Edgehalla

Fantasy tools

Stack Finder: best line and PP1 stacks for Thursday, Apr 16

Every forward line and first power-play unit on the Thursday, Apr 16 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: STL L1 (Thomas–Holloway–Snuggerud) vs UTA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1STLL1vs UTA0.72 xG

    Robert Thomas90%, Dylan Holloway92%, Jimmy Snuggerud78%

    Matchup factors →
  2. #2UTAPP1vs STL0.71 xG

    Nick Schmaltz96%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther100%, Logan Cooley94%

    Matchup factors →
  3. #3ANAL1vs NSH0.70 xG

    Alex Killorn5.1%, Mikael Granlund53%, Beckett Sennecke95%

    Matchup factors →
  4. #4LAKL2vs CGY0.68 xG

    Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin98%

    Matchup factors →
  5. #5LAKL1vs CGY0.68 xG

    Trevor Moore8.9%, Quinton Byfield85%, Alex Laferriere67%

    Matchup factors →
  6. #6WPGPP1vs SJS0.66 xG

    Jonathan Toews0.3%, Mark Scheifele100%, Josh Morrissey98%, Kyle Connor99%, Gabriel Vilardi79%

    Matchup factors →
  7. #7NSHL1vs ANA0.61 xG

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

    Matchup factors →
  8. #8EDMPP1vs VAN0.59 xG

    Ryan Nugent-Hopkins75%, Connor McDavid100%, Jack Roslovic33%, Evan Bouchard100%, Vasily Podkolzin83%

    Matchup factors →
  9. #9SJSL1vs WPG0.55 xG

    Will Smith96%, Macklin Celebrini100%, Igor Chernyshov54%

    Matchup factors →
  10. #10UTAL1vs STL0.45 xG

    Nick Schmaltz96%, Lawson Crouse34%, Clayton Keller100%

    Matchup factors →

By game

ANA @ NSH

SJS @ WPG

STL @ UTA

LAK @ CGY

VAN @ EDM

SEA @ 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.