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Stack Finder: best line and PP1 stacks for Tuesday, Mar 17

Every forward line and first power-play unit on the Tuesday, Mar 17 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: MIN PP1 (Zuccarello–Ek–Kaprizov–Hughes–Boldy) vs CHI.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1MINPP1vs CHI0.72 xG

    Mats Zuccarello46%, Joel Eriksson Ek79%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%

    Matchup factors →
  2. #2NYIL1vs TOR0.67 xG

    Bo Horvat91%, Mathew Barzal82%, Emil Heineman31%

    Matchup factors →
  3. #3CARL2vs CBJ0.66 xG

    Taylor Hall43%, Logan Stankoven80%, Jackson Blake79%

    Matchup factors →
  4. #4EDML1vs SJS0.65 xG

    Zach Hyman96%, Connor McDavid100%, Matt Savoie36%

    Matchup factors →
  5. #5MINL1vs CHI0.64 xG

    Mats Zuccarello46%, Ryan Hartman35%, Kirill Kaprizov98%

    Matchup factors →
  6. #6CARL1vs CBJ0.62 xG

    Sebastian Aho100%, Andrei Svechnikov97%, Seth Jarvis94%

    Matchup factors →
  7. #7SJSL1vs EDM0.59 xG

    Will Smith95%, Macklin Celebrini100%, Collin Graf26%

    Matchup factors →
  8. #8VANL1vs FLA0.53 xG

    Evander Kane4.7%, Elias Pettersson93%, Drew O'Connor6.7%

    Matchup factors →
  9. #9EDMPP1vs SJS0.52 xG

    Zach Hyman96%, Ryan Nugent-Hopkins75%, Leon Draisaitl100%, Connor McDavid100%, Evan Bouchard100%

    Matchup factors →
  10. #10MTLL2vs BOS0.52 xG

    Nick Suzuki100%, Cole Caufield100%, Juraj Slafkovský98%

    Matchup factors →

By game

NYI @ TOR

BOS @ MTL

CAR @ CBJ

NSH @ WPG

MIN @ CHI

SJS @ EDM

FLA @ VAN

BUF @ VGK

TBL @ SEA

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.