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Stack Finder: best line and PP1 stacks for Monday, Apr 20

Every forward line and first power-play unit on the Monday, Apr 20 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: CAR L1 (Hall–Stankoven–Blake) vs OTT.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1CARL1vs OTT0.61 xG

    Taylor Hall27%, Logan Stankoven68%, Jackson Blake70%

    Matchup factors →
  2. #2DALL1vs MIN0.60 xG

    Matt Duchene58%, Jason Robertson100%, Mavrik Bourque33%

    Matchup factors →
  3. #3ANAL2vs EDM0.54 xG

    Chris Kreider63%, Troy Terry46%, Leo Carlsson95%

    Matchup factors →
  4. #4ANAL1vs EDM0.54 xG

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

    Matchup factors →
  5. #5PITL2vs PHI0.49 xG

    Evgeni Malkin86%, Rickard Rakell81%, Tommy Novak39%

    Matchup factors →
  6. #6PHIL2vs PIT0.45 xG

    Owen Tippett77%, Trevor Zegras83%, Tyson Foerster38%

    Matchup factors →
  7. #7EDML1vs ANA0.43 xG

    Trent Frederic4.9%, Colton Dach10%, Josh Samanski3.2%

    Matchup factors →
  8. #8MINL3vs DAL0.43 xG

    Mats Zuccarello47%, Ryan Hartman36%, Kirill Kaprizov98%

    Matchup factors →
  9. #9DALL2vs MIN0.39 xG

    Mikko Rantanen99%, Sam Steel5.7%, Wyatt Johnston100%

    Matchup factors →
  10. #10CARPP1vs OTT0.38 xG

    Shayne Gostisbehere95%, Nikolaj Ehlers92%, Sebastian Aho100%, Andrei Svechnikov97%, Seth Jarvis94%

    Matchup factors →

By game

OTT @ CAR

PHI @ PIT

MIN @ DAL

ANA @ EDM

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.