Edgehalla

Fantasy tools

Stack Finder: best line and PP1 stacks for Sunday, Nov 29

Every forward line and first power-play unit on the Sunday, Nov 29 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MIN PP1 (Ek–Kaprizov–Hughes–Boldy–Shabanov) vs CHI.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MINPP1vs CHI0.54 xG

    Joel Eriksson Ek80%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%, Maxim Shabanov26%

    Matchup factors →
  2. #2BOSL1vs VAN0.50 xG

    Pavel Zacha74%, Morgan Geekie95%, Casey Mittelstadt12%

    Matchup factors →
  3. #3BOSL2vs VAN0.41 xG

    Elias Lindholm43%, David Pastrnak100%, JJ Peterka78%

    Matchup factors →
  4. #4CHIL1vs MIN0.38 xG

    Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene9.6%

    Matchup factors →
  5. #5MINL1vs CHI0.31 xG

    Nick Foligno3.3%, Marcus Foligno4.1%, Michael McCarron7.3%

    Matchup factors →
  6. #6MINL3vs CHI0.31 xG

    Blake Coleman37%, Joel Eriksson Ek80%, Matt Boldy100%

    Matchup factors →
  7. #7CHIL2vs MIN0.30 xG

    Patrick Kane76%, Frank Nazar50%, Roman Kantserov52%

    Matchup factors →
  8. #8BOSL3vs VAN0.27 xG

    Marat Khusnutdinov11%, Fraser Minten46%, James Hagens50%

    Matchup factors →
  9. #9BOSPP1vs VAN0.25 xG

    Elias Lindholm43%, David Pastrnak100%, Pavel Zacha74%, Morgan Geekie95%, Mason Lohrei23%

    Matchup factors →
  10. #10MINL2vs CHI0.21 xG

    Ryan Hartman37%, Yakov Trenin19%, Bobby Brink14%

    Matchup factors →

By game

MIN @ CHI

VAN @ BOS

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.