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NHL Stack Finder: Tuesday, Nov 3

Every forward line and first power-play unit on the Tuesday, Nov 3 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM L1 (Draisaitl–McDavid–Podkolzin) vs NJD.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1EDML1vs NJD0.76 xG

    Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin70%

    13.2 min/game · 4.18 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +2%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  2. #2UTAPP1vs TOR0.69 xG

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

    3.5 min/game · 9.56 xGF/60 · P(intact) 95%

    • TOR shorthanded time +6%
    • TOR PK xGA/60 +14%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 3 of last 3
    • DK correlation .21
  3. #3ANAL1vs VAN0.66 xG

    Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%

    10.5 min/game · 2.89 xGF/60 · P(intact) 95%

    • VAN 5v5 xGA/60 +17%
    • vs Kevin Lankinen .872 (81% to start)
    • Lankinen .780 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  4. #4UTAL3vs TOR0.65 xG

    Anders Lee29%, Dylan Guenther99%, Logan Cooley94%

    9.0 min/game · 4.16 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  5. #5PITL1vs VGK0.58 xG

    Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%

    10.6 min/game · 3.63 xGF/60 · P(intact) 95%

    • VGK 5v5 xGA/60 −12%
    • vs Adin Hill .871 (40% to start)
    • Hill .862 on cycle shots
    • Together 3 of last 3
    • DK correlation .27
  6. #6ANAL2vs VAN0.55 xG

    A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%

    9.9 min/game · 3.57 xGF/60 · P(intact) 68%

    • VAN 5v5 xGA/60 +17%
    • vs Kevin Lankinen .872 (81% to start)
    • Lankinen .780 on rebounds
    • Together 1 of last 3
    • DK correlation .27
  7. #7UTAL1vs TOR0.54 xG

    Vincent Trocheck88%, Nick Schmaltz94%, Clayton Keller100%

    11.0 min/game · 2.86 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .29
  8. #8CARL1vs NSH0.53 xG

    Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%

    7.8 min/game · 3.81 xGF/60 · P(intact) 95%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 3 of last 3
    • DK correlation .29
  9. #9STLL1vs NYR0.53 xG

    Robert Thomas93%, Dylan Holloway95%, Jimmy Snuggerud80%

    10.1 min/game · 3.68 xGF/60 · P(intact) 95%

    • NYR 5v5 xGA/60 −3%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  10. #10NJDL2vs EDM0.52 xG

    Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%

    9.5 min/game · 3.54 xGF/60 · P(intact) 82%

    • EDM 5v5 xGA/60 +1%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
    • DK correlation .27

By game

UTA @ TOR

  • UTAPP1vs TOR0.69 xG

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

    3.5 min/game · 9.56 xGF/60 · P(intact) 95%

    • TOR shorthanded time +6%
    • TOR PK xGA/60 +14%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 3 of last 3
    • DK correlation .21
  • UTAL3vs TOR0.65 xG

    Anders Lee29%, Dylan Guenther99%, Logan Cooley94%

    9.0 min/game · 4.16 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • UTAL1vs TOR0.54 xG

    Vincent Trocheck88%, Nick Schmaltz94%, Clayton Keller100%

    11.0 min/game · 2.86 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .29
  • TORPP1vs UTA0.49 xG

    John Tavares96%, William Nylander99%, Darren Raddysh99%, Auston Matthews99%, Kirill Marchenko98%

    4.0 min/game · 7.84 xGF/60 · P(intact) 95%

    • UTA shorthanded time −2%
    • UTA PK xGA/60 −1%
    • vs Karel Vejmelka .898 (78% to start)
    • Vejmelka .740 on rebounds
    • Together 3 of last 3
    • DK correlation .29
  • UTAL4vs TOR0.44 xG

    Kevin Stenlund0.1%, Michael Carcone5.0%, Daniil But21%

    8.6 min/game · 2.97 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • UTAL2vs TOR0.43 xG

    Lawson Crouse36%, Barrett Hayton11%, Jack McBain17%

    9.1 min/game · 2.74 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +12%
    • vs Sergei Bobrovsky .877 (76% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • TORL1vs UTA0.42 xG

    Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%

    10.1 min/game · 2.75 xGF/60 · P(intact) 95%

    • UTA 5v5 xGA/60 −4%
    • vs Karel Vejmelka .898 (78% to start)
    • Vejmelka .740 on rebounds
    • Together 3 of last 3
  • TORL3vs UTA0.28 xG

    Colton Sissons3.3%, Nick Paul8.1%, Easton Cowan52%

    6.6 min/game · 2.74 xGF/60 · P(intact) 95%

    • UTA 5v5 xGA/60 −4%
    • vs Karel Vejmelka .898 (78% to start)
    • Vejmelka .740 on rebounds
    • Together 3 of last 3
  • TORL2vs UTA0.23 xG

    John Tavares96%, William Nylander99%, Gavin McKenna94%

    7.8 min/game · 1.90 xGF/60 · P(intact) 95%

    • UTA 5v5 xGA/60 −4%
    • vs Karel Vejmelka .898 (78% to start)
    • Vejmelka .740 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • TORL4vs UTA0.13 xG

    Teddy Blueger4.8%, Brandon Duhaime3.2%, Bo Groulx

    5.7 min/game · 1.70 xGF/60 · P(intact) 82%

    • UTA 5v5 xGA/60 −4%
    • vs Karel Vejmelka .898 (78% to start)
    • Vejmelka .740 on rebounds
    • Together 2 of last 3

WPG @ MTL

  • MTLPP1vs WPG0.38 xG

    Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský100%, Ivan Demidov91%

    2.7 min/game · 8.68 xGF/60 · P(intact) 95%

    • WPG shorthanded time −11%
    • WPG PK xGA/60 −3%
    • vs Stuart Skinner .887 (57% to start)
    • Skinner .807 on rebounds
    • Together 3 of last 3
    • DK correlation .20
  • MTLL1vs WPG0.37 xG

    Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%

    10.4 min/game · 2.44 xGF/60 · P(intact) 82%

    • WPG 5v5 xGA/60 +1%
    • vs Stuart Skinner .887 (57% to start)
    • Skinner .807 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • MTLL4vs WPG0.32 xG

    Josh Anderson10%, Jake Evans5.7%, Zachary Bolduc21%

    7.2 min/game · 3.06 xGF/60 · P(intact) 82%

    • WPG 5v5 xGA/60 +1%
    • vs Stuart Skinner .887 (57% to start)
    • Skinner .807 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • WPGL1vs MTL0.29 xG

    Mark Scheifele99%, Kyle Connor99%, Gabriel Vilardi80%

    5.6 min/game · 3.10 xGF/60 · P(intact) 95%

    • MTL 5v5 xGA/60 +5%
    • vs Jakub Dobes .900 (84% to start)
    • Dobes .868 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • MTLL2vs WPG0.20 xG

    Alex Newhook26%, Juraj Slafkovský100%, Ivan Demidov91%

    8.9 min/game · 1.51 xGF/60 · P(intact) 82%

    • WPG 5v5 xGA/60 +1%
    • vs Stuart Skinner .887 (57% to start)
    • Skinner .807 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • MTLL3vs WPG0.15 xG

    Phillip Danault4.9%, Alexandre Texier4.9%, Kirby Dach12%

    7.8 min/game · 1.28 xGF/60 · P(intact) 82%

    • WPG 5v5 xGA/60 +1%
    • vs Stuart Skinner .887 (57% to start)
    • Skinner .807 on rebounds
    • Together 2 of last 3
  • WPGPP1vs MTL0.13 xG

    Jonathan Toews0.3%, Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%

    3.8 min/game · 8.21 xGF/60 · P(intact) 23%

    • MTL shorthanded time +6%
    • MTL PK xGA/60 +7%
    • vs Jakub Dobes .900 (84% to start)
    • Dobes .868 on rebounds
    • Together 2 of last 3
    • DK correlation .19
  • WPGL2vs MTL0.11 xG

    Nino Niederreiter4.0%, Adam Lowry5.7%, Cole Perfetti37%

    8.1 min/game · 3.37 xGF/60 · P(intact) 23%

    • MTL 5v5 xGA/60 +5%
    • vs Jakub Dobes .900 (84% to start)
    • Dobes .868 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • WPGL3vs MTL0.05 xG

    Jonathan Toews0.3%, Isak Rosen14%, Brad Lambert15%

    9.7 min/game · 2.32 xGF/60 · P(intact) 12%

    • MTL 5v5 xGA/60 +5%
    • vs Jakub Dobes .900 (84% to start)
    • Dobes .868 on rebounds
    • Together 1 of last 3
    • DK correlation .27
  • WPGL4vs MTL0.05 xG

    Cole Koepke0.0%, Nikita Chibrikov9.6%, Brayden Yager19%

    7.3 min/game · 3.07 xGF/60 · P(intact) 12%

    • MTL 5v5 xGA/60 +5%
    • vs Jakub Dobes .900 (84% to start)
    • Dobes .868 on rebounds
    • Together 1 of last 3

DET @ TBL

  • TBLPP1vs DET0.46 xG

    John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel99%

    4.5 min/game · 6.73 xGF/60 · P(intact) 82%

    • DET shorthanded time −15%
    • DET PK xGA/60 +9%
    • vs Daniil Tarasov .895 (51% to start)
    • Tarasov .850 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • TBLL3vs DET0.43 xG

    Nikita Kucherov100%, Brayden Point95%, Gage Goncalves11%

    10.0 min/game · 3.55 xGF/60 · P(intact) 68%

    • DET 5v5 xGA/60 +6%
    • vs Daniil Tarasov .895 (51% to start)
    • Tarasov .850 on rebounds
    • Together 1 of last 3
    • DK correlation .29
  • TBLL1vs DET0.40 xG

    Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel99%

    7.9 min/game · 3.44 xGF/60 · P(intact) 82%

    • DET 5v5 xGA/60 +6%
    • vs Daniil Tarasov .895 (51% to start)
    • Tarasov .850 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • DETL1vs TBL0.24 xG

    Andrew Copp9.2%, Alex DeBrincat100%, Lucas Raymond96%

    7.9 min/game · 2.28 xGF/60 · P(intact) 95%

    • TBL 5v5 xGA/60 −7%
    • vs Andrei Vasilevskiy .912 (96% to start)
    • Vasilevskiy .866 on rebounds
    • Together 2 of last 2
    • DK correlation .28
  • DETL3vs TBL0.23 xG

    Keegan Kolesar5.2%, Michael Rasmussen0.1%, Marco Kasper28%

    7.2 min/game · 2.95 xGF/60 · P(intact) 75%

    • TBL 5v5 xGA/60 −7%
    • vs Andrei Vasilevskiy .912 (96% to start)
    • Vasilevskiy .866 on rebounds
    • Together 1 of last 2
  • DETL2vs TBL0.17 xG

    J.T. Compher4.0%, Viktor Arvidsson33%, Emmitt Finnie28%

    9.7 min/game · 1.64 xGF/60 · P(intact) 75%

    • TBL 5v5 xGA/60 −7%
    • vs Andrei Vasilevskiy .912 (96% to start)
    • Vasilevskiy .866 on rebounds
    • Together 1 of last 2
    • DK correlation .27
  • DETPP1vs TBL0.13 xG

    Andrew Copp9.2%, Viktor Arvidsson33%, Alex DeBrincat100%, Moritz Seider100%, Lucas Raymond96%

    2.5 min/game · 5.07 xGF/60 · P(intact) 75%

    • TBL shorthanded time +20%
    • TBL PK xGA/60 −7%
    • vs Andrei Vasilevskiy .912 (96% to start)
    • Vasilevskiy .866 on rebounds
    • Together 1 of last 2
    • DK correlation .19
  • DETL4vs TBL0.11 xG

    Mason Appleton0.1%, Nate Danielson18%, Michael Brandsegg-Nygård21%

    5.0 min/game · 2.00 xGF/60 · P(intact) 75%

    • TBL 5v5 xGA/60 −7%
    • vs Andrei Vasilevskiy .912 (96% to start)
    • Vasilevskiy .866 on rebounds
    • Together 1 of last 2
    • DK correlation .29
  • TBLL4vs DET0.07 xG

    Jeffrey Viel4.0%, Pontus Holmberg0.1%, Conor Geekie20%

    1.7 min/game · 3.30 xGF/60 · P(intact) 68%

    • DET 5v5 xGA/60 +6%
    • vs Daniil Tarasov .895 (51% to start)
    • Tarasov .850 on rebounds
    • Together 1 of last 3

EDM @ NJD

  • EDML1vs NJD0.76 xG

    Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin70%

    13.2 min/game · 4.18 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +2%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • NJDL2vs EDM0.52 xG

    Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%

    9.5 min/game · 3.54 xGF/60 · P(intact) 82%

    • EDM 5v5 xGA/60 +1%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • NJDL1vs EDM0.51 xG

    Anthony Mantha52%, Jesper Bratt97%, Jack Hughes100%

    9.8 min/game · 3.38 xGF/60 · P(intact) 82%

    • EDM 5v5 xGA/60 +1%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
    • DK correlation .29
  • NJDPP1vs EDM0.48 xG

    Jesper Bratt97%, Nico Hischier97%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%

    4.2 min/game · 6.75 xGF/60 · P(intact) 82%

    • EDM shorthanded time −16%
    • EDM PK xGA/60 +10%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
    • DK correlation .18
  • NJDL3vs EDM0.41 xG

    Timo Meier82%, Nico Hischier97%, Luke Evangelista70%

    8.7 min/game · 3.01 xGF/60 · P(intact) 82%

    • EDM 5v5 xGA/60 +1%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • EDMPP1vs NJD0.34 xG

    Leon Draisaitl100%, Kasperi Kapanen9.2%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin70%

    3.2 min/game · 8.43 xGF/60 · P(intact) 82%

    • NJD shorthanded time −9%
    • NJD PK xGA/60 −7%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3
    • DK correlation .21
  • EDML4vs NJD0.24 xG

    Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%

    5.3 min/game · 3.23 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +2%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • EDML2vs NJD0.23 xG

    Mathieu Joseph0.1%, Alex Formenton9.6%, Owen Michaels3.2%

    10.1 min/game · 1.65 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +2%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3
  • NJDL4vs EDM0.17 xG

    Stefan Noesen0.1%, Cody Glass4.9%, Amadeus Lombardi4.8%

    4.8 min/game · 2.21 xGF/60 · P(intact) 82%

    • EDM 5v5 xGA/60 +1%
    • vs Tristan Jarry .878 (47% to start)
    • Jarry .833 on rebounds
    • Together 2 of last 3
  • EDML3vs NJD0.15 xG

    Kasperi Kapanen9.2%, Max Jones0.1%, Colton Dach11%

    8.0 min/game · 1.34 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +2%
    • vs Jake Allen .904 (75% to start)
    • Allen .848 on rebounds
    • Together 2 of last 3

STL @ NYR

  • STLL1vs NYR0.53 xG

    Robert Thomas93%, Dylan Holloway95%, Jimmy Snuggerud80%

    10.1 min/game · 3.68 xGF/60 · P(intact) 95%

    • NYR 5v5 xGA/60 −3%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • NYRL2vs STL0.50 xG

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

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

    • STL 5v5 xGA/60 −3%
    • vs Joel Hofer .911 (61% to start)
    • Hofer .804 on rebounds
    • Together 3 of last 3
  • NYRL1vs STL0.45 xG

    Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%

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

    • STL 5v5 xGA/60 −3%
    • vs Joel Hofer .911 (61% to start)
    • Hofer .804 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • NYRL3vs STL0.30 xG

    Eeli Tolvanen35%, Will Cuylle64%, Noah Laba11%

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

    • STL 5v5 xGA/60 −3%
    • vs Joel Hofer .911 (61% to start)
    • Hofer .804 on rebounds
    • Together 3 of last 3
    • DK correlation .29
  • NYRPP1vs STL0.23 xG

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

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

    • STL shorthanded time −2%
    • STL PK xGA/60 +0%
    • vs Joel Hofer .911 (61% to start)
    • Hofer .804 on rebounds
    • Together 3 of last 3
    • DK correlation .18
  • STLL2vs NYR0.23 xG

    Jonatan Berggren4.0%, Jake Neighbours30%, Dalibor Dvorsky28%

    7.8 min/game · 2.06 xGF/60 · P(intact) 95%

    • NYR 5v5 xGA/60 −3%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • STLPP1vs NYR0.20 xG

    Cam Fowler14%, Robert Thomas93%, Dylan Holloway95%, Mason McTavish51%, Jimmy Snuggerud80%

    3.5 min/game · 4.18 xGF/60 · P(intact) 82%

    • NYR shorthanded time +1%
    • NYR PK xGA/60 +7%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 2 of last 3
    • DK correlation .18
  • STLL4vs NYR0.14 xG

    Pavel Buchnevich36%, Connor McMichael34%, Mason McTavish51%

    6.3 min/game · 1.81 xGF/60 · P(intact) 82%

    • NYR 5v5 xGA/60 −3%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 2 of last 3
  • NYRL4vs STL0.13 xG

    Joseph Veleno4.1%, Tye Kartye7.2%, Jaroslav Chmelar3.2%

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

    • STL 5v5 xGA/60 −3%
    • vs Joel Hofer .911 (61% to start)
    • Hofer .804 on rebounds
    • Together 2 of last 3
  • STLL3vs NYR0.04 xG

    Nathan Walker0.1%, Alexey Toropchenko0.1%, Jack Finley3.2%

    13.0 min/game · 1.64 xGF/60 · P(intact) 12%

    • NYR 5v5 xGA/60 −3%
    • vs Igor Shesterkin .912 (73% to start)
    • Shesterkin .846 on rebounds
    • Together 1 of last 3
    • DK correlation .27

MIN @ PHI

  • MINPP1vs PHI0.51 xG

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

    4.3 min/game · 8.82 xGF/60 · P(intact) 82%

    • PHI shorthanded time +6%
    • PHI PK xGA/60 −1%
    • vs Joseph Woll .901 (51% to start)
    • Woll .883 on rebounds
    • Together 2 of last 3
    • DK correlation .18
  • PHIPP1vs MIN0.40 xG

    Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%, Matvei Michkov86%

    4.8 min/game · 7.25 xGF/60 · P(intact) 68%

    • MIN shorthanded time +7%
    • MIN PK xGA/60 +6%
    • vs Jesper Wallstedt .918 (43% to start)
    • Wallstedt .839 on rebounds
    • Together 1 of last 3
    • DK correlation .19
  • MINL1vs PHI0.24 xG

    Nick Foligno4.1%, Marcus Foligno4.2%, Michael McCarron7.3%

    8.6 min/game · 2.25 xGF/60 · P(intact) 82%

    • PHI 5v5 xGA/60 −8%
    • vs Joseph Woll .901 (51% to start)
    • Woll .883 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • MINL3vs PHI0.24 xG

    Blake Coleman38%, Joel Eriksson Ek82%, Matt Boldy100%

    7.7 min/game · 2.48 xGF/60 · P(intact) 82%

    • PHI 5v5 xGA/60 −8%
    • vs Joseph Woll .901 (51% to start)
    • Woll .883 on rebounds
    • Together 2 of last 3
    • DK correlation .26
  • MINL2vs PHI0.17 xG

    Ryan Hartman40%, Yakov Trenin22%, Bobby Brink14%

    8.0 min/game · 1.68 xGF/60 · P(intact) 82%

    • PHI 5v5 xGA/60 −8%
    • vs Joseph Woll .901 (51% to start)
    • Woll .883 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • MINL4vs PHI0.15 xG

    Kirill Kaprizov98%, Danila Yurov32%, Maxim Shabanov26%

    7.0 min/game · 1.73 xGF/60 · P(intact) 82%

    • PHI 5v5 xGA/60 −8%
    • vs Joseph Woll .901 (51% to start)
    • Woll .883 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • PHIL1vs MIN0.04 xG

    Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%

    6.3 min/game · 1.91 xGF/60 · P(intact) 23%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .918 (43% to start)
    • Wallstedt .839 on rebounds
    • Together 2 of last 3
    • DK correlation .29
  • PHIL2vs MIN0.04 xG

    Noah Cates18%, Tyson Foerster42%, Matvei Michkov86%

    7.9 min/game · 2.82 xGF/60 · P(intact) 12%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .918 (43% to start)
    • Wallstedt .839 on rebounds
    • Together 1 of last 3
    • DK correlation .28
  • PHIL3vs MIN0.03 xG

    Christian Dvorak16%, Travis Konecny92%, Porter Martone90%

    6.6 min/game · 2.50 xGF/60 · P(intact) 12%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .918 (43% to start)
    • Wallstedt .839 on rebounds
    • Together 1 of last 3
    • DK correlation .27
  • PHIL4vs MIN0.02 xG

    Owen Tippett78%, Trevor Zegras86%, Alex Bump15%

    4.7 min/game · 1.83 xGF/60 · P(intact) 12%

    • MIN 5v5 xGA/60 −1%
    • vs Jesper Wallstedt .918 (43% to start)
    • Wallstedt .839 on rebounds
    • Together 1 of last 3
    • DK correlation .28

VGK @ PIT

  • PITL1vs VGK0.58 xG

    Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%

    10.6 min/game · 3.63 xGF/60 · P(intact) 95%

    • VGK 5v5 xGA/60 −12%
    • vs Adin Hill .871 (40% to start)
    • Hill .862 on cycle shots
    • Together 3 of last 3
    • DK correlation .27
  • PITL2vs VGK0.49 xG

    Sidney Crosby100%, Rickard Rakell83%, Nick Robertson28%

    10.6 min/game · 3.55 xGF/60 · P(intact) 82%

    • VGK 5v5 xGA/60 −12%
    • vs Adin Hill .871 (40% to start)
    • Hill .862 on cycle shots
    • Together 2 of last 3
    • DK correlation .27
  • VGKL2vs PIT0.46 xG

    Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%

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

    • PIT 5v5 xGA/60 +4%
    • vs Arturs Silovs .888 (97% to start)
    • Silovs .767 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • VGKL3vs PIT0.42 xG

    Tomas Hertl84%, Victor Olofsson14%, Trevor Connelly33%

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

    • PIT 5v5 xGA/60 +4%
    • vs Arturs Silovs .888 (97% to start)
    • Silovs .767 on rebounds
    • Together 2 of last 3
  • VGKPP1vs PIT0.35 xG

    Mark Stone93%, Tomas Hertl84%, Shea Theodore91%, Jack Eichel99%, Mitch Marner99%

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

    • PIT shorthanded time +2%
    • PIT PK xGA/60 −9%
    • vs Arturs Silovs .888 (97% to start)
    • Silovs .767 on rebounds
    • Together 2 of last 3
    • DK correlation .18
  • VGKL1vs PIT0.28 xG

    William Karlsson24%, Mitch Marner99%, Brett Howden16%

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

    • PIT 5v5 xGA/60 +4%
    • vs Arturs Silovs .888 (97% to start)
    • Silovs .767 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • VGKL4vs PIT0.15 xG

    Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%

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

    • PIT 5v5 xGA/60 +4%
    • vs Arturs Silovs .888 (97% to start)
    • Silovs .767 on rebounds
    • Together 2 of last 3
  • PITPP1vs VGK0.07 xG

    Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell83%, Tommy Novak11%, Egor Chinakhov48%

    3.8 min/game · 9.42 xGF/60 · P(intact) 12%

    • VGK shorthanded time +5%
    • VGK PK xGA/60 −14%
    • vs Adin Hill .871 (40% to start)
    • Hill .862 on cycle shots
    • Together 1 of last 3
    • DK correlation .20

DAL @ WSH

  • DALPP1vs WSH0.50 xG

    Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%

    3.2 min/game · 10.89 xGF/60 · P(intact) 82%

    • WSH shorthanded time +3%
    • WSH PK xGA/60 +10%
    • vs Logan Thompson .912 (78% to start)
    • Thompson .858 on rebounds
    • Together 2 of last 3
    • DK correlation .20
  • DALL1vs WSH0.36 xG

    Mikko Rantanen99%, Jason Robertson100%, Wyatt Johnston100%

    5.4 min/game · 4.28 xGF/60 · P(intact) 95%

    • WSH 5v5 xGA/60 +4%
    • vs Logan Thompson .912 (78% to start)
    • Thompson .858 on rebounds
    • Together 3 of last 3
    • DK correlation .29
  • WSHL2vs DAL0.34 xG

    Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%

    7.3 min/game · 3.74 xGF/60 · P(intact) 82%

    • DAL 5v5 xGA/60 −9%
    • vs Jake Oettinger .900 (80% to start)
    • Oettinger .848 on rebounds
    • Together 2 of last 3
  • WSHL4vs DAL0.28 xG

    Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%

    6.9 min/game · 3.31 xGF/60 · P(intact) 82%

    • DAL 5v5 xGA/60 −9%
    • vs Jake Oettinger .900 (80% to start)
    • Oettinger .848 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • WSHL3vs DAL0.24 xG

    Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%

    7.2 min/game · 2.73 xGF/60 · P(intact) 82%

    • DAL 5v5 xGA/60 −9%
    • vs Jake Oettinger .900 (80% to start)
    • Oettinger .848 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • WSHL1vs DAL0.21 xG

    Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%

    8.1 min/game · 2.11 xGF/60 · P(intact) 82%

    • DAL 5v5 xGA/60 −9%
    • vs Jake Oettinger .900 (80% to start)
    • Oettinger .848 on rebounds
    • Together 2 of last 3
    • DK correlation .27
  • DALL2vs WSH0.19 xG

    Jamie Benn22%, Sam Steel5.8%, Arttu Hyry4.0%

    5.5 min/game · 2.54 xGF/60 · P(intact) 82%

    • WSH 5v5 xGA/60 +4%
    • vs Logan Thompson .912 (78% to start)
    • Thompson .858 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • WSHPP1vs DAL0.17 xG

    Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%

    2.1 min/game · 6.73 xGF/60 · P(intact) 82%

    • DAL shorthanded time +9%
    • DAL PK xGA/60 −11%
    • vs Jake Oettinger .900 (80% to start)
    • Oettinger .848 on rebounds
    • Together 2 of last 3
    • DK correlation .17
  • DALL3vs WSH0.08 xG

    Colin Blackwell0.1%, Radek Faksa0.1%, Oskar Bäck0.1%

    4.1 min/game · 1.48 xGF/60 · P(intact) 82%

    • WSH 5v5 xGA/60 +4%
    • vs Logan Thompson .912 (78% to start)
    • Thompson .858 on rebounds
    • Together 2 of last 3
    • DK correlation .29

COL @ CBJ

  • COLL1vs CBJ0.47 xG

    Artturi Lehkonen57%, Nathan MacKinnon100%, Martin Necas100%

    10.0 min/game · 3.67 xGF/60 · P(intact) 82%

    • CBJ 5v5 xGA/60 −2%
    • vs Jet Greaves .907 (96% to start)
    • Greaves .900 on cycle shots
    • Together 2 of last 3
    • DK correlation .28
  • CBJL1vs COL0.34 xG

    Kent Johnson30%, Matthew Knies95%, Adam Fantilli92%

    11.4 min/game · 2.55 xGF/60 · P(intact) 82%

    • COL 5v5 xGA/60 −8%
    • vs Mackenzie Blackwood .904 (54% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 3
    • DK correlation .28
  • CBJL2vs COL0.31 xG

    Charlie Coyle49%, Mathieu Olivier18%, Cole Sillinger12%

    10.2 min/game · 2.64 xGF/60 · P(intact) 82%

    • COL 5v5 xGA/60 −8%
    • vs Mackenzie Blackwood .904 (54% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 3
    • DK correlation .28
  • COLPP1vs CBJ0.30 xG

    Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%, T.J. Hughes26%

    4.3 min/game · 4.61 xGF/60 · P(intact) 82%

    • CBJ shorthanded time +1%
    • CBJ PK xGA/60 +15%
    • vs Jet Greaves .907 (96% to start)
    • Greaves .900 on cycle shots
    • Together 2 of last 3
    • DK correlation .19
  • CBJPP1vs COL0.16 xG

    Charlie Coyle49%, Zach Werenski100%, Kent Johnson30%, Matthew Knies95%, Adam Fantilli92%

    2.3 min/game · 6.39 xGF/60 · P(intact) 82%

    • COL shorthanded time −1%
    • COL PK xGA/60 −13%
    • vs Mackenzie Blackwood .904 (54% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 3
    • DK correlation .17
  • COLL2vs CBJ0.14 xG

    Nazem Kadri71%, Brock Nelson88%, Gabriel Landeskog50%

    7.5 min/game · 1.44 xGF/60 · P(intact) 82%

    • CBJ 5v5 xGA/60 −2%
    • vs Jet Greaves .907 (96% to start)
    • Greaves .900 on cycle shots
    • Together 2 of last 3
    • DK correlation .29
  • COLL3vs CBJ0.11 xG

    Jaden Schwartz11%, Fedor Svechkov8.0%, T.J. Hughes26%

    3.7 min/game · 2.39 xGF/60 · P(intact) 82%

    • CBJ 5v5 xGA/60 −2%
    • vs Jet Greaves .907 (96% to start)
    • Greaves .900 on cycle shots
    • Together 2 of last 3
  • CBJL4vs COL0.10 xG

    Danton Heinen0.0%, Conor Garland10%, Ryan Lomberg0.1%

    4.7 min/game · 1.84 xGF/60 · P(intact) 82%

    • COL 5v5 xGA/60 −8%
    • vs Mackenzie Blackwood .904 (54% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 3
  • CBJL3vs COL0.08 xG

    Sean Monahan19%, Valeri Nichushkin60%, Dmitri Voronkov19%

    5.7 min/game · 1.26 xGF/60 · P(intact) 82%

    • COL 5v5 xGA/60 −8%
    • vs Mackenzie Blackwood .904 (54% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 3
    • DK correlation .27

CAR @ NSH

  • CARL1vs NSH0.53 xG

    Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%

    7.8 min/game · 3.81 xGF/60 · P(intact) 95%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 3 of last 3
    • DK correlation .29
  • CARPP1vs NSH0.42 xG

    Shayne Gostisbehere96%, Nikolaj Ehlers93%, Sebastian Aho99%, Andrei Svechnikov97%, Jackson Blake69%

    3.1 min/game · 8.74 xGF/60 · P(intact) 95%

    • NSH shorthanded time +5%
    • NSH PK xGA/60 −4%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 3 of last 3
    • DK correlation .20
  • CARL2vs NSH0.32 xG

    Jordan Staal20%, Jordan Martinook4.3%, Nikolaj Ehlers93%

    6.9 min/game · 2.58 xGF/60 · P(intact) 95%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 3 of last 3
    • DK correlation .27
  • NSHL3vs CAR0.24 xG

    Filip Forsberg99%, Nils Hoglander4.0%, Matthew Wood31%

    5.9 min/game · 2.97 xGF/60 · P(intact) 82%

    • CAR 5v5 xGA/60 −4%
    • vs Brandon Bussi .894 (73% to start)
    • Bussi .843 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • NSHL2vs CAR0.23 xG

    Steven Stamkos94%, Ryan O'Reilly84%, Alexander Kerfoot3.2%

    6.3 min/game · 2.75 xGF/60 · P(intact) 82%

    • CAR 5v5 xGA/60 −4%
    • vs Brandon Bussi .894 (73% to start)
    • Bussi .843 on rebounds
    • Together 2 of last 3
    • DK correlation .30
  • NSHPP1vs CAR0.23 xG

    Steven Stamkos94%, Roman Josi98%, Ryan O'Reilly84%, Filip Forsberg99%, Matthew Wood31%

    3.5 min/game · 5.17 xGF/60 · P(intact) 82%

    • CAR shorthanded time +7%
    • CAR PK xGA/60 −11%
    • vs Brandon Bussi .894 (73% to start)
    • Bussi .843 on rebounds
    • Together 2 of last 3
    • DK correlation .21
  • NSHL1vs CAR0.16 xG

    Jonathan Marchessault24%, Ross Colton8.1%, Mavrik Bourque34%

    8.0 min/game · 1.48 xGF/60 · P(intact) 82%

    • CAR 5v5 xGA/60 −4%
    • vs Brandon Bussi .894 (73% to start)
    • Bussi .843 on rebounds
    • Together 2 of last 3
  • CARL3vs NSH0.07 xG

    Sebastian Aho99%, Eric Robinson3.2%, Andrei Svechnikov97%

    5.6 min/game · 2.74 xGF/60 · P(intact) 23%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 2 of last 3
    • DK correlation .28
  • CARL4vs NSH0.04 xG

    Nicolas Deslauriers0.2%, Mark Jankowski0.2%, William Carrier0.1%

    4.0 min/game · 2.16 xGF/60 · P(intact) 23%

    • NSH 5v5 xGA/60 +8%
    • vs Juuse Saros .895 (96% to start)
    • Saros .786 on rebounds
    • Together 2 of last 3
    • DK correlation .29
  • NSHL4vs CAR0.03 xG

    Tyson Jost0.0%, Ozzy Wiesblatt4.0%, Reid Schaefer7.2%

    7.5 min/game · 1.69 xGF/60 · P(intact) 12%

    • CAR 5v5 xGA/60 −4%
    • vs Brandon Bussi .894 (73% to start)
    • Bussi .843 on rebounds
    • Together 1 of last 3
    • DK correlation .27

ANA @ VAN

  • ANAL1vs VAN0.66 xG

    Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%

    10.5 min/game · 2.89 xGF/60 · P(intact) 95%

    • VAN 5v5 xGA/60 +17%
    • vs Kevin Lankinen .872 (81% to start)
    • Lankinen .780 on rebounds
    • Together 3 of last 3
    • DK correlation .28
  • ANAL2vs VAN0.55 xG

    A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%

    9.9 min/game · 3.57 xGF/60 · P(intact) 68%

    • VAN 5v5 xGA/60 +17%
    • vs Kevin Lankinen .872 (81% to start)
    • Lankinen .780 on rebounds
    • Together 1 of last 3
    • DK correlation .27
  • ANAL4vs VAN0.35 xG

    Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.8%

    7.8 min/game · 2.86 xGF/60 · P(intact) 68%

    • VAN 5v5 xGA/60 +17%
    • vs Kevin Lankinen .872 (81% to start)
    • Lankinen .780 on rebounds
    • Together 1 of last 3
    • DK correlation .28
  • VANL1vs ANA0.28 xG

    Brock Boeser64%, Paul Cotter19%, Liam Ohgren17%

    8.5 min/game · 2.17 xGF/60 · P(intact) 82%

    • ANA 5v5 xGA/60 +1%
    • vs Lukas Dostal .889 (68% to start)
    • Dostal .875 on cycle shots
    • Together 2 of last 3
    • DK correlation .26
  • VANPP1vs ANA0.25 xG

    Brock Boeser64%, Filip Hronek91%, Elias Pettersson87%, Drew O'Connor5.9%, Marco Rossi60%

    5.2 min/game · 4.13 xGF/60 · P(intact) 68%

    • ANA shorthanded time +1%
    • ANA PK xGA/60 −3%
    • vs Lukas Dostal .889 (68% to start)
    • Dostal .875 on cycle shots
    • Together 1 of last 3
    • DK correlation .20
  • VANL2vs ANA0.06 xG

    Linus Karlsson11%, Drew O'Connor5.9%, Max Sasson4.9%

    7.0 min/game · 1.91 xGF/60 · P(intact) 23%

    • ANA 5v5 xGA/60 +1%
    • vs Lukas Dostal .889 (68% to start)
    • Dostal .875 on cycle shots
    • Together 2 of last 3
    • DK correlation .27
  • VANL3vs ANA0.03 xG

    Jake DeBrusk49%, Elias Pettersson87%, Jonathan Lekkerimäki25%

    6.5 min/game · 1.24 xGF/60 · P(intact) 23%

    • ANA 5v5 xGA/60 +1%
    • vs Lukas Dostal .889 (68% to start)
    • Dostal .875 on cycle shots
    • Together 2 of last 3
    • DK correlation .27

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.