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NHL Stack Finder: Tuesday, Oct 6

Every forward line and first power-play unit on the Tuesday, Oct 6 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: STL L1 (Thomas–Holloway–Snuggerud) vs CHI.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1STLL1vs CHI0.81 xG

    Robert Thomas93%, Dylan Holloway95%, Jimmy Snuggerud80%

    11.5 min/game · 3.80 xGF/60 · P(intact) 95%

    • CHI 5v5 xGA/60 +14%
    • vs Spencer Knight .902 (78% to start)
    • Knight .865 on rebounds
    • Together 3 of last 3
  2. #2UTAPP1vs NJD0.52 xG

    Nick Schmaltz94%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%

    3.8 min/game · 9.49 xGF/60 · P(intact) 95%

    • NJD shorthanded time −8%
    • NJD PK xGA/60 −6%
    • vs Jake Allen .904 (85% to start)
    • Allen .848 on rebounds
    • Together 3 of last 3
  3. #3NYRL2vs NYI0.51 xG

    J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%

    8.9 min/game · 3.59 xGF/60 · P(intact) 95%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  4. #4TORL1vs NSH0.50 xG

    Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%

    11.0 min/game · 2.94 xGF/60 · P(intact) 82%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .894 (92% to start)
    • Saros .780 on rebounds
    • Together 2 of last 3
  5. #5MTLPP1vs CAR0.49 xG

    Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský99%, Ivan Demidov92%

    3.8 min/game · 8.69 xGF/60 · P(intact) 95%

    • CAR shorthanded time +8%
    • CAR PK xGA/60 −10%
    • vs Brandon Bussi .894 (97% to start)
    • Bussi .843 on rebounds
    • Together 3 of last 3
  6. #6NYRL1vs NYI0.46 xG

    Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%

    10.8 min/game · 2.64 xGF/60 · P(intact) 95%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  7. #7NJDPP1vs UTA0.45 xG

    Jesper Bratt96%, Nico Hischier98%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%

    5.3 min/game · 6.81 xGF/60 · P(intact) 75%

    • UTA shorthanded time −1%
    • UTA PK xGA/60 +0%
    • vs Karel Vejmelka .898 (94% to start)
    • Vejmelka .740 on rebounds
    • Together 1 of last 2
  8. #8CARL1vs MTL0.44 xG

    Taylor Hall28%, Logan Stankoven67%, Jackson Blake68%

    7.2 min/game · 3.72 xGF/60 · P(intact) 95%

    • MTL 5v5 xGA/60 +5%
    • vs Jakub Dobes .902 (87% to start)
    • Dobes .870 on rebounds
    • Together 3 of last 3
  9. #9VGKL2vs SEA0.42 xG

    Mark Stone93%, Ivan Barbashev67%, Jack Eichel99%

    8.8 min/game · 3.45 xGF/60 · P(intact) 82%

    • SEA 5v5 xGA/60 +3%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  10. #10CARPP1vs MTL0.42 xG

    Shayne Gostisbehere96%, Nikolaj Ehlers93%, Sebastian Aho99%, Andrei Svechnikov97%, Jackson Blake68%

    3.3 min/game · 8.73 xGF/60 · P(intact) 82%

    • MTL shorthanded time +7%
    • MTL PK xGA/60 +7%
    • vs Jakub Dobes .902 (87% to start)
    • Dobes .870 on rebounds
    • Together 2 of last 3

By game

NSH @ TOR

CAR @ MTL

OTT @ DET

UTA @ NJD

NYI @ NYR

  • NYRL2vs NYI0.51 xG

    J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%

    8.9 min/game · 3.59 xGF/60 · P(intact) 95%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  • NYRL1vs NYI0.46 xG

    Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%

    10.8 min/game · 2.64 xGF/60 · P(intact) 95%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  • NYIPP1vs NYR0.35 xG

    Kyle Palmieri19%, Brayden Schenn29%, Bo Horvat91%, Matias Maccelli14%, Matthew Schaefer100%

    4.9 min/game · 5.82 xGF/60 · P(intact) 75%

    • NYR shorthanded time +4%
    • NYR PK xGA/60 +7%
    • vs Igor Shesterkin .912 (69% to start)
    • Shesterkin .846 on rebounds
    • Together 1 of last 2
  • NYRL3vs NYI0.31 xG

    Eeli Tolvanen36%, Will Cuylle64%, Noah Laba11%

    8.0 min/game · 2.43 xGF/60 · P(intact) 95%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  • NYRPP1vs NYI0.22 xG

    Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev92%, Alexis Lafrenière82%

    2.0 min/game · 6.34 xGF/60 · P(intact) 95%

    • NYI shorthanded time −13%
    • NYI PK xGA/60 +14%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 3 of last 3
  • NYRL4vs NYI0.14 xG

    Joseph Veleno3.3%, Tye Kartye7.2%, Jaroslav Chmelar3.2%

    5.3 min/game · 1.87 xGF/60 · P(intact) 82%

    • NYI 5v5 xGA/60 +6%
    • vs Ilya Sorokin .906 (98% to start)
    • Sorokin .880 on rebounds
    • Together 2 of last 3
  • NYIL1vs NYR0.10 xG

    Brayden Schenn29%, Mathew Barzal83%, Calum Ritchie31%

    10.2 min/game · 3.53 xGF/60 · P(intact) 18%

    • NYR 5v5 xGA/60 −4%
    • vs Igor Shesterkin .912 (69% to start)
    • Shesterkin .846 on rebounds
    • Together 1 of last 2
  • NYIL2vs NYR0.07 xG

    Bo Horvat91%, Simon Holmstrom16%, Victor Eklund37%

    9.8 min/game · 2.47 xGF/60 · P(intact) 18%

    • NYR 5v5 xGA/60 −4%
    • vs Igor Shesterkin .912 (69% to start)
    • Shesterkin .846 on rebounds
    • Together 1 of last 2
  • NYIL4vs NYR0.03 xG

    Casey Cizikas0.1%, Ondrej Palat0.1%, Liam Foudy0.0%

    7.7 min/game · 1.62 xGF/60 · P(intact) 18%

    • NYR 5v5 xGA/60 −4%
    • vs Igor Shesterkin .912 (69% to start)
    • Shesterkin .846 on rebounds
    • Together 1 of last 2

MIN @ BUF

  • BUFPP1vs MIN0.41 xG

    Tage Thompson100%, Rasmus Dahlin100%, Jack Quinn45%, Josh Doan61%, Zach Benson56%

    2.8 min/game · 9.30 xGF/60 · P(intact) 95%

    • MIN shorthanded time +8%
    • MIN PK xGA/60 +6%
    • vs Jesper Wallstedt .916 (64% to start)
    • Wallstedt .837 on rebounds
    • Together 3 of last 3
  • MINPP1vs BUF0.40 xG

    Joel Eriksson Ek82%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%, Maxim Shabanov26%

    5.1 min/game · 7.38 xGF/60 · P(intact) 68%

    • BUF shorthanded time −7%
    • BUF PK xGA/60 −1%
    • vs Ukko-Pekka Luukkonen .907 (77% to start)
    • Luukkonen .867 on rebounds
    • Together 1 of last 3
  • BUFL1vs MIN0.19 xG

    Tage Thompson100%, Josh Norris39%, Zach Benson56%

    14.5 min/game · 3.61 xGF/60 · P(intact) 23%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .916 (64% to start)
    • Wallstedt .837 on rebounds
    • Together 2 of last 3
  • BUFL3vs MIN0.12 xG

    Jason Zucker23%, Jack Quinn45%, Konsta Helenius40%

    11.5 min/game · 3.03 xGF/60 · P(intact) 23%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .916 (64% to start)
    • Wallstedt .837 on rebounds
    • Together 2 of last 3
  • MINL3vs BUF0.06 xG

    Nick Foligno4.1%, Marcus Foligno4.1%, Nico Sturm0.1%

    6.3 min/game · 2.72 xGF/60 · P(intact) 23%

    • BUF 5v5 xGA/60 +0%
    • vs Ukko-Pekka Luukkonen .907 (77% to start)
    • Luukkonen .867 on rebounds
    • Together 2 of last 3
  • MINL2vs BUF0.06 xG

    Marcus Johansson0.7%, Michael McCarron7.3%, Matt Boldy100%

    6.8 min/game · 2.27 xGF/60 · P(intact) 23%

    • BUF 5v5 xGA/60 +0%
    • vs Ukko-Pekka Luukkonen .907 (77% to start)
    • Luukkonen .867 on rebounds
    • Together 2 of last 3
  • MINL4vs BUF0.04 xG

    Vladimir Tarasenko10%, Yakov Trenin22%, Danila Yurov32%

    7.7 min/game · 2.44 xGF/60 · P(intact) 12%

    • BUF 5v5 xGA/60 +0%
    • vs Ukko-Pekka Luukkonen .907 (77% to start)
    • Luukkonen .867 on rebounds
    • Together 1 of last 3

STL @ CHI

VGK @ SEA

  • VGKL2vs SEA0.42 xG

    Mark Stone93%, Ivan Barbashev67%, Jack Eichel99%

    8.8 min/game · 3.45 xGF/60 · P(intact) 82%

    • SEA 5v5 xGA/60 +3%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  • VGKL3vs SEA0.39 xG

    Tomas Hertl83%, Victor Olofsson12%, Trevor Connelly32%

    6.8 min/game · 4.07 xGF/60 · P(intact) 82%

    • SEA 5v5 xGA/60 +3%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  • VGKPP1vs SEA0.32 xG

    Mark Stone93%, Tomas Hertl83%, Shea Theodore91%, Jack Eichel99%, Mitch Marner99%

    2.8 min/game · 7.47 xGF/60 · P(intact) 82%

    • SEA shorthanded time −19%
    • SEA PK xGA/60 +14%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  • SEAPP1vs VGK0.26 xG

    Jordan Eberle30%, Chandler Stephenson17%, Jared McCann71%, Vince Dunn88%, Bobby McMann45%

    3.2 min/game · 7.88 xGF/60 · P(intact) 68%

    • VGK shorthanded time +7%
    • VGK PK xGA/60 −14%
    • vs Carter Hart .889 (65% to start)
    • Hart .880 on other shots
    • Together 1 of last 3
  • VGKL1vs SEA0.26 xG

    William Karlsson24%, Mitch Marner99%, Brett Howden15%

    8.8 min/game · 2.08 xGF/60 · P(intact) 82%

    • SEA 5v5 xGA/60 +3%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  • VGKL4vs SEA0.14 xG

    Nic Dowd3.2%, Marc Gatcomb4.9%, Braeden Bowman16%

    5.5 min/game · 1.83 xGF/60 · P(intact) 82%

    • SEA 5v5 xGA/60 +3%
    • vs Joey Daccord .899 (84% to start)
    • Daccord .862 on rebounds
    • Together 2 of last 3
  • SEAL3vs VGK0.11 xG

    Kaapo Kakko17%, Jani Nyman14%, Shane Wright27%

    8.6 min/game · 3.71 xGF/60 · P(intact) 23%

    • VGK 5v5 xGA/60 −13%
    • vs Carter Hart .889 (65% to start)
    • Hart .880 on other shots
    • Together 2 of last 3
  • SEAL2vs VGK0.07 xG

    Jordan Eberle30%, Bobby McMann45%, Matty Beniers49%

    9.4 min/game · 2.08 xGF/60 · P(intact) 23%

    • VGK 5v5 xGA/60 −13%
    • vs Carter Hart .889 (65% to start)
    • Hart .880 on other shots
    • Together 2 of last 3
  • SEAL1vs VGK0.07 xG

    Frederick Gaudreau0.1%, Ryan Winterton4.0%, Ben Meyers0.0%

    9.7 min/game · 1.86 xGF/60 · P(intact) 23%

    • VGK 5v5 xGA/60 −13%
    • vs Carter Hart .889 (65% to start)
    • Hart .880 on other shots
    • Together 2 of last 3

FLA @ LAK

  • FLAL2vs LAK0.40 xG

    Eetu Luostarinen11%, Anton Lundell45%, Sandis Vilmanis6.4%

    7.1 min/game · 4.23 xGF/60 · P(intact) 82%

    • LAK 5v5 xGA/60 −8%
    • vs Darcy Kuemper .888 (91% to start)
    • Kuemper .864 on rebounds
    • Together 2 of last 3
  • FLAL1vs LAK0.40 xG

    Carter Verhaeghe73%, Sam Bennett83%, Matthew Tkachuk100%

    9.7 min/game · 3.10 xGF/60 · P(intact) 82%

    • LAK 5v5 xGA/60 −8%
    • vs Darcy Kuemper .888 (91% to start)
    • Kuemper .864 on rebounds
    • Together 2 of last 3
  • FLAPP1vs LAK0.25 xG

    Aleksander Barkov97%, Seth Jones80%, Sam Reinhart99%, Matthew Tkachuk100%, Brady Tkachuk100%

    2.6 min/game · 7.16 xGF/60 · P(intact) 82%

    • LAK shorthanded time −12%
    • LAK PK xGA/60 −9%
    • vs Darcy Kuemper .888 (91% to start)
    • Kuemper .864 on rebounds
    • Together 2 of last 3
  • LAKL4vs FLA0.22 xG

    Joel Armia3.3%, Andre Lee0.1%, Samuel Helenius3.2%

    6.3 min/game · 2.92 xGF/60 · P(intact) 68%

    • FLA 5v5 xGA/60 −3%
    • vs Jacob Markstrom .885 (55% to start)
    • Markstrom .811 on rebounds
    • Together 1 of last 3
  • FLAL3vs LAK0.13 xG

    Aleksander Barkov97%, Sam Reinhart99%, Brady Tkachuk100%

    5.8 min/game · 1.64 xGF/60 · P(intact) 82%

    • LAK 5v5 xGA/60 −8%
    • vs Darcy Kuemper .888 (91% to start)
    • Kuemper .864 on rebounds
    • Together 2 of last 3
  • LAKL1vs FLA0.12 xG

    Trevor Moore9.1%, Quinton Byfield86%, Alex Laferriere68%

    9.7 min/game · 3.15 xGF/60 · P(intact) 23%

    • FLA 5v5 xGA/60 −3%
    • vs Jacob Markstrom .885 (55% to start)
    • Markstrom .811 on rebounds
    • Together 2 of last 3
  • LAKL2vs FLA0.09 xG

    Anze Kopitar0.5%, Adrian Kempe98%, Artemi Panarin98%

    7.7 min/game · 2.94 xGF/60 · P(intact) 23%

    • FLA 5v5 xGA/60 −3%
    • vs Jacob Markstrom .885 (55% to start)
    • Markstrom .811 on rebounds
    • Together 2 of last 3
  • LAKPP1vs FLA0.08 xG

    Anze Kopitar0.5%, Adrian Kempe98%, Artemi Panarin98%, Alex Laferriere68%, Brandt Clarke96%

    2.9 min/game · 7.49 xGF/60 · P(intact) 23%

    • FLA shorthanded time +22%
    • FLA PK xGA/60 −15%
    • vs Jacob Markstrom .885 (55% to start)
    • Markstrom .811 on rebounds
    • Together 2 of last 3
  • LAKL3vs FLA0.04 xG

    Scott Laughton5.6%, Alex Turcotte8.8%, Jared Wright0.0%

    9.9 min/game · 2.07 xGF/60 · P(intact) 12%

    • FLA 5v5 xGA/60 −3%
    • vs Jacob Markstrom .885 (55% to start)
    • Markstrom .811 on rebounds
    • Together 1 of last 3

How it works

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.