Fantasy tools
Stack Finder: best line and PP1 stacks for Wednesday, Apr 15
Data updated:
Top 10 stacks
Teuvo Teravainen11%, Tyler Bertuzzi56%, Frank Nazar50%, Connor Bedard97%, Anton Frondell69%
Matchup factors →Will Smith96%, Macklin Celebrini100%, Igor Chernyshov54%
Matchup factors →Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
Matchup factors →Alex Tuch94%, Tage Thompson100%, Peyton Krebs17%
Matchup factors →Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%
Matchup factors →Patrick Kane75%, Andrew Copp9.2%, Alex DeBrincat99%
Matchup factors →Mark Stone93%, Tomas Hertl85%, Jack Eichel99%, Mitch Marner99%, Pavel Dorofeyev93%
Matchup factors →Josh Norris37%, Josh Doan59%, Zach Benson55%
Matchup factors →Tyler Bertuzzi56%, Ilya Mikheyev7.5%, Anton Frondell69%
Matchup factors →Jordan Eberle39%, Bobby McMann47%, Matty Beniers51%
Matchup factors →
By game
DAL @ BUF
Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
10.9 min/game · 3.30 xGF/60 · P(intact) 95%
- BUF 5v5 xGA/60 +1%
- Together 3 of last 3
- DK correlation .28
Alex Tuch94%, Tage Thompson100%, Peyton Krebs17%
12.7 min/game · 2.80 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .26
Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%
10.4 min/game · 3.30 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .28
Josh Norris37%, Josh Doan59%, Zach Benson55%
9.3 min/game · 3.55 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .27
Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Thomas Harley86%, Wyatt Johnston100%
3.2 min/game · 7.79 xGF/60 · P(intact) 95%
- BUF shorthanded time −5%
- BUF PK xGA/60 −3%
- Together 3 of last 3
- DK correlation .21
Jordan Greenway0.3%, Beck Malenstyn4.1%, Tyson Kozak3.2%
6.8 min/game · 1.50 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .27
Jason Zucker22%, Tage Thompson100%, Josh Norris37%, Rasmus Dahlin100%, Jack Quinn51%
3.3 min/game · 8.73 xGF/60 · P(intact) 23%
- DAL shorthanded time +4%
- DAL PK xGA/60 −6%
- Together 2 of last 3
- DK correlation .19
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian18%
7.1 min/game · 3.20 xGF/60 · P(intact) 23%
- BUF 5v5 xGA/60 +1%
- Together 2 of last 3
- DK correlation .28
Colin Blackwell0.1%, Cameron Hughes0.1%, Oskar Bäck0.2%
4.1 min/game · 4.73 xGF/60 · P(intact) 23%
- BUF 5v5 xGA/60 +1%
- Together 2 of last 3
- DK correlation .29
Jamie Benn20%, Adam Erne0.0%, Arttu Hyry4.0%
6.2 min/game · 1.78 xGF/60 · P(intact) 23%
- BUF 5v5 xGA/60 +1%
- Together 2 of last 3
- DK correlation .28
NYR @ TBL
J.T. Miller91%, Conor Sheary0.1%, Tye Kartye7.3%
9.6 min/game · 3.00 xGF/60 · P(intact) 95%
- TBL 5v5 xGA/60 −6%
- Together 3 of last 3
- DK correlation .28
Corey Perry6.6%, Jake Guentzel100%, Brayden Point95%
10.6 min/game · 3.24 xGF/60 · P(intact) 68%
- NYR 5v5 xGA/60 +2%
- Together 1 of last 3
- DK correlation .27
Mika Zibanejad98%, Alexis Lafrenière83%, Gabe Perreault58%
9.9 min/game · 2.60 xGF/60 · P(intact) 95%
- TBL 5v5 xGA/60 −6%
- Together 3 of last 3
- DK correlation .28
Yanni Gourde4.9%, Zemgus Girgensons3.3%, Nick Paul7.3%
12.4 min/game · 2.67 xGF/60 · P(intact) 68%
- NYR 5v5 xGA/60 +2%
- Together 1 of last 3
- DK correlation .29
Vincent Trocheck87%, Mika Zibanejad98%, J.T. Miller91%, Adam Fox99%, Alexis Lafrenière83%
3.5 min/game · 7.55 xGF/60 · P(intact) 95%
- TBL shorthanded time −1%
- TBL PK xGA/60 −8%
- Together 3 of last 3
- DK correlation .20
Vincent Trocheck87%, Jonny Brodzinski0.0%, Will Cuylle63%
8.6 min/game · 2.27 xGF/60 · P(intact) 95%
- TBL 5v5 xGA/60 −6%
- Together 3 of last 3
- DK correlation .29
Jaroslav Chmelar0.1%, Adam Sykora6.4%, Noah Laba10%
9.2 min/game · 1.91 xGF/60 · P(intact) 95%
- TBL 5v5 xGA/60 −6%
- Together 3 of last 3
- DK correlation .28
Scott Sabourin0.0%, Oliver Bjorkstrand17%, Conor Geekie20%
7.8 min/game · 2.31 xGF/60 · P(intact) 68%
- NYR 5v5 xGA/60 +2%
- Together 1 of last 3
Nikita Kucherov100%, Anthony Cirelli49%, Brandon Hagel99%
12.1 min/game · 3.99 xGF/60 · P(intact) 12%
- NYR 5v5 xGA/60 +2%
- Together 1 of last 3
- DK correlation .29
Corey Perry6.6%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Darren Raddysh98%
5.3 min/game · 6.17 xGF/60 · P(intact) 12%
- NYR shorthanded time +3%
- NYR PK xGA/60 +4%
- Together 1 of last 3
- DK correlation .18
DET @ FLA
Patrick Kane75%, Andrew Copp9.2%, Alex DeBrincat99%
12.4 min/game · 2.90 xGF/60 · P(intact) 95%
- FLA 5v5 xGA/60 −8%
- Together 3 of last 3
- DK correlation .28
A.J. Greer7.5%, Eetu Luostarinen14%, Mackie Samoskevich
10.7 min/game · 3.09 xGF/60 · P(intact) 82%
- DET 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .28
Dylan Larkin96%, Lucas Raymond94%, Emmitt Finnie27%
12.6 min/game · 2.39 xGF/60 · P(intact) 95%
- FLA 5v5 xGA/60 −8%
- Together 3 of last 3
- DK correlation .27
Jesper Boqvist0.1%, Cole Schwindt0.0%, Wilmer Skoog0.0%
11.0 min/game · 2.37 xGF/60 · P(intact) 82%
- DET 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .28
David Perron0.1%, J.T. Compher4.0%, Carter Mazur4.0%
10.3 min/game · 2.11 xGF/60 · P(intact) 95%
- FLA 5v5 xGA/60 −8%
- Together 3 of last 3
- DK correlation .27
Vinnie Hinostroza0.0%, Luke Kunin0.0%, Cole Reinhardt0.1%
11.9 min/game · 1.88 xGF/60 · P(intact) 82%
- DET 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .28
Patrick Kane75%, Dylan Larkin96%, Alex DeBrincat99%, Moritz Seider99%, Lucas Raymond94%
2.2 min/game · 9.97 xGF/60 · P(intact) 95%
- FLA shorthanded time +17%
- FLA PK xGA/60 −14%
- Together 3 of last 3
- DK correlation .20
Tomas Nosek, Noah Gregor0.0%, Nolan Foote0.0%
9.5 min/game · 1.25 xGF/60 · P(intact) 82%
- DET 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .28
James van Riemsdyk0.3%, Dominik Shine0.0%, Marco Kasper27%
5.2 min/game · 1.68 xGF/60 · P(intact) 23%
- FLA 5v5 xGA/60 −8%
- Together 2 of last 3
- DK correlation .28
Carter Verhaeghe70%, Sam Bennett82%, Eetu Luostarinen14%, Mike Benning4.0%, Mackie Samoskevich
1.6 min/game · 5.29 xGF/60 · P(intact) 12%
- DET shorthanded time −18%
- DET PK xGA/60 +11%
- Together 1 of last 3
- DK correlation .22
TOR @ OTT
Nick Cousins3.2%, Michael Amadio6.0%, Shane Pinto39%
9.1 min/game · 2.60 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +4%
- Together 3 of last 3
- DK correlation .26
John Tavares96%, William Nylander99%, Easton Cowan54%
10.5 min/game · 2.46 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −10%
- Together 2 of last 3
- DK correlation .28
Lars Eller4.1%, Warren Foegele4.0%, Fabian Zetterlund13%
7.6 min/game · 2.51 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +4%
- Together 3 of last 3
- DK correlation .27
John Tavares96%, Oliver Ekman-Larsson39%, William Nylander99%, Matthew Knies95%, Easton Cowan54%
2.0 min/game · 7.17 xGF/60 · P(intact) 82%
- OTT shorthanded time +10%
- OTT PK xGA/60 −2%
- Together 2 of last 3
- DK correlation .20
Brady Tkachuk100%, Dylan Cozens89%, Ridly Greig15%
8.2 min/game · 3.65 xGF/60 · P(intact) 23%
- TOR 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .28
Claude Giroux32%, Drake Batherson97%, Tim Stützle100%
8.1 min/game · 3.04 xGF/60 · P(intact) 23%
- TOR 5v5 xGA/60 +4%
- Together 2 of last 3
- DK correlation .27
Steven Lorentz0.0%, Nick Robertson33%, Luke Haymes0.0%
9.0 min/game · 2.07 xGF/60 · P(intact) 23%
- OTT 5v5 xGA/60 −10%
- Together 2 of last 3
- DK correlation .27
Drake Batherson97%, Brady Tkachuk100%, Dylan Cozens89%, Jake Sanderson97%, Tim Stützle100%
1.1 min/game · 9.52 xGF/60 · P(intact) 23%
- TOR shorthanded time +0%
- TOR PK xGA/60 +9%
- Together 2 of last 3
- DK correlation .20
Calle Jarnkrok0.0%, Michael Pezzetta0.0%, Jacob Quillan0.0%
6.6 min/game · 1.74 xGF/60 · P(intact) 23%
- OTT 5v5 xGA/60 −10%
- Together 2 of last 3
- DK correlation .27
Max Domi4.9%, Matias Maccelli12%, Matthew Knies95%
3.2 min/game · 1.92 xGF/60 · P(intact) 12%
- OTT 5v5 xGA/60 −10%
- Together 1 of last 3
- DK correlation .28
SJS @ CHI
Teuvo Teravainen11%, Tyler Bertuzzi56%, Frank Nazar50%, Connor Bedard97%, Anton Frondell69%
4.8 min/game · 9.11 xGF/60 · P(intact) 95%
- SJS shorthanded time +22%
- SJS PK xGA/60 +9%
- Together 3 of last 3
- DK correlation .27
Will Smith96%, Macklin Celebrini100%, Igor Chernyshov54%
14.5 min/game · 2.87 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +14%
- Together 2 of last 3
- DK correlation .28
Tyler Bertuzzi56%, Ilya Mikheyev7.5%, Anton Frondell69%
11.2 min/game · 2.49 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +10%
- Together 3 of last 3
- DK correlation .27
Alexander Wennberg23%, Kiefer Sherwood57%, William Eklund78%
12.1 min/game · 1.97 xGF/60 · P(intact) 95%
- CHI 5v5 xGA/60 +14%
- Together 3 of last 3
- DK correlation .27
Tyler Toffoli37%, Collin Graf26%, Michael Misa57%
9.1 min/game · 2.57 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +14%
- Together 2 of last 3
- DK correlation .27
Andre Burakovsky5.6%, Ryan Donato9.0%, Frank Nazar50%
5.8 min/game · 2.02 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +10%
- Together 3 of last 3
- DK correlation .28
Ryan Greene9.6%, Connor Bedard97%, Nick Lardis22%
7.3 min/game · 1.79 xGF/60 · P(intact) 82%
- SJS 5v5 xGA/60 +10%
- Together 2 of last 3
- DK correlation .27
Barclay Goodrow0.1%, Adam Gaudette0.1%, Zack Ostapchuk3.2%
9.1 min/game · 1.32 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +14%
- Together 2 of last 3
- DK correlation .28
Teuvo Teravainen11%, Dominic Toninato0.0%, Landon Slaggert0.0%
5.9 min/game · 1.89 xGF/60 · P(intact) 68%
- SJS 5v5 xGA/60 +10%
- Together 1 of last 3
- DK correlation .27
Tyler Toffoli37%, Alexander Wennberg23%, Luca Cagnoni67%, Will Smith96%, Macklin Celebrini100%
1.4 min/game · 4.14 xGF/60 · P(intact) 68%
- CHI shorthanded time +2%
- CHI PK xGA/60 −2%
- Together 1 of last 3
- DK correlation .28
SEA @ VGK
Mark Stone93%, Tomas Hertl85%, Jack Eichel99%, Mitch Marner99%, Pavel Dorofeyev93%
2.6 min/game · 11.12 xGF/60 · P(intact) 95%
- SEA shorthanded time −20%
- SEA PK xGA/60 +13%
- Together 3 of last 3
- DK correlation .28
Jordan Eberle39%, Bobby McMann47%, Matty Beniers51%
14.2 min/game · 2.32 xGF/60 · P(intact) 95%
- VGK 5v5 xGA/60 −10%
- Together 3 of last 3
- DK correlation .29
Mark Stone93%, Ivan Barbashev66%, Jack Eichel99%
8.0 min/game · 3.22 xGF/60 · P(intact) 95%
- SEA 5v5 xGA/60 +1%
- Together 3 of last 3
- DK correlation .28
Nic Dowd3.2%, Keegan Kolesar5.1%, Cole Smith0.1%
8.1 min/game · 2.25 xGF/60 · P(intact) 95%
- SEA 5v5 xGA/60 +1%
- Together 3 of last 3
- DK correlation .28
Jaden Schwartz14%, Chandler Stephenson22%, Eeli Tolvanen40%
10.4 min/game · 2.04 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −10%
- Together 2 of last 3
- DK correlation .27
Mitch Marner99%, Brett Howden15%, Pavel Dorofeyev93%
7.4 min/game · 2.11 xGF/60 · P(intact) 95%
- SEA 5v5 xGA/60 +1%
- Together 3 of last 3
- DK correlation .27
Brandon Saad, Tomas Hertl85%, Colton Sissons3.3%
9.3 min/game · 2.67 xGF/60 · P(intact) 23%
- SEA 5v5 xGA/60 +1%
- Together 2 of last 3
- DK correlation .27
Jordan Eberle39%, Chandler Stephenson22%, Jared McCann74%, Vince Dunn91%, Matty Beniers51%
2.4 min/game · 8.55 xGF/60 · P(intact) 23%
- VGK shorthanded time −9%
- VGK PK xGA/60 −10%
- Together 2 of last 3
- DK correlation .20
Frederick Gaudreau3.2%, Jared McCann74%, Kaapo Kakko20%
9.7 min/game · 3.07 xGF/60 · P(intact) 12%
- VGK 5v5 xGA/60 −10%
- Together 1 of last 3
- DK correlation .28
Ryan Winterton4.0%, Oscar Fisker Molgaard5.6%, Berkly Catton31%
8.8 min/game · 2.10 xGF/60 · P(intact) 12%
- VGK 5v5 xGA/60 −10%
- Together 1 of last 3
- DK correlation .28
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.