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NHL Stack Finder: Monday, Oct 5

Every forward line and first power-play unit on the Monday, Oct 5 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: PIT L1 (Malkin–Novak–Chinakhov) vs WPG.

Data updated: Oct 3, 11:57 AM ET

Stacks with a player who is

Top 10 stacks

#1PITL1vs WPG0.63 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.1 min/game · 3.58 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (57% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
#2TBLL1vs PHI0.54 xG
Nikita Kucherov100%, Anthony Cirelli51%, Brandon Hagel100%
9.0 min/game · 4.11 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −6%
- vs Dan Vladar .903 (65% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
#3BOSL3vs OTT0.45 xG
Pavel Zacha77%, Morgan Geekie97%, Casey Mittelstadt14%
10.6 min/game · 3.17 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
#4BOSL1vs OTT0.44 xG
Elias Lindholm43%, David Pastrnak100%, JJ Peterka75%
11.3 min/game · 2.92 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
#5DALL1vs SJS0.43 xG
Mikko Rantanen99%, Jason Robertson100%, Wyatt Johnston100%
5.3 min/game · 4.29 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
#6PITPP1vs WPG0.34 xG
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell82%, Tommy Novak11%, Egor Chinakhov48%
3.0 min/game · 9.42 xGF/60 · P(intact) 68%
- WPG shorthanded time −17%
- WPG PK xGA/60 +1%
- vs Stuart Skinner .887 (57% to start)
- Skinner .807 on rebounds
- Together 1 of last 3
#7WPGL1vs PIT0.31 xG
Mark Scheifele100%, Kyle Connor99%, Gabriel Vilardi80%
5.6 min/game · 3.10 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +7%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
#8BOSL4vs OTT0.23 xG
Marat Khusnutdinov11%, Fraser Minten45%, James Hagens50%
9.6 min/game · 1.80 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
#9BOSL2vs OTT0.23 xG
Sean Kuraly0.1%, Tanner Jeannot6.5%, Mark Kastelic13%
7.3 min/game · 2.00 xGF/60 · P(intact) 95%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 3 of last 3
#10DALL2vs SJS0.20 xG
Jamie Benn22%, Sam Steel5.8%, Arttu Hyry4.0%
4.3 min/game · 2.92 xGF/60 · P(intact) 82%
- SJS 5v5 xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 2 of last 3

By game

PHI @ TBL

TBLL1vs PHI0.54 xG
Nikita Kucherov100%, Anthony Cirelli51%, Brandon Hagel100%
9.0 min/game · 4.11 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −6%
- vs Dan Vladar .903 (65% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PHIPP1vs TBL0.16 xG
Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%, Matvei Michkov86%, Porter Martone91%
1.8 min/game · 6.88 xGF/60 · P(intact) 82%
- TBL shorthanded time +11%
- TBL PK xGA/60 −2%
- vs Andrei Vasilevskiy .911 (84% to start)
- Vasilevskiy .865 on rebounds
- Together 2 of last 3
PHIL1vs TBL0.14 xG
Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%
6.3 min/game · 1.91 xGF/60 · P(intact) 82%
- TBL 5v5 xGA/60 −4%
- vs Andrei Vasilevskiy .911 (84% to start)
- Vasilevskiy .865 on rebounds
- Together 2 of last 3
TBLPP1vs PHI0.11 xG
Nikita Kucherov100%, Jake Guentzel100%, Brayden Point95%, Darren Raddysh100%, Brandon Hagel100%
3.4 min/game · 8.42 xGF/60 · P(intact) 23%
- PHI shorthanded time −3%
- PHI PK xGA/60 +3%
- vs Dan Vladar .903 (65% to start)
- Vladar .889 on rebounds
- Together 2 of last 3
TBLL4vs PHI0.07 xG
Corey Perry7.4%, Jake Guentzel100%, Brayden Point95%
6.2 min/game · 3.39 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −6%
- vs Dan Vladar .903 (65% to start)
- Vladar .889 on rebounds
- Together 2 of last 3
TBLL3vs PHI0.07 xG
Yanni Gourde4.9%, Zemgus Girgensons3.2%, Nick Paul8.1%
8.9 min/game · 2.12 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −6%
- vs Dan Vladar .903 (65% to start)
- Vladar .889 on rebounds
- Together 2 of last 3
PHIL2vs TBL0.04 xG
Trevor Zegras86%, Tyson Foerster42%, Porter Martone91%
11.2 min/game · 2.05 xGF/60 · P(intact) 12%
- TBL 5v5 xGA/60 −4%
- vs Andrei Vasilevskiy .911 (84% to start)
- Vasilevskiy .865 on rebounds
- Together 1 of last 3
PHIL3vs TBL0.04 xG
Christian Dvorak16%, Travis Konecny92%, Alex Bump15%
9.4 min/game · 2.39 xGF/60 · P(intact) 12%
- TBL 5v5 xGA/60 −4%
- vs Andrei Vasilevskiy .911 (84% to start)
- Vasilevskiy .865 on rebounds
- Together 1 of last 3

OTT @ BOS

BOSL3vs OTT0.45 xG
Pavel Zacha77%, Morgan Geekie97%, Casey Mittelstadt14%
10.6 min/game · 3.17 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
BOSL1vs OTT0.44 xG
Elias Lindholm43%, David Pastrnak100%, JJ Peterka75%
11.3 min/game · 2.92 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
BOSL4vs OTT0.23 xG
Marat Khusnutdinov11%, Fraser Minten45%, James Hagens50%
9.6 min/game · 1.80 xGF/60 · P(intact) 82%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
BOSL2vs OTT0.23 xG
Sean Kuraly0.1%, Tanner Jeannot6.5%, Mark Kastelic13%
7.3 min/game · 2.00 xGF/60 · P(intact) 95%
- OTT 5v5 xGA/60 −11%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 3 of last 3
BOSPP1vs OTT0.08 xG
Hampus Lindholm16%, David Pastrnak100%, Pavel Zacha77%, Morgan Geekie97%, JJ Peterka75%
1.1 min/game · 5.29 xGF/60 · P(intact) 82%
- OTT shorthanded time +2%
- OTT PK xGA/60 −6%
- vs Linus Ullmark .891 (64% to start)
- Ullmark .807 on rebounds
- Together 2 of last 3
OTTL2vs BOS0.07 xG
Warren Foegele4.0%, Michael Amadio3.3%, Shane Pinto37%
7.9 min/game · 2.48 xGF/60 · P(intact) 23%
- BOS 5v5 xGA/60 +4%
- vs Jeremy Swayman .909 (86% to start)
- Swayman .848 on rebounds
- Together 2 of last 3
OTTL3vs BOS0.05 xG
Claude Giroux30%, Dylan Cozens90%, Ridly Greig15%
6.9 min/game · 1.80 xGF/60 · P(intact) 23%
- BOS 5v5 xGA/60 +4%
- vs Jeremy Swayman .909 (86% to start)
- Swayman .848 on rebounds
- Together 2 of last 3

WPG @ PIT

PITL1vs WPG0.63 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.1 min/game · 3.58 xGF/60 · P(intact) 95%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (57% to start)
- Skinner .807 on rebounds
- Together 3 of last 3
PITPP1vs WPG0.34 xG
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell82%, Tommy Novak11%, Egor Chinakhov48%
3.0 min/game · 9.42 xGF/60 · P(intact) 68%
- WPG shorthanded time −17%
- WPG PK xGA/60 +1%
- vs Stuart Skinner .887 (57% to start)
- Skinner .807 on rebounds
- Together 1 of last 3
WPGL1vs PIT0.31 xG
Mark Scheifele100%, Kyle Connor99%, Gabriel Vilardi80%
5.6 min/game · 3.10 xGF/60 · P(intact) 95%
- PIT 5v5 xGA/60 +7%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
PITL2vs WPG0.16 xG
Sidney Crosby100%, Bryan Rust86%, Rickard Rakell82%
13.9 min/game · 2.79 xGF/60 · P(intact) 23%
- WPG 5v5 xGA/60 +4%
- vs Stuart Skinner .887 (57% to start)
- Skinner .807 on rebounds
- Together 2 of last 3
WPGL2vs PIT0.12 xG
Nino Niederreiter4.0%, Adam Lowry5.7%, Cole Perfetti36%
8.1 min/game · 3.37 xGF/60 · P(intact) 23%
- PIT 5v5 xGA/60 +7%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
WPGPP1vs PIT0.10 xG
Jonathan Toews0.3%, Mark Scheifele100%, Josh Morrissey99%, Kyle Connor99%, Gabriel Vilardi80%
3.3 min/game · 8.21 xGF/60 · P(intact) 23%
- PIT shorthanded time −6%
- PIT PK xGA/60 −5%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
WPGL4vs PIT0.05 xG
Cole Koepke0.0%, Nikita Chibrikov9.6%, Brayden Yager19%
7.3 min/game · 3.07 xGF/60 · P(intact) 12%
- PIT 5v5 xGA/60 +7%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 1 of last 3
WPGL3vs PIT0.05 xG
Jonathan Toews0.3%, Isak Rosen14%, Brad Lambert15%
9.7 min/game · 2.32 xGF/60 · P(intact) 12%
- PIT 5v5 xGA/60 +7%
- vs Arturs Silovs .890 (85% to start)
- Silovs .767 on rebounds
- Together 1 of last 3

SJS @ DAL

DALL1vs SJS0.43 xG
Mikko Rantanen99%, Jason Robertson100%, Wyatt Johnston100%
5.3 min/game · 4.29 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
DALL2vs SJS0.20 xG
Jamie Benn22%, Sam Steel5.8%, Arttu Hyry4.0%
4.3 min/game · 2.92 xGF/60 · P(intact) 82%
- SJS 5v5 xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 2 of last 3
DALPP1vs SJS0.14 xG
Matt Duchene62%, Mikko Rantanen99%, Jason Robertson100%, Miro Heiskanen100%, Wyatt Johnston100%
3.5 min/game · 8.43 xGF/60 · P(intact) 23%
- SJS shorthanded time +12%
- SJS PK xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 2 of last 3
SJSL1vs DAL0.11 xG
Will Smith95%, Macklin Celebrini100%, Igor Chernyshov52%
11.3 min/game · 2.72 xGF/60 · P(intact) 23%
- DAL 5v5 xGA/60 −6%
- vs Jake Oettinger .900 (79% to start)
- Oettinger .848 on rebounds
- Together 2 of last 3
SJSL3vs DAL0.08 xG
Kiefer Sherwood60%, William Eklund81%, Michael Misa60%
10.4 min/game · 4.07 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −6%
- vs Jake Oettinger .900 (79% to start)
- Oettinger .848 on rebounds
- Together 1 of last 3
SJSL2vs DAL0.03 xG
Philipp Kurashev0.1%, Ty Dellandrea3.2%, Collin Graf28%
11.2 min/game · 1.49 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −6%
- vs Jake Oettinger .900 (79% to start)
- Oettinger .848 on rebounds
- Together 1 of last 3
SJSPP1vs DAL0.03 xG
Tyler Toffoli38%, Alexander Wennberg25%, Luca Cagnoni49%, Will Smith95%, Macklin Celebrini100%
4.0 min/game · 3.78 xGF/60 · P(intact) 12%
- DAL shorthanded time +0%
- DAL PK xGA/60 −7%
- vs Jake Oettinger .900 (79% to start)
- Oettinger .848 on rebounds
- Together 1 of last 3
SJSL4vs DAL0.03 xG
Barclay Goodrow0.1%, Zack Ostapchuk3.2%, Pavol Regenda3.2%
8.1 min/game · 1.63 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −6%
- vs Jake Oettinger .900 (79% to start)
- Oettinger .848 on rebounds
- Together 1 of last 3
DALL3vs SJS0.02 xG
Colin Blackwell0.1%, Radek Faksa0.1%, Oskar Bäck0.1%
3.5 min/game · 1.47 xGF/60 · P(intact) 23%
- SJS 5v5 xGA/60 +10%
- vs Yaroslav Askarov .884 (73% to start)
- Askarov .827 on rebounds
- Together 2 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.