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Stack Finder: best line and PP1 stacks for Monday, Mar 2

Every forward line and first power-play unit on the Monday, Mar 2 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: CAR L2 (Hall–Stankoven–Blake) vs SEA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1CARL2vs SEA0.72 xG

    Taylor Hall42%, Logan Stankoven80%, Jackson Blake81%

    Matchup factors →
  2. #2DALL2vs VAN0.71 xG

    Jason Robertson99%, Mavrik Bourque31%, Wyatt Johnston100%

    Matchup factors →
  3. #3PHIL1vs TOR0.69 xG

    Christian Dvorak13%, Travis Konecny88%, Trevor Zegras77%

    Matchup factors →
  4. #4CBJL2vs NYR0.68 xG

    Mason Marchment41%, Kirill Marchenko98%, Adam Fantilli91%

    Matchup factors →
  5. #5CARL1vs SEA0.65 xG

    Sebastian Aho100%, Andrei Svechnikov98%, Seth Jarvis93%

    Matchup factors →
  6. #6COLL1vs LAK0.61 xG

    Gabriel Landeskog47%, Nathan MacKinnon100%, Martin Necas100%

    Matchup factors →
  7. #7NSHL1vs DET0.59 xG

    Steven Stamkos95%, Ryan O'Reilly81%, Luke Evangelista70%

    Matchup factors →
  8. #8LAKL2vs COL0.55 xG

    Trevor Moore8.8%, Quinton Byfield82%, Alex Laferriere66%

    Matchup factors →
  9. #9DETL2vs NSH0.51 xG

    Patrick Kane70%, Andrew Copp8.3%, Alex DeBrincat99%

    Matchup factors →
  10. #10TORL1vs PHI0.51 xG

    John Tavares95%, William Nylander99%, Matias Maccelli12%

    Matchup factors →

By game

CBJ @ NYR

PHI @ TOR

DET @ NSH

DAL @ VAN

CAR @ SEA

COL @ LAK

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.