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NHL Stack Finder: Friday, Oct 23

Every forward line and first power-play unit on the Friday, Oct 23 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: TBL PP1 (Carlson–Kucherov–Guentzel–Point–Hagel) vs COL.

Data updated: Oct 4, 3:19 AM ET

Stacks with a player who is

Top 10 stacks

#1TBLPP1vs COL0.52 xG
John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel99%
5.4 min/game · 6.73 xGF/60 · P(intact) 95%
- COL shorthanded time +0%
- COL PK xGA/60 −5%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 2 of last 2
#2MTLPP1vs CHI0.46 xG
Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský100%, Ivan Demidov91%
3.1 min/game · 8.68 xGF/60 · P(intact) 95%
- CHI shorthanded time +2%
- CHI PK xGA/60 +6%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 3 of last 3
#3COLL1vs TBL0.43 xG
Artturi Lehkonen57%, Nathan MacKinnon100%, Martin Necas100%
10.0 min/game · 3.67 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −6%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
#4CHIL1vs MTL0.42 xG
Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene10%
11.1 min/game · 2.20 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
#5MTLL1vs CHI0.41 xG
Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%
10.4 min/game · 2.44 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
#6TBLL2vs COL0.39 xG
Nikita Kucherov100%, Brayden Point95%, Gage Goncalves11%
10.0 min/game · 3.55 xGF/60 · P(intact) 75%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 1 of last 2
#7TBLL1vs COL0.38 xG
Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel99%
7.9 min/game · 3.44 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 2 of last 2
#8MTLL4vs CHI0.35 xG
Josh Anderson10%, Jake Evans5.7%, Zachary Bolduc21%
7.2 min/game · 3.06 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
#9CHIL2vs MTL0.33 xG
Patrick Kane80%, Frank Nazar54%, Roman Kantserov58%
9.1 min/game · 2.46 xGF/60 · P(intact) 82%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 2 of last 3
#10COLPP1vs TBL0.31 xG
Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%, T.J. Hughes26%
5.2 min/game · 4.61 xGF/60 · P(intact) 82%
- TBL shorthanded time +21%
- TBL PK xGA/60 +3%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3

By game

MTL @ CHI

MTLPP1vs CHI0.46 xG
Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský100%, Ivan Demidov91%
3.1 min/game · 8.68 xGF/60 · P(intact) 95%
- CHI shorthanded time +2%
- CHI PK xGA/60 +6%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 3 of last 3
CHIL1vs MTL0.42 xG
Jordan Greenway0.3%, Cole Smith0.1%, Ryan Greene10%
11.1 min/game · 2.20 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 3 of last 3
MTLL1vs CHI0.41 xG
Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%
10.4 min/game · 2.44 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
MTLL4vs CHI0.35 xG
Josh Anderson10%, Jake Evans5.7%, Zachary Bolduc21%
7.2 min/game · 3.06 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
CHIL2vs MTL0.33 xG
Patrick Kane80%, Frank Nazar54%, Roman Kantserov58%
9.1 min/game · 2.46 xGF/60 · P(intact) 82%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 2 of last 3
MTLL2vs CHI0.21 xG
Alex Newhook26%, Juraj Slafkovský100%, Ivan Demidov91%
8.9 min/game · 1.51 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
CHIL3vs MTL0.18 xG
Teuvo Teravainen13%, Tyler Bertuzzi62%, Anton Frondell72%
7.4 min/game · 1.66 xGF/60 · P(intact) 82%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 2 of last 3
MTLL3vs CHI0.16 xG
Phillip Danault4.9%, Alexandre Texier4.9%, Kirby Dach12%
7.8 min/game · 1.28 xGF/60 · P(intact) 82%
- CHI 5v5 xGA/60 +16%
- vs Spencer Knight .901 (90% to start)
- Knight .866 on rebounds
- Together 2 of last 3
CHIL4vs MTL0.12 xG
Ryan Donato9.9%, Nick Lardis23%, Oliver Moore22%
5.0 min/game · 1.65 xGF/60 · P(intact) 82%
- MTL 5v5 xGA/60 +6%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 2 of last 3
CHIPP1vs MTL0.06 xG
Patrick Kane80%, Tyler Bertuzzi62%, Bowen Byram96%, Roman Kantserov58%, Anton Frondell72%
2.6 min/game · 4.90 xGF/60 · P(intact) 23%
- MTL shorthanded time +7%
- MTL PK xGA/60 +18%
- vs Jakub Dobes .900 (70% to start)
- Dobes .868 on rebounds
- Together 2 of last 3

TBL @ COL

TBLPP1vs COL0.52 xG
John Carlson99%, Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Brandon Hagel99%
5.4 min/game · 6.73 xGF/60 · P(intact) 95%
- COL shorthanded time +0%
- COL PK xGA/60 −5%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 2 of last 2
COLL1vs TBL0.43 xG
Artturi Lehkonen57%, Nathan MacKinnon100%, Martin Necas100%
10.0 min/game · 3.67 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −6%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
TBLL2vs COL0.39 xG
Nikita Kucherov100%, Brayden Point95%, Gage Goncalves11%
10.0 min/game · 3.55 xGF/60 · P(intact) 75%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 1 of last 2
TBLL1vs COL0.38 xG
Jake Guentzel100%, Anthony Cirelli51%, Brandon Hagel99%
7.9 min/game · 3.44 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 2 of last 2
COLPP1vs TBL0.31 xG
Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%, T.J. Hughes26%
5.2 min/game · 4.61 xGF/60 · P(intact) 82%
- TBL shorthanded time +21%
- TBL PK xGA/60 +3%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
TBLL3vs COL0.28 xG
Zemgus Girgensons3.2%, Pontus Holmberg0.1%, Ilya Mikheyev8.3%
8.2 min/game · 3.15 xGF/60 · P(intact) 75%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .904 (79% to start)
- Blackwood .840 on transition shots
- Together 1 of last 2
COLL2vs TBL0.13 xG
Nazem Kadri71%, Brock Nelson88%, Gabriel Landeskog50%
7.5 min/game · 1.44 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −6%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
COLL3vs TBL0.10 xG
Jaden Schwartz11%, Fedor Svechkov8.0%, T.J. Hughes26%
3.7 min/game · 2.39 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −6%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- Together 2 of last 3
COLL4vs TBL0.03 xG
Parker Kelly11%, Jack Drury5.6%, Joel Kiviranta0.1%
5.7 min/game · 3.06 xGF/60 · P(intact) 12%
- TBL 5v5 xGA/60 −6%
- vs Andrei Vasilevskiy .912 (98% to start)
- Vasilevskiy .866 on rebounds
- 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.