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Stack Finder: best line and PP1 stacks for Thursday, Mar 19

Every forward line and first power-play unit on the Thursday, Mar 19 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: DET L1 (Kane–Compher–DeBrincat) vs MTL.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1DETL1vs MTL0.74 xG

    Patrick Kane75%, J.T. Compher4.0%, Alex DeBrincat99%

    Matchup factors →
  2. #2MTLL1vs DET0.69 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →
  3. #3EDML1vs FLA0.64 xG

    Zach Hyman96%, Connor McDavid100%, Matt Savoie36%

    Matchup factors →
  4. #4BUFPP1vs SJS0.64 xG

    Jason Zucker22%, Tage Thompson100%, Josh Norris37%, Rasmus Dahlin100%, Josh Doan59%

    Matchup factors →
  5. #5VGKPP1vs UTA0.62 xG

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

    Matchup factors →
  6. #6NYIL1vs OTT0.59 xG

    Bo Horvat90%, Mathew Barzal82%, Emil Heineman31%

    Matchup factors →
  7. #7OTTL2vs NYI0.57 xG

    Brady Tkachuk100%, Dylan Cozens88%, Ridly Greig15%

    Matchup factors →
  8. #8BUFL1vs SJS0.55 xG

    Jason Zucker22%, Ryan McLeod24%, Jack Quinn51%

    Matchup factors →
  9. #9NYRL1vs CBJ0.53 xG

    Mika Zibanejad98%, Alexis Lafrenière85%, Gabe Perreault59%

    Matchup factors →
  10. #10OTTPP1vs NYI0.53 xG

    Thomas Chabot86%, Drake Batherson97%, Brady Tkachuk100%, Dylan Cozens88%, Tim Stützle99%

    Matchup factors →

By game

WPG @ BOS

NYI @ OTT

MTL @ DET

NYR @ CBJ

SEA @ NSH

CHI @ MIN

FLA @ EDM

TBL @ VAN

UTA @ VGK

BUF @ SJS

PHI @ 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.