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Stack Finder: best line and PP1 stacks for Sunday, Mar 22

Every forward line and first power-play unit on the Sunday, Mar 22 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: VGK PP1 (Stone–Hertl–Eichel–Marner–Dorofeyev) vs DAL.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1VGKPP1vs DAL0.76 xG

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

    Matchup factors →
  2. #2COLPP1vs WSH0.67 xG

    Nazem Kadri71%, Brock Nelson88%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%

    Matchup factors →
  3. #3COLL3vs WSH0.65 xG

    Nazem Kadri71%, Brock Nelson88%, Nicolas Roy14%

    Matchup factors →
  4. #4TBLL2vs CGY0.65 xG

    Nikita Kucherov100%, Anthony Cirelli49%, Brandon Hagel100%

    Matchup factors →
  5. #5PITL1vs CAR0.65 xG

    Evgeni Malkin86%, Tommy Novak42%, Egor Chinakhov50%

    Matchup factors →
  6. #6COLL1vs WSH0.62 xG

    Nathan MacKinnon100%, Valeri Nichushkin56%, Martin Necas100%

    Matchup factors →
  7. #7CARL3vs PIT0.62 xG

    Taylor Hall29%, Logan Stankoven72%, Jackson Blake71%

    Matchup factors →
  8. #8CARL1vs PIT0.60 xG

    Sebastian Aho99%, Andrei Svechnikov97%, Seth Jarvis94%

    Matchup factors →
  9. #9CBJPP1vs NYI0.60 xG

    Charlie Coyle49%, Zach Werenski100%, Mason Marchment46%, Kirill Marchenko99%, Adam Fantilli92%

    Matchup factors →
  10. #10NSHL1vs CHI0.60 xG

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

    Matchup factors →

By game

WPG @ NYR

COL @ WSH

CAR @ PIT

NSH @ CHI

CBJ @ NYI

VGK @ DAL

TBL @ CGY

BUF @ ANA

LAK @ 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.