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Stack Finder: best line and PP1 stacks for Friday, Apr 3

Every forward line and first power-play unit on the Friday, Apr 3 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: STL L1 (Thomas–Holloway–Snuggerud) vs ANA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1STLL1vs ANA0.77 xG

    Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →
  2. #2ANAPP1vs STL0.61 xG

    John Carlson98%, Chris Kreider63%, Mikael Granlund54%, Troy Terry46%, Leo Carlsson95%

    Matchup factors →
  3. #3PHIL1vs NYI0.54 xG

    Christian Dvorak15%, Travis Konecny91%, Porter Martone86%

    Matchup factors →
  4. #4STLL3vs ANA0.50 xG

    Pavel Buchnevich33%, Jordan Kyrou74%, Jake Neighbours29%

    Matchup factors →
  5. #5ANAL1vs STL0.48 xG

    Chris Kreider63%, Troy Terry46%, Leo Carlsson95%

    Matchup factors →
  6. #6STLPP1vs ANA0.43 xG

    Robert Thomas90%, Philip Broberg63%, Dylan Holloway92%, Jake Neighbours29%, Jimmy Snuggerud78%

    Matchup factors →
  7. #7NYIL1vs PHI0.42 xG

    Anders Lee29%, Bo Horvat90%, Emil Heineman31%

    Matchup factors →
  8. #8PHIL4vs NYI0.41 xG

    Owen Tippett77%, Trevor Zegras82%, Tyson Foerster38%

    Matchup factors →
  9. #9NYIPP1vs PHI0.39 xG

    Brayden Schenn32%, Bo Horvat90%, Mathew Barzal82%, Calum Ritchie31%, Matthew Schaefer100%

    Matchup factors →
  10. #10STLL2vs ANA0.30 xG

    Jonatan Berggren4.0%, Dalibor Dvorsky29%, Otto Stenberg14%

    Matchup factors →

By game

PHI @ NYI

STL @ ANA

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.