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NHL Stack Finder: Monday, Nov 16

Every forward line and first power-play unit on the Monday, Nov 16 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: UTA L1 (Trocheck–Schmaltz–Keller) vs VAN.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1UTAL1vs VAN0.78 xG

    Vincent Trocheck89%, Nick Schmaltz95%, Clayton Keller100%

    Matchup factors →
  2. #2UTAL2vs VAN0.71 xG

    Anders Lee29%, Dylan Guenther99%, Logan Cooley94%

    Matchup factors →
  3. #3UTAL3vs VAN0.59 xG

    Lawson Crouse36%, Barrett Hayton10%, Jack McBain17%

    Matchup factors →
  4. #4NYRL1vs MTL0.53 xG

    Mika Zibanejad98%, Alexis Lafrenière81%, Gabe Perreault54%

    Matchup factors →
  5. #5MTLPP1vs NYR0.46 xG

    Nick Suzuki100%, Cole Caufield100%, Lane Hutson100%, Juraj Slafkovský99%, Ivan Demidov91%

    Matchup factors →
  6. #6UTAL4vs VAN0.44 xG

    Kevin Stenlund0.1%, Michael Carcone6.6%, Daniil But21%

    Matchup factors →
  7. #7NYRPP1vs MTL0.41 xG

    Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev93%, Alexis Lafrenière81%

    Matchup factors →
  8. #8UTAPP1vs VAN0.38 xG

    Nick Schmaltz95%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%

    Matchup factors →
  9. #9MTLL1vs NYR0.31 xG

    Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%

    Matchup factors →
  10. #10NYRL2vs MTL0.29 xG

    Eeli Tolvanen38%, Will Cuylle64%, Noah Laba11%

    Matchup factors →

By game

MTL @ NYR

VAN @ 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.