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Stack Finder: best line and PP1 stacks for Friday, Feb 27

Every forward line and first power-play unit on the Friday, Feb 27 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MIN L1 (Zuccarello–Hartman–Kaprizov) vs UTA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MINL1vs UTA0.66 xG

    Mats Zuccarello41%, Ryan Hartman32%, Kirill Kaprizov98%

    Matchup factors →
  2. #2UTAPP1vs MIN0.60 xG

    Nick Schmaltz97%, Clayton Keller100%, Mikhail Sergachev99%, Barrett Hayton11%, Dylan Guenther99%

    Matchup factors →
  3. #3MINPP1vs UTA0.60 xG

    Mats Zuccarello41%, Joel Eriksson Ek78%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%

    Matchup factors →
  4. #4UTAL1vs MIN0.55 xG

    Nick Schmaltz97%, Lawson Crouse33%, Clayton Keller100%

    Matchup factors →
  5. #5BUFL1vs FLA0.52 xG

    Jason Zucker22%, Ryan McLeod22%, Jack Quinn51%

    Matchup factors →
  6. #6MINL2vs UTA0.44 xG

    Marcus Johansson0.5%, Joel Eriksson Ek78%, Matt Boldy100%

    Matchup factors →
  7. #7FLAL3vs BUF0.43 xG

    Sam Bennett81%, Matthew Tkachuk99%, Mackie Samoskevich

    Matchup factors →
  8. #8MINL3vs UTA0.43 xG

    Vladimir Tarasenko8.3%, Yakov Trenin18%, Danila Yurov33%

    Matchup factors →
  9. #9ANAL2vs WPG0.41 xG

    Chris Kreider62%, Troy Terry45%, Ryan Poehling5.8%

    Matchup factors →
  10. #10UTAL2vs MIN0.39 xG

    Kailer Yamamoto4.3%, Barrett Hayton11%, JJ Peterka74%

    Matchup factors →

By game

BUF @ FLA

VGK @ WSH

MIN @ UTA

WPG @ 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.