Fantasy tools
Stack Finder: best line and PP1 stacks for Saturday, Apr 18
Data updated:
Top 10 stacks
Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
Matchup factors →Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Thomas Harley86%, Wyatt Johnston100%
Matchup factors →Robby Fabbri, Nicolas Aube-Kubel, Ben Jones0.0%
Matchup factors →Vladimir Tarasenko8.5%, Bobby Brink14%, Danila Yurov33%
Matchup factors →Claude Giroux32%, Drake Batherson97%, Stephen Halliday5.6%
Matchup factors →Anthony Mantha45%, Elmer Soderblom4.8%, Ben Kindel50%
Matchup factors →Nick Foligno3.3%, Marcus Johansson0.5%, Hunter Haight4.0%
Matchup factors →Kevin Hayes0.0%, Avery Hayes, Rutger McGroarty
Matchup factors →Lars Eller4.1%, Warren Foegele4.0%, Fabian Zetterlund13%
Matchup factors →Noel Acciari4.1%, Joona Koppanen0.0%, Rafael Harvey-Pinard
Matchup factors →
By game
OTT @ CAR
Claude Giroux32%, Drake Batherson97%, Stephen Halliday5.6%
9.0 min/game · 3.07 xGF/60 · P(intact) 82%
- CAR 5v5 xGA/60 −1%
- Together 2 of last 3
- DK correlation .27
Lars Eller4.1%, Warren Foegele4.0%, Fabian Zetterlund13%
7.7 min/game · 2.35 xGF/60 · P(intact) 95%
- CAR 5v5 xGA/60 −1%
- Together 3 of last 3
- DK correlation .27
Claude Giroux32%, Drake Batherson97%, Dylan Cozens89%, Shane Pinto39%, Jordan Spence21%
2.1 min/game · 8.16 xGF/60 · P(intact) 82%
- CAR shorthanded time −3%
- CAR PK xGA/60 −8%
- Together 2 of last 3
- DK correlation .18
Kurtis MacDermid0.0%, Dylan Cozens89%, Ridly Greig15%
6.0 min/game · 2.57 xGF/60 · P(intact) 82%
- CAR 5v5 xGA/60 −1%
- Together 2 of last 3
- DK correlation .26
Taylor Hall27%, Logan Stankoven68%, Jackson Blake70%
14.3 min/game · 3.84 xGF/60 · P(intact) 12%
- OTT 5v5 xGA/60 −6%
- Together 1 of last 3
- DK correlation .29
Nick Cousins3.2%, Michael Amadio6.0%, Shane Pinto39%
8.7 min/game · 2.61 xGF/60 · P(intact) 23%
- CAR 5v5 xGA/60 −1%
- Together 2 of last 3
- DK correlation .26
Nikolaj Ehlers92%, Jesperi Kotkaniemi3.2%, Bradly Nadeau26%
12.2 min/game · 2.15 xGF/60 · P(intact) 12%
- OTT 5v5 xGA/60 −6%
- Together 1 of last 3
- DK correlation .27
Jordan Martinook4.3%, Skyler Brind'Amour0.0%, Eric Robinson0.1%
11.2 min/game · 2.09 xGF/60 · P(intact) 12%
- OTT 5v5 xGA/60 −6%
- Together 1 of last 3
Nicolas Deslauriers0.2%, Mark Jankowski0.2%, William Carrier3.3%
8.8 min/game · 2.57 xGF/60 · P(intact) 12%
- OTT 5v5 xGA/60 −6%
- Together 1 of last 3
- DK correlation .29
Shayne Gostisbehere95%, Nikolaj Ehlers92%, Sebastian Aho100%, Andrei Svechnikov97%, Seth Jarvis94%
2.4 min/game · 8.52 xGF/60 · P(intact) 12%
- OTT shorthanded time +9%
- OTT PK xGA/60 +2%
- Together 1 of last 3
- DK correlation .20
PHI @ PIT
Anthony Mantha45%, Elmer Soderblom4.8%, Ben Kindel50%
11.0 min/game · 3.12 xGF/60 · P(intact) 68%
- PHI 5v5 xGA/60 −6%
- Together 1 of last 3
- DK correlation .27
Kevin Hayes0.0%, Avery Hayes, Rutger McGroarty
10.8 min/game · 2.08 xGF/60 · P(intact) 82%
- PHI 5v5 xGA/60 −6%
- Together 2 of last 3
Noel Acciari4.1%, Joona Koppanen0.0%, Rafael Harvey-Pinard
8.9 min/game · 2.54 xGF/60 · P(intact) 68%
- PHI 5v5 xGA/60 −6%
- Together 1 of last 3
Owen Tippett77%, Trevor Zegras83%, Tyson Foerster38%
11.9 min/game · 2.72 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .28
Christian Dvorak15%, Travis Konecny91%, Porter Martone87%
10.7 min/game · 2.37 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .27
Sean Couturier8.3%, Luke Glendening0.0%, Garnet Hathaway4.0%
8.8 min/game · 2.32 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .28
Noah Cates15%, Denver Barkey14%, Matvei Michkov83%
8.6 min/game · 2.32 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +9%
- Together 2 of last 3
- DK correlation .27
Evgeni Malkin86%, Sidney Crosby100%, Erik Karlsson95%, Bryan Rust84%, Rickard Rakell81%
2.6 min/game · 8.09 xGF/60 · P(intact) 12%
- PHI shorthanded time −5%
- PHI PK xGA/60 +2%
- Together 1 of last 3
- DK correlation .20
Rickard Rakell81%, Egor Chinakhov50%, Ville Koivunen18%
12.7 min/game · 1.62 xGF/60 · P(intact) 12%
- PHI 5v5 xGA/60 −6%
- Together 1 of last 3
- DK correlation .27
Rasmus Ristolainen8.3%, Christian Dvorak15%, Travis Konecny91%, Owen Tippett77%, Matvei Michkov83%
1.1 min/game · 7.40 xGF/60 · P(intact) 23%
- PIT shorthanded time −5%
- PIT PK xGA/60 −3%
- Together 2 of last 3
- DK correlation .20
MIN @ DAL
Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%
11.1 min/game · 3.35 xGF/60 · P(intact) 95%
- MIN 5v5 xGA/60 +1%
- Together 3 of last 3
- DK correlation .28
Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Thomas Harley86%, Wyatt Johnston100%
4.3 min/game · 7.35 xGF/60 · P(intact) 95%
- MIN shorthanded time +1%
- MIN PK xGA/60 +11%
- Together 3 of last 3
- DK correlation .21
Robby Fabbri, Nicolas Aube-Kubel, Ben Jones0.0%
8.1 min/game · 4.30 xGF/60 · P(intact) 82%
- DAL 5v5 xGA/60 +3%
- Together 2 of last 3
Vladimir Tarasenko8.5%, Bobby Brink14%, Danila Yurov33%
12.8 min/game · 3.10 xGF/60 · P(intact) 68%
- DAL 5v5 xGA/60 +3%
- Together 1 of last 3
- DK correlation .28
Nick Foligno3.3%, Marcus Johansson0.5%, Hunter Haight4.0%
8.9 min/game · 2.91 xGF/60 · P(intact) 68%
- DAL 5v5 xGA/60 +3%
- Together 1 of last 3
Radek Faksa0.1%, Adam Erne0.0%, Oskar Bäck0.2%
8.6 min/game · 2.31 xGF/60 · P(intact) 68%
- MIN 5v5 xGA/60 +1%
- Together 1 of last 3
- DK correlation .29
Michael McCarron8.2%, Yakov Trenin19%, Nico Sturm0.1%
8.9 min/game · 1.88 xGF/60 · P(intact) 68%
- DAL 5v5 xGA/60 +3%
- Together 1 of last 3
- DK correlation .27
Jared Spurgeon22%, Marcus Johansson0.5%, Vladimir Tarasenko8.5%, Bobby Brink14%, Danila Yurov33%
6.0 min/game · 8.09 xGF/60 · P(intact) 12%
- DAL shorthanded time +4%
- DAL PK xGA/60 −2%
- Together 1 of last 3
- DK correlation .20
Michael Bunting4.4%, Mikko Rantanen99%, Wyatt Johnston100%
11.9 min/game · 2.42 xGF/60 · P(intact) 12%
- MIN 5v5 xGA/60 +1%
- Together 1 of last 3
- DK correlation .29
Jamie Benn20%, Justin Hryckowian18%, Arttu Hyry4.0%
5.0 min/game · 2.48 xGF/60 · P(intact) 12%
- MIN 5v5 xGA/60 +1%
- 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.