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NHL Stack Finder: Monday, Oct 19
Data updated:
Top 10 stacks
- #1SJSPP1vs TOR0.85 xG
Alexander Wennberg25%, Luca Cagnoni56%, Will Smith95%, Macklin Celebrini100%, Igor Chernyshov52%
3.7 min/game · 11.46 xGF/60 · P(intact) 95%
- TOR shorthanded time +2%
- TOR PK xGA/60 +14%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- #2TORPP1vs SJS0.67 xG
John Tavares96%, William Nylander99%, Darren Raddysh99%, Auston Matthews99%, Kirill Marchenko98%
4.7 min/game · 7.84 xGF/60 · P(intact) 95%
- SJS shorthanded time +16%
- SJS PK xGA/60 +5%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- #3PITL1vs UTA0.59 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.6 min/game · 3.63 xGF/60 · P(intact) 95%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .898 (94% to start)
- Vejmelka .740 on rebounds
- Together 3 of last 3
- #4UTAL3vs PIT0.56 xG
Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
9.0 min/game · 4.16 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- #5NYRL2vs ANA0.56 xG
J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%
8.9 min/game · 3.59 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- #6TORL1vs SJS0.51 xG
Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%
10.1 min/game · 2.75 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- #7PITL2vs UTA0.50 xG
Sidney Crosby100%, Rickard Rakell83%, Nick Robertson28%
10.6 min/game · 3.55 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .898 (94% to start)
- Vejmelka .740 on rebounds
- Together 2 of last 3
- #8NYRL1vs ANA0.49 xG
Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%
10.8 min/game · 2.64 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- #9UTAPP1vs PIT0.48 xG
Nick Schmaltz94%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%
3.3 min/game · 9.56 xGF/60 · P(intact) 95%
- PIT shorthanded time −2%
- PIT PK xGA/60 −9%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- #10UTAL1vs PIT0.47 xG
Vincent Trocheck88%, Nick Schmaltz94%, Clayton Keller100%
11.0 min/game · 2.86 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
By game
ANA @ NYR
- NYRL2vs ANA0.56 xG
J.T. Miller92%, Oliver Bjorkstrand20%, Pavel Dorofeyev92%
8.9 min/game · 3.59 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- NYRL1vs ANA0.49 xG
Mika Zibanejad98%, Alexis Lafrenière82%, Gabe Perreault53%
10.8 min/game · 2.64 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- ANAL1vs NYR0.43 xG
Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke94%
10.5 min/game · 2.89 xGF/60 · P(intact) 95%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .912 (77% to start)
- Shesterkin .846 on rebounds
- Together 3 of last 3
- ANAL2vs NYR0.36 xG
A.J. Greer7.5%, Cutter Gauthier98%, Leo Carlsson94%
9.9 min/game · 3.57 xGF/60 · P(intact) 68%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .912 (77% to start)
- Shesterkin .846 on rebounds
- Together 1 of last 3
- NYRL3vs ANA0.34 xG
Eeli Tolvanen35%, Will Cuylle64%, Noah Laba11%
8.0 min/game · 2.43 xGF/60 · P(intact) 95%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- NYRPP1vs ANA0.24 xG
Mika Zibanejad98%, J.T. Miller92%, Adam Fox99%, Pavel Dorofeyev92%, Alexis Lafrenière82%
2.3 min/game · 6.34 xGF/60 · P(intact) 95%
- ANA shorthanded time −3%
- ANA PK xGA/60 −3%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 3 of last 3
- ANAL4vs NYR0.23 xG
Frank Vatrano6.4%, Ryan Poehling6.7%, Nikita Nesterenko4.8%
7.8 min/game · 2.86 xGF/60 · P(intact) 68%
- NYR 5v5 xGA/60 −3%
- vs Igor Shesterkin .912 (77% to start)
- Shesterkin .846 on rebounds
- Together 1 of last 3
- NYRL4vs ANA0.15 xG
Joseph Veleno4.1%, Tye Kartye7.2%, Jaroslav Chmelar3.2%
5.3 min/game · 1.87 xGF/60 · P(intact) 82%
- ANA 5v5 xGA/60 +1%
- vs Lukas Dostal .889 (90% to start)
- Dostal .875 on cycle shots
- Together 2 of last 3
- ANAPP1vs NYR0.06 xG
Alex Killorn5.1%, Jackson LaCombe98%, Mason McTavish51%, Cutter Gauthier98%, Beckett Sennecke94%
2.8 min/game · 6.06 xGF/60 · P(intact) 23%
- NYR shorthanded time −3%
- NYR PK xGA/60 +7%
- vs Igor Shesterkin .912 (77% to start)
- Shesterkin .846 on rebounds
- Together 2 of last 3
COL @ PHI
- COLPP1vs PHI0.33 xG
Nazem Kadri71%, Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
2.7 min/game · 7.69 xGF/60 · P(intact) 95%
- PHI shorthanded time +2%
- PHI PK xGA/60 −1%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 3 of last 3
- PHIPP1vs COL0.28 xG
Travis Konecny92%, Trevor Zegras86%, Jamie Drysdale55%, Tyson Foerster42%, Matvei Michkov86%
4.2 min/game · 7.25 xGF/60 · P(intact) 68%
- COL shorthanded time −5%
- COL PK xGA/60 −13%
- vs Mackenzie Blackwood .902 (63% to start)
- Blackwood .833 on transition shots
- Together 1 of last 3
- COLL1vs PHI0.10 xG
Gabriel Landeskog50%, Artturi Lehkonen57%, Nathan MacKinnon100%
7.9 min/game · 3.81 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −8%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- COLL2vs PHI0.06 xG
Nazem Kadri71%, Brock Nelson88%, Martin Necas100%
5.4 min/game · 3.21 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −8%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- PHIL1vs COL0.04 xG
Sean Couturier9.2%, Noel Acciari3.3%, Carl Grundstrom0.1%
6.3 min/game · 1.91 xGF/60 · P(intact) 23%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (63% to start)
- Blackwood .833 on transition shots
- Together 2 of last 3
- PHIL2vs COL0.04 xG
Noah Cates18%, Tyson Foerster42%, Matvei Michkov86%
7.9 min/game · 2.82 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (63% to start)
- Blackwood .833 on transition shots
- Together 1 of last 3
- COLL3vs PHI0.03 xG
Parker Kelly11%, Jack Drury5.6%, Logan O'Connor0.2%
4.5 min/game · 1.91 xGF/60 · P(intact) 23%
- PHI 5v5 xGA/60 −8%
- vs Joseph Woll .901 (52% to start)
- Woll .883 on rebounds
- Together 2 of last 3
- PHIL3vs COL0.03 xG
Christian Dvorak16%, Travis Konecny92%, Porter Martone90%
6.6 min/game · 2.50 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (63% to start)
- Blackwood .833 on transition shots
- Together 1 of last 3
- PHIL4vs COL0.01 xG
Owen Tippett78%, Trevor Zegras86%, Alex Bump15%
4.7 min/game · 1.83 xGF/60 · P(intact) 12%
- COL 5v5 xGA/60 −7%
- vs Mackenzie Blackwood .902 (63% to start)
- Blackwood .833 on transition shots
- Together 1 of last 3
SJS @ TOR
- SJSPP1vs TOR0.85 xG
Alexander Wennberg25%, Luca Cagnoni56%, Will Smith95%, Macklin Celebrini100%, Igor Chernyshov52%
3.7 min/game · 11.46 xGF/60 · P(intact) 95%
- TOR shorthanded time +2%
- TOR PK xGA/60 +14%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- TORPP1vs SJS0.67 xG
John Tavares96%, William Nylander99%, Darren Raddysh99%, Auston Matthews99%, Kirill Marchenko98%
4.7 min/game · 7.84 xGF/60 · P(intact) 95%
- SJS shorthanded time +16%
- SJS PK xGA/60 +5%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- TORL1vs SJS0.51 xG
Jack Roslovic34%, Auston Matthews99%, Kirill Marchenko98%
10.1 min/game · 2.75 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- SJSL1vs TOR0.46 xG
Mason Marchment47%, Will Smith95%, Macklin Celebrini100%
10.6 min/game · 2.18 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- SJSL3vs TOR0.37 xG
Tyler Toffoli38%, Igor Chernyshov52%, Michael Misa60%
7.3 min/game · 2.55 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- SJSL2vs TOR0.36 xG
Alexander Wennberg25%, Collin Graf28%, Ivar Stenberg82%
10.2 min/game · 1.76 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- TORL3vs SJS0.33 xG
Colton Sissons3.3%, Nick Paul8.1%, Easton Cowan52%
6.6 min/game · 2.74 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- TORL2vs SJS0.27 xG
John Tavares96%, William Nylander99%, Gavin McKenna94%
7.8 min/game · 1.90 xGF/60 · P(intact) 95%
- SJS 5v5 xGA/60 +6%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 3 of last 3
- SJSL4vs TOR0.22 xG
Barclay Goodrow0.1%, Kiefer Sherwood59%, Zack Ostapchuk3.2%
6.7 min/game · 1.64 xGF/60 · P(intact) 95%
- TOR 5v5 xGA/60 +12%
- vs Sergei Bobrovsky .877 (66% to start)
- Bobrovsky .738 on rebounds
- Together 1 of last 1
- TORL4vs SJS0.15 xG
Teddy Blueger4.8%, Brandon Duhaime3.2%, Bo Groulx
5.7 min/game · 1.70 xGF/60 · P(intact) 82%
- SJS 5v5 xGA/60 +6%
- vs Yaroslav Askarov .884 (58% to start)
- Askarov .827 on rebounds
- Together 2 of last 3
PIT @ UTA
- PITL1vs UTA0.59 xG
Evgeni Malkin82%, Tommy Novak11%, Egor Chinakhov48%
10.6 min/game · 3.63 xGF/60 · P(intact) 95%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .898 (94% to start)
- Vejmelka .740 on rebounds
- Together 3 of last 3
- UTAL3vs PIT0.56 xG
Anders Lee29%, Dylan Guenther99%, Logan Cooley94%
9.0 min/game · 4.16 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- PITL2vs UTA0.50 xG
Sidney Crosby100%, Rickard Rakell83%, Nick Robertson28%
10.6 min/game · 3.55 xGF/60 · P(intact) 82%
- UTA 5v5 xGA/60 −4%
- vs Karel Vejmelka .898 (94% to start)
- Vejmelka .740 on rebounds
- Together 2 of last 3
- UTAPP1vs PIT0.48 xG
Nick Schmaltz94%, Clayton Keller100%, Mikhail Sergachev98%, Dylan Guenther99%, Logan Cooley94%
3.3 min/game · 9.56 xGF/60 · P(intact) 95%
- PIT shorthanded time −2%
- PIT PK xGA/60 −9%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 3 of last 3
- UTAL1vs PIT0.47 xG
Vincent Trocheck88%, Nick Schmaltz94%, Clayton Keller100%
11.0 min/game · 2.86 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- UTAL4vs PIT0.39 xG
Kevin Stenlund0.1%, Michael Carcone5.0%, Daniil But21%
8.6 min/game · 2.97 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- UTAL2vs PIT0.38 xG
Lawson Crouse36%, Barrett Hayton11%, Jack McBain17%
9.1 min/game · 2.74 xGF/60 · P(intact) 82%
- PIT 5v5 xGA/60 +4%
- vs Arturs Silovs .888 (92% to start)
- Silovs .767 on rebounds
- Together 2 of last 3
- PITPP1vs UTA0.07 xG
Sidney Crosby100%, Erik Karlsson95%, Rickard Rakell83%, Tommy Novak11%, Egor Chinakhov48%
3.4 min/game · 9.42 xGF/60 · P(intact) 12%
- UTA shorthanded time −6%
- UTA PK xGA/60 −1%
- vs Karel Vejmelka .898 (94% to start)
- Vejmelka .740 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.