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Stack Finder: best line and PP1 stacks for Friday, Dec 4

Every forward line and first power-play unit on the Friday, Dec 4 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: BUF L1 (Quinn–Ostlund–Benson) vs VAN.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1BUFL1vs VAN0.77 xG

    Jack Quinn49%, Noah Ostlund26%, Zach Benson55%

    Matchup factors →
  2. #2STLL1vs CHI0.71 xG

    Robert Thomas91%, Dylan Holloway93%, Jimmy Snuggerud79%

    Matchup factors →
  3. #3BUFL2vs VAN0.67 xG

    Tage Thompson100%, Josh Norris37%, Josh Doan59%

    Matchup factors →
  4. #4SEAL1vs ANA0.66 xG

    Jordan Eberle35%, Chandler Stephenson20%, Bobby McMann45%

    Matchup factors →
  5. #5NYIPP1vs SJS0.62 xG

    Kyle Palmieri17%, Brayden Schenn27%, Bo Horvat91%, Matias Maccelli12%, Matthew Schaefer100%

    Matchup factors →
  6. #6BUFL3vs VAN0.55 xG

    Ryan McLeod24%, Peyton Krebs17%, Konsta Helenius40%

    Matchup factors →
  7. #7NYIL3vs SJS0.49 xG

    Brayden Schenn27%, Calum Ritchie31%, Victor Eklund37%

    Matchup factors →
  8. #8ANAL2vs SEA0.37 xG

    A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%

    Matchup factors →
  9. #9CHIL1vs STL0.37 xG

    Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene9.6%

    Matchup factors →
  10. #10ANAL1vs SEA0.36 xG

    Alex Killorn5.1%, Mikael Granlund51%, Beckett Sennecke94%

    Matchup factors →

By game

SJS @ NYI

CHI @ STL

BUF @ VAN

SEA @ 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.