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Stack Finder: best line and PP1 stacks for Saturday, Apr 11

Every forward line and first power-play unit on the Saturday, Apr 11 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MTL PP1 (Suzuki–Caufield–Hutson–Slafkovský–Demidov) vs CBJ.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MTLPP1vs CBJ0.83 xG

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

    Matchup factors →
  2. #2PITL1vs WSH0.81 xG

    Evgeni Malkin86%, Rickard Rakell81%, Tommy Novak39%

    Matchup factors →
  3. #3CARL1vs UTA0.79 xG

    Taylor Hall27%, Logan Stankoven68%, Jackson Blake70%

    Matchup factors →
  4. #4STLL1vs CHI0.76 xG

    Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →
  5. #5MINL1vs NSH0.72 xG

    Mats Zuccarello47%, Ryan Hartman36%, Kirill Kaprizov98%

    Matchup factors →
  6. #6OTTL1vs NYI0.66 xG

    Brady Tkachuk100%, Dylan Cozens89%, Ridly Greig15%

    Matchup factors →
  7. #7NJDL1vs DET0.65 xG

    Connor Brown5.8%, Jesper Bratt95%, Jack Hughes100%

    Matchup factors →
  8. #8LAKL1vs EDM0.64 xG

    Trevor Moore8.9%, Quinton Byfield85%, Alex Laferriere67%

    Matchup factors →
  9. #9CHIPP1vs STL0.60 xG

    Teuvo Teravainen11%, Tyler Bertuzzi56%, Frank Nazar50%, Connor Bedard97%, Anton Frondell69%

    Matchup factors →
  10. #10SJSL1vs VAN0.59 xG

    Will Smith96%, Macklin Celebrini100%, Collin Graf26%

    Matchup factors →

By game

TBL @ BOS

OTT @ NYI

WSH @ PIT

EDM @ LAK

NJD @ DET

STL @ CHI

MIN @ NSH

NYR @ DAL

CAR @ UTA

FLA @ TOR

CBJ @ MTL

PHI @ WPG

CGY @ SEA

VGK @ COL

VAN @ SJS

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.