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NHL Stack Finder: Friday, Oct 30

Every forward line and first power-play unit on the Friday, Oct 30 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: SEA L1 (Eberle–Stephenson–McMann) vs CGY.

Data updated: Oct 4, 9:30 AM ET

Stacks with a player who is

Top 10 stacks

#1SEAL1vs CGY0.59 xG
Jordan Eberle30%, Chandler Stephenson17%, Bobby McMann44%
10.0 min/game · 4.02 xGF/60 · P(intact) 82%
- CGY 5v5 xGA/60 +8%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 2 of last 3
- DK correlation .28
#2NJDPP1vs VGK0.53 xG
Jesper Bratt97%, Nico Hischier97%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%
5.2 min/game · 6.75 xGF/60 · P(intact) 95%
- VGK shorthanded time +4%
- VGK PK xGA/60 −11%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .18
#3NJDL2vs VGK0.50 xG
Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%
9.5 min/game · 3.54 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .27
#4FLAL2vs WPG0.50 xG
Eetu Luostarinen12%, Anton Lundell46%, Sandis Vilmanis6.4%
7.1 min/game · 4.23 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
- DK correlation .27
#5FLAL1vs WPG0.49 xG
Carter Verhaeghe72%, Sam Bennett84%, Matthew Tkachuk100%
9.7 min/game · 3.10 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
- DK correlation .28
#6NJDL1vs VGK0.49 xG
Anthony Mantha52%, Jesper Bratt97%, Jack Hughes100%
9.8 min/game · 3.38 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .29
#7VGKL2vs NJD0.42 xG
Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
8.8 min/game · 3.45 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3
- DK correlation .28
#8CGYL1vs SEA0.39 xG
Morgan Frost23%, Matt Coronato40%, Matvei Gridin40%
10.6 min/game · 2.31 xGF/60 · P(intact) 95%
- SEA 5v5 xGA/60 +3%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 3 of last 3
- DK correlation .28
#9NJDL3vs VGK0.39 xG
Timo Meier82%, Nico Hischier97%, Luke Evangelista70%
8.7 min/game · 3.01 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .28
#10VGKL3vs NJD0.38 xG
Tomas Hertl84%, Victor Olofsson14%, Trevor Connelly33%
6.8 min/game · 4.07 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3

By game

NJD @ VGK

NJDPP1vs VGK0.53 xG
Jesper Bratt97%, Nico Hischier97%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%
5.2 min/game · 6.75 xGF/60 · P(intact) 95%
- VGK shorthanded time +4%
- VGK PK xGA/60 −11%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .18
NJDL2vs VGK0.50 xG
Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%
9.5 min/game · 3.54 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .27
NJDL1vs VGK0.49 xG
Anthony Mantha52%, Jesper Bratt97%, Jack Hughes100%
9.8 min/game · 3.38 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .29
VGKL2vs NJD0.42 xG
Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
8.8 min/game · 3.45 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3
- DK correlation .28
NJDL3vs VGK0.39 xG
Timo Meier82%, Nico Hischier97%, Luke Evangelista70%
8.7 min/game · 3.01 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
- DK correlation .28
VGKL3vs NJD0.38 xG
Tomas Hertl84%, Victor Olofsson14%, Trevor Connelly33%
6.8 min/game · 4.07 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3
VGKPP1vs NJD0.31 xG
Mark Stone93%, Tomas Hertl84%, Shea Theodore91%, Jack Eichel99%, Mitch Marner99%
3.1 min/game · 7.47 xGF/60 · P(intact) 82%
- NJD shorthanded time −10%
- NJD PK xGA/60 −2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3
- DK correlation .18
VGKL1vs NJD0.25 xG
William Karlsson24%, Mitch Marner99%, Brett Howden16%
8.8 min/game · 2.08 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3
- DK correlation .27
NJDL4vs VGK0.16 xG
Stefan Noesen0.1%, Cody Glass4.9%, Amadeus Lombardi4.8%
4.8 min/game · 2.21 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (65% to start)
- Hart .880 on other shots
- Together 2 of last 2
VGKL4vs NJD0.14 xG
Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%
5.5 min/game · 1.83 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (63% to start)
- Allen .848 on rebounds
- Together 2 of last 3

WPG @ FLA

FLAL2vs WPG0.50 xG
Eetu Luostarinen12%, Anton Lundell46%, Sandis Vilmanis6.4%
7.1 min/game · 4.23 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
- DK correlation .27
FLAL1vs WPG0.49 xG
Carter Verhaeghe72%, Sam Bennett84%, Matthew Tkachuk100%
9.7 min/game · 3.10 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
- DK correlation .28
WPGL1vs FLA0.32 xG
Mark Scheifele99%, Kyle Connor99%, Gabriel Vilardi80%
6.2 min/game · 3.08 xGF/60 · P(intact) 95%
- FLA 5v5 xGA/60 −2%
- vs Jacob Markstrom .885 (70% to start)
- Markstrom .811 on rebounds
- Together 2 of last 2
- DK correlation .28
FLAPP1vs WPG0.31 xG
Aleksander Barkov97%, Seth Jones80%, Sam Reinhart99%, Matthew Tkachuk100%, Brady Tkachuk100%
2.6 min/game · 7.16 xGF/60 · P(intact) 95%
- WPG shorthanded time −12%
- WPG PK xGA/60 +2%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
- DK correlation .10
FLAL3vs WPG0.16 xG
Aleksander Barkov97%, Sam Reinhart99%, Brady Tkachuk100%
5.8 min/game · 1.64 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
FLAL4vs WPG0.12 xG
Lars Eller0.2%, Garnet Hathaway4.8%, Bokondji Imama0.2%
4.0 min/game · 1.77 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Connor Hellebuyck .895 (39% to start)
- Hellebuyck .852 on rebounds
- Together 2 of last 2
WPGPP1vs FLA0.12 xG
Jonathan Toews0.3%, Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%
4.9 min/game · 8.38 xGF/60 · P(intact) 18%
- FLA shorthanded time +18%
- FLA PK xGA/60 −11%
- vs Jacob Markstrom .885 (70% to start)
- Markstrom .811 on rebounds
- Together 1 of last 2
- DK correlation .19
WPGL2vs FLA0.12 xG
Nino Niederreiter4.0%, Adam Lowry5.7%, Cole Perfetti37%
11.7 min/game · 3.15 xGF/60 · P(intact) 18%
- FLA 5v5 xGA/60 −2%
- vs Jacob Markstrom .885 (70% to start)
- Markstrom .811 on rebounds
- Together 1 of last 2
- DK correlation .27
WPGL4vs FLA0.07 xG
Cole Koepke0.0%, Nikita Chibrikov9.6%, Brayden Yager19%
7.3 min/game · 3.07 xGF/60 · P(intact) 18%
- FLA 5v5 xGA/60 −2%
- vs Jacob Markstrom .885 (70% to start)
- Markstrom .811 on rebounds
- Together 1 of last 2
WPGL3vs FLA0.07 xG
Jonathan Toews0.3%, Isak Rosen14%, Brad Lambert15%
9.7 min/game · 2.32 xGF/60 · P(intact) 18%
- FLA 5v5 xGA/60 −2%
- vs Jacob Markstrom .885 (70% to start)
- Markstrom .811 on rebounds
- Together 1 of last 2
- DK correlation .27

SEA @ CGY

SEAL1vs CGY0.59 xG
Jordan Eberle30%, Chandler Stephenson17%, Bobby McMann44%
10.0 min/game · 4.02 xGF/60 · P(intact) 82%
- CGY 5v5 xGA/60 +8%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 2 of last 3
- DK correlation .28
CGYL1vs SEA0.39 xG
Morgan Frost23%, Matt Coronato40%, Matvei Gridin40%
10.6 min/game · 2.31 xGF/60 · P(intact) 95%
- SEA 5v5 xGA/60 +3%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 3 of last 3
- DK correlation .28
SEAL3vs CGY0.33 xG
Ryan Winterton4.0%, Shane Wright27%, Berkly Catton30%
8.8 min/game · 2.57 xGF/60 · P(intact) 82%
- CGY 5v5 xGA/60 +8%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 2 of last 3
- DK correlation .27
SEAL2vs CGY0.31 xG
Jared McCann72%, Kaapo Kakko18%, Matty Beniers50%
9.5 min/game · 2.20 xGF/60 · P(intact) 82%
- CGY 5v5 xGA/60 +8%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 2 of last 3
- DK correlation .28
CGYL2vs SEA0.31 xG
Mikael Backlund14%, Joel Farabee11%, Samuel Honzek15%
8.3 min/game · 2.66 xGF/60 · P(intact) 82%
- SEA 5v5 xGA/60 +3%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 2 of last 3
- DK correlation .27
CGYPP1vs SEA0.20 xG
Morgan Frost23%, Joel Farabee11%, Matt Coronato40%, Zayne Parekh68%, Matvei Gridin40%
1.6 min/game · 6.47 xGF/60 · P(intact) 95%
- SEA shorthanded time −21%
- SEA PK xGA/60 +18%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 3 of last 3
- DK correlation .20
CGYL3vs SEA0.17 xG
Martin Pospisil6.4%, Adam Klapka8.9%, Maxim Tsyplakov14%
7.6 min/game · 1.65 xGF/60 · P(intact) 82%
- SEA 5v5 xGA/60 +3%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 2 of last 3
- DK correlation .27
SEAPP1vs CGY0.16 xG
Brandon Montour83%, Kaapo Kakko18%, Matty Beniers50%, Shane Wright27%, Berkly Catton30%
3.0 min/game · 3.70 xGF/60 · P(intact) 82%
- CGY shorthanded time +32%
- CGY PK xGA/60 +6%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 2 of last 3
- DK correlation .19
SEAL4vs CGY0.13 xG
Frederick Gaudreau0.2%, Mackie Samoskevich, Ben Meyers0.0%
5.7 min/game · 1.88 xGF/60 · P(intact) 68%
- CGY 5v5 xGA/60 +8%
- vs Dustin Wolf .897 (80% to start)
- Wolf .842 on rebounds
- Together 1 of last 3
- DK correlation .27
CGYL4vs SEA0.05 xG
Ryan Strome4.0%, Yegor Sharangovich7.8%, Connor Zary10%
10.9 min/game · 2.45 xGF/60 · P(intact) 12%
- SEA 5v5 xGA/60 +3%
- vs Joey Daccord .899 (61% to start)
- Daccord .862 on rebounds
- Together 1 of last 3
- DK correlation .27

How it works

Lines and PP1 come from each team's last three games of shift data: the forward trio with the most 5-on-5 time together, and the power-play five with the most time together.
Unit strength is expected goals for per 60 minutes, recent games plus the season, shrunk toward league average so a hot two-game sample does not dominate.
Matchup: the opponent's 5-on-5 expected goals against per 60 (for lines) or its penalty-kill rate and shorthanded minutes (for PP1), relative to the league.
Goalie: the likely opposing starter from our goalie start model, weighted by probability, with his save % shrunk toward league average; shot-class save % when available.
Stack score = rate × minutes × P(unit intact) × matchup × goalie, in expected goals for tonight, so lines and power plays rank on one scale.

Methodology: How we detect lines · Expected goals · Goalie shot classes · Goalie start model

Frequently asked questions

What is a stack in fantasy hockey?

A stack is a group of teammates who play together, usually a forward line or the first power-play unit, so one goal pays several of your players at once. It is the main strategy in daily fantasy hockey.

How are stacks ranked?

Each unit gets an expected-goals number for tonight: how many chances it creates per 60 minutes (recent games plus season, shrunk toward league average), how many minutes it plays, how likely it is to stay together, how leaky the opponent is at 5-on-5 or shorthanded, and how good the likely opposing goalie is.

Where do the lines come from?

From the NHL shift charts of each team's last three games: the three forwards who share the most 5-on-5 ice time form a line, and the five skaters with the most power-play time together form PP1.

Why does it say "shot-based"?

While a season is being reprocessed with our expected-goals model, unit rates fall back to shots on goal times a league-average 0.075 xG per shot. The ranking logic is the same.