Fantasy tools
Stack Finder: best line and PP1 stacks for Wednesday, Apr 1
Data updated:
Top 10 stacks
Will Smith95%, Macklin Celebrini100%, Igor Chernyshov54%
Matchup factors →Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%
Matchup factors →Alex Killorn5.1%, Mikael Granlund54%, Beckett Sennecke95%
Matchup factors →Trevor Moore8.9%, Quinton Byfield85%, Alex Laferriere67%
Matchup factors →Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%
Matchup factors →Nazem Kadri71%, Brock Nelson88%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
Matchup factors →Alexander Wennberg23%, Kiefer Sherwood57%, William Eklund77%
Matchup factors →Artturi Lehkonen78%, Nathan MacKinnon100%, Martin Necas100%
Matchup factors →Chris Kreider63%, Troy Terry46%, Leo Carlsson95%
Matchup factors →John Carlson98%, Chris Kreider63%, Mikael Granlund54%, Troy Terry46%, Leo Carlsson95%
Matchup factors →
By game
VAN @ COL
Nazem Kadri71%, Brock Nelson88%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
2.9 min/game · 9.98 xGF/60 · P(intact) 95%
- VAN shorthanded time −7%
- VAN PK xGA/60 +4%
- Together 3 of last 3
- DK correlation .21
Artturi Lehkonen78%, Nathan MacKinnon100%, Martin Necas100%
7.8 min/game · 3.96 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +6%
- Together 2 of last 3
- DK correlation .28
Parker Kelly19%, Jack Drury4.8%, Joel Kiviranta0.1%
6.8 min/game · 3.55 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +6%
- Together 3 of last 3
- DK correlation .28
Elias Pettersson93%, Linus Karlsson11%, Liam Ohgren25%
11.6 min/game · 2.56 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −7%
- Together 2 of last 3
- DK correlation .27
Brock Nelson88%, Gabriel Landeskog50%, Valeri Nichushkin56%
6.6 min/game · 3.75 xGF/60 · P(intact) 82%
- VAN 5v5 xGA/60 +6%
- Together 2 of last 3
- DK correlation .27
Nazem Kadri71%, Ross Colton7.3%, Logan O'Connor0.2%
8.4 min/game · 2.46 xGF/60 · P(intact) 95%
- VAN 5v5 xGA/60 +6%
- Together 3 of last 3
Brock Boeser63%, Drew O'Connor6.7%, Marco Rossi69%
11.6 min/game · 1.98 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −7%
- Together 2 of last 3
- DK correlation .28
Evander Kane4.7%, Teddy Blueger4.0%, Jake DeBrusk43%
6.4 min/game · 1.95 xGF/60 · P(intact) 82%
- COL 5v5 xGA/60 −7%
- Together 2 of last 3
- DK correlation .27
Brock Boeser63%, Jake DeBrusk43%, Filip Hronek94%, Elias Pettersson93%, Marco Rossi69%
2.1 min/game · 8.24 xGF/60 · P(intact) 23%
- COL shorthanded time −4%
- COL PK xGA/60 −9%
- Together 2 of last 3
- DK correlation .19
Nils Hoglander8.3%, Aatu Räty9.6%, Max Sasson4.9%
7.0 min/game · 2.24 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −7%
- Together 1 of last 3
- DK correlation .28
STL @ LAK
Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%
14.1 min/game · 2.94 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −7%
- Together 3 of last 3
- DK correlation .28
Trevor Moore8.9%, Quinton Byfield85%, Alex Laferriere67%
12.0 min/game · 2.99 xGF/60 · P(intact) 95%
- STL 5v5 xGA/60 −7%
- Together 3 of last 3
- DK correlation .28
Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%
11.6 min/game · 3.63 xGF/60 · P(intact) 82%
- LAK 5v5 xGA/60 −13%
- Together 2 of last 3
- DK correlation .28
Pavel Buchnevich33%, Jordan Kyrou74%, Jake Neighbours29%
9.0 min/game · 3.05 xGF/60 · P(intact) 95%
- LAK 5v5 xGA/60 −13%
- Together 3 of last 3
- DK correlation .29
Jonatan Berggren4.0%, Dalibor Dvorsky29%, Otto Stenberg14%
9.5 min/game · 1.73 xGF/60 · P(intact) 82%
- LAK 5v5 xGA/60 −13%
- Together 2 of last 3
- DK correlation .28
Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%, Alex Laferriere67%, Brandt Clarke95%
1.5 min/game · 7.53 xGF/60 · P(intact) 95%
- STL shorthanded time −6%
- STL PK xGA/60 +5%
- Together 3 of last 3
- DK correlation .19
Robert Thomas90%, Philip Broberg63%, Dylan Holloway92%, Jake Neighbours29%, Jimmy Snuggerud78%
1.6 min/game · 9.13 xGF/60 · P(intact) 82%
- LAK shorthanded time −7%
- LAK PK xGA/60 −13%
- Together 2 of last 3
- DK correlation .20
Alexey Toropchenko0.1%, Pius Suter4.1%, Jack Finley0.0%
7.2 min/game · 1.75 xGF/60 · P(intact) 82%
- LAK 5v5 xGA/60 −13%
- Together 2 of last 3
- DK correlation .27
Jeff Malott3.2%, Samuel Helenius3.2%, Jared Wright0.0%
4.7 min/game · 2.16 xGF/60 · P(intact) 82%
- STL 5v5 xGA/60 −7%
- Together 2 of last 3
- DK correlation .28
Joel Armia3.3%, Scott Laughton4.8%, Mathieu Joseph3.2%
7.2 min/game · 1.26 xGF/60 · P(intact) 82%
- STL 5v5 xGA/60 −7%
- Together 2 of last 3
- DK correlation .28
ANA @ SJS
Will Smith95%, Macklin Celebrini100%, Igor Chernyshov54%
13.7 min/game · 2.82 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +11%
- Together 3 of last 3
- DK correlation .28
Alex Killorn5.1%, Mikael Granlund54%, Beckett Sennecke95%
9.9 min/game · 3.06 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +10%
- Together 3 of last 3
- DK correlation .28
Alexander Wennberg23%, Kiefer Sherwood57%, William Eklund77%
12.9 min/game · 2.03 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +11%
- Together 3 of last 3
- DK correlation .27
Chris Kreider63%, Troy Terry46%, Leo Carlsson95%
8.9 min/game · 3.36 xGF/60 · P(intact) 82%
- SJS 5v5 xGA/60 +10%
- Together 2 of last 3
- DK correlation .28
John Carlson98%, Chris Kreider63%, Mikael Granlund54%, Troy Terry46%, Leo Carlsson95%
3.5 min/game · 7.99 xGF/60 · P(intact) 82%
- SJS shorthanded time +25%
- SJS PK xGA/60 +8%
- Together 2 of last 3
- DK correlation .20
Tyler Toffoli37%, Collin Graf26%, Michael Misa57%
8.9 min/game · 2.62 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +11%
- Together 3 of last 3
- DK correlation .27
Dmitry Orlov30%, Tyler Toffoli37%, Alexander Wennberg23%, Will Smith95%, Macklin Celebrini100%
1.8 min/game · 8.94 xGF/60 · P(intact) 95%
- ANA shorthanded time +2%
- ANA PK xGA/60 +4%
- Together 3 of last 3
- DK correlation .21
Barclay Goodrow0.1%, Adam Gaudette0.1%, Zack Ostapchuk3.2%
7.0 min/game · 1.47 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +11%
- Together 3 of last 3
- DK correlation .28
Jeffrey Viel3.2%, Ryan Poehling6.7%, Cutter Gauthier98%
9.0 min/game · 3.19 xGF/60 · P(intact) 23%
- SJS 5v5 xGA/60 +10%
- Together 2 of last 3
- DK correlation .27
Frank Vatrano5.6%, Mason McTavish51%, Tim Washe4.9%
4.4 min/game · 3.83 xGF/60 · P(intact) 12%
- SJS 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.