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Stack Finder: best line and PP1 stacks for Saturday, Mar 7

Every forward line and first power-play unit on the Saturday, Mar 7 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: CAR L1 (Aho–Svechnikov–Jarvis) vs CGY.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1CARL1vs CGY0.72 xG

    Sebastian Aho100%, Andrei Svechnikov98%, Seth Jarvis93%

    Matchup factors →
  2. #2LAKL1vs MTL0.71 xG

    Anze Kopitar0.4%, Adrian Kempe96%, Artemi Panarin97%

    Matchup factors →
  3. #3CARL2vs CGY0.71 xG

    Taylor Hall42%, Logan Stankoven80%, Jackson Blake81%

    Matchup factors →
  4. #4NYIL1vs SJS0.66 xG

    Ondrej Palat0.1%, Bo Horvat92%, Mathew Barzal81%

    Matchup factors →
  5. #5PITPP1vs PHI0.58 xG

    Evgeni Malkin85%, Erik Karlsson95%, Bryan Rust83%, Rickard Rakell77%, Anthony Mantha38%

    Matchup factors →
  6. #6UTAL1vs CBJ0.56 xG

    Nick Schmaltz97%, Clayton Keller100%, Dylan Guenther99%

    Matchup factors →
  7. #7NJDL1vs NYR0.52 xG

    Timo Meier77%, Nico Hischier95%, Dawson Mercer22%

    Matchup factors →
  8. #8CBJL2vs UTA0.50 xG

    Mason Marchment41%, Kirill Marchenko98%, Adam Fantilli91%

    Matchup factors →
  9. #9MTLPP1vs LAK0.50 xG

    Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský98%, Ivan Demidov90%

    Matchup factors →
  10. #10CARL3vs CGY0.49 xG

    Jordan Staal17%, Jordan Martinook4.3%, Nikolaj Ehlers89%

    Matchup factors →

By game

WSH @ BOS

NYR @ NJD

NSH @ BUF

PHI @ PIT

TBL @ TOR

UTA @ CBJ

VAN @ WPG

MTL @ LAK

CAR @ CGY

NYI @ SJS

OTT @ SEA

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.