Start / sit tools
NHL Stack Finder: Wednesday, Oct 14
Data updated:
Top 10 stacks
- #1DALPP1vs COL0.71 xG
Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
4.8 min/game · 10.65 xGF/60 · P(intact) 95%
- COL shorthanded time −1%
- COL PK xGA/60 −4%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- #2WSHL2vs MTL0.61 xG
Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%
8.5 min/game · 4.14 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- #3MTLPP1vs WSH0.60 xG
Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský100%, Ivan Demidov91%
3.6 min/game · 8.69 xGF/60 · P(intact) 95%
- WSH shorthanded time +2%
- WSH PK xGA/60 +22%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 3 of last 3
- #4WSHL3vs MTL0.45 xG
Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%
6.4 min/game · 4.06 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- #5WSHL1vs MTL0.40 xG
Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%
9.3 min/game · 2.46 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- #6WSHL4vs MTL0.37 xG
Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%
6.0 min/game · 3.51 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- #7COLPP1vs DAL0.34 xG
Nazem Kadri71%, Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
2.9 min/game · 7.69 xGF/60 · P(intact) 95%
- DAL shorthanded time +8%
- DAL PK xGA/60 −2%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 on rebounds
- Together 3 of last 3
- #8DALL1vs COL0.30 xG
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian19%
7.5 min/game · 2.97 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- #9WSHPP1vs MTL0.26 xG
Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%
1.9 min/game · 6.94 xGF/60 · P(intact) 95%
- MTL shorthanded time +5%
- MTL PK xGA/60 +18%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- #10MTLL4vs WSH0.25 xG
Josh Anderson10%, Jake Evans5.7%, Zachary Bolduc21%
7.2 min/game · 2.93 xGF/60 · P(intact) 68%
- WSH 5v5 xGA/60 +5%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
By game
MTL @ WSH
- WSHL2vs MTL0.61 xG
Jordan Kyrou80%, Aliaksei Protas59%, Ilya Protas44%
8.5 min/game · 4.14 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- MTLPP1vs WSH0.60 xG
Nick Suzuki100%, Cole Caufield100%, Lane Hutson99%, Juraj Slafkovský100%, Ivan Demidov91%
3.6 min/game · 8.69 xGF/60 · P(intact) 95%
- WSH shorthanded time +2%
- WSH PK xGA/60 +22%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 3 of last 3
- WSHL3vs MTL0.45 xG
Alex Ovechkin96%, Dylan Strome83%, Ryan Leonard66%
6.4 min/game · 4.06 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- WSHL1vs MTL0.40 xG
Boone Jenner21%, Anthony Beauvillier4.0%, Justin Sourdif17%
9.3 min/game · 2.46 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- WSHL4vs MTL0.37 xG
Tom Wilson94%, Alex Tuch94%, Pierre-Luc Dubois42%
6.0 min/game · 3.51 xGF/60 · P(intact) 95%
- MTL 5v5 xGA/60 +6%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- WSHPP1vs MTL0.26 xG
Alex Ovechkin96%, Tom Wilson94%, Dylan Strome83%, Jakob Chychrun99%, Pierre-Luc Dubois42%
1.9 min/game · 6.94 xGF/60 · P(intact) 95%
- MTL shorthanded time +5%
- MTL PK xGA/60 +18%
- vs Samuel Montembeault .872 (41% to start)
- Montembeault .845 on rebounds
- Together 1 of last 1
- MTLL4vs WSH0.25 xG
Josh Anderson10%, Jake Evans5.7%, Zachary Bolduc21%
7.2 min/game · 2.93 xGF/60 · P(intact) 68%
- WSH 5v5 xGA/60 +5%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
- MTLL2vs WSH0.22 xG
Alex Newhook26%, Juraj Slafkovský100%, Ivan Demidov91%
9.9 min/game · 1.89 xGF/60 · P(intact) 68%
- WSH 5v5 xGA/60 +5%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
- MTLL1vs WSH0.21 xG
Chris Kreider62%, Nick Suzuki100%, Cole Caufield100%
10.5 min/game · 1.75 xGF/60 · P(intact) 68%
- WSH 5v5 xGA/60 +5%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
- MTLL3vs WSH0.15 xG
Phillip Danault4.9%, Alexandre Texier4.9%, Kirby Dach12%
9.4 min/game · 1.39 xGF/60 · P(intact) 68%
- WSH 5v5 xGA/60 +5%
- vs Logan Thompson .912 (58% to start)
- Thompson .858 on rebounds
- Together 1 of last 3
DAL @ COL
- DALPP1vs COL0.71 xG
Mikko Rantanen99%, Roope Hintz84%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%
4.8 min/game · 10.65 xGF/60 · P(intact) 95%
- COL shorthanded time −1%
- COL PK xGA/60 −4%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- COLPP1vs DAL0.34 xG
Nazem Kadri71%, Gabriel Landeskog50%, Nathan MacKinnon100%, Martin Necas100%, Cale Makar100%
2.9 min/game · 7.69 xGF/60 · P(intact) 95%
- DAL shorthanded time +8%
- DAL PK xGA/60 −2%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 on rebounds
- Together 3 of last 3
- DALL1vs COL0.30 xG
Mikko Rantanen99%, Wyatt Johnston100%, Justin Hryckowian19%
7.5 min/game · 2.97 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- DALL4vs COL0.23 xG
Jamie Benn22%, Sam Steel5.8%, Arttu Hyry4.0%
5.7 min/game · 3.02 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- DALL3vs COL0.21 xG
Tyler Seguin22%, Roope Hintz84%, Jason Robertson100%
6.5 min/game · 2.43 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- DALL2vs COL0.21 xG
Radek Faksa0.1%, Oskar Bäck0.1%, Joel Kiviranta0.1%
6.6 min/game · 2.38 xGF/60 · P(intact) 95%
- COL 5v5 xGA/60 −7%
- vs Scott Wedgewood .921 (54% to start)
- Wedgewood .914 on rebounds
- Together 1 of last 1
- COLL1vs DAL0.10 xG
Gabriel Landeskog50%, Artturi Lehkonen57%, Nathan MacKinnon100%
7.9 min/game · 3.81 xGF/60 · P(intact) 23%
- DAL 5v5 xGA/60 −8%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 on rebounds
- Together 2 of last 3
- COLL2vs DAL0.06 xG
Nazem Kadri71%, Brock Nelson88%, Martin Necas100%
5.4 min/game · 3.21 xGF/60 · P(intact) 23%
- DAL 5v5 xGA/60 −8%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 on rebounds
- Together 2 of last 3
- COLL3vs DAL0.03 xG
Parker Kelly11%, Jack Drury5.6%, Logan O'Connor0.2%
4.5 min/game · 1.91 xGF/60 · P(intact) 23%
- DAL 5v5 xGA/60 −8%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 on rebounds
- Together 2 of last 3
- COLL4vs DAL0.02 xG
Valeri Nichushkin60%, Nicolas Roy4.9%, Ross Colton8.1%
4.9 min/game · 2.47 xGF/60 · P(intact) 12%
- DAL 5v5 xGA/60 −8%
- vs Casey DeSmith .907 (70% to start)
- DeSmith .802 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.