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Stack Finder: best line and PP1 stacks for Saturday, Mar 28

Every forward line and first power-play unit on the Saturday, Mar 28 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: DAL L1 (Robertson–Bourque–Johnston) vs PIT.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1DALL1vs PIT0.67 xG

    Jason Robertson100%, Mavrik Bourque33%, Wyatt Johnston100%

    Matchup factors →
  2. #2CARL1vs NJD0.66 xG

    Taylor Hall29%, Logan Stankoven72%, Jackson Blake71%

    Matchup factors →
  3. #3VGKPP1vs WSH0.66 xG

    Mark Stone94%, Tomas Hertl85%, Jack Eichel99%, Mitch Marner99%, Pavel Dorofeyev92%

    Matchup factors →
  4. #4TBLL2vs OTT0.66 xG

    Nikita Kucherov100%, Anthony Cirelli49%, Brandon Hagel100%

    Matchup factors →
  5. #5LAKL1vs UTA0.64 xG

    Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%

    Matchup factors →
  6. #6MTLL1vs NSH0.62 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →
  7. #7LAKL2vs UTA0.61 xG

    Trevor Moore8.9%, Quinton Byfield85%, Alex Laferriere67%

    Matchup factors →
  8. #8DETPP1vs PHI0.60 xG

    Patrick Kane75%, Dylan Larkin96%, Alex DeBrincat99%, Moritz Seider99%, Lucas Raymond95%

    Matchup factors →
  9. #9FLAL1vs NYI0.58 xG

    Carter Verhaeghe70%, Sam Bennett83%, Matthew Tkachuk99%

    Matchup factors →
  10. #10NSHL1vs MTL0.58 xG

    Steven Stamkos94%, Ryan O'Reilly83%, Luke Evangelista70%

    Matchup factors →

By game

OTT @ TBL

FLA @ NYI

ANA @ EDM

MIN @ BOS

DAL @ PIT

NJD @ CAR

SJS @ CBJ

SEA @ BUF

TOR @ STL

MTL @ NSH

WPG @ COL

PHI @ DET

UTA @ LAK

VAN @ CGY

WSH @ VGK

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.