Our expected goals added metric allows us to compare two stat lines, even if the players play different positions. The idea is to normalize different plays to get to a standard view of how many equivalent goals a player generated.

This table shows the cumulative season totals for the top 100 players to give a view of who is having the most productive season. We have included the primary role for each player so you can get a sense for how the role they play on their team. The primary role is calculated based on the percentage of a player’s value that comes from faceoffs vs offensive plays vs defensive plays. I have also put together a detailed post to explain how this classification works.

The rankings below are, by default, sorted by total EGA. That is, the total amount of value a player has produced for the season, across all play types. I have also separated out the faceoff-only EGA, which accumulates the value each player has produced specifically on faceoffs. So if a FOGO scores a goal off a faceoff, that contribution would be captured in the total value but not in the faceoff-only EGA column.

The basic philosophy here is that we want to rank based on the cumulative contribution. But we also don’t want to lose sight of the fact that some players contribute by being well-rounded while some are more laser-focused on a given role. By splitting out the value numbers, we can shed some light on just how each player does what they do.

All Players Non-FOGO Offense Defensive Players FOGOs
Last Updated: Feb 16, 2019 05:18 ET
All Offense Defense FOGOs
Player Team Team Games Season EGA FOGO EGA 1-Week Change
Brian Smyth Duke 3 15.61 13.47 N/A
Alex Woodall Towson 2 11.09 9.09 N/A
Gerard Arceri Penn State 2 8.81 6.81 N/A
Conor Gaffney Lehigh 3 8.53 8.89 N/A
Justin Inacio Ohio State 2 7.98 7.48 N/A
Zachary Tucci North Carolina 2 7.96 8.19 N/A
Davis Sampere High Point 2 6.88 6.33 N/A
Danny Tesler Cleveland State 2 6.61 5.46 N/A
Zach Cole Saint Joseph’s 1 6.57 5.19 N/A
Nick Warren Wagner 3 6.36 5.43 N/A
Connor Harryman Rutgers 2 6.01 5.65 N/A
Jared Hershman Marquette 2 5.91 5.48 N/A
Matthew Pedicine Hobart 1 5.78 6.00 N/A
Tom Meyers UMass 1 5.60 5.51 N/A
Hunter Turner Jacksonville 3 5.20 5.13 N/A
Tyler Stevenson NJIT 2 5.19 5.60 N/A
Alex Jarzembowski Detroit 1 5.11 3.20 N/A
Jarett Witzal Bucknell 2 4.61 5.34 N/A
Austin Henningsen Maryland 2 4.55 4.67 N/A
Nick Barry Navy 2 4.54 5.15 N/A
Joseph Fitzpatrick St. John’s 1 4.40 3.98 N/A
Sean Christman Boston U 2 4.21 4.36 N/A
Gabe Smithline Lafayette 3 4.15 4.15 N/A
Sam Stephan Mount St Marys 2 4.14 4.21 N/A
Jt Simonton Bellarmine 2 4.09 4.71 N/A
Seth Neeleman Utah 2 4.06 2.93 N/A
Dan OConnell Holy Cross 1 4.04 3.23 N/A
Michael Giaquinto Vermont 2 3.83 3.69 N/A
Ashton Wood Mercer 2 3.82 3.24 N/A
Justin Schwenk Virginia 2 3.75 2.89 N/A
Brett Boos Denver 1 3.25 3.03 N/A
Bailey Savio Loyola 1 3.20 3.20 N/A
Daniel Balawejder Canisius 1 3.05 3.05 N/A
Jake Giaquinto Sacred Heart 1 2.94 2.89 N/A
Justin Shockey Maryland 2 2.72 2.72 N/A
Donny Stock Utah 2 2.69 2.52 N/A
Trey Arnold Robert Morris 1 2.68 2.42 N/A
Jake Hervada Delaware 1 2.66 3.05 N/A
Michael Ott Rutgers 2 2.62 2.76 N/A
Jakob Phaup Syracuse 1 2.60 2.29 N/A
Robert Carroll Manhattan 1 2.53 2.39 N/A
Malcolm Feeney Colgate 1 2.43 2.90 N/A
James Reilly Georgetown 1 2.42 2.56 N/A
Zack Ornstein Villanova 1 2.42 2.28 N/A
Jake Glatz Penn State 2 2.41 2.89 N/A
Riley Owens Wagner 3 2.37 1.87 N/A
Thomas Washington Marquette 2 2.33 2.12 N/A
Liam Mcdonough UMass-Lowell 1 2.28 1.79 N/A
Luke Saad Mercer 2 2.26 2.26 N/A
Michael Abizaid Furman 2 2.22 2.22 N/A