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Stack Finder: best line and PP1 stacks for Sunday, Apr 5

Every forward line and first power-play unit on the Sunday, Apr 5 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: NJD L1 (Brown–Bratt–Hughes) vs MTL.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1NJDL1vs MTL0.72 xG

    Connor Brown5.8%, Jesper Bratt95%, Jack Hughes99%

    Matchup factors →
  2. #2PITL2vs FLA0.71 xG

    Evgeni Malkin86%, Rickard Rakell81%, Tommy Novak42%

    Matchup factors →
  3. #3COLL1vs STL0.70 xG

    Artturi Lehkonen78%, Nathan MacKinnon100%, Martin Necas100%

    Matchup factors →
  4. #4MINL1vs DET0.70 xG

    Mats Zuccarello46%, Ryan Hartman36%, Kirill Kaprizov98%

    Matchup factors →
  5. #5CARL1vs OTT0.66 xG

    Taylor Hall29%, Logan Stankoven72%, Jackson Blake71%

    Matchup factors →
  6. #6MTLL1vs NJD0.65 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →
  7. #7DETL1vs MIN0.64 xG

    Patrick Kane75%, Andrew Copp10.0%, Alex DeBrincat99%

    Matchup factors →
  8. #8NJDL2vs MTL0.64 xG

    Timo Meier80%, Nico Hischier96%, Dawson Mercer23%

    Matchup factors →
  9. #9FLAL1vs PIT0.63 xG

    Carter Verhaeghe70%, Sam Bennett83%, Matthew Tkachuk99%

    Matchup factors →
  10. #10STLL1vs COL0.61 xG

    Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →

By game

MIN @ DET

FLA @ PIT

BOS @ PHI

CAR @ OTT

NJD @ MTL

WSH @ NYR

STL @ COL

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.