Edgehalla

Fantasy tools

Stack Finder: best line and PP1 stacks for Monday, Mar 16

Every forward line and first power-play unit on the Monday, Mar 16 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: DAL PP1 (Benn–Duchene–Robertson–Heiskanen–Johnston) vs UTA.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1DALPP1vs UTA0.65 xG

    Jamie Benn20%, Matt Duchene58%, Jason Robertson100%, Miro Heiskanen100%, Wyatt Johnston100%

    Matchup factors →
  2. #2LAKL1vs NYR0.60 xG

    Anze Kopitar0.4%, Adrian Kempe97%, Artemi Panarin97%

    Matchup factors →
  3. #3COLL1vs PIT0.58 xG

    Nazem Kadri71%, Nathan MacKinnon100%, Martin Necas100%

    Matchup factors →
  4. #4DETL1vs CGY0.57 xG

    Patrick Kane75%, J.T. Compher4.0%, Alex DeBrincat99%

    Matchup factors →
  5. #5DALL1vs UTA0.56 xG

    Jason Robertson100%, Mavrik Bourque33%, Wyatt Johnston100%

    Matchup factors →
  6. #6LAKL2vs NYR0.55 xG

    Trevor Moore8.8%, Quinton Byfield84%, Alex Laferriere67%

    Matchup factors →
  7. #7NYRL1vs LAK0.44 xG

    Mika Zibanejad98%, Alexis Lafrenière88%, Gabe Perreault61%

    Matchup factors →
  8. #8UTAL1vs DAL0.43 xG

    Nick Schmaltz97%, Lawson Crouse34%, Clayton Keller100%

    Matchup factors →
  9. #9NJDL1vs BOS0.43 xG

    Timo Meier79%, Nico Hischier96%, Dawson Mercer23%

    Matchup factors →
  10. #10CGYL2vs DET0.40 xG

    Ryan Strome4.0%, Victor Olofsson28%, Yegor Sharangovich6.7%

    Matchup factors →

By game

CGY @ DET

BOS @ NJD

LAK @ NYR

UTA @ DAL

PIT @ 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.