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NHL Stack Finder: Sunday, Nov 1

Every forward line and first power-play unit on the Sunday, Nov 1 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM L1 (Draisaitl–McDavid–Podkolzin) vs NYR.

Data updated: Oct 4, 11:33 AM ET

Stacks with a player who is

Top 10 stacks

#1EDML1vs NYR0.69 xG
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin70%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- NYR 5v5 xGA/60 −1%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
- DK correlation .28
#2NYRL2vs EDM0.58 xG
J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%
8.9 min/game · 3.59 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
#3CARL1vs WPG0.52 xG
Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%
7.8 min/game · 3.81 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
- DK correlation .29
#4UTAPP1vs PHI0.52 xG
Nick Schmaltz94%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%
3.5 min/game · 9.56 xGF/60 · P(intact) 95%
- PHI shorthanded time +6%
- PHI PK xGA/60 −1%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- DK correlation .21
#5NYRL1vs EDM0.52 xG
Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%
10.8 min/game · 2.64 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
- DK correlation .28
#6WPGL1vs CAR0.52 xG
Mark Scheifele99%, Kyle Connor99%, Cole Perfetti37%
11.5 min/game · 2.78 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −2%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .27
#7MINPP1vs WSH0.51 xG
Joel Eriksson Ek82%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%, Maxim Shabanov26%
4.2 min/game · 8.82 xGF/60 · P(intact) 82%
- WSH shorthanded time +2%
- WSH PK xGA/60 +10%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .18
#8ANAL1vs OTT0.47 xG
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
10.5 min/game · 2.89 xGF/60 · P(intact) 95%
- OTT 5v5 xGA/60 −11%
- vs Samuel Ersson .870 (35% to start)
- Ersson .831 on rebounds
- Together 3 of last 3
- DK correlation .28
#9UTAL3vs PHI0.47 xG
Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
9.0 min/game · 4.16 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .28
#10WPGPP1vs CAR0.43 xG
Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%, Cole Perfetti37%
3.6 min/game · 8.13 xGF/60 · P(intact) 95%
- CAR shorthanded time +7%
- CAR PK xGA/60 −11%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .19

By game

WPG @ CAR

CARL1vs WPG0.52 xG
Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%
7.8 min/game · 3.81 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
- DK correlation .29
WPGL1vs CAR0.52 xG
Mark Scheifele99%, Kyle Connor99%, Cole Perfetti37%
11.5 min/game · 2.78 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −2%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .27
WPGPP1vs CAR0.43 xG
Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%, Cole Perfetti37%
3.6 min/game · 8.13 xGF/60 · P(intact) 95%
- CAR shorthanded time +7%
- CAR PK xGA/60 −11%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .19
CARPP1vs WPG0.37 xG
Shayne Gostisbehere96%, Nikolaj Ehlers93%, Sebastian Aho99%, Andrei Svechnikov97%, Jackson Blake69%
2.6 min/game · 8.74 xGF/60 · P(intact) 95%
- WPG shorthanded time −11%
- WPG PK xGA/60 −4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
- DK correlation .20
CARL2vs WPG0.31 xG
Jordan Staal20%, Jordan Martinook4.3%, Nikolaj Ehlers93%
6.9 min/game · 2.58 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
- DK correlation .27
WPGL2vs CAR0.27 xG
Gabriel Vilardi80%, Isak Rosen14%, Viggo Björck44%
9.3 min/game · 1.78 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −2%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
WPGL3vs CAR0.22 xG
Adam Lowry5.7%, Morgan Barron4.8%, Brad Lambert15%
9.1 min/game · 1.53 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −2%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .28
WPGL4vs CAR0.14 xG
Nino Niederreiter4.0%, Vladislav Namestnikov0.1%, Alex Iafallo4.3%
7.3 min/game · 1.24 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −2%
- vs Brandon Bussi .894 (90% to start)
- Bussi .843 on rebounds
- Together 1 of last 1
- DK correlation .28
CARL3vs WPG0.07 xG
Sebastian Aho99%, Eric Robinson3.2%, Andrei Svechnikov97%
5.6 min/game · 2.74 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
- DK correlation .28
CARL4vs WPG0.04 xG
Nicolas Deslauriers0.2%, Mark Jankowski0.2%, William Carrier0.1%
4.0 min/game · 2.16 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (63% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
- DK correlation .29

MIN @ WSH

MINPP1vs WSH0.51 xG
Joel Eriksson Ek82%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%, Maxim Shabanov26%
4.2 min/game · 8.82 xGF/60 · P(intact) 82%
- WSH shorthanded time +2%
- WSH PK xGA/60 +10%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .18
WSHL2vs MIN0.42 xG
Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%
7.3 min/game · 3.74 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 +2%
- vs Jesper Wallstedt .918 (49% to start)
- Wallstedt .839 on rebounds
- Together 2 of last 2
WSHL4vs MIN0.35 xG
Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%
6.9 min/game · 3.31 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 +2%
- vs Jesper Wallstedt .918 (49% to start)
- Wallstedt .839 on rebounds
- Together 2 of last 2
- DK correlation .27
WSHL3vs MIN0.30 xG
Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%
7.2 min/game · 2.73 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 +2%
- vs Jesper Wallstedt .918 (49% to start)
- Wallstedt .839 on rebounds
- Together 2 of last 2
- DK correlation .28
WSHL1vs MIN0.26 xG
Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%
8.1 min/game · 2.11 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 +2%
- vs Jesper Wallstedt .918 (49% to start)
- Wallstedt .839 on rebounds
- Together 2 of last 2
- DK correlation .27
MINL1vs WSH0.26 xG
Nick Foligno4.1%, Marcus Foligno4.2%, Michael McCarron7.3%
8.6 min/game · 2.25 xGF/60 · P(intact) 82%
- WSH 5v5 xGA/60 +7%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .28
MINL3vs WSH0.25 xG
Blake Coleman38%, Joel Eriksson Ek82%, Matt Boldy100%
7.7 min/game · 2.48 xGF/60 · P(intact) 82%
- WSH 5v5 xGA/60 +7%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .26
WSHPP1vs MIN0.23 xG
Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%
2.1 min/game · 6.73 xGF/60 · P(intact) 95%
- MIN shorthanded time +7%
- MIN PK xGA/60 +5%
- vs Jesper Wallstedt .918 (49% to start)
- Wallstedt .839 on rebounds
- Together 2 of last 2
- DK correlation .17
MINL2vs WSH0.18 xG
Ryan Hartman40%, Yakov Trenin22%, Bobby Brink14%
8.0 min/game · 1.68 xGF/60 · P(intact) 82%
- WSH 5v5 xGA/60 +7%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .28
MINL4vs WSH0.16 xG
Kirill Kaprizov98%, Danila Yurov32%, Maxim Shabanov26%
7.0 min/game · 1.73 xGF/60 · P(intact) 82%
- WSH 5v5 xGA/60 +7%
- vs Logan Thompson .912 (96% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
- DK correlation .27

UTA @ PHI

UTAPP1vs PHI0.52 xG
Nick Schmaltz94%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%
3.5 min/game · 9.56 xGF/60 · P(intact) 95%
- PHI shorthanded time +6%
- PHI PK xGA/60 −1%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- DK correlation .21
UTAL3vs PHI0.47 xG
Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
9.0 min/game · 4.16 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .28
UTAL1vs PHI0.40 xG
Vincent Trocheck88%, Nick Schmaltz94%, Clayton Keller100%
11.0 min/game · 2.86 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .29
PHIPP1vs UTA0.36 xG
Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%, Matvei Michkov86%
4.3 min/game · 7.25 xGF/60 · P(intact) 68%
- UTA shorthanded time −2%
- UTA PK xGA/60 −2%
- vs Karel Vejmelka .898 (95% to start)
- Vejmelka .740 on rebounds
- Together 1 of last 3
- DK correlation .19
UTAL4vs PHI0.33 xG
Kevin Stenlund0.1%, Michael Carcone5.0%, Daniil But21%
8.6 min/game · 2.97 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .28
UTAL2vs PHI0.32 xG
Lawson Crouse36%, Barrett Hayton11%, Jack McBain17%
9.1 min/game · 2.74 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .28
PHIL1vs UTA0.05 xG
Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%
6.3 min/game · 1.91 xGF/60 · P(intact) 23%
- UTA 5v5 xGA/60 −2%
- vs Karel Vejmelka .898 (95% to start)
- Vejmelka .740 on rebounds
- Together 2 of last 3
- DK correlation .29
PHIL2vs UTA0.04 xG
Noah Cates18%, Tyson Foerster42%, Matvei Michkov86%
7.9 min/game · 2.82 xGF/60 · P(intact) 12%
- UTA 5v5 xGA/60 −2%
- vs Karel Vejmelka .898 (95% to start)
- Vejmelka .740 on rebounds
- Together 1 of last 3
- DK correlation .28
PHIL3vs UTA0.03 xG
Christian Dvorak16%, Travis Konecny92%, Porter Martone90%
6.6 min/game · 2.50 xGF/60 · P(intact) 12%
- UTA 5v5 xGA/60 −2%
- vs Karel Vejmelka .898 (95% to start)
- Vejmelka .740 on rebounds
- Together 1 of last 3
- DK correlation .27
PHIL4vs UTA0.02 xG
Owen Tippett78%, Trevor Zegras86%, Alex Bump15%
4.7 min/game · 1.83 xGF/60 · P(intact) 12%
- UTA 5v5 xGA/60 −2%
- vs Karel Vejmelka .898 (95% to start)
- Vejmelka .740 on rebounds
- Together 1 of last 3
- DK correlation .28

EDM @ NYR

EDML1vs NYR0.69 xG
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin70%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- NYR 5v5 xGA/60 −1%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
- DK correlation .28
NYRL2vs EDM0.58 xG
J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%
8.9 min/game · 3.59 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
NYRL1vs EDM0.52 xG
Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%
10.8 min/game · 2.64 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
- DK correlation .28
EDMPP1vs NYR0.40 xG
Leon Draisaitl100%, Kasperi Kapanen9.2%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin70%
3.5 min/game · 8.43 xGF/60 · P(intact) 82%
- NYR shorthanded time +1%
- NYR PK xGA/60 +6%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
- DK correlation .21
NYRL3vs EDM0.35 xG
Eeli Tolvanen35%, Will Cuylle64%, Noah Laba11%
8.0 min/game · 2.43 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
- DK correlation .29
NYRPP1vs EDM0.24 xG
Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev92%, Alexis Lafrenière82%
2.0 min/game · 6.34 xGF/60 · P(intact) 95%
- EDM shorthanded time −16%
- EDM PK xGA/60 +10%
- vs Devon Levi .810 (39% to start)
- Together 3 of last 3
- DK correlation .18
EDML4vs NYR0.21 xG
Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%
5.3 min/game · 3.23 xGF/60 · P(intact) 82%
- NYR 5v5 xGA/60 −1%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
- DK correlation .27
EDML2vs NYR0.21 xG
Mathieu Joseph0.1%, Alex Formenton9.6%, Owen Michaels3.2%
10.1 min/game · 1.65 xGF/60 · P(intact) 82%
- NYR 5v5 xGA/60 −1%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
NYRL4vs EDM0.15 xG
Joseph Veleno4.1%, Tye Kartye7.2%, Jaroslav Chmelar3.2%
5.3 min/game · 1.87 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +4%
- vs Devon Levi .810 (39% to start)
- Together 2 of last 3
EDML3vs NYR0.13 xG
Kasperi Kapanen9.2%, Max Jones0.1%, Colton Dach11%
8.0 min/game · 1.34 xGF/60 · P(intact) 82%
- NYR 5v5 xGA/60 −1%
- vs Igor Shesterkin .912 (88% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3

OTT @ ANA

ANAL1vs OTT0.47 xG
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
10.5 min/game · 2.89 xGF/60 · P(intact) 95%
- OTT 5v5 xGA/60 −11%
- vs Samuel Ersson .870 (35% to start)
- Ersson .831 on rebounds
- Together 3 of last 3
- DK correlation .28
ANAL2vs OTT0.40 xG
A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%
9.9 min/game · 3.57 xGF/60 · P(intact) 68%
- OTT 5v5 xGA/60 −11%
- vs Samuel Ersson .870 (35% to start)
- Ersson .831 on rebounds
- Together 1 of last 3
- DK correlation .27
OTTL1vs ANA0.29 xG
Claude Giroux30%, Michael Amadio3.3%, Shane Pinto37%
6.7 min/game · 2.44 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +4%
- vs Lukas Dostal .889 (94% to start)
- Dostal .875 on cycle shots
- Together 2 of last 2
- DK correlation .27
ANAL4vs OTT0.25 xG
Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.8%
7.8 min/game · 2.86 xGF/60 · P(intact) 68%
- OTT 5v5 xGA/60 −11%
- vs Samuel Ersson .870 (35% to start)
- Ersson .831 on rebounds
- Together 1 of last 3
- DK correlation .28
OTTL2vs ANA0.16 xG
Warren Foegele4.0%, Drake Batherson97%, Tim Stützle99%
5.5 min/game · 1.62 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +4%
- vs Lukas Dostal .889 (94% to start)
- Dostal .875 on cycle shots
- Together 2 of last 2
- DK correlation .27
OTTL4vs ANA0.12 xG
Nick Cousins0.1%, Hayden Hodgson0.0%, Stephen Halliday4.8%
4.0 min/game · 2.16 xGF/60 · P(intact) 75%
- ANA 5v5 xGA/60 +4%
- vs Lukas Dostal .889 (94% to start)
- Dostal .875 on cycle shots
- Together 1 of last 2
- DK correlation .28
ANAPP1vs OTT0.07 xG
Alex Killorn5.1%, Jackson LaCombe98%, Mason McTavish51%, Cutter Gauthier98%, Beckett Sennecke94%
3.2 min/game · 6.06 xGF/60 · P(intact) 23%
- OTT shorthanded time +11%
- OTT PK xGA/60 −10%
- vs Samuel Ersson .870 (35% to start)
- Ersson .831 on rebounds
- Together 2 of last 3
- DK correlation .20

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.