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NHL Stack Finder: Sunday, Nov 15
Data updated:
Top 10 stacks
Tomas Hertl84%, Victor Olofsson15%, Trevor Connelly34%
Matchup factors →Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
Matchup factors →Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
Matchup factors →Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
Matchup factors →William Karlsson24%, Mitch Marner99%, Brett Howden16%
Matchup factors →Mark Stone93%, Tomas Hertl84%, Shea Theodore92%, Jack Eichel99%, Mitch Marner99%
Matchup factors →Carter Verhaeghe72%, Sam Bennett83%, Matthew Tkachuk100%
Matchup factors →A.J. Greer7.6%, Cutter Gauthier98%, Leo Carlsson94%
Matchup factors →Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
Matchup factors →Eetu Luostarinen15%, Anton Lundell47%, Sandis Vilmanis6.4%
Matchup factors →
By game
EDM @ PHI
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .28
Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
3.5 min/game · 8.43 xGF/60 · P(intact) 82%
- PHI shorthanded time +1%
- PHI PK xGA/60 +2%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- DK correlation .21
Christian Dvorak16%, Travis Konecny92%, Matvei Michkov86%
7.0 min/game · 3.51 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (36% to start)
- Together 2 of last 3
- DK correlation .27
Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster41%, Matvei Michkov86%
3.0 min/game · 6.88 xGF/60 · P(intact) 82%
- EDM shorthanded time −21%
- EDM PK xGA/60 +13%
- vs Devon Levi .810 (36% to start)
- Together 2 of last 3
- DK correlation .19
Owen Tippett78%, Trevor Zegras86%, Denver Barkey14%
7.6 min/game · 3.34 xGF/60 · P(intact) 68%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (36% to start)
- Together 1 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%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- 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%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%
7.5 min/game · 1.65 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (36% to start)
- Together 2 of last 3
- DK correlation .29
Noah Cates18%, Tyson Foerster41%, Porter Martone89%
6.4 min/game · 1.56 xGF/60 · P(intact) 82%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (36% to start)
- Together 2 of last 3
- DK correlation .29
Kasperi Kapanen12%, Max Jones0.1%, Colton Dach11%
8.0 min/game · 1.34 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −9%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
FLA @ DAL
Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
3.8 min/game · 10.86 xGF/60 · P(intact) 95%
- FLA shorthanded time +13%
- FLA PK xGA/60 −13%
- vs Akira Schmid .892 (51% to start)
- Schmid .839 on rebounds
- Together 3 of last 3
- DK correlation .20
Carter Verhaeghe72%, Sam Bennett83%, Matthew Tkachuk100%
10.4 min/game · 3.21 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −10%
- vs Casey DeSmith .907 (60% to start)
- DeSmith .800 on rebounds
- Together 3 of last 3
- DK correlation .28
Eetu Luostarinen15%, Anton Lundell47%, Sandis Vilmanis6.4%
8.2 min/game · 3.57 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −10%
- vs Casey DeSmith .907 (60% to start)
- DeSmith .800 on rebounds
- Together 3 of last 3
- DK correlation .27
Radek Faksa0.1%, Oskar Bäck0.1%, Joel Kiviranta0.1%
7.5 min/game · 2.70 xGF/60 · P(intact) 82%
- FLA 5v5 xGA/60 −4%
- vs Akira Schmid .892 (51% to start)
- Schmid .839 on rebounds
- Together 2 of last 3
- DK correlation .29
Jamie Benn21%, Roope Hintz84%, Jason Robertson100%
7.2 min/game · 2.65 xGF/60 · P(intact) 82%
- FLA 5v5 xGA/60 −4%
- vs Akira Schmid .892 (51% to start)
- Schmid .839 on rebounds
- Together 2 of last 3
- DK correlation .28
Seth Jones79%, Sam Reinhart99%, Sam Bennett83%, Matthew Tkachuk100%, Brady Tkachuk100%
2.4 min/game · 6.84 xGF/60 · P(intact) 95%
- DAL shorthanded time +3%
- DAL PK xGA/60 −9%
- vs Casey DeSmith .907 (60% to start)
- DeSmith .800 on rebounds
- Together 3 of last 3
- DK correlation .17
Lars Eller3.3%, Garnet Hathaway4.8%, Bokondji Imama0.2%
4.4 min/game · 1.68 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −10%
- vs Casey DeSmith .907 (60% to start)
- DeSmith .800 on rebounds
- Together 3 of last 3
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian19%
7.9 min/game · 3.00 xGF/60 · P(intact) 23%
- FLA 5v5 xGA/60 −4%
- vs Akira Schmid .892 (51% to start)
- Schmid .839 on rebounds
- Together 2 of last 3
- DK correlation .28
Aleksander Barkov95%, Sam Reinhart99%, Brady Tkachuk100%
5.8 min/game · 1.64 xGF/60 · P(intact) 23%
- DAL 5v5 xGA/60 −10%
- vs Casey DeSmith .907 (60% to start)
- DeSmith .800 on rebounds
- Together 2 of last 3
CGY @ ANA
A.J. Greer7.6%, Cutter Gauthier98%, Leo Carlsson94%
9.7 min/game · 3.08 xGF/60 · P(intact) 82%
- CGY 5v5 xGA/60 +7%
- vs Devin Cooley .908 (62% to start)
- Cooley .875 on rebounds
- Together 2 of last 3
- DK correlation .27
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
8.7 min/game · 2.77 xGF/60 · P(intact) 95%
- CGY 5v5 xGA/60 +7%
- vs Devin Cooley .908 (62% to start)
- Cooley .875 on rebounds
- Together 3 of last 3
- DK correlation .28
Mikael Granlund52%, Jackson LaCombe97%, Cutter Gauthier98%, Leo Carlsson94%, Beckett Sennecke94%
3.3 min/game · 5.93 xGF/60 · P(intact) 82%
- CGY shorthanded time +25%
- CGY PK xGA/60 +4%
- vs Devin Cooley .908 (62% to start)
- Cooley .875 on rebounds
- Together 2 of last 3
- DK correlation .20
Martin Pospisil6.4%, Adam Klapka9.8%, Maxim Tsyplakov13%
7.2 min/game · 1.87 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +0%
- vs Ville Husso .884 (78% to start)
- Husso .889 on cycle shots
- Together 3 of last 3
- DK correlation .27
Morgan Frost23%, Joel Farabee11%, Matt Coronato40%, Zayne Parekh68%, Matvei Gridin40%
1.8 min/game · 6.68 xGF/60 · P(intact) 95%
- ANA shorthanded time −4%
- ANA PK xGA/60 +0%
- vs Ville Husso .884 (78% to start)
- Husso .889 on cycle shots
- Together 3 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%
- CGY 5v5 xGA/60 +7%
- vs Devin Cooley .908 (62% to start)
- Cooley .875 on rebounds
- Together 2 of last 3
Morgan Frost23%, Matt Coronato40%, Matvei Gridin40%
10.5 min/game · 2.40 xGF/60 · P(intact) 23%
- ANA 5v5 xGA/60 +0%
- vs Ville Husso .884 (78% to start)
- Husso .889 on cycle shots
- Together 2 of last 3
- DK correlation .28
Mikael Backlund14%, Joel Farabee11%, Samuel Honzek14%
8.3 min/game · 2.66 xGF/60 · P(intact) 23%
- ANA 5v5 xGA/60 +0%
- vs Ville Husso .884 (78% to start)
- Husso .889 on cycle shots
- Together 2 of last 3
- DK correlation .27
Ryan Strome4.0%, Yegor Sharangovich7.8%, Connor Zary10%
10.9 min/game · 2.45 xGF/60 · P(intact) 12%
- ANA 5v5 xGA/60 +0%
- vs Ville Husso .884 (78% to start)
- Husso .889 on cycle shots
- Together 1 of last 3
- DK correlation .27
Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.0%
7.8 min/game · 2.86 xGF/60 · P(intact) 12%
- CGY 5v5 xGA/60 +7%
- vs Devin Cooley .908 (62% to start)
- Cooley .875 on rebounds
- Together 1 of last 3
- DK correlation .28
VAN @ VGK
Tomas Hertl84%, Victor Olofsson15%, Trevor Connelly34%
7.3 min/game · 4.39 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +16%
- vs Kevin Lankinen .872 (64% to start)
- Lankinen .776 on rebounds
- Together 3 of last 3
Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
9.5 min/game · 3.36 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +16%
- vs Kevin Lankinen .872 (64% to start)
- Lankinen .776 on rebounds
- Together 3 of last 3
- DK correlation .28
William Karlsson24%, Mitch Marner99%, Brett Howden16%
9.6 min/game · 2.48 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +16%
- vs Kevin Lankinen .872 (64% to start)
- Lankinen .776 on rebounds
- Together 3 of last 3
- DK correlation .27
Mark Stone93%, Tomas Hertl84%, Shea Theodore92%, Jack Eichel99%, Mitch Marner99%
2.9 min/game · 7.83 xGF/60 · P(intact) 95%
- VAN shorthanded time −18%
- VAN PK xGA/60 +12%
- vs Kevin Lankinen .872 (64% to start)
- Lankinen .776 on rebounds
- Together 3 of last 3
- DK correlation .18
Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%
5.7 min/game · 2.16 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +16%
- vs Kevin Lankinen .872 (64% to start)
- Lankinen .776 on rebounds
- Together 3 of last 3
Brock Boeser66%, Paul Cotter39%, Liam Ohgren23%
7.7 min/game · 1.77 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −14%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- 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%
- VGK 5v5 xGA/60 −14%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- 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%
- VGK 5v5 xGA/60 −14%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- 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%
- VGK 5v5 xGA/60 −14%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .28
Brock Boeser66%, Filip Hronek92%, Elias Pettersson91%, Drew O'Connor6.7%, Marco Rossi67%
5.1 min/game · 4.13 xGF/60 · P(intact) 12%
- VGK shorthanded time −1%
- VGK PK xGA/60 −13%
- vs Carter Hart .889 (44% to start)
- Hart .880 on other shots
- Together 1 of last 3
- DK correlation .20
NSH @ SJS
Steven Stamkos94%, Roman Josi98%, Ryan O'Reilly84%, Filip Forsberg99%, Matthew Wood31%
3.8 min/game · 5.17 xGF/60 · P(intact) 95%
- SJS shorthanded time +16%
- SJS PK xGA/60 +8%
- vs Alex Nedeljkovic .896 (39% to start)
- Nedeljkovic .825 on rebounds
- Together 2 of last 2
- DK correlation .21
Filip Forsberg99%, Nils Hoglander4.0%, Matthew Wood31%
5.9 min/game · 2.97 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Alex Nedeljkovic .896 (39% to start)
- Nedeljkovic .825 on rebounds
- Together 2 of last 2
- DK correlation .28
Steven Stamkos94%, Ryan O'Reilly84%, Alexander Kerfoot3.2%
6.3 min/game · 2.75 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Alex Nedeljkovic .896 (39% to start)
- Nedeljkovic .825 on rebounds
- Together 2 of last 2
- DK correlation .30
Tyler Toffoli38%, Igor Chernyshov53%, Michael Misa59%
7.3 min/game · 1.92 xGF/60 · P(intact) 95%
- NSH 5v5 xGA/60 +7%
- vs Juuse Saros .895 (74% to start)
- Saros .786 on rebounds
- Together 3 of last 3
- DK correlation .28
Jonathan Marchessault24%, Ross Colton8.1%, Mavrik Bourque34%
8.0 min/game · 1.48 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Alex Nedeljkovic .896 (39% to start)
- Nedeljkovic .825 on rebounds
- Together 2 of last 2
Barclay Goodrow0.1%, Kiefer Sherwood59%, Zack Ostapchuk3.2%
5.8 min/game · 1.77 xGF/60 · P(intact) 95%
- NSH 5v5 xGA/60 +7%
- vs Juuse Saros .895 (74% to start)
- Saros .786 on rebounds
- Together 3 of last 3
- DK correlation .27
Alexander Wennberg24%, Luca Cagnoni64%, Will Smith95%, Macklin Celebrini100%, Igor Chernyshov53%
3.0 min/game · 9.47 xGF/60 · P(intact) 23%
- NSH shorthanded time −1%
- NSH PK xGA/60 −2%
- vs Juuse Saros .895 (74% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .28
Mason Marchment47%, Will Smith95%, Macklin Celebrini100%
12.1 min/game · 2.08 xGF/60 · P(intact) 23%
- NSH 5v5 xGA/60 +7%
- vs Juuse Saros .895 (74% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .30
Alexander Wennberg24%, Collin Graf28%, Ivar Stenberg82%
10.5 min/game · 1.52 xGF/60 · P(intact) 23%
- NSH 5v5 xGA/60 +7%
- vs Juuse Saros .895 (74% to start)
- Saros .786 on rebounds
- Together 2 of last 3
- DK correlation .28
Jack Drury4.8%, Adam Edstrom0.0%, Reid Schaefer7.2%
7.5 min/game · 2.28 xGF/60 · P(intact) 18%
- SJS 5v5 xGA/60 +6%
- vs Alex Nedeljkovic .896 (39% to start)
- Nedeljkovic .825 on rebounds
- Together 1 of last 2
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.