1.90 24.8 4.2
Aaron Ekblad
D FLA @ WPG 1 2 2.37 31.3% 5900 40.0 9.9 10.92 10.92 % % 64 1.90 1.6 0.3
Nick Foligno
W CBJ vs PIT 2 1 3.24 57.4% 5900 52.5 11.1 11.15 11.15 % % 58 1.90 4.8 0.8
Kevin Hayes
C NYR vs PHI 2 2 2.92 47.6% 5800 34.4 8.2 9.44 9.44 % % 52 1.60 16.8 2.9
Seth Jones
D CBJ vs PIT 1 1 3.24 57.4% 5800 30.4 9.7 17.86 17.86 % % 63 3.10 8.0 1.4
Pavel Buchnevich
W NYR vs PHI 1 1 2.92 47.6% 5700 32.8 8.2 7.37 7.37 % % 50 1.30 9.6 1.7
Patrick Maroon
W EDM @ COL 1 1 2.76 42.6% 5700 45.6 8.2 7.65 7.65 % % 50 1.30 9.6 1.7
Teuvo Teravainen
W CAR vs NJ 1 1 3.45 63.6% 5700 52.5 8.5 13.38 13.38 % % 50 2.30 18.4 3.2
Tomas Tatar
W DET vs TOR 2 2 2.92 47.6% 5700 40.8 9.8 9.18 9.18 % % 56 1.60 13.3 2.3
Jake Guentzel
W PIT @ CBJ 3 1 2.76 42.6% 5700 44.5 11.3 7.92 7.92 % % 55 1.40 31.2 5.5
Patrick Marleau
W TOR @ DET 2 1 3.08 52.4% 5700 57.6 10.6 11.97 11.97 % % 58 2.10 4.8 0.8
Wayne Simmonds
W PHI @ NYR 2 1 3.08 52.4% 5600 48.2 12.1 13.12 13.12 % % 59 2.30 9.6 1.7
Justin Faulk
D CAR vs NJ 2 1 3.45 63.6% 5400 46.6 11.7 14.61 14.61 % % 63 2.70 6.4 1.2
Kevin Shattenkirk
D NYR vs PHI 2.92 47.6% 5400 0.00 12.1 0.00 0.00 % % 63 0.00
Ryan McDonagh
D NYR vs PHI 2.92 47.6% 5400 0.00 10.4 0.00 0.00 % % 65 0.00 0.0
Jordan Staal
C CAR vs NJ 2 1 3.45 63.6% 5400 42.9 9.3 11.87 11.87 % % 54 2.20 4.8 0.9
Justin Williams
W CAR vs NJ 3 2 3.45 63.6% 5400 44.0 10.2 12.91 12.91 % % 58 2.40 6.4 1.2
Dustin Byfuglien
D WPG vs FLA 2 1 3.64 68.8% 5400 41.3 12.5 14.90 14.90 % % 66 2.80 11.2 2.1
Alexander Wennberg
C CBJ vs PIT 2 1 3.24 57.4% 5400 36.7 7.8 8.01 8.01 % % 52 1.50 16.8 3.1
Bryan Little
C WPG vs FLA 2 2 3.64 68.8% 5400 48.8 10.9 12.63 12.63 % % 55 2.30 23.2 4.3
Oscar Klefbom
D EDM @ COL 2 1 2.76 42.6% 5300 44.2 10.0 11.44 11.44 % % 64 2.20 16.0 3
Ryan Nugent-Hopkins
C EDM @ COL 2.76 42.6% 5300 0.00 10.5 0.00 0.00 % % 61 0.00
Oliver Bjorkstrand
W CBJ vs PIT 2 2 3.24 57.4% 5300 33.6 9.2 12.17 12.17 % % 54 2.30 4.8 0.9
Keith Yandle
D FLA @ WPG 1 1 2.37 31.3% 5300 37.0 10.2 10.00 10.00 % % 64 1.90 16.5 3.1
Ivan Provorov
D PHI @ NYR 1 2 3.08 52.4% 5200 42.6 10.6 14.02 14.02 % % 63 2.70 12.8 2.5
Zach Werenski
D CBJ vs PIT 1 2 3.24 57.4% 5200 37.6 11.1 11.30 11.30 % % 64 2.20 1.6 0.3
Evgenii Dadonov
W FLA @ WPG 1 1 2.37 31.3% 5200 40.5 11.8 9.32 9.32 % % 55 1.80 11.7 2.3
Conor Sheary
W PIT @ CBJ 1 2 2.76 42.6% 5200 40.0 8.3 6.33 6.33 % % 49 1.20 1.6 0.3
Tyson Barrie
D COL vs EDM 2 1 3.24 57.4% 5100 51.1 10.7 12.42 12.42 % % 61 2.40 8.0 1.6
Tomas Hertl
W SJ vs DAL 2.86 53.5% 5100 0.00 9.2 0.00 0.00 % % 56 0.00 0.0
Anthony Mantha
W DET vs TOR 1 1 2.92 47.6% 5100 40.0 10.1 9.13 9.13 % % 53 1.80 18.9 3.7
Jake Gardiner
D TOR @ DET 2 1 3.08 52.4% 5100 35.7 7.9 12.42 12.42 % % 54 2.40 11.2 2.2
Kyle Connor
W WPG vs FLA 1 1 3.64 68.8% 5100 37.3 9.6 15.11 15.11 % % 52 3.00 29.3 5.7
Chris Kreider
W NYR vs PHI 2.92 47.6% 5000 0.00 10.0 0.00 0.00 % % 55 0.00
Timo Meier
W SJ vs DAL 1 1 2.86 53.5% 5000 32.5 7.7 11.83 11.83 % % 57 2.40 22.4 4.5
Jacob Trouba
D WPG vs FLA 3.64 68.8% 5000 0.00 10.0 0.00 0.00 % % 65 0.00
Elias Lindholm
W CAR vs NJ 2 1 3.45 63.6% 4900 59.4 9.1 11.18 11.18 % % 55 2.30 9.6 2
Erik Johnson
D COL vs EDM 1 3.24 57.4% 4800 39.2 11.4 13.24 13.24 % % 67 2.80 0.0
Jason Spezza
C DAL @ SJ 2 2 2.65 46.5% 4800 48.8 11.2 7.19 7.19 % % 61 1.50 3.2 0.7
Alexander Kerfoot
C COL vs EDM 3 2 3.24 57.4% 4700 42.1 8.1 8.18 8.18 % % 42 1.70 15.2 3.2
Mike Green
D DET vs TOR 2.92 47.6% 4700 0.00 9.6 0.00 0.00 % % 60 0.00 0.0
Josh Anderson
W CBJ vs PIT 3 2 3.24 57.4% 4700 39.2 8.1 11.82 11.82 % % 49 2.50 1.6 0.3
Brady Skjei
D NYR vs PHI 1 1 2.92 47.6% 4600 33.6 7.9 8.00 8.00 % % 60 1.70 14.4 3.1
Victor Rask
C CAR vs NJ 1 2 3.45 63.6% 4600 38.9 8.8 10.35 10.35 % % 57 2.30 12.8 2.8
Justin Schultz
D PIT @ CBJ 2.76 42.6% 4600 0.00 8.7 0.00 0.00 % % 59 0.00 0.0
Tyler Bozak
C TOR @ DET 3 2 3.08 52.4% 4600 49.3 9.5 9.95 9.95 % % 52 2.20 8.0 1.7
Nick Bjugstad
W FLA @ WPG 1 2 2.37 31.3% 4600 49.6 9.4 8.48 8.48 % % 56 1.80 10.1 2.2
Ryan Strome
W EDM @ COL 3 1 2.76 42.6% 4500 42.9 7.8 6.78 6.78 % % 49 1.50 16.8 3.7
Travis Zajac
C NJ @ CAR 2 2 2.55 36.4% 4500 46.1 7.8 7.62 7.62 % % 46 1.70 1.6 0.4
Jaccob Slavin
D CAR vs NJ 1 3.45 63.6% 4500 50.4 8.5 12.15 12.15 % % 63 2.70 14.4 3.2
Milan Lucic
W EDM @ COL 2 2.76 42.6% 4500 48.2 9.0 7.23 7.23 % % 54 1.60 4.8 1.1
Mathieu Perreault
W WPG vs FLA 2 2 3.64 68.8% 4500 61.3 10.1 14.04 14.04 % % 52 3.10 32.8 7.3
Bryan Rust
W PIT @ CBJ 2 2.76 42.6% 4500 52.0 8.1 9.95 9.95 % % 45 2.20 12.8 2.8
Mattias Janmark
W DAL @ SJ 2 2 2.65 46.5% 4500 37.3 7.6 9.15 9.15 % % 52 2.00 8.0 1.8
Radek Faksa
C DAL @ SJ 3 2.65 46.5% 4500 44.0 7.4 6.29 6.29 % % 49 1.40 3.2 0.7
Marc-Edouard Vlasic
D SJ vs DAL 2 2.86 53.5% 4500 45.3 9.9 12.79 12.79 % % 63 2.80 19.2 4.3
Morgan Rielly
D TOR @ DET 1 2 3.08 52.4% 4500 46.6 9.4 11.64 11.64 % % 62 2.60 8.0 1.8
Michael Grabner
W NYR vs PHI 2 2.92 47.6% 4400 46.4 8.2 10.72 10.72 % % 47 2.40 3.2 0.7
J.T. Compher
C COL vs EDM 3 2 3.24 57.4% 4400 26.4 8.9 12.13 12.13 % % 63 2.80 3.2 0.7
Sami Vatanen
D NJ @ CAR 1 1 2.55 36.4% 4400 37.0 9.9 8.94 8.94 % % 64 2.00 22.9 5.2
Mike Cammalleri
W EDM @ COL 2 2 2.76 42.6% 4400 50.9 9.6 6.79 6.79 % % 48 1.50 12.8 2.9
Tyler Myers
D WPG vs FLA 1 2 3.64 68.8% 4400 31.2 8.9 13.66 13.66 % % 61 3.10 33.6 7.6
Esa Lindell
D DAL @ SJ 1 2 2.65 46.5% 4400 33.3 7.7 8.59 8.59 % % 57 2.00 0.0
Frans Nielsen
C DET vs TOR 3 2.92 47.6% 4400 45.6 9.8 9.16 9.16 % % 58 2.10 4.8 1.1
Zach Hyman
W TOR @ DET 1 3.08 52.4% 4400 32.0 7.9 10.52 10.52 % % 58 2.40 17.6 4
Boone Jenner
W CBJ vs PIT 3 3.24 57.4% 4400 35.4 10.5 10.19 10.19 % % 60 2.30 11.2 2.5
David Desharnais
C NYR vs PHI 3 2 2.92 47.6% 4300 32.8 6.6 6.40 6.40 % % 46 1.50 0.0
Samuel Girard
D COL vs EDM 3 2 3.24 57.4% 4300 26.9 5.2 7.71 7.71 % % 48 1.80 3.2 0.7
Miles Wood
W NJ @ CAR 2.55 36.4% 4300 0.00 7.5 0.00 0.00 % % 42 0.00 0.0
Andreas Athanasiou
W DET vs TOR 2 2 2.92 47.6% 4300 41.0 8.0 10.02 10.02 % % 47 2.30 3.2 0.7
Justin Braun
D SJ vs DAL 2 2 2.86 53.5% 4300 35.2 7.6 8.73 8.73 % % 63 2.00 26.4 6.1
Niklas Kronwall
D DET vs TOR 2 1 2.92 47.6% 4300 38.4 7.1 6.29 6.29 % % 56 1.50 3.2 0.7
Greg Pateryn
D DAL @ SJ 2 2.65 46.5% 4300 28.8 5.5 7.98 7.98 % % 51 1.90 3.2 0.7
Olli Maatta
D PIT @ CBJ 2 2 2.76 42.6% 4300 26.4 7.2 7.69 7.69 % % 64 1.80 14.4 3.3
Nolan Patrick
C PHI @ NYR 2 2 3.08 52.4% 4200 23.2 5.1 6.26 6.26 % % 42 1.50 15.2 3.6
Carl Soderberg
C COL vs EDM 2 3.24 57.4% 4200 37.8 8.1 11.92 11.92 % % 53 2.80 3.2 0.8
Damon Severson
D NJ @ CAR 2 2 2.55 36.4% 4200 32.0 6.3 6.17 6.17 % % 52 1.50 3.2 0.8
Darnell Nurse
D EDM @ COL 1 2 2.76 42.6% 4200 32.0 7.6 9.74 9.74 % % 62 2.30 6.4 1.5
Derek Ryan
C CAR vs NJ 3 2 3.45 63.6% 4200 29.8 7.0 9.22 9.22 % % 51 2.20 1.6 0.4
Kevin Labanc
W SJ vs DAL 2 1 2.86 53.5% 4200 43.4 6.9 10.52 10.52 % % 43 2.50 4.8 1.1
Stephen Johns
D DAL @ SJ 3 2.65 46.5% 4200 28.0 7.0 9.11 9.11 % % 60 2.20 11.2 2.7
Denis Malgin
W FLA @ WPG 2 2 2.37 31.3% 4200 27.2 5.6 7.07 7.07 % % 43 1.70 15.7 3.7
Joonas Donskoi
W SJ vs DAL 2 2 2.86 53.5% 4200 40.0 7.2 7.93 7.93 % % 49 1.90 0.0
Michael Matheson
D FLA @ WPG 2 2 2.37 31.3% 4200 38.4 8.2 9.40 9.40 % % 61 2.20 11.7 2.8
Marcus Johansson
W NJ @ CAR 2.55 36.4% 4100 0.00 8.8 0.00 0.00 % % 51 0.00
Trevor Daley
D DET vs TOR 1 2 2.92 47.6% 4100 39.7 8.1 9.01 9.01 % % 56 2.20 1.6 0.4
Josh Morrissey
D WPG vs FLA 1 3.64 68.8% 4100 28.0 7.5 11.29 11.29 % % 61 2.80 11.2 2.7
Brett Pesce
D CAR vs NJ 1 3.45 63.6% 4000 26.4 6.5 10.11 10.11 % % 59 2.50 8.0 2
Tyson Jost
W COL vs EDM 4 1 3.24 57.4% 4000 21.6 5.9 7.84 7.84 % % 50 2.00 15.2 3.8
Devin Shore
W DAL @ SJ 2 1 2.65 46.5% 4000 32.0 7.3 6.78 6.78 % % 50 1.70 0.0
Brandon Dubinsky
C CBJ vs PIT 3 3.24 57.4% 4000 35.2 9.3 9.45 9.45 % % 58 2.40 6.4 1.6
Riley Sheahan
C PIT @ CBJ 3 2.76 42.6% 4000 30.4 6.1 7.28 7.28 % % 51 1.80 32.0 8
Anthony Deangelo
D NYR vs PHI 2 2.92 47.6% 3900 28.5 7.4 7.24 7.24 % % 59 1.90 1.6 0.4
Nick Holden
D NYR vs PHI 2 2.92 47.6% 3900 30.4 6.4 6.59 6.59 % % 55 1.70 12.8 3.3
Kris Russell
D EDM @ COL 2 2.76 42.6% 3900 49.0 10.1 9.80 9.80 % % 65 2.50 14.4 3.7
John Moore
D NJ @ CAR 2 2.55 36.4% 3900 35.7 6.7 6.95 6.95 % % 56 1.80 17.6 4.5
Pavel Zacha
C NJ @ CAR 3 2 2.55 36.4% 3900 29.3 5.8 6.65 6.65 % % 44 1.70 13.6 3.5
Jesse Puljujarvi
W EDM @ COL 4 2 2.76 42.6% 3900 37.6 6.8 8.03 8.03 % % 39 2.10 6.4 1.6
Connor Brown
W TOR @ DET 3 1 3.08 52.4% 3900 49.6 7.6 7.22 7.22 % % 46 1.90 1.6 0.4
Danny DeKeyser
D DET vs TOR 3 2.92 47.6% 3900 30.4 6.0 7.64 7.64 % % 55 2.00 3.2 0.8
Joel Armia
W WPG vs FLA 4 2 3.64 68.8% 3900 38.4 6.6 10.80 10.80 % % 46 2.80 0.0
Andy Greene
D NJ @ CAR 1 2.55 36.4% 3800 32.8 6.7 7.20 7.20 % % 63 1.90 8.0 2.1
Blake Comeau
W COL vs EDM 2 2 3.24 57.4% 3800 38.4 6.8 7.65 7.65 % % 48 2.00 6.4 1.7
Noah Hanifin
D CAR vs NJ 3 2 3.45 63.6% 3800 40.2 7.2 10.78 10.78 % % 55 2.80 4.8 1.3
Jesper Bratt
W NJ @ CAR 3 1 2.55 36.4% 3800 36.8 8.2 6.04 6.04 % % 47 1.60 4.8 1.3
Nikita Zadorov
D COL vs EDM 1 3.24 57.4% 3800 26.4 5.2 8.02 8.02 % % 51 2.10 3.2 0.8
Darren Helm
W DET vs TOR 3 2.92 47.6% 3800 36.8 7.5 8.11 8.11 % % 50 2.10 9.6 2.5
Joakim Ryan
D SJ vs DAL 1 2.86 53.5% 3800 33.6 5.7 6.62 6.62 % % 48 1.70 11.2 2.9
Nikita Zaitsev
D TOR @ DET 2 3.08 52.4% 3800 28.0 8.2 8.36 8.36 % % 63 2.20 1.6 0.4
Nick Jensen
D DET vs TOR 3 2.92 47.6% 3800 26.4 5.6 6.13 6.13 % % 50 1.60 3.2 0.8
Chris Tierney
C SJ vs DAL 3 2 2.86 53.5% 3800 35.7 6.1 9.60 9.60 % % 43 2.50 9.6 2.5
Zachary Aston-Reese
W PIT @ CBJ 1 2 2.76 42.6% 3800 32.0 14.0 12.59 12.59 % % 62 3.30 13.6 3.6
Carl Hagelin
W PIT @ CBJ 2 2.76 42.6% 3800 41.3 8.1 9.11 9.11 % % 54 2.40 1.6 0.4
Radko Gudas
D PHI @ NYR 3 3.08 52.4% 3700 52.8 7.6 8.98 8.98 % % 58 2.40 8.0 2.2
Jimmy Vesey
W NYR vs PHI 3 2 2.92 47.6% 3700 33.3 6.5 5.81 5.81 % % 44 1.60 3.2 0.9
Matt Benning
D EDM @ COL 3 2.76 42.6% 3700 31.7 5.5 5.88 5.88 % % 47 1.60 9.6 2.6
Will Butcher
D NJ @ CAR 2.55 36.4% 3700 0.00 7.6 0.00 0.00 % % 56 0.00 0.0
Leo Komarov
W TOR @ DET 4 3.08 52.4% 3700 41.5 7.1 6.52 6.52 % % 47 1.80 3.2 0.9
Martin Frk
W DET vs TOR 4 1 2.92 47.6% 3700 25.3 5.6 6.76 6.76 % % 39 1.80 0.0
Tyler Bertuzzi
W DET vs TOR 4 2.92 47.6% 3700 26.4 6.1 7.02 7.02 % % 39 1.90 1.6 0.4
Justin Abdelkader
W DET vs TOR 3 2 2.92 47.6% 3700 42.9 8.3 5.36 5.36 % % 52 1.40 6.4 1.7
Colton Sceviour
W FLA @ WPG 4 2.37 31.3% 3700 57.3 7.1 4.87 4.87 % % 50 1.30 1.6 0.4
Jack Roslovic
W WPG vs FLA 2 3.64 68.8% 3700 16.8 4.9 6.70 6.70 % % 44 1.80 8.0 2.2
Mikkel Boedker
W SJ vs DAL 3 2 2.86 53.5% 3700 50.9 8.0 7.91 7.91 % % 45 2.10 30.4 8.2
Brian Dumoulin
D PIT @ CBJ 1 2.76 42.6% 3700 24.0 5.6 6.83 6.83 % % 58 1.80 16.8 4.5
Mark Pysyk
D FLA @ WPG 2 2.37 31.3% 3700 29.6 5.5 5.98 5.98 % % 54 1.60 1.6 0.4
Ron Hainsey
D TOR @ DET 1 3.08 52.4% 3700 32.0 6.4 7.61 7.61 % % 59 2.10 1.6 0.4
Ian Cole
D PIT @ CBJ 3 2.76 42.6% 3700 26.4 6.7 7.16 7.16 % % 58 1.90 0.0
Colin Wilson
W COL vs EDM 3 2 3.24 57.4% 3600 45.8 8.0 6.97 6.97 % % 50 1.90 9.6 2.7
Brian Boyle
C NJ @ CAR 4 2 2.55 36.4% 3600 37.3 6.8 7.08 7.08 % % 49 2.00 1.6 0.4
Brock McGinn
W CAR vs NJ 2 3.45 63.6% 3600 40.8 5.8 7.49 7.49 % % 32 2.10 6.4 1.8
Trevor van Riemsdyk
D CAR vs NJ 3 3.45 63.6% 3600 23.2 6.2 6.86 6.86 % % 62 1.90 12.8 3.6
Andrew MacDonald
D PHI @ NYR 2 3.08 52.4% 3600 26.1 6.9 8.36 8.36 % % 62 2.30 15.2 4.2
Neal Pionk
D NYR vs PHI 1 2.92 47.6% 3600 18.1 8.1 9.55 9.55 % % 68 2.70 8.0 2.2
Robert Hagg
D PHI @ NYR 2 3.08 52.4% 3600 20.0 5.5 6.49 6.49 % % 57 1.80 1.6 0.4
Patrik Nemeth
D COL vs EDM 3 3.24 57.4% 3600 31.2 5.8 10.30 10.30 % % 51 2.90 1.6 0.4
Stefan Noesen
W NJ @ CAR 2 2.55 36.4% 3600 30.4 5.6 7.55 7.55 % % 40 2.10 1.6 0.4
Adam Larsson
D EDM @ COL 1 2.76 42.6% 3600 38.4 7.1 5.42 5.42 % % 58 1.50 14.4 4
Lee Stempniak
W CAR vs NJ 3.45 63.6% 3600 0.00 7.6 0.00 0.00 % % 51 0.00 0.0
David Savard
D CBJ vs PIT 3 3.24 57.4% 3600 38.4 8.5 9.14 9.14 % % 63 2.50 3.2 0.9
Scott Harrington
D CBJ vs PIT 2 3.24 57.4% 3600 21.6 2.7 4.37 4.37 % % 34 1.20 1.6 0.4
Melker Karlsson
W SJ vs DAL 1 2.86 53.5% 3600 37.6 6.8 5.76 5.76 % % 52 1.60 24.8 6.9
Brenden Dillon
D SJ vs DAL 3 2.86 53.5% 3600 26.4 4.9 5.50 5.50 % % 58 1.50 6.4 1.8
Dominik Simon
W PIT @ CBJ 4 2 2.76 42.6% 3600 28.8 6.0 6.61 6.61 % % 41 1.80 1.6 0.4
Jonathan Ericsson
D DET vs TOR 1 2.92 47.6% 3600 22.9 4.3 5.11 5.11 % % 47 1.40 3.2 0.9
Andrew Copp
C WPG vs FLA 3 3.64 68.8% 3600 24.8 4.6 8.65 8.65 % % 40 2.40 3.2 0.9
Jack Johnson
D CBJ vs PIT 2 3.24 57.4% 3600 50.6 7.9 7.32 7.32 % % 60 2.00 0.0
Justin Holl
D TOR @ DET 3.08 52.4% 3600 0.00 16.0 0.00 0.00 % % 0 0.00
Dan Hamhuis
D DAL @ SJ 2 2.65 46.5% 3600 25.6 6.1 7.50 7.50 % % 56 2.10 4.8 1.3
Martin Hanzal
C DAL @ SJ 2 2.65 46.5% 3600 45.5 9.1 0.00 0.00 % % 50 0.00 0.0
Antoine Roussel
W DAL @ SJ 3 2.65 46.5% 3600 48.8 6.6 4.49 4.49 % % 45 1.20 11.2 3.1
Roland McKeown
D CAR vs NJ 3.45 63.6% 3500 0.00 5.8 0.00 0.00 % % 39 0.00
Klas Dahlbeck
D CAR vs NJ 3.45 63.6% 3500 0.00 3.4 0.00 0.00 % % 42 0.00 0.0
Drew Stafford
W NJ @ CAR 3 2 2.55 36.4% 3500 44.8 7.6 3.31 3.31 % % 48 0.90 0.0
Steven Kampfer
D NYR vs PHI 2.92 47.6% 3500 0.00 3.8 0.00 0.00 % % 44 0.00
Eric Gryba
D EDM @ COL 2.76 42.6% 3500 0.00 4.0 0.00 0.00 % % 48 0.00
Brandon Manning
D PHI @ NYR 3 3.08 52.4% 3500 24.8 5.4 6.85 6.85 % % 56 2.00 32.8 9.4
Sven Andrighetto
W COL vs EDM 3.24 57.4% 3500 0.00 7.0 0.00 0.00 % % 48 0.00
Blake Coleman
W NJ @ CAR 2 2.55 36.4% 3500 24.8 5.5 5.82 5.82 % % 55 1.70 4.8 1.4
John Gilmour
D NYR vs PHI 3 2 2.92 47.6% 3500 20.5 9.2 8.13 8.13 % % 67 2.30 8.0 2.3
Andrej Sekera
D EDM @ COL 2.76 42.6% 3500 0.00 8.4 0.00 0.00 % % 62 0.00
Marc Staal
D NYR vs PHI 2.92 47.6% 3500 0.00 5.4 0.00 0.00 % % 57 0.00
Haydn Fleury
D CAR vs NJ 2 3.45 63.6% 3500 17.6 4.4 4.90 4.90 % % 51 1.40 3.2 0.9
Trevor Carrick
D CAR vs NJ 3.45 63.6% 3500 0.00 2.4 0.00 0.00 % % 63 0.00
Travis Sanheim
D PHI @ NYR 3.08 52.4% 3500 0.00 3.5 0.00 0.00 % % 37 0.00
Zack Kassian
W EDM @ COL 4 2.76 42.6% 3500 32.0 5.2 4.79 4.79 % % 42 1.40 4.8 1.4
Ryan Sproul
D NYR vs PHI 3 2.92 47.6% 3500 24.2 5.1 5.84 5.84 % % 47 1.70 16.0 4.6
Jujhar Khaira
C EDM @ COL 3 2.76 42.6% 3500 27.2 4.3 5.86 5.86 % % 29 1.70 0.0
Mirco Mueller
D NJ @ CAR 3 2.55 36.4% 3500 24.8 3.8 3.33 3.33 % % 40 1.00 1.6 0.5
Anton Lindholm
D COL vs EDM 2 3.24 57.4% 3500 12.8 2.6 2.85 2.85 % % 50 0.80 9.6 2.7
Ben Lovejoy
D NJ @ CAR 3 2.55 36.4% 3500 29.6 5.7 4.09 4.09 % % 54 1.20 1.6 0.5
Yohann Auvitu
D EDM @ COL 2.76 42.6% 3500 0.00 4.0 0.00 0.00 % % 35 0.00 0.0
Duncan Siemens
D COL vs EDM 3.24 57.4% 3500 0.00 0.4 0.00 0.00 % % 0 0.00 0.0
Brandon Davidson
D EDM @ COL 3 2.76 42.6% 3500 30.4 5.2 5.31 5.31 % % 49 1.50 4.8 1.4
Brendan Smith
D NYR vs PHI 2.92 47.6% 3500 0.00 5.0 0.00 0.00 % % 51 0.00
Steve Santini
D NJ @ CAR 2.55 36.4% 3500 0.00 5.6 0.00 0.00 % % 50 0.00
Mark Barberio
D COL vs EDM 3.24 57.4% 3500 0.00 5.2 0.00 0.00 % % 54 0.00
Andreas Borgman
D TOR @ DET 3.08 52.4% 3500 0.00 4.3 0.00 0.00 % % 39 0.00
Tim Heed
D SJ vs DAL 2.86 53.5% 3500 0.00 4.3 0.00 0.00 % % 25 0.00 0.0
Mackenzie Weegar
D FLA @ WPG 3 2.37 31.3% 3500 13.6 2.9 2.27 2.27 % % 36 0.60 0.0
Gabriel Carlsson
D CBJ vs PIT 3.24 57.4% 3500 0.00 2.5 0.00 0.00 % % 23 0.00
Julius Honka
D DAL @ SJ 2.65 46.5% 3500 0.00 3.7 0.00 0.00 % % 34 0.00 0.0
Jannik Hansen
W SJ vs DAL 3 2.86 53.5% 3500 47.2 6.7 2.40 2.40 % % 42 0.70 8.0 2.3
Marc Methot
D DAL @ SJ 3 2.65 46.5% 3500 28.8 5.2 3.83 3.83 % % 52 1.10 0.0
Travis Dermott
D TOR @ DET 3 3.08 52.4% 3500 29.6 8.5 8.15 8.15 % % 59 2.30 0.0
Ian McCoshen
D FLA @ WPG 2.37 31.3% 3500 0.00 2.4 0.00 0.00 % % 18 0.00 0.0
Xavier Ouellet
D DET vs TOR 2.92 47.6% 3500 0.00 4.4 0.00 0.00 % % 45 0.00 1.6 0.5
Jared McCann
C FLA @ WPG 3 2.37 31.3% 3500 32.0 5.7 5.67 5.67 % % 45 1.60 3.2 0.9
Dmitry Kulikov
D WPG vs FLA 3 3.64 68.8% 3500 32.5 6.0 6.32 6.32 % % 52 1.80 3.2 0.9
Ryan Murray
D CBJ vs PIT 3.24 57.4% 3500 0.00 6.6 0.00 0.00 % % 58 0.00 0.0
Connor Brickley
W FLA @ WPG 2.37 31.3% 3500 0.00 3.9 0.00 0.00 % % 30 0.00 0.0
Markus Nutivaara
D CBJ vs PIT 3.24 57.4% 3500 0.00 4.8 0.00 0.00 % % 48 0.00 0.0
Dillon Heatherington
D DAL @ SJ 2.65 46.5% 3500 0.00 1.1 0.00 0.00 % % 0 0.00
Paul Martin
D SJ vs DAL 2.86 53.5% 3500 0.00 5.9 0.00 0.00 % % 54 0.00
Alex Petrovic
D FLA @ WPG 3 2.37 31.3% 3500 24.8 4.9 3.90 3.90 % % 54 1.10 4.8 1.4
Luke Witkowski
D DET vs TOR 2 2.92 47.6% 3500 18.4 1.8 1.02 1.02 % % 20 0.30 0.0
Connor Carrick
D TOR @ DET 3 3.08 52.4% 3500 22.1 4.3 4.08 4.08 % % 48 1.20 3.2 0.9
Dean Kukan
D CBJ vs PIT 3 3.24 57.4% 3500 12.8 3.1 3.74 3.74 % % 40 1.10 0.0
Chad Ruhwedel
D PIT @ CBJ 2.76 42.6% 3500 0.00 4.2 0.00 0.00 % % 45 0.00 0.0
Matt Hendricks
C WPG vs FLA 4 3.64 68.8% 3500 32.0 5.2 5.63 5.63 % % 43 1.60 1.6 0.5
Ben Chiarot
D WPG vs FLA 3 3.64 68.8% 3500 23.2 4.8 5.30 5.30 % % 48 1.50 8.0 2.3
Dylan DeMelo
D SJ vs DAL 3 2.86 53.5% 3500 22.4 4.1 5.26 5.26 % % 43 1.50 1.6 0.5
Jamie Oleksiak
D PIT @ CBJ 3 2 2.76 42.6% 3500 32.0 4.7 4.92 4.92 % % 36 1.40 19.2 5.5
Roman Polak
D TOR @ DET 3.08 52.4% 3500 0.00 5.8 0.00 0.00 % % 57 0.00 0.0
Julian Melchiori
D WPG vs FLA 3.64 68.8% 3500 0.00 3.2 0.00 0.00 % % 43 0.00
Toby Enstrom
D WPG vs FLA 2 3.64 68.8% 3500 23.2 5.5 5.74 5.74 % % 58 1.60 1.6 0.5
Adam Lowry
C WPG vs FLA 3.64 68.8% 3500 0.00 6.1 0.00 0.00 % % 46 0.00
Matt Hunwick
D PIT @ CBJ 2 2.76 42.6% 3500 26.4 5.4 3.52 3.52 % % 52 1.00 8.0 2.3
Matthew Nieto
W COL vs EDM 2 3.24 57.4% 3400 42.4 5.7 8.91 8.91 % % 40 2.60 1.6 0.5
Anton Slepyshev
W EDM @ COL 3 2.76 42.6% 3400 17.6 3.9 3.14 3.14 % % 37 0.90 1.6 0.5
Vinni Lettieri
W NYR vs PHI 2.92 47.6% 3400 0.00 4.9 0.00 0.00 % % 51 0.00
Remi Elie
W DAL @ SJ 4 2.65 46.5% 3400 21.6 4.3 4.07 4.07 % % 41 1.20 1.6 0.5
Sonny Milano
W CBJ vs PIT 3.24 57.4% 3400 0.00 4.7 0.00 0.00 % % 30 0.00
Jesper Fast
W NYR vs PHI 3 2.92 47.6% 3300 30.4 5.6 3.76 3.76 % % 46 1.10 0.0
Drake Caggiula
W EDM @ COL 1 2 2.76 42.6% 3300 30.4 5.8 5.28 5.28 % % 42 1.60 1.6 0.5
Michael Raffl
W PHI @ NYR 3 3.08 52.4% 3300 36.8 6.8 8.20 8.20 % % 46 2.50 0.0
Valtteri Filppula
C PHI @ NYR 4 2 3.08 52.4% 3300 33.0 7.2 5.94 5.94 % % 50 1.80 16.0 4.8
Matt Calvert
W CBJ vs PIT 4 3.24 57.4% 3300 34.4 6.7 6.53 6.53 % % 48 2.00 4.8 1.5
Tom Kuhnhackl
W PIT @ CBJ 2.76 42.6% 3300 0.00 4.9 0.00 0.00 % % 41 0.00
Tyler Pitlick
W DAL @ SJ 3 2.65 46.5% 3300 33.6 6.6 7.98 7.98 % % 49 2.40 16.8 5.1
Mark Letestu
C EDM @ COL 4 2 2.76 42.6% 3200 49.0 6.6 5.19 5.19 % % 42 1.60 0.0
Brian Gibbons
W NJ @ CAR 2.55 36.4% 3200 0.00 8.1 0.00 0.00 % % 55 0.00
Dale Weise
W PHI @ NYR 4 3.08 52.4% 3200 50.4 5.7 2.12 2.12 % % 37 0.70 9.6 3
Brett Ritchie
W DAL @ SJ 4 2.65 46.5% 3200 30.4 6.0 3.21 3.21 % % 47 1.00 8.0 2.5
Brandon Tanev
W WPG vs FLA 3.64 68.8% 3200 0.00 4.6 0.00 0.00 % % 43 0.00
Derek MacKenzie
W FLA @ WPG 4 2.37 31.3% 3200 30.4 4.4 4.06 4.06 % % 43 1.30 4.8 1.5
Gemel Smith
W DAL @ SJ 4 2.65 46.5% 3200 35.2 3.3 1.90 1.90 % % 7 0.60 15.2 4.8
Luke Glendening
C DET vs TOR 4 2.92 47.6% 3200 33.6 5.7 7.03 7.03 % % 49 2.20 4.8 1.5
Radim Vrbata
W FLA @ WPG 2.37 31.3% 3200 0.00 10.8 0.00 0.00 % % 58 0.00 3.2 1
Marcus Sorensen
W SJ vs DAL 4 2.86 53.5% 3200 16.8 4.2 4.13 4.13 % % 37 1.30 1.6 0.5
Jamie McGinn
W FLA @ WPG 3 2 2.37 31.3% 3200 29.8 6.5 3.76 3.76 % % 48 1.20 3.2 1
Nic Petan
C WPG vs FLA 4 3.64 68.8% 3200 20.2 3.8 3.04 3.04 % % 38 1.00 4.8 1.5
Jordan Weal
W PHI @ NYR 3 2 3.08 52.4% 3100 24.8 5.5 6.64 6.64 % % 43 2.10 3.2 1
Paul Carey
W NYR vs PHI 2.92 47.6% 3100 0.00 3.6 0.00 0.00 % % 27 0.00 0.0
Nail Yakupov
W COL vs EDM 3.24 57.4% 3100 0.00 6.7 0.00 0.00 % % 49 0.00 0.0
Scott Laughton
C PHI @ NYR 3 3.08 52.4% 3100 28.8 5.3 6.06 6.06 % % 42 2.00 18.4 5.9
Jussi Jokinen
W CBJ vs PIT 4 2 3.24 57.4% 3100 32.8 7.9 2.74 2.74 % % 52 0.90 1.6 0.5
Dominic Moore
C TOR @ DET 4 3.08 52.4% 3100 28.8 4.9 2.92 2.92 % % 43 0.90 0.0
Ryan Reaves
W PIT @ CBJ 4 2.76 42.6% 3100 21.6 2.6 2.95 2.95 % % 19 1.00 0.0
Joel Ward
W SJ vs DAL 2.86 53.5% 3100 0.00 7.4 0.00 0.00 % % 49 0.00 0.0
Marko Dano
W WPG vs FLA 3.64 68.8% 3100 0.00 5.0 0.00 0.00 % % 29 0.00 0.0
Jean-Sebastien Dea
C PIT @ CBJ 2.76 42.6% 3100 0.00 2.4 0.00 0.00 % % 0 0.00
Greg McKegg
C PIT @ CBJ 2.76 42.6% 3100 0.00 3.2 0.00 0.00 % % 29 0.00
Lukas Sedlak
C CBJ vs PIT 4 3.24 57.4% 3100 21.6 4.1 4.41 4.41 % % 35 1.40 3.2 1
Nick Lappin
W NJ @ CAR 4 2.55 36.4% 3000 20.0 4.3 2.82 2.82 % % 43 0.90 1.6 0.5
Jori Lehtera
C PHI @ NYR 4 3.08 52.4% 3000 44.0 5.8 1.54 1.54 % % 40 0.50 23.2 7.7
Dominic Toninato
W COL vs EDM 4 3.24 57.4% 3000 9.6 2.2 2.65 2.65 % % 48 0.90 0.0
Joakim Nordstrom
W CAR vs NJ 4 3.45 63.6% 3000 24.8 4.3 3.79 3.79 % % 46 1.30 1.6 0.5
Rocco Grimaldi
W COL vs EDM 3.24 57.4% 3000 0.00 5.5 0.00 0.00 % % 41 0.00
Jimmy Hayes
W NJ @ CAR 2.55 36.4% 3000 0.00 5.7 0.00 0.00 % % 33 0.00 0.0
Cody McLeod
W NYR vs PHI 4 2.92 47.6% 3000 21.6 3.0 1.25 1.25 % % 24 0.40 12.8 4.3
Marcus Kruger
C CAR vs NJ 3.45 63.6% 3000 0.00 4.6 0.00 0.00 % % 45 0.00
Janne Kuokkanen
W CAR vs NJ 3.45 63.6% 3000 0.00 1.1 0.00 0.00 % % 8 0.00
Blake Pietila
W NJ @ CAR 4 2.55 36.4% 3000 16.8 3.8 3.88 3.88 % % 37 1.30 1.6 0.5
Peter Holland
C NYR vs PHI 4 2.92 47.6% 3000 31.9 6.6 5.22 5.22 % % 50 1.70 26.4 8.8
Matt Read
W PHI @ NYR 3.08 52.4% 3000 0.00 6.4 0.00 0.00 % % 51 0.00
John Quenneville
W NJ @ CAR 2.55 36.4% 3000 0.00 4.8 0.00 0.00 % % 34 0.00
Gabriel Bourque
W COL vs EDM 4 3.24 57.4% 3000 28.0 4.4 6.38 6.38 % % 38 2.10 1.6 0.5
Iiro Pakarinen
W EDM @ COL 2.76 42.6% 3000 0.00 3.8 0.00 0.00 % % 30 0.00 0.0
Phil Di Giuseppe
W CAR vs NJ 4 3.45 63.6% 3000 24.0 3.4 2.86 2.86 % % 34 1.00 3.2 1.1
Josh Jooris
W CAR vs NJ 3.45 63.6% 3000 0.00 4.8 0.00 0.00 % % 34 0.00
A.j. Greer
W COL vs EDM 3.24 57.4% 3000 0.00 2.0 0.00 0.00 % % 36 0.00
Tyrell Goulbourne
W PHI @ NYR 3.08 52.4% 3000 0.00 0.5 0.00 0.00 % % 25 0.00
Taylor Leier
W PHI @ NYR 3.08 52.4% 3000 0.00 2.5 0.00 0.00 % % 28 0.00 0.0
Frederik Gauthier
C TOR @ DET 3.08 52.4% 3000 0.00 3.6 0.00 0.00 % % 31 0.00
Jason Dickinson
C DAL @ SJ 2.65 46.5% 3000 0.00 2.5 0.00 0.00 % % 8 0.00
Daniel O'Regan
W SJ vs DAL 4 2.86 53.5% 3000 19.2 2.8 3.00 3.00 % % 17 1.00 4.8 1.6
Tyler Motte
W CBJ vs PIT 3.24 57.4% 3000 0.00 4.8 0.00 0.00 % % 48 0.00
Maxim Mamin
W FLA @ WPG 3 2.37 31.3% 3000 4.8 1.2 3.65 3.65 % % 23 1.20 0.0
Henrik Haapala
W FLA @ WPG 2.37 31.3% 3000 0.00 2.5 0.00 0.00 % % 34 0.00
Daniel Sprong
W PIT @ CBJ 2.76 42.6% 3000 0.00 5.0 0.00 0.00 % % 17 0.00
Brandon Mashinter
W SJ vs DAL 2.86 53.5% 3000 0.00 2.2 0.00 0.00 % % 0 0.00
Barclay Goodrow
W SJ vs DAL 4 2 2.86 53.5% 3000 24.8 4.0 5.79 5.79 % % 33 1.90 6.4 2.1
Shawn Matthias
W WPG vs FLA 3.64 68.8% 3000 0.00 5.6 0.00 0.00 % % 40 0.00
Eric Fehr
W TOR @ DET 3.08 52.4% 3000 0.00 6.5 0.00 0.00 % % 47 0.00
David Booth
W DET vs TOR 2.92 47.6% 3000 0.00 3.6 0.00 0.00 % % 16 0.00 0.0
Carter Rowney
W PIT @ CBJ 4 2.76 42.6% 3000 28.8 3.7 1.90 1.90 % % 25 0.60 1.6 0.5
Brendan Lemieux
W WPG vs FLA 3.64 68.8% 3000 0.00 1.2 0.00 0.00 % % 0 0.00
Kasperi Kapanen
W TOR @ DET 4 3.08 52.4% 3000 30.4 4.1 5.32 5.32 % % 30 1.80 3.2 1.1
Dominic Turgeon
C DET vs TOR 2.92 47.6% 3000 0.00 3.5 0.00 0.00 % % 73 0.00
Curtis McKenzie
W DAL @ SJ 2.65 46.5% 3000 0.00 4.9 0.00 0.00 % % 42 0.00
Josh Leivo
W TOR @ DET 3.08 52.4% 3000 0.00 3.5 0.00 0.00 % % 2 0.00 0.0
Micheal Haley
W FLA @ WPG 4 2.37 31.3% 3000 21.6 2.8 2.06 2.06 % % 22 0.70 1.6 0.5
Markus Hannikainen
W CBJ vs PIT 3.24 57.4% 3000 0.00 2.1 0.00 0.00 % % 0 0.00 0.0
Matt Martin
W TOR @ DET 3.08 52.4% 3000 0.00 3.8 0.00 0.00 % % 34 0.00 0.0
Dryden Hunt
W FLA @ WPG 2.37 31.3% 3000 0.00 1.9 0.00 0.00 % % 38 0.00
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Unique Players

Team Salary
Max salary is $55,000 if left blank.

Offensive Players vs Goalie

Global Exposure Setting
apply exposure as

Randomness
Use Randomness
Players Per Team Change All MAX
MIN MAX MIN MAX
PHI
@
NYR
EDM
@
COL
NJ
@
CAR
PIT
@
CBJ
TOR
@
DET
DAL
@
SJ
FLA
@
WPG
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
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Load Playerpool
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Load Saved Crunches
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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.