Fantasy tools
Stack Finder: best line and PP1 stacks for Tuesday, Apr 28
Data updated:
Top 10 stacks
Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
Matchup factors →Zach Hyman95%, Ryan Nugent-Hopkins75%, Leon Draisaitl100%, Connor McDavid100%, Evan Bouchard100%
Matchup factors →Troy Terry46%, Cutter Gauthier98%, Leo Carlsson95%
Matchup factors →Alex Killorn5.1%, Mikael Granlund53%, Beckett Sennecke95%
Matchup factors →Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian18%
Matchup factors →Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
Matchup factors →Leon Draisaitl100%, Kasperi Kapanen16%, Vasily Podkolzin83%
Matchup factors →Joel Eriksson Ek80%, Kirill Kaprizov98%, Quinn Hughes100%, Bobby Brink14%, Matt Boldy100%
Matchup factors →Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%
Matchup factors →Alex Tuch94%, Tage Thompson100%, Peyton Krebs17%
Matchup factors →
By game
BOS @ BUF
Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%
8.4 min/game · 3.28 xGF/60 · P(intact) 95%
- BOS 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .28
Alex Tuch94%, Tage Thompson100%, Peyton Krebs17%
8.5 min/game · 2.93 xGF/60 · P(intact) 95%
- BOS 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .26
Elias Lindholm43%, David Pastrnak100%, Pavel Zacha74%, Charlie McAvoy96%, Morgan Geekie95%
2.7 min/game · 8.61 xGF/60 · P(intact) 95%
- BUF shorthanded time −4%
- BUF PK xGA/60 −4%
- Together 3 of last 3
- DK correlation .19
Elias Lindholm43%, David Pastrnak100%, Morgan Geekie95%
7.3 min/game · 2.81 xGF/60 · P(intact) 95%
- BUF 5v5 xGA/60 +0%
- Together 3 of last 3
- DK correlation .28
Josh Doan59%, Noah Ostlund28%, Zach Benson55%
8.9 min/game · 2.42 xGF/60 · P(intact) 82%
- BOS 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .27
Viktor Arvidsson34%, Pavel Zacha74%, Casey Mittelstadt12%
5.7 min/game · 2.57 xGF/60 · P(intact) 95%
- BUF 5v5 xGA/60 +0%
- Together 3 of last 3
- DK correlation .26
Sean Kuraly0.2%, Tanner Jeannot6.5%, Mark Kastelic17%
6.8 min/game · 2.06 xGF/60 · P(intact) 95%
- BUF 5v5 xGA/60 +0%
- Together 3 of last 3
- DK correlation .29
Jordan Greenway0.3%, Beck Malenstyn4.1%, Tyson Kozak3.2%
7.2 min/game · 1.60 xGF/60 · P(intact) 82%
- BOS 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .27
Jason Zucker22%, Tage Thompson100%, Josh Norris37%, Rasmus Dahlin100%, Jack Quinn51%
5.9 min/game · 8.35 xGF/60 · P(intact) 12%
- BOS shorthanded time +11%
- BOS PK xGA/60 −3%
- Together 1 of last 3
- DK correlation .19
Marat Khusnutdinov11%, Fraser Minten46%, James Hagens50%
6.6 min/game · 2.29 xGF/60 · P(intact) 23%
- BUF 5v5 xGA/60 +0%
- Together 2 of last 3
- DK correlation .27
MIN @ DAL
Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
6.2 min/game · 10.05 xGF/60 · P(intact) 95%
- MIN shorthanded time +3%
- MIN PK xGA/60 +6%
- Together 3 of last 3
- DK correlation .21
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian18%
13.3 min/game · 2.87 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 −4%
- Together 3 of last 3
- DK correlation .28
Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
13.1 min/game · 2.91 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 −4%
- Together 3 of last 3
- DK correlation .28
Joel Eriksson Ek80%, Kirill Kaprizov98%, Quinn Hughes100%, Bobby Brink14%, Matt Boldy100%
4.1 min/game · 8.25 xGF/60 · P(intact) 82%
- DAL shorthanded time +6%
- DAL PK xGA/60 −7%
- Together 2 of last 3
- DK correlation .17
Jamie Benn20%, Sam Steel5.7%, Arttu Hyry4.0%
10.8 min/game · 2.23 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 −4%
- Together 3 of last 3
- DK correlation .28
Ryan Hartman36%, Kirill Kaprizov98%, Bobby Brink14%
9.6 min/game · 2.55 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .26
Marcus Johansson0.5%, Joel Eriksson Ek80%, Matt Boldy100%
8.2 min/game · 2.52 xGF/60 · P(intact) 95%
- DAL 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .27
Marcus Foligno4.1%, Michael McCarron8.2%, Nico Sturm0.1%
6.0 min/game · 2.71 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .27
Colin Blackwell0.1%, Radek Faksa0.1%, Oskar Bäck0.2%
7.4 min/game · 1.48 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 −4%
- Together 3 of last 3
- DK correlation .29
Nick Foligno3.3%, Vladimir Tarasenko8.5%, Danila Yurov33%
7.7 min/game · 1.48 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 −2%
- Together 2 of last 3
- DK correlation .28
ANA @ EDM
Zach Hyman95%, Ryan Nugent-Hopkins75%, Leon Draisaitl100%, Connor McDavid100%, Evan Bouchard100%
3.6 min/game · 10.42 xGF/60 · P(intact) 95%
- ANA shorthanded time +2%
- ANA PK xGA/60 +3%
- Together 3 of last 3
- DK correlation .20
Troy Terry46%, Cutter Gauthier98%, Leo Carlsson95%
11.7 min/game · 3.29 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .28
Alex Killorn5.1%, Mikael Granlund53%, Beckett Sennecke95%
12.5 min/game · 3.05 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .28
Leon Draisaitl100%, Kasperi Kapanen16%, Vasily Podkolzin83%
10.6 min/game · 2.80 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +9%
- Together 3 of last 3
- DK correlation .27
Alex Killorn5.1%, Jackson LaCombe97%, Mason McTavish51%, Cutter Gauthier98%, Beckett Sennecke95%
2.2 min/game · 9.48 xGF/60 · P(intact) 95%
- EDM shorthanded time −16%
- EDM PK xGA/60 +6%
- Together 3 of last 3
- DK correlation .20
Zach Hyman95%, Connor McDavid100%, Matt Savoie36%
6.2 min/game · 3.56 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .27
Chris Kreider63%, Ryan Poehling6.7%, Mason McTavish51%
8.5 min/game · 2.31 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 −2%
- Together 3 of last 3
- DK correlation .28
Ryan Nugent-Hopkins75%, Jason Dickinson3.2%, Jack Roslovic33%
4.0 min/game · 2.26 xGF/60 · P(intact) 68%
- ANA 5v5 xGA/60 +9%
- Together 1 of last 3
- DK correlation .28
Curtis Lazar0.0%, Trent Frederic4.9%, Colton Dach10%
4.2 min/game · 2.03 xGF/60 · P(intact) 23%
- ANA 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .29
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.