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Stack Finder: best line and PP1 stacks for Monday, Apr 6

Every forward line and first power-play unit on the Monday, Apr 6 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: LAK L1 (Moore–Byfield–Laferriere) vs NSH.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1LAKL1vs NSH0.61 xG

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

    Matchup factors →
  2. #2LAKL2vs NSH0.57 xG

    Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%

    Matchup factors →
  3. #3CHIL2vs SJS0.57 xG

    Teuvo Teravainen11%, Connor Bedard97%, Nick Lardis22%

    Matchup factors →
  4. #4CHIL1vs SJS0.54 xG

    Tyler Bertuzzi56%, Ilya Mikheyev7.5%, Anton Frondell70%

    Matchup factors →
  5. #5CHIPP1vs SJS0.53 xG

    Teuvo Teravainen11%, Tyler Bertuzzi56%, Frank Nazar50%, Connor Bedard97%, Anton Frondell70%

    Matchup factors →
  6. #6WPGL1vs SEA0.49 xG

    Mark Scheifele100%, Kyle Connor99%, Alex Iafallo5.0%

    Matchup factors →
  7. #7NSHPP1vs LAK0.45 xG

    Steven Stamkos94%, Roman Josi98%, Ryan O'Reilly83%, Jonathan Marchessault21%, Filip Forsberg99%

    Matchup factors →
  8. #8SJSL2vs CHI0.44 xG

    Will Smith95%, Macklin Celebrini100%, Collin Graf26%

    Matchup factors →
  9. #9BUFPP1vs TBL0.43 xG

    Jason Zucker22%, Tage Thompson100%, Josh Norris37%, Rasmus Dahlin100%, Jack Quinn51%

    Matchup factors →
  10. #10SEAL1vs WPG0.43 xG

    Jordan Eberle42%, Jared McCann75%, Matty Beniers51%

    Matchup factors →

By game

TBL @ BUF

SEA @ WPG

CHI @ SJS

NSH @ LAK

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.