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NHL Stack Finder: Sunday, Nov 22
Data updated:
Top 10 stacks
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
Matchup factors →Robert Thomas92%, Dylan Holloway95%, Jimmy Snuggerud80%
Matchup factors →Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
Matchup factors →John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel100%
Matchup factors →Sidney Crosby100%, Rickard Rakell82%, Nick Robertson31%
Matchup factors →Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel100%
Matchup factors →Evgeni Malkin84%, Tommy Novak21%, Egor Chinakhov49%
Matchup factors →Jack Quinn47%, Noah Ostlund26%, Zach Benson56%
Matchup factors →Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene10%
Matchup factors →Mika Zibanejad98%, Alexis Lafrenière81%, Gabe Perreault54%
Matchup factors →
By game
CAR @ NYR
Mika Zibanejad98%, Alexis Lafrenière81%, Gabe Perreault54%
11.0 min/game · 2.82 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −5%
- vs Pyotr Kochetkov .899 (68% to start)
- Kochetkov .840 on cycle shots
- Together 3 of last 3
- DK correlation .28
Taylor Hall28%, Logan Stankoven67%, Jackson Blake69%
7.8 min/game · 3.81 xGF/60 · P(intact) 95%
- NYR 5v5 xGA/60 −4%
- vs Igor Shesterkin .913 (89% to start)
- Shesterkin .845 on rebounds
- Together 3 of last 3
- DK correlation .29
Shayne Gostisbehere95%, Nikolaj Ehlers93%, Sebastian Aho100%, Andrei Svechnikov97%, Jackson Blake69%
3.0 min/game · 8.74 xGF/60 · P(intact) 95%
- NYR shorthanded time +3%
- NYR PK xGA/60 +10%
- vs Igor Shesterkin .913 (89% to start)
- Shesterkin .845 on rebounds
- Together 3 of last 3
- DK correlation .20
Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev93%, Alexis Lafrenière81%
3.2 min/game · 6.75 xGF/60 · P(intact) 95%
- CAR shorthanded time +9%
- CAR PK xGA/60 −9%
- vs Pyotr Kochetkov .899 (68% to start)
- Kochetkov .840 on cycle shots
- 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%
- CAR 5v5 xGA/60 −5%
- vs Pyotr Kochetkov .899 (68% to start)
- Kochetkov .840 on cycle shots
- Together 3 of last 3
- DK correlation .29
Jordan Staal20%, Jordan Martinook4.3%, Nikolaj Ehlers93%
6.9 min/game · 2.58 xGF/60 · P(intact) 95%
- NYR 5v5 xGA/60 −4%
- vs Igor Shesterkin .913 (89% to start)
- Shesterkin .845 on rebounds
- Together 3 of last 3
- DK correlation .27
J.T. Miller92%, Oliver Bjorkstrand19%, Pavel Dorofeyev93%
7.8 min/game · 3.23 xGF/60 · P(intact) 23%
- CAR 5v5 xGA/60 −5%
- vs Pyotr Kochetkov .899 (68% to start)
- Kochetkov .840 on cycle shots
- Together 2 of last 3
Sebastian Aho100%, Eric Robinson3.2%, Andrei Svechnikov97%
5.6 min/game · 2.74 xGF/60 · P(intact) 23%
- NYR 5v5 xGA/60 −4%
- vs Igor Shesterkin .913 (89% to start)
- Shesterkin .845 on rebounds
- Together 2 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%
- CAR 5v5 xGA/60 −5%
- vs Pyotr Kochetkov .899 (68% to start)
- Kochetkov .840 on cycle shots
- Together 2 of last 3
Nicolas Deslauriers0.2%, Mark Jankowski0.2%, William Carrier0.2%
4.0 min/game · 2.16 xGF/60 · P(intact) 23%
- NYR 5v5 xGA/60 −4%
- vs Igor Shesterkin .913 (89% to start)
- Shesterkin .845 on rebounds
- Together 2 of last 3
- DK correlation .29
BUF @ TBL
John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel100%
4.9 min/game · 7.42 xGF/60 · P(intact) 95%
- BUF shorthanded time −7%
- BUF PK xGA/60 +0%
- vs Ukko-Pekka Luukkonen .905 (37% to start)
- Luukkonen .867 on rebounds
- Together 3 of last 3
- DK correlation .28
Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel100%
8.9 min/game · 3.78 xGF/60 · P(intact) 95%
- BUF 5v5 xGA/60 −1%
- vs Ukko-Pekka Luukkonen .905 (37% to start)
- Luukkonen .867 on rebounds
- Together 3 of last 3
- DK correlation .27
Jack Quinn47%, Noah Ostlund26%, Zach Benson56%
12.4 min/game · 3.49 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −8%
- vs Andrei Vasilevskiy .912 (96% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .28
Nikita Kucherov100%, Brayden Point95%, Gage Goncalves11%
9.7 min/game · 3.65 xGF/60 · P(intact) 82%
- BUF 5v5 xGA/60 −1%
- vs Ukko-Pekka Luukkonen .905 (37% to start)
- Luukkonen .867 on rebounds
- Together 2 of last 3
- DK correlation .29
Tage Thompson100%, Josh Norris38%, Josh Doan61%
11.8 min/game · 3.20 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −8%
- vs Andrei Vasilevskiy .912 (96% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .28
Ryan McLeod26%, Peyton Krebs19%, Konsta Helenius40%
8.2 min/game · 3.76 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −8%
- vs Andrei Vasilevskiy .912 (96% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .28
Tage Thompson100%, Rasmus Dahlin100%, Jack Quinn47%, Josh Doan61%, Zach Benson56%
2.8 min/game · 8.35 xGF/60 · P(intact) 95%
- TBL shorthanded time +24%
- TBL PK xGA/60 −5%
- vs Andrei Vasilevskiy .912 (96% to start)
- Vasilevskiy .866 on rebounds
- Together 3 of last 3
- DK correlation .20
Zemgus Girgensons3.2%, Pontus Holmberg0.1%, Ilya Mikheyev8.3%
8.4 min/game · 2.71 xGF/60 · P(intact) 82%
- BUF 5v5 xGA/60 −1%
- vs Ukko-Pekka Luukkonen .905 (37% to start)
- Luukkonen .867 on rebounds
- Together 2 of last 3
- DK correlation .29
Sam Carrick0.1%, Beck Malenstyn4.1%, Jiri Kulich25%
5.8 min/game · 1.61 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −8%
- vs Andrei Vasilevskiy .912 (96% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
- DK correlation .27
EDM @ STL
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- STL 5v5 xGA/60 −4%
- vs Jordan Binnington .872 (53% to start)
- Binnington .803 on rebounds
- Together 2 of last 3
- DK correlation .28
Robert Thomas92%, Dylan Holloway95%, Jimmy Snuggerud80%
9.1 min/game · 3.68 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (34% to start)
- Together 2 of last 2
- DK correlation .28
Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
3.5 min/game · 8.43 xGF/60 · P(intact) 82%
- STL shorthanded time −1%
- STL PK xGA/60 +2%
- vs Jordan Binnington .872 (53% to start)
- Binnington .803 on rebounds
- Together 2 of last 3
- DK correlation .21
Cam Fowler14%, Robert Thomas92%, Dylan Holloway95%, Mason McTavish51%, Jimmy Snuggerud80%
2.9 min/game · 4.18 xGF/60 · P(intact) 95%
- EDM shorthanded time −15%
- EDM PK xGA/60 +12%
- vs Devon Levi .810 (34% to start)
- Together 2 of last 2
- DK correlation .18
Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%
5.3 min/game · 3.23 xGF/60 · P(intact) 82%
- STL 5v5 xGA/60 −4%
- vs Jordan Binnington .872 (53% to start)
- Binnington .803 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%
- STL 5v5 xGA/60 −4%
- vs Jordan Binnington .872 (53% to start)
- Binnington .803 on rebounds
- Together 2 of last 3
Jonatan Berggren4.0%, Jake Neighbours30%, Dalibor Dvorsky28%
6.0 min/game · 2.13 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (34% to start)
- Together 2 of last 2
- DK correlation .28
Dillon Dube0.1%, Pius Suter4.2%, Zach Dean0.0%
10.4 min/game · 1.52 xGF/60 · P(intact) 75%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (34% to start)
- Together 1 of last 2
Pavel Buchnevich35%, Connor McMichael34%, Mason McTavish51%
6.3 min/game · 1.81 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +0%
- vs Devon Levi .810 (34% to start)
- Together 2 of last 2
Kasperi Kapanen12%, Max Jones0.1%, Colton Dach11%
8.0 min/game · 1.34 xGF/60 · P(intact) 82%
- STL 5v5 xGA/60 −4%
- vs Jordan Binnington .872 (53% to start)
- Binnington .803 on rebounds
- Together 2 of last 3
PIT @ DAL
Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
3.5 min/game · 10.86 xGF/60 · P(intact) 95%
- PIT shorthanded time +4%
- PIT PK xGA/60 −7%
- vs Arturs Silovs .888 (52% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- DK correlation .20
Sidney Crosby100%, Rickard Rakell82%, Nick Robertson31%
10.5 min/game · 3.60 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −10%
- vs Jake Oettinger .900 (90% to start)
- Oettinger .849 on rebounds
- Together 3 of last 3
- DK correlation .27
Evgeni Malkin84%, Tommy Novak21%, Egor Chinakhov49%
10.3 min/game · 3.42 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −10%
- vs Jake Oettinger .900 (90% to start)
- Oettinger .849 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%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (52% to start)
- Silovs .767 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%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (52% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- DK correlation .28
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell82%, Tommy Novak21%, Ben Kindel41%
2.5 min/game · 7.10 xGF/60 · P(intact) 82%
- DAL shorthanded time −2%
- DAL PK xGA/60 −11%
- vs Jake Oettinger .900 (90% to start)
- Oettinger .849 on rebounds
- Together 2 of last 3
- DK correlation .20
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian19%
7.9 min/game · 3.00 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .888 (52% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- DK correlation .28
Hendrix Lapierre9.8%, Andrei Kuzmenko11%, Ben Kindel41%
7.4 min/game · 1.55 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −10%
- vs Jake Oettinger .900 (90% to start)
- Oettinger .849 on rebounds
- Together 1 of last 3
Filip Hallander11%, Connor Dewar4.2%, Blake Lizotte0.1%
7.2 min/game · 1.64 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −10%
- vs Jake Oettinger .900 (90% to start)
- Oettinger .849 on rebounds
- Together 1 of last 3
- DK correlation .31
CHI @ VAN
Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene10%
11.1 min/game · 2.20 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +16%
- vs Leevi Meriläinen .866 (42% to start)
- Meriläinen .861 on other shots
- Together 3 of last 3
Patrick Kane78%, Frank Nazar54%, Roman Kantserov57%
9.1 min/game · 2.46 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +16%
- vs Leevi Meriläinen .866 (42% to start)
- Meriläinen .861 on other shots
- Together 2 of last 3
Brock Boeser66%, Paul Cotter39%, Liam Ohgren23%
7.7 min/game · 1.77 xGF/60 · P(intact) 95%
- CHI 5v5 xGA/60 +14%
- vs Arvid Soderblom .877 (52% to start)
- Soderblom .854 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%
- CHI 5v5 xGA/60 +14%
- vs Arvid Soderblom .877 (52% to start)
- Soderblom .854 on other shots
- Together 2 of last 3
- DK correlation .27
Teuvo Teravainen13%, Tyler Bertuzzi61%, Anton Frondell71%
7.4 min/game · 1.66 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +16%
- vs Leevi Meriläinen .866 (42% to start)
- Meriläinen .861 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%
- CHI 5v5 xGA/60 +14%
- vs Arvid Soderblom .877 (52% to start)
- Soderblom .854 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%
- CHI 5v5 xGA/60 +14%
- vs Arvid Soderblom .877 (52% to start)
- Soderblom .854 on other shots
- Together 2 of last 3
- DK correlation .28
Ryan Donato9.9%, Nick Lardis23%, Oliver Moore22%
5.0 min/game · 1.65 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +16%
- vs Leevi Meriläinen .866 (42% to start)
- Meriläinen .861 on other shots
- Together 2 of last 3
- DK correlation .28
Patrick Kane78%, Tyler Bertuzzi61%, Bowen Byram96%, Roman Kantserov57%, Anton Frondell71%
2.2 min/game · 4.90 xGF/60 · P(intact) 23%
- VAN shorthanded time −12%
- VAN PK xGA/60 +11%
- vs Leevi Meriläinen .866 (42% to start)
- Meriläinen .861 on other shots
- Together 2 of last 3
- DK correlation .27
Brock Boeser66%, Filip Hronek92%, Elias Pettersson91%, Drew O'Connor6.7%, Marco Rossi67%
5.3 min/game · 4.13 xGF/60 · P(intact) 12%
- CHI shorthanded time +2%
- CHI PK xGA/60 −2%
- vs Arvid Soderblom .877 (52% to start)
- Soderblom .854 on other shots
- Together 1 of last 3
- DK correlation .20
How it works
- Lines and PP1 come from each team's last three games of shift data: the forward trio with the most 5-on-5 time together, and the power-play five with the most time together.
- Unit strength is expected goals for per 60 minutes, recent games plus the season, shrunk toward league average so a hot two-game sample does not dominate.
- Matchup: the opponent's 5-on-5 expected goals against per 60 (for lines) or its penalty-kill rate and shorthanded minutes (for PP1), relative to the league.
- Goalie: the likely opposing starter from our goalie start model, weighted by probability, with his save % shrunk toward league average; shot-class save % when available.
- Stack score = rate × minutes × P(unit intact) × matchup × goalie, in expected goals for tonight, so lines and power plays rank on one scale.
Methodology: How we detect lines · Expected goals · Goalie shot classes · Goalie start model
Frequently asked questions
What is a stack in fantasy hockey?
A stack is a group of teammates who play together, usually a forward line or the first power-play unit, so one goal pays several of your players at once. It is the main strategy in daily fantasy hockey.
How are stacks ranked?
Each unit gets an expected-goals number for tonight: how many chances it creates per 60 minutes (recent games plus season, shrunk toward league average), how many minutes it plays, how likely it is to stay together, how leaky the opponent is at 5-on-5 or shorthanded, and how good the likely opposing goalie is.
Where do the lines come from?
From the NHL shift charts of each team's last three games: the three forwards who share the most 5-on-5 ice time form a line, and the five skaters with the most power-play time together form PP1.
Why does it say "shot-based"?
While a season is being reprocessed with our expected-goals model, unit rates fall back to shots on goal times a league-average 0.075 xG per shot. The ranking logic is the same.