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Fri, Oct 17, 2025

Archived sheet

4 of 4 games had posted player lines

Archived Anytime goal

4 games · 51 props. These are the lines as they stood on that date — not current, and not a forecast for any game being played now.

The model has not beaten the Pinnacle closing line: shots-on-goal ROI −0.0709 [−0.0932, −0.0467] per unit over 7,171 bets in a 2025-26 backtest of 512 games. How this was measured

Line is the book's posted threshold · Proj is the model's mean · P(over) is the modelled probability of finishing above the line. Each bar is P(G = k) — the whole distribution, not a pick. Research context, not a recommendation.

Line

0.5

Proj

0.4

P(over)

32%

Dylan Larkin
Dylan Larkin DET · F

Line

0.5

Proj

0.4

P(over)

29%

Brandon Hagel
Brandon Hagel TBL · F

Line

0.5

Proj

0.3

P(over)

28%

Jake Guentzel
Jake Guentzel TBL · F

Line

0.5

Proj

0.3

P(over)

27%

Line

0.5

Proj

0.3

P(over)

26%

Marco Kasper
Marco Kasper DET · F

Line

0.5

Proj

0.3

P(over)

24%

Line

0.5

Proj

0.3

P(over)

22%

Brayden Point
Brayden Point TBL · F

Line

0.5

Proj

0.2

P(over)

21%

Patrick Kane
Patrick Kane DET · F

Line

0.5

Proj

0.2

P(over)

21%

Line

0.5

Proj

0.2

P(over)

21%

Line

0.5

Proj

0.2

P(over)

16%

Moritz Seider
Moritz Seider DET · D

Line

0.5

Proj

0.1

P(over)

12%

Victor Hedman
Victor Hedman TBL · D

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.4

P(over)

36%

Tom Wilson
Tom Wilson WSH · F

Line

0.5

Proj

0.4

P(over)

35%

Matt Boldy
Matt Boldy MIN · F

Line

0.5

Proj

0.4

P(over)

33%

Dylan Strome
Dylan Strome WSH · F

Line

0.5

Proj

0.4

P(over)

31%

Line

0.5

Proj

0.3

P(over)

28%

Line

0.5

Proj

0.3

P(over)

27%

Alex Ovechkin
Alex Ovechkin WSH · F

Line

0.5

Proj

0.3

P(over)

24%

Line

0.5

Proj

0.3

P(over)

24%

Line

0.5

Proj

0.3

P(over)

23%

John Carlson
John Carlson WSH · D

Line

0.5

Proj

0.2

P(over)

20%

Marco Rossi
Marco Rossi MIN · F

Line

0.5

Proj

0.2

P(over)

20%

Line

0.5

Proj

0.2

P(over)

19%

Line

0.5

Proj

0.2

P(over)

19%

Ryan Hartman
Ryan Hartman MIN · F

Line

0.5

Proj

0.2

P(over)

16%

Ryan Donato
Ryan Donato CHI · F

Line

0.5

Proj

0.3

P(over)

28%

Frank Nazar
Frank Nazar CHI · F

Line

0.5

Proj

0.3

P(over)

27%

Ilya Mikheyev
Ilya Mikheyev CHI · F

Line

0.5

Proj

0.3

P(over)

27%

Brock Boeser
Brock Boeser VAN · F

Line

0.5

Proj

0.3

P(over)

26%

Conor Garland
Conor Garland VAN · F

Line

0.5

Proj

0.3

P(over)

26%

Evander Kane
Evander Kane VAN · F

Line

0.5

Proj

0.3

P(over)

23%

Jake DeBrusk
Jake DeBrusk VAN · F

Line

0.5

Proj

0.3

P(over)

23%

Connor Bedard
Connor Bedard CHI · F

Line

0.5

Proj

0.3

P(over)

22%

Line

0.5

Proj

0.2

P(over)

22%

Filip Chytil
Filip Chytil VAN · F

Line

0.5

Proj

0.2

P(over)

22%

Line

0.5

Proj

0.2

P(over)

20%

Line

0.5

Proj

0.2

P(over)

15%

Sam Rinzel
Sam Rinzel CHI · D

Line

0.5

Proj

0.2

P(over)

15%

Line

0.5

Proj

0.1

P(over)

13%

Quinn Hughes
Quinn Hughes VAN · D

Line

0.5

Proj

0.1

P(over)

12%

Filip Hronek
Filip Hronek VAN · D

Line

0.5

Proj

0.1

P(over)

6%

Line

0.5

Proj

0.1

P(over)

5%

Line

0.5

Proj

0.5

P(over)

38%

Line

0.5

Proj

0.4

P(over)

33%

Line

0.5

Proj

0.4

P(over)

32%

Nick Schmaltz
Nick Schmaltz UTA · F

Line

0.5

Proj

0.4

P(over)

31%

Logan Cooley
Logan Cooley UTA · F

Line

0.5

Proj

0.4

P(over)

31%

JJ Peterka
JJ Peterka UTA · F

Line

0.5

Proj

0.3

P(over)

24%

Line

0.5

Proj

0.1

P(over)

13%

NHL · Shots on goal

Distributions, not picks.

OddPuck projects a full shots-on-goal distribution for every skater on the slate — P(SOG = k) against the book's posted line — from five seasons of play-by-play. No units, no plays of the day. You read the shape and draw your own conclusions.

They were measured against the Pinnacle closing line, which they do not beat — shots-on-goal ROI −0.0709 [−0.0932, −0.0467] per unit over 7,171 bets in a 2025-26 backtest of 512 games, and the model's disagreement with the market carries no signal a paired test can separate from betting the other side instead. That is the measured result, reported rather than buried.

The signature — P(SOG = k) vs the line

Bars right of the line clear it; each height is the modelled probability. Positional, never a verdict.