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Stack Finder: best line and PP1 stacks for Wednesday, Apr 8

Every forward line and first power-play unit on the Wednesday, Apr 8 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM PP1 (Nugent-Hopkins–McDavid–Roslovic–Bouchard–Savoie) vs SJS.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1EDMPP1vs SJS0.63 xG

    Ryan Nugent-Hopkins75%, Connor McDavid100%, Jack Roslovic34%, Evan Bouchard100%, Matt Savoie36%

    Matchup factors →
  2. #2BUFPP1vs NYR0.52 xG

    Jason Zucker22%, Tage Thompson100%, Josh Norris37%, Rasmus Dahlin100%, Jack Quinn51%

    Matchup factors →
  3. #3NYRL1vs BUF0.48 xG

    Mika Zibanejad98%, Alexis Lafrenière85%, Gabe Perreault59%

    Matchup factors →
  4. #4TORL1vs WSH0.46 xG

    John Tavares96%, William Nylander99%, Easton Cowan55%

    Matchup factors →
  5. #5BUFL1vs NYR0.45 xG

    Josh Norris37%, Josh Doan59%, Zach Benson55%

    Matchup factors →
  6. #6EDML1vs SJS0.43 xG

    Connor McDavid100%, Vasily Podkolzin84%, Matt Savoie36%

    Matchup factors →
  7. #7EDML4vs SJS0.42 xG

    Jason Dickinson3.2%, Trent Frederic4.9%, Colton Dach10%

    Matchup factors →
  8. #8NYRL4vs BUF0.39 xG

    J.T. Miller91%, Conor Sheary0.1%, Tye Kartye8.1%

    Matchup factors →
  9. #9SJSL2vs EDM0.37 xG

    Will Smith95%, Macklin Celebrini100%, Collin Graf26%

    Matchup factors →
  10. #10NYRPP1vs BUF0.35 xG

    Vincent Trocheck87%, Mika Zibanejad98%, J.T. Miller91%, Adam Fox99%, Alexis Lafrenière85%

    Matchup factors →

By game

BUF @ NYR

WSH @ TOR

EDM @ SJS

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.