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NHL Stack Finder: Thursday, Nov 5
Data updated:
Top 10 stacks
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
Matchup factors →Mark Scheifele99%, Kyle Connor99%, Cole Perfetti49%
Matchup factors →Vincent Trocheck89%, Nick Schmaltz95%, Clayton Keller100%
Matchup factors →Robert Thomas92%, Dylan Holloway95%, Jimmy Snuggerud80%
Matchup factors →Evgeni Malkin84%, Tommy Novak21%, Egor Chinakhov49%
Matchup factors →Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
Matchup factors →Artturi Lehkonen68%, Nathan MacKinnon100%, Martin Necas100%
Matchup factors →Pavel Zacha77%, Morgan Geekie96%, Casey Mittelstadt14%
Matchup factors →Jesper Bratt96%, Nico Hischier98%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes85%
Matchup factors →Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer24%
Matchup factors →
By game
UTA @ MTL
Vincent Trocheck89%, Nick Schmaltz95%, Clayton Keller100%
10.9 min/game · 3.40 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +4%
- vs Jakub Dobes .900 (76% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
- DK correlation .29
Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
9.6 min/game · 3.52 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +4%
- vs Jakub Dobes .900 (76% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
- DK correlation .28
Lawson Crouse36%, Barrett Hayton10%, Jack McBain17%
8.7 min/game · 3.23 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +4%
- vs Jakub Dobes .900 (76% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
- DK correlation .28
Nick Suzuki100%, Cole Caufield100%, Lane Hutson100%, Juraj Slafkovský99%, Ivan Demidov91%
3.0 min/game · 8.68 xGF/60 · P(intact) 95%
- UTA shorthanded time −1%
- UTA PK xGA/60 +0%
- vs Karel Vejmelka .897 (92% to start)
- Vejmelka .735 on rebounds
- Together 3 of last 3
- DK correlation .20
Nick Schmaltz95%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%
2.2 min/game · 9.64 xGF/60 · P(intact) 95%
- MTL shorthanded time +6%
- MTL PK xGA/60 +8%
- vs Jakub Dobes .900 (76% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
- DK correlation .21
Kevin Stenlund0.1%, Michael Carcone6.6%, Daniil But21%
7.9 min/game · 2.67 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +4%
- vs Jakub Dobes .900 (76% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
- DK correlation .28
Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%
10.4 min/game · 2.44 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .897 (92% to start)
- Vejmelka .735 on rebounds
- Together 2 of last 3
- DK correlation .28
Josh Anderson11%, Jake Evans5.7%, Zachary Bolduc21%
7.2 min/game · 3.06 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .897 (92% to start)
- Vejmelka .735 on rebounds
- Together 2 of last 3
- DK correlation .28
Alex Newhook26%, Juraj Slafkovský99%, Ivan Demidov91%
8.9 min/game · 1.51 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .897 (92% to start)
- Vejmelka .735 on rebounds
- Together 2 of last 3
- DK correlation .27
Phillip Danault4.9%, Alexandre Texier4.9%, Kirby Dach11%
7.8 min/game · 1.28 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .897 (92% to start)
- Vejmelka .735 on rebounds
- Together 2 of last 3
VGK @ DET
Tomas Hertl84%, Victor Olofsson15%, Trevor Connelly34%
7.3 min/game · 4.39 xGF/60 · P(intact) 95%
- DET 5v5 xGA/60 +6%
- vs John Gibson .902 (89% to start)
- Gibson .865 on rebounds
- Together 3 of last 3
Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
9.5 min/game · 3.36 xGF/60 · P(intact) 95%
- DET 5v5 xGA/60 +6%
- vs John Gibson .902 (89% to start)
- Gibson .865 on rebounds
- Together 3 of last 3
- DK correlation .28
Mark Stone93%, Tomas Hertl84%, Shea Theodore92%, Jack Eichel99%, Mitch Marner99%
3.1 min/game · 7.83 xGF/60 · P(intact) 95%
- DET shorthanded time −14%
- DET PK xGA/60 +11%
- vs John Gibson .902 (89% to start)
- Gibson .865 on rebounds
- Together 3 of last 3
- DK correlation .18
William Karlsson24%, Mitch Marner99%, Brett Howden16%
9.6 min/game · 2.48 xGF/60 · P(intact) 95%
- DET 5v5 xGA/60 +6%
- vs John Gibson .902 (89% to start)
- Gibson .865 on rebounds
- Together 3 of last 3
- DK correlation .27
Andrew Copp10.0%, Viktor Arvidsson32%, Alex DeBrincat100%, Moritz Seider100%, Lucas Raymond95%
4.1 min/game · 7.01 xGF/60 · P(intact) 82%
- VGK shorthanded time +6%
- VGK PK xGA/60 −14%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .19
Andrew Copp10.0%, Alex DeBrincat100%, Lucas Raymond95%
7.9 min/game · 2.20 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −13%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 3 of last 3
- DK correlation .28
Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%
5.7 min/game · 2.16 xGF/60 · P(intact) 95%
- DET 5v5 xGA/60 +6%
- vs John Gibson .902 (89% to start)
- Gibson .865 on rebounds
- Together 3 of last 3
Mason Appleton0.1%, Nate Danielson18%, Michael Brandsegg-Nygård22%
3.8 min/game · 2.40 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −13%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .29
Keegan Kolesar5.1%, Michael Rasmussen0.1%, Marco Kasper28%
7.2 min/game · 2.95 xGF/60 · P(intact) 12%
- VGK 5v5 xGA/60 −13%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 1 of last 3
J.T. Compher4.0%, Viktor Arvidsson32%, Emmitt Finnie28%
9.7 min/game · 1.67 xGF/60 · P(intact) 12%
- VGK 5v5 xGA/60 −13%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 1 of last 3
- DK correlation .27
CHI @ TBL
John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel100%
5.4 min/game · 6.73 xGF/60 · P(intact) 82%
- CHI shorthanded time +1%
- CHI PK xGA/60 −3%
- vs Spencer Knight .901 (50% to start)
- Knight .866 on rebounds
- Together 2 of last 3
- DK correlation .28
Nikita Kucherov100%, Brayden Point95%, Gage Goncalves11%
10.0 min/game · 3.55 xGF/60 · P(intact) 68%
- CHI 5v5 xGA/60 +15%
- vs Spencer Knight .901 (50% to start)
- Knight .866 on rebounds
- Together 1 of last 3
- DK correlation .29
Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel100%
7.9 min/game · 3.45 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +15%
- vs Spencer Knight .901 (50% to start)
- Knight .866 on rebounds
- Together 2 of last 3
- DK correlation .27
Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene10%
11.1 min/game · 2.20 xGF/60 · P(intact) 95%
- TBL 5v5 xGA/60 −7%
- vs Andrei Vasilevskiy .912 (79% to start)
- Vasilevskiy .866 on rebounds
- Together 3 of last 3
Patrick Kane78%, Frank Nazar54%, Roman Kantserov57%
9.1 min/game · 2.46 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −7%
- vs Andrei Vasilevskiy .912 (79% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
Teuvo Teravainen13%, Tyler Bertuzzi61%, Anton Frondell71%
7.4 min/game · 1.66 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −7%
- vs Andrei Vasilevskiy .912 (79% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .27
Ryan Donato9.9%, Nick Lardis23%, Oliver Moore22%
5.0 min/game · 1.65 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −7%
- vs Andrei Vasilevskiy .912 (79% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .28
Jeffrey Viel4.0%, Pontus Holmberg0.1%, Conor Geekie20%
1.7 min/game · 3.30 xGF/60 · P(intact) 68%
- CHI 5v5 xGA/60 +15%
- vs Spencer Knight .901 (50% to start)
- Knight .866 on rebounds
- Together 1 of last 3
Patrick Kane78%, Tyler Bertuzzi61%, Bowen Byram96%, Roman Kantserov57%, Anton Frondell71%
3.0 min/game · 4.90 xGF/60 · P(intact) 23%
- TBL shorthanded time +20%
- TBL PK xGA/60 −6%
- vs Andrei Vasilevskiy .912 (79% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .27
STL @ NJD
Robert Thomas92%, Dylan Holloway95%, Jimmy Snuggerud80%
10.1 min/game · 3.68 xGF/60 · P(intact) 95%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (59% to start)
- Allen .848 on rebounds
- Together 3 of last 3
- DK correlation .28
Jesper Bratt96%, Nico Hischier98%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes85%
4.9 min/game · 6.75 xGF/60 · P(intact) 95%
- STL shorthanded time −2%
- STL PK xGA/60 +1%
- vs Joel Hofer .911 (56% to start)
- Hofer .804 on rebounds
- Together 2 of last 2
- DK correlation .18
Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer24%
9.5 min/game · 3.54 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −3%
- vs Joel Hofer .911 (56% to start)
- Hofer .804 on rebounds
- Together 2 of last 2
- DK correlation .27
Anthony Mantha51%, Jesper Bratt96%, Jack Hughes100%
9.8 min/game · 3.38 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −3%
- vs Joel Hofer .911 (56% to start)
- Hofer .804 on rebounds
- Together 2 of last 2
- DK correlation .29
Timo Meier82%, Nico Hischier98%, Luke Evangelista70%
8.7 min/game · 3.01 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −3%
- vs Joel Hofer .911 (56% to start)
- Hofer .804 on rebounds
- Together 2 of last 2
- DK correlation .28
Jonatan Berggren4.0%, Jake Neighbours30%, Dalibor Dvorsky28%
7.8 min/game · 2.06 xGF/60 · P(intact) 95%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (59% to start)
- Allen .848 on rebounds
- Together 3 of last 3
- DK correlation .28
Stefan Noesen0.1%, Cody Glass4.1%, Amadeus Lombardi4.8%
4.8 min/game · 2.21 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −3%
- vs Joel Hofer .911 (56% to start)
- Hofer .804 on rebounds
- Together 2 of last 2
Cam Fowler14%, Robert Thomas92%, Dylan Holloway95%, Mason McTavish51%, Jimmy Snuggerud80%
3.1 min/game · 4.18 xGF/60 · P(intact) 82%
- NJD shorthanded time −9%
- NJD PK xGA/60 −6%
- vs Jake Allen .904 (59% to start)
- Allen .848 on rebounds
- Together 2 of last 3
- DK correlation .18
Pavel Buchnevich35%, Connor McMichael34%, Mason McTavish51%
6.3 min/game · 1.81 xGF/60 · P(intact) 82%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (59% to start)
- Allen .848 on rebounds
- Together 2 of last 3
Nathan Walker0.1%, Alexey Toropchenko0.1%, Jack Finley3.2%
13.0 min/game · 1.64 xGF/60 · P(intact) 12%
- NJD 5v5 xGA/60 +2%
- vs Jake Allen .904 (59% to start)
- Allen .848 on rebounds
- Together 1 of last 3
- DK correlation .27
CAR @ NYI
Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%
7.8 min/game · 3.81 xGF/60 · P(intact) 95%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .908 (99% to start)
- Sorokin .883 on rebounds
- Together 3 of last 3
- DK correlation .29
Brayden Schenn28%, Calum Ritchie31%, Victor Eklund37%
8.4 min/game · 4.30 xGF/60 · P(intact) 75%
- CAR 5v5 xGA/60 −5%
- vs Brandon Bussi .894 (78% to start)
- Bussi .843 on rebounds
- Together 1 of last 2
- DK correlation .28
Kyle Palmieri18%, Brayden Schenn28%, Bo Horvat90%, Matias Maccelli14%, Matthew Schaefer100%
4.3 min/game · 7.00 xGF/60 · P(intact) 95%
- CAR shorthanded time +8%
- CAR PK xGA/60 −10%
- vs Brandon Bussi .894 (78% to start)
- Bussi .843 on rebounds
- Together 2 of last 2
- DK correlation .14
Shayne Gostisbehere95%, Nikolaj Ehlers93%, Sebastian Aho100%, Andrei Svechnikov97%, Jackson Blake69%
2.5 min/game · 8.74 xGF/60 · P(intact) 95%
- NYI shorthanded time −13%
- NYI PK xGA/60 +13%
- vs Ilya Sorokin .908 (99% to start)
- Sorokin .883 on rebounds
- Together 3 of last 3
- DK correlation .20
Jordan Staal20%, Jordan Martinook4.3%, Nikolaj Ehlers93%
6.9 min/game · 2.58 xGF/60 · P(intact) 95%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .908 (99% to start)
- Sorokin .883 on rebounds
- Together 3 of last 3
- DK correlation .27
Casey Cizikas0.2%, Ondrej Palat0.1%, Matias Maccelli14%
6.9 min/game · 2.74 xGF/60 · P(intact) 75%
- CAR 5v5 xGA/60 −5%
- vs Brandon Bussi .894 (78% to start)
- Bussi .843 on rebounds
- Together 1 of last 2
- DK correlation .27
Kyle Palmieri18%, Bo Horvat90%, Emil Heineman32%
5.8 min/game · 2.36 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −5%
- vs Brandon Bussi .894 (78% to start)
- Bussi .843 on rebounds
- Together 2 of last 2
- DK correlation .26
Jean-Gabriel Pageau12%, Anthony Duclair3.3%, Simon Holmstrom16%
9.1 min/game · 1.66 xGF/60 · P(intact) 75%
- CAR 5v5 xGA/60 −5%
- vs Brandon Bussi .894 (78% to start)
- Bussi .843 on rebounds
- Together 1 of last 2
- DK correlation .29
Sebastian Aho100%, Eric Robinson3.2%, Andrei Svechnikov97%
5.6 min/game · 2.74 xGF/60 · P(intact) 23%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .908 (99% to start)
- Sorokin .883 on rebounds
- Together 2 of last 3
- DK correlation .28
Nicolas Deslauriers0.2%, Mark Jankowski0.2%, William Carrier0.2%
4.0 min/game · 2.16 xGF/60 · P(intact) 23%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .908 (99% to start)
- Sorokin .883 on rebounds
- Together 2 of last 3
- DK correlation .29
PHI @ NYR
Mika Zibanejad98%, Alexis Lafrenière81%, Gabe Perreault54%
11.0 min/game · 2.82 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (51% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- DK correlation .28
Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster41%, Matvei Michkov86%
4.5 min/game · 7.25 xGF/60 · P(intact) 68%
- NYR shorthanded time +2%
- NYR PK xGA/60 +8%
- vs Igor Shesterkin .913 (77% to start)
- Shesterkin .845 on rebounds
- Together 1 of last 3
- DK correlation .19
Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev93%, Alexis Lafrenière81%
3.1 min/game · 6.75 xGF/60 · P(intact) 95%
- PHI shorthanded time +6%
- PHI PK xGA/60 +0%
- vs Joseph Woll .901 (51% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- DK correlation .18
Eeli Tolvanen38%, Will Cuylle64%, Noah Laba11%
7.6 min/game · 2.27 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (51% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- DK correlation .29
J.T. Miller92%, Oliver Bjorkstrand19%, Pavel Dorofeyev93%
7.8 min/game · 3.23 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (51% to start)
- Woll .883 on rebounds
- Together 2 of last 3
Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%
6.3 min/game · 1.91 xGF/60 · P(intact) 23%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .913 (77% to start)
- Shesterkin .845 on rebounds
- Together 2 of last 3
- DK correlation .29
Noah Cates18%, Tyson Foerster41%, Matvei Michkov86%
7.9 min/game · 2.82 xGF/60 · P(intact) 12%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .913 (77% to start)
- Shesterkin .845 on rebounds
- Together 1 of last 3
- DK correlation .28
Joseph Veleno4.9%, Tye Kartye7.2%, Jaroslav Chmelar0.1%
5.3 min/game · 1.87 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (51% to start)
- Woll .883 on rebounds
- Together 2 of last 3
Christian Dvorak16%, Travis Konecny92%, Porter Martone89%
6.6 min/game · 2.50 xGF/60 · P(intact) 12%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .913 (77% to start)
- Shesterkin .845 on rebounds
- Together 1 of last 3
- DK correlation .27
Owen Tippett78%, Trevor Zegras86%, Alex Bump15%
4.7 min/game · 1.83 xGF/60 · P(intact) 12%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .913 (77% to start)
- Shesterkin .845 on rebounds
- Together 1 of last 3
- DK correlation .28
BOS @ PIT
Evgeni Malkin84%, Tommy Novak21%, Egor Chinakhov49%
10.6 min/game · 3.63 xGF/60 · P(intact) 95%
- BOS 5v5 xGA/60 +0%
- vs Jeremy Swayman .909 (97% to start)
- Swayman .848 on rebounds
- Together 3 of last 3
- DK correlation .27
Pavel Zacha77%, Morgan Geekie96%, Casey Mittelstadt14%
10.9 min/game · 2.85 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (93% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- DK correlation .27
Sidney Crosby100%, Rickard Rakell82%, Nick Robertson31%
10.6 min/game · 3.55 xGF/60 · P(intact) 82%
- BOS 5v5 xGA/60 +0%
- vs Jeremy Swayman .909 (97% to start)
- Swayman .848 on rebounds
- Together 2 of last 3
- DK correlation .27
Elias Lindholm44%, David Pastrnak100%, JJ Peterka78%
11.0 min/game · 2.40 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (93% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- DK correlation .29
Marat Khusnutdinov11%, Fraser Minten47%, James Hagens50%
9.2 min/game · 1.82 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (93% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- DK correlation .27
Sean Kuraly0.2%, Tanner Jeannot6.5%, Mark Kastelic15%
7.8 min/game · 2.00 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (93% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- DK correlation .29
Elias Lindholm44%, David Pastrnak100%, Pavel Zacha77%, Morgan Geekie96%, Mason Lohrei23%
2.4 min/game · 7.01 xGF/60 · P(intact) 68%
- PIT shorthanded time +2%
- PIT PK xGA/60 −8%
- vs Arturs Silovs .888 (93% to start)
- Silovs .767 on rebounds
- Together 1 of last 3
- DK correlation .19
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell82%, Tommy Novak21%, Egor Chinakhov49%
4.1 min/game · 9.42 xGF/60 · P(intact) 12%
- BOS shorthanded time +13%
- BOS PK xGA/60 +3%
- vs Jeremy Swayman .909 (97% to start)
- Swayman .848 on rebounds
- Together 1 of last 3
- DK correlation .20
DAL @ CBJ
Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
3.1 min/game · 10.89 xGF/60 · P(intact) 82%
- CBJ shorthanded time +1%
- CBJ PK xGA/60 +16%
- vs Jet Greaves .907 (82% to start)
- Greaves .900 on cycle shots
- Together 2 of last 3
- DK correlation .20
Kent Johnson31%, Matthew Knies95%, Adam Fantilli91%
11.4 min/game · 2.55 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −9%
- vs Jake Oettinger .900 (69% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
- DK correlation .28
Mikko Rantanen99%, Jason Robertson100%, Wyatt Johnston100%
5.4 min/game · 4.28 xGF/60 · P(intact) 95%
- CBJ 5v5 xGA/60 −3%
- vs Jet Greaves .907 (82% to start)
- Greaves .900 on cycle shots
- Together 3 of last 3
- DK correlation .29
Charlie Coyle49%, Mathieu Olivier18%, Cole Sillinger11%
10.2 min/game · 2.64 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −9%
- vs Jake Oettinger .900 (69% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
- DK correlation .28
Charlie Coyle49%, Zach Werenski100%, Kent Johnson31%, Matthew Knies95%, Adam Fantilli91%
2.5 min/game · 6.39 xGF/60 · P(intact) 82%
- DAL shorthanded time +9%
- DAL PK xGA/60 −10%
- vs Jake Oettinger .900 (69% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
- DK correlation .17
Jamie Benn21%, Sam Steel5.8%, Arttu Hyry4.0%
5.5 min/game · 2.54 xGF/60 · P(intact) 82%
- CBJ 5v5 xGA/60 −3%
- vs Jet Greaves .907 (82% to start)
- Greaves .900 on cycle shots
- Together 2 of last 3
- DK correlation .28
Danton Heinen0.0%, Conor Garland10%, Ryan Lomberg0.1%
4.7 min/game · 1.84 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −9%
- vs Jake Oettinger .900 (69% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
Sean Monahan19%, Valeri Nichushkin59%, Dmitri Voronkov19%
5.7 min/game · 1.26 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −9%
- vs Jake Oettinger .900 (69% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
- DK correlation .27
Colin Blackwell0.1%, Radek Faksa0.1%, Oskar Bäck0.1%
4.1 min/game · 1.48 xGF/60 · P(intact) 82%
- CBJ 5v5 xGA/60 −3%
- vs Jet Greaves .907 (82% to start)
- Greaves .900 on cycle shots
- Together 2 of last 3
- DK correlation .29
VAN @ WPG
Mark Scheifele99%, Kyle Connor99%, Cole Perfetti49%
11.3 min/game · 3.27 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +17%
- vs Kevin Lankinen .872 (59% to start)
- Lankinen .776 on rebounds
- Together 2 of last 3
- DK correlation .27
Mark Scheifele99%, Josh Morrissey98%, Kyle Connor99%, Gabriel Vilardi81%, Cole Perfetti49%
2.8 min/game · 8.98 xGF/60 · P(intact) 82%
- VAN shorthanded time −13%
- VAN PK xGA/60 +10%
- vs Kevin Lankinen .872 (59% to start)
- Lankinen .776 on rebounds
- Together 2 of last 3
- DK correlation .19
Adam Lowry7.5%, Morgan Barron4.8%, Brad Lambert15%
8.9 min/game · 1.51 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +17%
- vs Kevin Lankinen .872 (59% to start)
- Lankinen .776 on rebounds
- Together 2 of last 3
- DK correlation .28
Gabriel Vilardi81%, Isak Rosen14%, Viggo Björck44%
8.9 min/game · 1.49 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +17%
- vs Kevin Lankinen .872 (59% to start)
- Lankinen .776 on rebounds
- Together 2 of last 3
Brock Boeser66%, Paul Cotter39%, Liam Ohgren23%
7.7 min/game · 1.77 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +1%
- vs Stuart Skinner .889 (55% to start)
- Skinner .803 on rebounds
- Together 3 of last 3
- DK correlation .26
Elias Pettersson91%, Linus Karlsson11%, Marco Rossi67%
8.8 min/game · 1.63 xGF/60 · P(intact) 82%
- WPG 5v5 xGA/60 +1%
- vs Stuart Skinner .889 (55% to start)
- Skinner .803 on rebounds
- Together 2 of last 3
- DK correlation .27
Arshdeep Bains3.2%, Jonathan Lekkerimäki25%, Max Sasson4.9%
5.4 min/game · 2.09 xGF/60 · P(intact) 82%
- WPG 5v5 xGA/60 +1%
- vs Stuart Skinner .889 (55% to start)
- Skinner .803 on rebounds
- Together 2 of last 3
- DK correlation .26
Brendan Gallagher3.3%, Drew O'Connor6.7%, Aatu Räty10%
4.8 min/game · 2.22 xGF/60 · P(intact) 82%
- WPG 5v5 xGA/60 +1%
- vs Stuart Skinner .889 (55% to start)
- Skinner .803 on rebounds
- Together 2 of last 3
- DK correlation .28
Nino Niederreiter4.0%, Vladislav Namestnikov0.1%, Alex Iafallo4.3%
7.1 min/game · 1.04 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +17%
- vs Kevin Lankinen .872 (59% to start)
- Lankinen .776 on rebounds
- Together 2 of last 3
- DK correlation .28
Brock Boeser66%, Filip Hronek92%, Elias Pettersson91%, Drew O'Connor6.7%, Marco Rossi67%
4.7 min/game · 4.13 xGF/60 · P(intact) 12%
- WPG shorthanded time −8%
- WPG PK xGA/60 −2%
- vs Stuart Skinner .889 (55% to start)
- Skinner .803 on rebounds
- Together 1 of last 3
- DK correlation .20
ANA @ EDM
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (86% to start)
- Dostal .878 on cycle shots
- Together 2 of last 3
- DK correlation .28
A.J. Greer7.6%, Cutter Gauthier98%, Leo Carlsson94%
9.7 min/game · 3.08 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (48% to start)
- Jarry .833 on rebounds
- Together 2 of last 3
- DK correlation .27
Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
3.6 min/game · 8.43 xGF/60 · P(intact) 82%
- ANA shorthanded time +3%
- ANA PK xGA/60 −2%
- vs Lukas Dostal .889 (86% to start)
- Dostal .878 on cycle shots
- Together 2 of last 3
- DK correlation .21
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
8.7 min/game · 2.77 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (48% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
- DK correlation .28
Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%
5.3 min/game · 3.23 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (86% to start)
- Dostal .878 on cycle shots
- Together 2 of last 3
- DK correlation .27
Mathieu Joseph3.2%, Alex Formenton9.7%, Owen Michaels5.7%
10.1 min/game · 1.65 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (86% to start)
- Dostal .878 on cycle shots
- Together 2 of last 3
Mikael Granlund52%, Jackson LaCombe97%, Cutter Gauthier98%, Leo Carlsson94%, Beckett Sennecke94%
2.2 min/game · 5.93 xGF/60 · P(intact) 82%
- EDM shorthanded time −16%
- EDM PK xGA/60 +11%
- vs Tristan Jarry .878 (48% to start)
- Jarry .833 on rebounds
- Together 2 of last 3
- DK correlation .20
Judd Caulfield, Jeff Malott3.2%, Tim Washe4.8%
7.6 min/game · 1.42 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (48% to start)
- Jarry .833 on rebounds
- Together 2 of last 3
Kasperi Kapanen12%, Max Jones0.1%, Colton Dach11%
8.0 min/game · 1.34 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (86% to start)
- Dostal .878 on cycle shots
- Together 2 of last 3
Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.0%
7.8 min/game · 2.86 xGF/60 · P(intact) 12%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (48% to start)
- Jarry .833 on rebounds
- Together 1 of last 3
- DK correlation .28
NSH @ COL
Artturi Lehkonen68%, Nathan MacKinnon100%, Martin Necas100%
10.0 min/game · 3.67 xGF/60 · P(intact) 82%
- NSH 5v5 xGA/60 +8%
- vs Juuse Saros .895 (88% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .28
Gabriel Landeskog51%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%, T.J. Hughes26%
4.5 min/game · 4.61 xGF/60 · P(intact) 82%
- NSH shorthanded time +6%
- NSH PK xGA/60 −3%
- vs Juuse Saros .895 (88% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .19
Filip Forsberg99%, Nils Hoglander4.0%, Matthew Wood31%
5.9 min/game · 2.97 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .904 (67% to start)
- Blackwood .840 on transition shots
- Together 2 of last 3
- DK correlation .28
Steven Stamkos94%, Ryan O'Reilly84%, Alexander Kerfoot3.2%
6.3 min/game · 2.75 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .904 (67% to start)
- Blackwood .840 on transition shots
- Together 2 of last 3
- DK correlation .30
Steven Stamkos94%, Roman Josi98%, Ryan O'Reilly84%, Filip Forsberg99%, Matthew Wood31%
3.3 min/game · 5.17 xGF/60 · P(intact) 82%
- COL shorthanded time −1%
- COL PK xGA/60 −13%
- vs Mackenzie Blackwood .904 (67% to start)
- Blackwood .840 on transition shots
- Together 2 of last 3
- DK correlation .21
Nazem Kadri71%, Brock Nelson88%, Gabriel Landeskog51%
7.5 min/game · 1.44 xGF/60 · P(intact) 82%
- NSH 5v5 xGA/60 +8%
- vs Juuse Saros .895 (88% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .29
Jonathan Marchessault24%, Ross Colton8.1%, Mavrik Bourque34%
8.0 min/game · 1.48 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .904 (67% to start)
- Blackwood .840 on transition shots
- Together 2 of last 3
Jaden Schwartz11%, Fedor Svechkov8.0%, T.J. Hughes26%
3.7 min/game · 2.39 xGF/60 · P(intact) 82%
- NSH 5v5 xGA/60 +8%
- vs Juuse Saros .895 (88% to start)
- Saros .786 on rebounds
- Together 2 of last 3
Tyson Jost0.0%, Ozzy Wiesblatt4.0%, Reid Schaefer7.2%
7.5 min/game · 1.69 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .904 (67% to start)
- Blackwood .840 on transition shots
- 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.