Start / sit tools
NHL Stack Finder: Tuesday, Nov 24
Data updated:
Top 10 stacks
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
Matchup factors →Tomas Hertl84%, Victor Olofsson15%, Trevor Connelly34%
Matchup factors →Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
Matchup factors →Mark Stone93%, Tomas Hertl84%, Shea Theodore92%, Jack Eichel99%, Mitch Marner99%
Matchup factors →Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
Matchup factors →William Karlsson24%, Mitch Marner99%, Brett Howden16%
Matchup factors →Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%
Matchup factors →Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%
Matchup factors →Mathieu Joseph3.2%, Alex Formenton9.7%, Owen Michaels5.7%
Matchup factors →Kasperi Kapanen12%, Max Jones0.1%, Colton Dach11%
Matchup factors →
By game
VGK @ EDM
Leon Draisaitl100%, Connor McDavid100%, Vasily Podkolzin78%
13.2 min/game · 4.18 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (49% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .28
Tomas Hertl84%, Victor Olofsson15%, Trevor Connelly34%
7.3 min/game · 4.39 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +2%
- vs Tristan Jarry .878 (49% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
Mark Stone93%, Ivan Barbashev68%, Jack Eichel99%
9.5 min/game · 3.36 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +2%
- vs Tristan Jarry .878 (49% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
- DK correlation .28
Mark Stone93%, Tomas Hertl84%, Shea Theodore92%, Jack Eichel99%, Mitch Marner99%
3.0 min/game · 7.83 xGF/60 · P(intact) 95%
- EDM shorthanded time −15%
- EDM PK xGA/60 +21%
- vs Tristan Jarry .878 (49% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
- DK correlation .18
Leon Draisaitl100%, Kasperi Kapanen12%, Connor McDavid100%, Evan Bouchard100%, Vasily Podkolzin78%
3.7 min/game · 8.43 xGF/60 · P(intact) 82%
- VGK shorthanded time +7%
- VGK PK xGA/60 −7%
- vs Carter Hart .889 (49% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .21
William Karlsson24%, Mitch Marner99%, Brett Howden16%
9.6 min/game · 2.48 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +2%
- vs Tristan Jarry .878 (49% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
- DK correlation .27
Trent Frederic4.0%, Isaac Howard30%, Josh Samanski3.2%
5.3 min/game · 3.23 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (49% to start)
- Hart .880 on other shots
- Together 2 of last 3
- DK correlation .27
Nic Dowd3.2%, Marc Gatcomb5.7%, Braeden Bowman16%
5.7 min/game · 2.16 xGF/60 · P(intact) 95%
- EDM 5v5 xGA/60 +2%
- vs Tristan Jarry .878 (49% to start)
- Jarry .833 on rebounds
- Together 3 of last 3
Mathieu Joseph3.2%, Alex Formenton9.7%, Owen Michaels5.7%
10.1 min/game · 1.65 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (49% to start)
- Hart .880 on other shots
- Together 2 of last 3
Kasperi Kapanen12%, Max Jones0.1%, Colton Dach11%
8.0 min/game · 1.34 xGF/60 · P(intact) 82%
- VGK 5v5 xGA/60 −12%
- vs Carter Hart .889 (49% to start)
- Hart .880 on other shots
- 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.