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Stack Finder: best line and PP1 stacks for Friday, Apr 24

Every forward line and first power-play unit on the Friday, Apr 24 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM PP1 (Hyman–Nugent-Hopkins–Draisaitl–McDavid–Bouchard) vs ANA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1EDMPP1vs ANA0.74 xG

    Zach Hyman95%, Ryan Nugent-Hopkins75%, Leon Draisaitl100%, Connor McDavid100%, Evan Bouchard100%

    Matchup factors →
  2. #2MTLPP1vs TBL0.72 xG

    Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský98%, Ivan Demidov91%

    Matchup factors →
  3. #3VGKPP1vs UTA0.61 xG

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

    Matchup factors →
  4. #4MTLL1vs TBL0.60 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →
  5. #5EDML1vs ANA0.57 xG

    Zach Hyman95%, Connor McDavid100%, Matt Savoie36%

    Matchup factors →
  6. #6TBLL1vs MTL0.52 xG

    Jake Guentzel100%, Anthony Cirelli49%, Brandon Hagel99%

    Matchup factors →
  7. #7EDML2vs ANA0.51 xG

    Leon Draisaitl100%, Kasperi Kapanen16%, Vasily Podkolzin83%

    Matchup factors →
  8. #8TBLPP1vs MTL0.50 xG

    Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Darren Raddysh98%, Brandon Hagel99%

    Matchup factors →
  9. #9ANAL1vs EDM0.42 xG

    Alex Killorn5.1%, Mikael Granlund53%, Beckett Sennecke95%

    Matchup factors →
  10. #10UTAL1vs VGK0.42 xG

    Nick Schmaltz96%, Lawson Crouse34%, Clayton Keller100%

    Matchup factors →

By game

TBL @ MTL

VGK @ UTA

EDM @ ANA

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.