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NHL Stack Finder: Wednesday, Oct 28

Every forward line and first power-play unit on the Wednesday, Oct 28 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: EDM L1 (Draisaitl–McDavid–Podkolzin) vs CGY.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1EDML1vs CGY0.80 xG

    Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin70%

    13.2 min/game · 4.18 xGF/60 · P(intact) 82%

    • CGY 5v5 xGA/60 +6%
    • vs Dustin Wolf .897 (78% to start)
    • Wolf .842 on rebounds
    • Together 2 of last 3
  2. #2SEAL1vs TOR0.67 xG

    Jordan Eberle30%, Chandler Stephenson17%, Bobby McMann44%

    10.0 min/game · 4.02 xGF/60 · P(intact) 82%

    • TOR 5v5 xGA/60 +10%
    • vs Sergei Bobrovsky .877 (55% to start)
    • Bobrovsky .738 on rebounds
    • Together 2 of last 3
  3. #3EDMPP1vs CGY0.54 xG

    Leon Draisaitl100%, Kasperi Kapanen9.2%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin70%

    4.7 min/game · 8.43 xGF/60 · P(intact) 82%

    • CGY shorthanded time +35%
    • CGY PK xGA/60 −2%
    • vs Dustin Wolf .897 (78% to start)
    • Wolf .842 on rebounds
    • Together 2 of last 3
  4. #4COLL1vs NJD0.51 xG

    Artturi Lehkonen57%, Nathan MacKinnon100%, Martin Necas100%

    10.0 min/game · 3.67 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +0%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 2 of last 3
  5. #5NJDL2vs COL0.46 xG

    Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%

    9.5 min/game · 3.54 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  6. #6NJDL1vs COL0.45 xG

    Anthony Mantha52%, Jesper Bratt97%, Jack Hughes100%

    9.8 min/game · 3.38 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  7. #7TORPP1vs SEA0.44 xG

    John Tavares96%, William Nylander99%, Darren Raddysh99%, Auston Matthews99%, Kirill Marchenko98%

    3.3 min/game · 7.84 xGF/60 · P(intact) 95%

    • SEA shorthanded time −19%
    • SEA PK xGA/60 +9%
    • vs Joey Daccord .899 (78% to start)
    • Daccord .862 on rebounds
    • Together 3 of last 3
  8. #8TORL1vs SEA0.44 xG

    Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%

    10.1 min/game · 2.75 xGF/60 · P(intact) 95%

    • SEA 5v5 xGA/60 +1%
    • vs Joey Daccord .899 (78% to start)
    • Daccord .862 on rebounds
    • Together 3 of last 3
  9. #9CGYL1vs EDM0.43 xG

    Morgan Frost23%, Matt Coronato40%, Matvei Gridin40%

    10.6 min/game · 2.31 xGF/60 · P(intact) 95%

    • EDM 5v5 xGA/60 +0%
    • vs Tristan Jarry .878 (44% to start)
    • Jarry .833 on rebounds
    • Together 3 of last 3
  10. #10NJDPP1vs COL0.42 xG

    Jesper Bratt97%, Nico Hischier97%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%

    5.0 min/game · 6.75 xGF/60 · P(intact) 95%

    • COL shorthanded time +0%
    • COL PK xGA/60 −16%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2

By game

PHI @ WSH

  • WSHL2vs PHI0.38 xG

    Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%

    7.3 min/game · 3.74 xGF/60 · P(intact) 95%

    • PHI 5v5 xGA/60 −10%
    • vs Joseph Woll .901 (50% to start)
    • Woll .883 on rebounds
    • Together 2 of last 2
  • PHIPP1vs WSH0.38 xG

    Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%, Matvei Michkov86%

    4.6 min/game · 7.25 xGF/60 · P(intact) 68%

    • WSH shorthanded time +4%
    • WSH PK xGA/60 +7%
    • vs Logan Thompson .912 (88% to start)
    • Thompson .858 on rebounds
    • Together 1 of last 3
  • WSHL4vs PHI0.32 xG

    Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%

    6.9 min/game · 3.31 xGF/60 · P(intact) 95%

    • PHI 5v5 xGA/60 −10%
    • vs Joseph Woll .901 (50% to start)
    • Woll .883 on rebounds
    • Together 2 of last 2
  • WSHL3vs PHI0.28 xG

    Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%

    7.2 min/game · 2.73 xGF/60 · P(intact) 95%

    • PHI 5v5 xGA/60 −10%
    • vs Joseph Woll .901 (50% to start)
    • Woll .883 on rebounds
    • Together 2 of last 2
  • WSHL1vs PHI0.24 xG

    Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%

    8.1 min/game · 2.11 xGF/60 · P(intact) 95%

    • PHI 5v5 xGA/60 −10%
    • vs Joseph Woll .901 (50% to start)
    • Woll .883 on rebounds
    • Together 2 of last 2
  • WSHPP1vs PHI0.21 xG

    Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%

    2.1 min/game · 6.73 xGF/60 · P(intact) 95%

    • PHI shorthanded time +7%
    • PHI PK xGA/60 −4%
    • vs Joseph Woll .901 (50% to start)
    • Woll .883 on rebounds
    • Together 2 of last 2
  • PHIL1vs WSH0.04 xG

    Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%

    6.3 min/game · 1.91 xGF/60 · P(intact) 23%

    • WSH 5v5 xGA/60 +2%
    • vs Logan Thompson .912 (88% to start)
    • Thompson .858 on rebounds
    • Together 2 of last 3
  • PHIL2vs WSH0.04 xG

    Noah Cates18%, Tyson Foerster42%, Matvei Michkov86%

    7.9 min/game · 2.82 xGF/60 · P(intact) 12%

    • WSH 5v5 xGA/60 +2%
    • vs Logan Thompson .912 (88% to start)
    • Thompson .858 on rebounds
    • Together 1 of last 3
  • PHIL3vs WSH0.03 xG

    Christian Dvorak16%, Travis Konecny92%, Porter Martone90%

    6.6 min/game · 2.50 xGF/60 · P(intact) 12%

    • WSH 5v5 xGA/60 +2%
    • vs Logan Thompson .912 (88% to start)
    • Thompson .858 on rebounds
    • Together 1 of last 3
  • PHIL4vs WSH0.02 xG

    Owen Tippett78%, Trevor Zegras86%, Alex Bump15%

    4.7 min/game · 1.83 xGF/60 · P(intact) 12%

    • WSH 5v5 xGA/60 +2%
    • vs Logan Thompson .912 (88% to start)
    • Thompson .858 on rebounds
    • Together 1 of last 3

CGY @ EDM

NJD @ COL

  • COLL1vs NJD0.51 xG

    Artturi Lehkonen57%, Nathan MacKinnon100%, Martin Necas100%

    10.0 min/game · 3.67 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +0%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 2 of last 3
  • NJDL2vs COL0.46 xG

    Evan Rodrigues8.3%, Arseny Gritsyuk22%, Dawson Mercer25%

    9.5 min/game · 3.54 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  • NJDL1vs COL0.45 xG

    Anthony Mantha52%, Jesper Bratt97%, Jack Hughes100%

    9.8 min/game · 3.38 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  • NJDPP1vs COL0.42 xG

    Jesper Bratt97%, Nico Hischier97%, Jack Hughes100%, Luke Evangelista70%, Luke Hughes84%

    5.0 min/game · 6.75 xGF/60 · P(intact) 95%

    • COL shorthanded time +0%
    • COL PK xGA/60 −16%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  • NJDL3vs COL0.36 xG

    Timo Meier82%, Nico Hischier97%, Luke Evangelista70%

    8.7 min/game · 3.01 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  • COLPP1vs NJD0.23 xG

    Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%, T.J. Hughes26%

    3.9 min/game · 4.61 xGF/60 · P(intact) 82%

    • NJD shorthanded time −8%
    • NJD PK xGA/60 −10%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 2 of last 3
  • COLL2vs NJD0.15 xG

    Nazem Kadri71%, Brock Nelson88%, Gabriel Landeskog50%

    7.5 min/game · 1.44 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +0%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 2 of last 3
  • NJDL4vs COL0.14 xG

    Stefan Noesen0.1%, Cody Glass4.9%, Amadeus Lombardi4.8%

    4.8 min/game · 2.21 xGF/60 · P(intact) 95%

    • COL 5v5 xGA/60 −9%
    • vs Mackenzie Blackwood .904 (72% to start)
    • Blackwood .840 on transition shots
    • Together 2 of last 2
  • COLL3vs NJD0.12 xG

    Jaden Schwartz11%, Fedor Svechkov8.0%, T.J. Hughes26%

    3.7 min/game · 2.39 xGF/60 · P(intact) 82%

    • NJD 5v5 xGA/60 +0%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 2 of last 3
  • COLL4vs NJD0.04 xG

    Parker Kelly11%, Jack Drury5.6%, Joel Kiviranta0.1%

    5.7 min/game · 3.06 xGF/60 · P(intact) 12%

    • NJD 5v5 xGA/60 +0%
    • vs David Rittich .894 (37% to start)
    • Rittich .883 on other shots
    • Together 1 of last 3

TOR @ 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.