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Stack Finder: best line and PP1 stacks for Sunday, Mar 15

Every forward line and first power-play unit on the Sunday, Mar 15 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MIN PP1 (Zuccarello–Ek–Kaprizov–Hughes–Boldy) vs TOR.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MINPP1vs TOR0.90 xG

    Mats Zuccarello46%, Joel Eriksson Ek79%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%

    Matchup factors →
  2. #2OTTPP1vs SJS0.76 xG

    Thomas Chabot87%, Drake Batherson97%, Brady Tkachuk99%, Dylan Cozens89%, Tim Stützle100%

    Matchup factors →
  3. #3STLL1vs WPG0.67 xG

    Robert Thomas89%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →
  4. #4SJSL1vs OTT0.57 xG

    Will Smith95%, Macklin Celebrini100%, Collin Graf26%

    Matchup factors →
  5. #5MINL1vs TOR0.56 xG

    Mats Zuccarello46%, Ryan Hartman35%, Kirill Kaprizov98%

    Matchup factors →
  6. #6OTTL2vs SJS0.55 xG

    Brady Tkachuk99%, Dylan Cozens89%, Ridly Greig15%

    Matchup factors →
  7. #7ANAPP1vs MTL0.54 xG

    Chris Kreider62%, Jackson LaCombe98%, Cutter Gauthier97%, Leo Carlsson95%, Beckett Sennecke95%

    Matchup factors →
  8. #8ANAL3vs MTL0.53 xG

    Alex Killorn5.1%, Jeffrey Viel3.2%, Ryan Poehling6.7%

    Matchup factors →
  9. #9OTTL1vs SJS0.49 xG

    Claude Giroux32%, Drake Batherson97%, Tim Stützle100%

    Matchup factors →
  10. #10MTLL3vs ANA0.48 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →

By game

STL @ WPG

SJS @ OTT

ANA @ MTL

TOR @ MIN

NSH @ EDM

FLA @ 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.