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Stack Finder: best line and PP1 stacks for Monday, Apr 13

Every forward line and first power-play unit on the Monday, Apr 13 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: LAK L2 (Kopitar–Kempe–Panarin) vs SEA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1LAKL2vs SEA0.69 xG

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

    Matchup factors →
  2. #2LAKL1vs SEA0.68 xG

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

    Matchup factors →
  3. #3STLL1vs MIN0.66 xG

    Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →
  4. #4BUFL3vs CHI0.60 xG

    Josh Norris37%, Josh Doan59%, Zach Benson55%

    Matchup factors →
  5. #5BUFL1vs CHI0.56 xG

    Alex Tuch94%, Tage Thompson100%, Peyton Krebs17%

    Matchup factors →
  6. #6BUFL2vs CHI0.56 xG

    Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%

    Matchup factors →
  7. #7DETL2vs TBL0.55 xG

    Patrick Kane75%, Andrew Copp9.2%, Alex DeBrincat99%

    Matchup factors →
  8. #8BUFPP1vs CHI0.53 xG

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

    Matchup factors →
  9. #9CHIPP1vs BUF0.53 xG

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

    Matchup factors →
  10. #10WPGL1vs VGK0.50 xG

    Mark Scheifele100%, Kyle Connor99%, Alex Iafallo4.2%

    Matchup factors →

By game

DET @ TBL

NYR @ FLA

CAR @ PHI

DAL @ TOR

MIN @ STL

SJS @ NSH

BUF @ CHI

COL @ EDM

WPG @ VGK

LAK @ SEA

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.