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NHL Stack Finder: Wednesday, Nov 18

Every forward line and first power-play unit on the Wednesday, Nov 18 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: NJD PP1 (Bratt–Hischier–Hughes–Evangelista–Hughes) vs MTL.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1NJDPP1vs MTL0.62 xG

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

    Matchup factors →
  2. #2NJDL2vs MTL0.57 xG

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

    Matchup factors →
  3. #3NJDL1vs MTL0.56 xG

    Anthony Mantha51%, Jesper Bratt96%, Jack Hughes100%

    Matchup factors →
  4. #4UTAL1vs COL0.51 xG

    Vincent Trocheck89%, Nick Schmaltz95%, Clayton Keller100%

    Matchup factors →
  5. #5DETPP1vs BOS0.49 xG

    Andrew Copp10.0%, Viktor Arvidsson32%, Alex DeBrincat100%, Moritz Seider100%, Lucas Raymond95%

    Matchup factors →
  6. #6COLL1vs UTA0.49 xG

    Artturi Lehkonen68%, Nathan MacKinnon100%, Martin Necas100%

    Matchup factors →
  7. #7UTAL2vs COL0.46 xG

    Anders Lee29%, Dylan Guenther99%, Logan Cooley94%

    Matchup factors →
  8. #8NJDL3vs MTL0.44 xG

    Timo Meier82%, Nico Hischier98%, Luke Evangelista70%

    Matchup factors →
  9. #9UTAL3vs COL0.39 xG

    Lawson Crouse36%, Barrett Hayton10%, Jack McBain17%

    Matchup factors →
  10. #10DETL1vs BOS0.38 xG

    Andrew Copp10.0%, Alex DeBrincat100%, Lucas Raymond95%

    Matchup factors →

By game

BOS @ DET

MTL @ NJD

COL @ UTA

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.