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Stack Finder: best line and PP1 stacks for Monday, Apr 27

Every forward line and first power-play unit on the Monday, Apr 27 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: VGK PP1 (Stone–Hertl–Eichel–Marner–Dorofeyev) vs UTA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1VGKPP1vs UTA0.76 xG

    Mark Stone93%, Tomas Hertl85%, Jack Eichel99%, Mitch Marner99%, Pavel Dorofeyev93%

    Matchup factors →
  2. #2CARL2vs OTT0.69 xG

    Taylor Hall27%, Logan Stankoven68%, Jackson Blake70%

    Matchup factors →
  3. #3CARL1vs OTT0.64 xG

    Sebastian Aho100%, Andrei Svechnikov97%, Seth Jarvis94%

    Matchup factors →
  4. #4UTAL1vs VGK0.51 xG

    Kailer Yamamoto0.2%, Dylan Guenther100%, Logan Cooley94%

    Matchup factors →
  5. #5PITPP1vs PHI0.48 xG

    Evgeni Malkin86%, Sidney Crosby100%, Erik Karlsson95%, Bryan Rust84%, Rickard Rakell81%

    Matchup factors →
  6. #6PHIL1vs PIT0.45 xG

    Christian Dvorak15%, Travis Konecny91%, Porter Martone87%

    Matchup factors →
  7. #7UTAL2vs VGK0.41 xG

    Nick Schmaltz96%, Lawson Crouse34%, Clayton Keller100%

    Matchup factors →
  8. #8PITL1vs PHI0.38 xG

    Sidney Crosby100%, Bryan Rust84%, Rickard Rakell81%

    Matchup factors →
  9. #9PITL3vs PHI0.34 xG

    Evgeni Malkin86%, Tommy Novak39%, Egor Chinakhov50%

    Matchup factors →
  10. #10VGKL1vs UTA0.34 xG

    Mark Stone93%, Ivan Barbashev66%, Jack Eichel99%

    Matchup factors →

By game

OTT @ CAR

PHI @ PIT

VGK @ UTA

How it works

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.