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NHL Stack Finder: Monday, Nov 9

Every forward line and first power-play unit on the Monday, Nov 9 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM L1 (Draisaitl–McDavid–Podkolzin) vs NYR.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1EDML1vs NYR0.65 xG

    Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%

    Matchup factors →
  2. #2NYIPP1vs SJS0.59 xG

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

    Matchup factors →
  3. #3NYRL1vs EDM0.54 xG

    Mika Zibanejad98%, Alexis Lafrenière81%, Gabe Perreault54%

    Matchup factors →
  4. #4NYIL3vs SJS0.51 xG

    Brayden Schenn28%, Calum Ritchie31%, Victor Eklund37%

    Matchup factors →
  5. #5EDMPP1vs NYR0.39 xG

    Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%

    Matchup factors →
  6. #6PHIPP1vs VAN0.39 xG

    Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster41%, Matvei Michkov86%

    Matchup factors →
  7. #7SJSPP1vs NYI0.34 xG

    Alexander Wennberg24%, Luca Cagnoni64%, Will Smith95%, Macklin Celebrini100%, Igor Chernyshov53%

    Matchup factors →
  8. #8SJSL1vs NYI0.33 xG

    Mason Marchment47%, Will Smith95%, Macklin Celebrini100%

    Matchup factors →
  9. #9NYRPP1vs EDM0.32 xG

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

    Matchup factors →
  10. #10NYRL2vs EDM0.30 xG

    Eeli Tolvanen38%, Will Cuylle64%, Noah Laba11%

    Matchup factors →

By game

NYR @ EDM

PHI @ VAN

NYI @ 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.