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Stack Finder: best line and PP1 stacks for Monday, Nov 30

Every forward line and first power-play unit on the Monday, Nov 30 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: WPG L1 (Scheifele–Connor–Perfetti) vs CHI.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1WPGL1vs CHI0.80 xG

    Mark Scheifele98%, Kyle Connor99%, Cole Perfetti61%

    Matchup factors →
  2. #2UTAL1vs MTL0.62 xG

    Vincent Trocheck87%, Nick Schmaltz95%, Clayton Keller99%

    Matchup factors →
  3. #3UTAL2vs MTL0.56 xG

    Anders Lee28%, Dylan Guenther100%, Logan Cooley94%

    Matchup factors →
  4. #4PITL1vs CBJ0.56 xG

    Sidney Crosby100%, Rickard Rakell82%, Nick Robertson32%

    Matchup factors →
  5. #5PITL2vs CBJ0.52 xG

    Evgeni Malkin86%, Tommy Novak32%, Egor Chinakhov50%

    Matchup factors →
  6. #6TORPP1vs PHI0.52 xG

    John Tavares96%, William Nylander99%, Darren Raddysh99%, Auston Matthews99%, Kirill Marchenko98%

    Matchup factors →
  7. #7CBJL1vs PIT0.51 xG

    Kent Johnson32%, Matthew Knies95%, Adam Fantilli92%

    Matchup factors →
  8. #8NYRL1vs CAR0.48 xG

    Mika Zibanejad98%, Alexis Lafrenière79%, Gabe Perreault54%

    Matchup factors →
  9. #9PHIPP1vs TOR0.48 xG

    Travis Konecny91%, Trevor Zegras83%, Jamie Drysdale52%, Tyson Foerster38%, Matvei Michkov83%

    Matchup factors →
  10. #10UTAL3vs MTL0.47 xG

    Lawson Crouse34%, Barrett Hayton10%, Jack McBain17%

    Matchup factors →

By game

OTT @ NSH

CAR @ NYR

CBJ @ PIT

PHI @ TOR

CHI @ WPG

MTL @ 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.