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Stack Finder: best line and PP1 stacks for Thursday, Feb 26

Every forward line and first power-play unit on the Thursday, Feb 26 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MIN L1 (Zuccarello–Hartman–Kaprizov) vs COL.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MINL1vs COL0.72 xG

    Mats Zuccarello41%, Ryan Hartman32%, Kirill Kaprizov98%

    Matchup factors →
  2. #2CARL1vs TBL0.67 xG

    Taylor Hall42%, Logan Stankoven81%, Jackson Blake82%

    Matchup factors →
  3. #3PITL1vs NJD0.67 xG

    Evgeni Malkin85%, Tommy Novak38%, Egor Chinakhov44%

    Matchup factors →
  4. #4NSHL1vs CHI0.64 xG

    Steven Stamkos94%, Ryan O'Reilly82%, Luke Evangelista70%

    Matchup factors →
  5. #5BOSL1vs CBJ0.60 xG

    Viktor Arvidsson42%, Casey Mittelstadt12%, Fraser Minten53%

    Matchup factors →
  6. #6SEAPP1vs STL0.59 xG

    Jordan Eberle48%, Chandler Stephenson25%, Jared McCann78%, Vince Dunn93%, Matty Beniers49%

    Matchup factors →
  7. #7OTTL2vs DET0.59 xG

    Brady Tkachuk99%, Dylan Cozens85%, Ridly Greig15%

    Matchup factors →
  8. #8TORL2vs FLA0.57 xG

    John Tavares95%, William Nylander99%, Matias Maccelli13%

    Matchup factors →
  9. #9NYIL1vs MTL0.56 xG

    Ondrej Palat0.2%, Bo Horvat93%, Mathew Barzal81%

    Matchup factors →
  10. #10CARL3vs TBL0.55 xG

    Sebastian Aho100%, Andrei Svechnikov98%, Seth Jarvis93%

    Matchup factors →

By game

CBJ @ BOS

NYI @ MTL

DET @ OTT

TOR @ FLA

NJD @ PIT

TBL @ CAR

PHI @ NYR

SEA @ STL

CHI @ NSH

MIN @ COL

CGY @ SJS

EDM @ 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.