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NHL Stack Finder: Wednesday, Sep 30

Every forward line and first power-play unit on the Wednesday, Sep 30 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: NYI L1 (Schenn–Barzal–Ritchie) vs TOR.

Data updated: Oct 3, 10:34 AM ET

Stacks with a player who is

Top 10 stacks

#1NYIL1vs TOR0.66 xG
Brayden Schenn29%, Mathew Barzal83%, Calum Ritchie31%
10.2 min/game · 3.53 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
#2PITL2vs PHI0.52 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.2 min/game · 3.60 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
#3PITL1vs PHI0.51 xG
Sidney Crosby100%, Bryan Rust86%, Rickard Rakell82%
12.8 min/game · 2.79 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
#4NYIL3vs TOR0.50 xG
Anders Lee29%, Jean-Gabriel Pageau12%, Emil Heineman33%
9.7 min/game · 2.84 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
#5LAKL1vs COL0.49 xG
Trevor Moore9.1%, Quinton Byfield86%, Alex Laferriere68%
11.0 min/game · 3.08 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 3 of last 3
#6TORL3vs NYI0.46 xG
Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%
12.8 min/game · 3.09 xGF/60 · P(intact) 68%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 on rebounds
- Together 1 of last 3
#7NYIL2vs TOR0.44 xG
Bo Horvat91%, Simon Holmstrom16%, Victor Eklund37%
9.8 min/game · 2.47 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
#8COLL1vs LAK0.41 xG
Gabriel Landeskog50%, Artturi Lehkonen54%, Nathan MacKinnon100%
6.8 min/game · 3.78 xGF/60 · P(intact) 95%
- LAK 5v5 xGA/60 −8%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 3 of last 3
#9LAKL2vs COL0.39 xG
Anze Kopitar0.5%, Adrian Kempe98%, Artemi Panarin98%
9.2 min/game · 2.89 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 3 of last 3
#10PITL3vs PHI0.36 xG
Noel Acciari3.3%, Connor Dewar4.2%, Blake Lizotte0.1%
9.9 min/game · 2.56 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3

By game

PIT @ PHI

PITL2vs PHI0.52 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.2 min/game · 3.60 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PITL1vs PHI0.51 xG
Sidney Crosby100%, Bryan Rust86%, Rickard Rakell82%
12.8 min/game · 2.79 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PITL3vs PHI0.36 xG
Noel Acciari3.3%, Connor Dewar4.2%, Blake Lizotte0.1%
9.9 min/game · 2.56 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PITL4vs PHI0.33 xG
Anthony Mantha53%, Elmer Soderblom4.8%, Ben Kindel40%
8.4 min/game · 2.74 xGF/60 · P(intact) 95%
- PHI 5v5 xGA/60 −9%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PHIL1vs PIT0.32 xG
Sean Couturier9.2%, Luke Glendening0.0%, Garnet Hathaway4.8%
8.3 min/game · 2.53 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .890 (100% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
PHIL2vs PIT0.29 xG
Trevor Zegras86%, Tyson Foerster42%, Porter Martone91%
11.2 min/game · 2.05 xGF/60 · P(intact) 68%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .890 (100% to start)
- Silovs .767 on rebounds
- Together 1 of last 3
PHIL4vs PIT0.28 xG
Christian Dvorak16%, Travis Konecny92%, Alex Bump15%
9.4 min/game · 2.39 xGF/60 · P(intact) 68%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .890 (100% to start)
- Silovs .767 on rebounds
- Together 1 of last 3
PITPP1vs PHI0.27 xG
Evgeni Malkin82%, Sidney Crosby100%, Erik Karlsson95%, Bryan Rust86%, Rickard Rakell82%
2.1 min/game · 8.47 xGF/60 · P(intact) 95%
- PHI shorthanded time +9%
- PHI PK xGA/60 +0%
- vs Dan Vladar .903 (100% to start)
- Vladar .889 on rebounds
- Together 3 of last 3
PHIL3vs PIT0.23 xG
Carl Grundstrom0.1%, Denver Barkey15%, Jett Luchanko22%
10.7 min/game · 1.69 xGF/60 · P(intact) 68%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .890 (100% to start)
- Silovs .767 on rebounds
- Together 1 of last 3
PHIPP1vs PIT0.06 xG
Travis Konecny92%, Noah Cates18%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%
5.7 min/game · 5.70 xGF/60 · P(intact) 12%
- PIT shorthanded time +5%
- PIT PK xGA/60 −8%
- vs Arturs Silovs .890 (100% to start)
- Silovs .767 on rebounds
- Together 1 of last 3

LAK @ COL

LAKL1vs COL0.49 xG
Trevor Moore9.1%, Quinton Byfield86%, Alex Laferriere68%
11.0 min/game · 3.08 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 3 of last 3
COLL1vs LAK0.41 xG
Gabriel Landeskog50%, Artturi Lehkonen54%, Nathan MacKinnon100%
6.8 min/game · 3.78 xGF/60 · P(intact) 95%
- LAK 5v5 xGA/60 −8%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 3 of last 3
LAKL2vs COL0.39 xG
Anze Kopitar0.5%, Adrian Kempe98%, Artemi Panarin98%
9.2 min/game · 2.89 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 3 of last 3
COLPP1vs LAK0.34 xG
Nazem Kadri70%, Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
3.4 min/game · 7.40 xGF/60 · P(intact) 82%
- LAK shorthanded time −10%
- LAK PK xGA/60 −9%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 2 of last 3
COLL3vs LAK0.24 xG
Nazem Kadri70%, Brock Nelson87%, Martin Necas100%
5.4 min/game · 3.21 xGF/60 · P(intact) 82%
- LAK 5v5 xGA/60 −8%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 2 of last 3
LAKPP1vs COL0.22 xG
Anze Kopitar0.5%, Adrian Kempe98%, Artemi Panarin98%, Alex Laferriere68%, Brandt Clarke96%
2.2 min/game · 7.51 xGF/60 · P(intact) 95%
- COL shorthanded time +2%
- COL PK xGA/60 −12%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 3 of last 3
COLL2vs LAK0.14 xG
Parker Kelly11%, Jack Drury5.6%, Logan O'Connor0.2%
4.8 min/game · 1.77 xGF/60 · P(intact) 95%
- LAK 5v5 xGA/60 −8%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 3 of last 3
LAKL3vs COL0.06 xG
Joel Armia3.3%, Scott Laughton5.6%, Jared Wright0.0%
6.1 min/game · 2.59 xGF/60 · P(intact) 23%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 2 of last 3
LAKL4vs COL0.03 xG
Mathieu Joseph0.1%, Jeff Malott0.0%, Samuel Helenius3.2%
6.6 min/game · 2.24 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (100% to start)
- Blackwood .833 on transition shots
- Together 1 of last 3
COLL4vs LAK0.02 xG
Valeri Nichushkin60%, Nicolas Roy4.9%, Ross Colton8.1%
4.9 min/game · 2.47 xGF/60 · P(intact) 12%
- LAK 5v5 xGA/60 −8%
- vs Darcy Kuemper .888 (100% to start)
- Kuemper .864 on rebounds
- Together 1 of last 3

NYI @ TOR

NYIL1vs TOR0.66 xG
Brayden Schenn29%, Mathew Barzal83%, Calum Ritchie31%
10.2 min/game · 3.53 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
NYIL3vs TOR0.50 xG
Anders Lee29%, Jean-Gabriel Pageau12%, Emil Heineman33%
9.7 min/game · 2.84 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
TORL3vs NYI0.46 xG
Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%
12.8 min/game · 3.09 xGF/60 · P(intact) 68%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 on rebounds
- Together 1 of last 3
NYIL2vs TOR0.44 xG
Bo Horvat91%, Simon Holmstrom16%, Victor Eklund37%
9.8 min/game · 2.47 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
NYIPP1vs TOR0.23 xG
Brayden Schenn29%, Bo Horvat91%, Mathew Barzal83%, Matthew Schaefer100%, Victor Eklund37%
2.6 min/game · 4.73 xGF/60 · P(intact) 95%
- TOR shorthanded time +8%
- TOR PK xGA/60 +15%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
NYIL4vs TOR0.23 xG
Casey Cizikas0.1%, Ondrej Palat0.1%, Liam Foudy0.0%
7.7 min/game · 1.62 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Anthony Stolarz .895 (100% to start)
- Stolarz .865 on other shots
- Together 1 of last 1
TORL1vs NYI0.14 xG
John Tavares96%, William Nylander99%, Easton Cowan50%
13.7 min/game · 2.57 xGF/60 · P(intact) 23%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 on rebounds
- Together 2 of last 3
TORL2vs NYI0.09 xG
Max Domi5.8%, Nick Robertson24%, Matthew Knies94%
9.6 min/game · 2.49 xGF/60 · P(intact) 23%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 on rebounds
- Together 2 of last 3
TORPP1vs NYI0.06 xG
John Tavares96%, Oliver Ekman-Larsson43%, William Nylander99%, Matthew Knies94%, Easton Cowan50%
2.0 min/game · 6.65 xGF/60 · P(intact) 23%
- NYI shorthanded time −12%
- NYI PK xGA/60 +15%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 on rebounds
- Together 2 of last 3
TORL4vs NYI0.04 xG
Steven Lorentz0.0%, Matias Maccelli14%, Luke Haymes0.0%
10.7 min/game · 1.97 xGF/60 · P(intact) 12%
- NYI 5v5 xGA/60 +7%
- vs Ilya Sorokin .906 (100% to start)
- Sorokin .880 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.