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NHL Stack Finder: Wednesday, Oct 7

Every forward line and first power-play unit on the Wednesday, Oct 7 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: WSH L2 (Kyrou–Protas–Protas) vs PIT.

Data updated: Oct 3, 1:39 PM ET

Stacks with a player who is

Top 10 stacks

#1WSHL2vs PIT0.60 xG
Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%
8.5 min/game · 4.14 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
#2ANAL1vs EDM0.55 xG
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
10.5 min/game · 2.89 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
#3PITL1vs WSH0.55 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.1 min/game · 3.58 xGF/60 · P(intact) 95%
- WSH 5v5 xGA/60 +3%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 3 of last 3
#4ANAL2vs EDM0.46 xG
A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%
9.9 min/game · 3.57 xGF/60 · P(intact) 68%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 1 of last 3
#5WSHL3vs PIT0.45 xG
Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%
6.4 min/game · 4.06 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
#6WPGL1vs COL0.44 xG
Mark Scheifele99%, Kyle Connor99%, Cole Perfetti37%
11.5 min/game · 2.78 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
#7PITPP1vs WSH0.42 xG
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell83%, Tommy Novak11%, Egor Chinakhov48%
3.9 min/game · 9.42 xGF/60 · P(intact) 68%
- WSH shorthanded time +6%
- WSH PK xGA/60 +12%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
#8WSHL1vs PIT0.40 xG
Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%
9.3 min/game · 2.46 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
#9WPGPP1vs COL0.38 xG
Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%, Cole Perfetti37%
3.5 min/game · 8.13 xGF/60 · P(intact) 95%
- COL shorthanded time +3%
- COL PK xGA/60 −12%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
#10WSHL4vs PIT0.36 xG
Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%
6.0 min/game · 3.51 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1

By game

PIT @ WSH

WSHL2vs PIT0.60 xG
Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%
8.5 min/game · 4.14 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
PITL1vs WSH0.55 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.1 min/game · 3.58 xGF/60 · P(intact) 95%
- WSH 5v5 xGA/60 +3%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 3 of last 3
WSHL3vs PIT0.45 xG
Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%
6.4 min/game · 4.06 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
PITPP1vs WSH0.42 xG
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell83%, Tommy Novak11%, Egor Chinakhov48%
3.9 min/game · 9.42 xGF/60 · P(intact) 68%
- WSH shorthanded time +6%
- WSH PK xGA/60 +12%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
WSHL1vs PIT0.40 xG
Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%
9.3 min/game · 2.46 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
WSHL4vs PIT0.36 xG
Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%
6.0 min/game · 3.51 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +3%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
WSHPP1vs PIT0.21 xG
Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%
1.9 min/game · 6.94 xGF/60 · P(intact) 95%
- PIT shorthanded time +6%
- PIT PK xGA/60 −8%
- vs Arturs Silovs .890 (94% to start)
- Silovs .767 on rebounds
- Together 1 of last 1
PITL2vs WSH0.14 xG
Sidney Crosby100%, Bryan Rust85%, Rickard Rakell83%
13.9 min/game · 2.79 xGF/60 · P(intact) 23%
- WSH 5v5 xGA/60 +3%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 2 of last 3
PITL4vs WSH0.10 xG
Anthony Mantha52%, Elmer Soderblom4.8%, Ben Kindel40%
9.8 min/game · 2.72 xGF/60 · P(intact) 23%
- WSH 5v5 xGA/60 +3%
- vs Logan Thompson .912 (95% to start)
- Thompson .858 on rebounds
- Together 2 of last 3

COL @ WPG

WPGL1vs COL0.44 xG
Mark Scheifele99%, Kyle Connor99%, Cole Perfetti37%
11.5 min/game · 2.78 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
WPGPP1vs COL0.38 xG
Mark Scheifele99%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%, Cole Perfetti37%
3.5 min/game · 8.13 xGF/60 · P(intact) 95%
- COL shorthanded time +3%
- COL PK xGA/60 −12%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
COLPP1vs WPG0.32 xG
Nazem Kadri71%, Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
2.5 min/game · 7.69 xGF/60 · P(intact) 95%
- WPG shorthanded time −7%
- WPG PK xGA/60 −2%
- vs Stuart Skinner .887 (71% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
WPGL2vs COL0.23 xG
Gabriel Vilardi80%, Isak Rosen14%, Viggo Björck44%
9.3 min/game · 1.78 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
WPGL3vs COL0.19 xG
Adam Lowry5.7%, Morgan Barron4.8%, Brad Lambert15%
9.1 min/game · 1.53 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
WPGL4vs COL0.13 xG
Nino Niederreiter4.0%, Vladislav Namestnikov0.1%, Alex Iafallo4.3%
7.3 min/game · 1.24 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −8%
- vs Mackenzie Blackwood .902 (72% to start)
- Blackwood .833 on transition shots
- Together 1 of last 1
COLL1vs WPG0.12 xG
Gabriel Landeskog50%, Artturi Lehkonen57%, Nathan MacKinnon100%
7.9 min/game · 3.81 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +0%
- vs Stuart Skinner .887 (71% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
COLL2vs WPG0.07 xG
Nazem Kadri71%, Brock Nelson88%, Martin Necas100%
5.4 min/game · 3.21 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +0%
- vs Stuart Skinner .887 (71% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
COLL3vs WPG0.04 xG
Parker Kelly11%, Jack Drury5.6%, Logan O'Connor0.2%
4.5 min/game · 1.91 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +0%
- vs Stuart Skinner .887 (71% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
COLL4vs WPG0.03 xG
Valeri Nichushkin60%, Nicolas Roy4.9%, Ross Colton8.1%
4.9 min/game · 2.47 xGF/60 · P(intact) 12%
- WPG 5v5 xGA/60 +0%
- vs Stuart Skinner .887 (71% to start)
- Skinner .807 on rebounds
- Together 1 of last 3

EDM @ ANA

ANAL1vs EDM0.55 xG
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
10.5 min/game · 2.89 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
ANAL2vs EDM0.46 xG
A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%
9.9 min/game · 3.57 xGF/60 · P(intact) 68%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 1 of last 3
ANAL4vs EDM0.29 xG
Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.8%
7.8 min/game · 2.86 xGF/60 · P(intact) 68%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 1 of last 3
EDML1vs ANA0.14 xG
Leon Draisaitl100%, Kasperi Kapanen9.2%, Vasily Podkolzin70%
9.7 min/game · 3.50 xGF/60 · P(intact) 23%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (97% to start)
- Dostal .875 on cycle shots
- Together 2 of last 3
EDMPP1vs ANA0.08 xG
Zach Hyman98%, Leon Draisaitl100%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin70%
4.6 min/game · 8.55 xGF/60 · P(intact) 12%
- ANA shorthanded time +5%
- ANA PK xGA/60 −2%
- vs Lukas Dostal .889 (97% to start)
- Dostal .875 on cycle shots
- Together 1 of last 3
EDML2vs ANA0.07 xG
Zach Hyman98%, Connor McDavid100%, Alex Formenton9.6%
11.7 min/game · 2.91 xGF/60 · P(intact) 12%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (97% to start)
- Dostal .875 on cycle shots
- Together 1 of last 3
ANAPP1vs EDM0.07 xG
Alex Killorn5.1%, Jackson LaCombe98%, Mason McTavish51%, Cutter Gauthier98%, Beckett Sennecke94%
2.5 min/game · 6.06 xGF/60 · P(intact) 23%
- EDM shorthanded time −13%
- EDM PK xGA/60 +12%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 2 of last 3
EDML3vs ANA0.04 xG
Mathieu Joseph0.1%, Max Jones0.1%, Colton Dach11%
10.2 min/game · 1.97 xGF/60 · P(intact) 12%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (97% to start)
- Dostal .875 on cycle shots
- Together 1 of last 3
ANAL3vs EDM0.04 xG
Ross Johnston3.2%, Jeffrey Viel4.0%, Tim Washe4.0%
4.9 min/game · 1.87 xGF/60 · P(intact) 23%
- EDM 5v5 xGA/60 +1%
- vs Tristan Jarry .878 (57% to start)
- Jarry .833 on rebounds
- Together 2 of last 3
EDML4vs ANA0.03 xG
Trent Frederic4.0%, Isaac Howard30%, Owen Michaels3.2%
6.9 min/game · 1.80 xGF/60 · P(intact) 12%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (97% to start)
- Dostal .875 on cycle shots
- Together 1 of last 3

How it works

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.
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.
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.
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.
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.