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: Apr 20, 2019 15:16 ET
All Offense Defense FOGOs
Player Team Team Games Season EGA FOGO EGA 1-Week Change
TD Ierlan Yale 11 66.28 60.39
Alex Woodall Towson 11 59.16 53.85 1
Matthew Pedicine Hobart 13 56.19 54.30 1
Conor Gaffney Lehigh 13 49.04 47.06
Gerard Arceri Penn State 11 47.02 43.23
Kyle Gallagher Penn 10 44.73 41.02
Sean Christman Boston U 13 43.91 41.60
Bailey Savio Loyola 12 43.65 41.85
Tom Meyers UMass 12 42.22 42.21
Liam McDonough UMass-Lowell 12 42.03 37.86 1
Dan OConnell Holy Cross 11 40.61 36.64 2
Sam Stephan Mount St Marys 14 40.50 32.90 1
Zach Cole Saint Joseph’s 12 40.14 36.38 2
Jimmeh Koita Drexel 11 40.12 40.56
Alex Jarzembowski Detroit 11 39.82 34.00 3
Peyton Smith Marist 12 39.07 39.11 6
Justin Inacio Ohio State 10 38.92 37.07 7
Charles Leonard Notre Dame 11 38.89 34.49 10
Petey LaSalla Virginia 13 38.45 33.84 3
James Reilly Georgetown 13 38.05 34.12 11
Brett Boos Denver 11 37.87 35.84 2
Brian Herber Hofstra 12 37.58 37.03 2
Trent Harper Air Force 12 37.10 33.24 3
Davis Sampere High Point 12 37.08 35.50 2
Brian Smyth Duke 13 36.91 32.87 4
Ashton Wood Mercer 11 36.69 32.74 4
Daniel Balawejder Canisius 14 35.38 33.06 3
Danny Tesler Cleveland State 13 35.18 32.56 4
Nick Warren Wagner 12 33.25 27.67 2
Jarett Witzal Bucknell 12 33.25 34.35 2
Trey Arnold Robert Morris 13 32.74 30.69 7
Frankie Labetti Fairfield 12 32.71 28.38 2
Jake Giaquinto Sacred Heart 13 32.19 26.22 5
Jason Zou Siena 11 30.71 29.13 3
Zachary Tucci North Carolina 12 30.44 29.34 3
Austin Henningsen Maryland 12 30.27 30.41 5
Kyle Prouty Johns Hopkins 11 29.52 27.26 5
Austin Jones Albany 12 28.14 29.84 4
Robert Carroll Manhattan 13 27.60 26.05 1
Malcolm Feeney Colgate 11 26.64 27.10 3
Jakob Phaup Syracuse 11 25.69 25.93 3
Tyler Stevenson NJIT 12 24.61 24.06 2
Jared Hershman Marquette 12 23.45 22.72 1
Nick Barry Navy 11 23.33 24.46 2
Justin Tkachuk Hartford 13 22.87 18.48 1
Demitri George Quinnipiac 11 21.94 22.59
Jack Aigner Bryant 13 21.90 20.94 1
Dan Fisher Villanova 12 20.88 20.18 1
Jack-Herny Vara Princeton 12 20.38 19.40 2
Ian Weinberg Monmouth 10 20.08 21.05