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NHL Stack Finder: Monday, Nov 23

Every forward line and first power-play unit on the Monday, Nov 23 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: SEA L1 (Eberle–Stephenson–McMann) vs ANA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1SEAL1vs ANA0.69 xG

    Jordan Eberle34%, Chandler Stephenson19%, Bobby McMann45%

    Matchup factors →
  2. #2MINPP1vs SJS0.69 xG

    Joel Eriksson Ek81%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%, Maxim Shabanov27%

    Matchup factors →
  3. #3UTAL1vs WPG0.62 xG

    Vincent Trocheck89%, Nick Schmaltz95%, Clayton Keller100%

    Matchup factors →
  4. #4WPGL1vs UTA0.62 xG

    Mark Scheifele99%, Kyle Connor99%, Cole Perfetti49%

    Matchup factors →
  5. #5LAKL1vs MTL0.61 xG

    Adrian Kempe97%, Artemi Panarin97%, Quinton Byfield86%

    Matchup factors →
  6. #6NJDPP1vs CBJ0.58 xG

    Jesper Bratt96%, Nico Hischier98%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes85%

    Matchup factors →
  7. #7NYIPP1vs TOR0.57 xG

    Kyle Palmieri18%, Brayden Schenn28%, Bo Horvat90%, Matias Maccelli14%, Matthew Schaefer100%

    Matchup factors →
  8. #8UTAL2vs WPG0.56 xG

    Anders Lee29%, Dylan Guenther99%, Logan Cooley94%

    Matchup factors →
  9. #9NYIL3vs TOR0.56 xG

    Brayden Schenn28%, Calum Ritchie31%, Victor Eklund37%

    Matchup factors →
  10. #10NJDL2vs CBJ0.51 xG

    Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer24%

    Matchup factors →

By game

CBJ @ NJD

LAK @ MTL

CGY @ OTT

TOR @ NYI

UTA @ WPG

ANA @ SEA

MIN @ SJS

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.