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Fri, Apr 3, 2026

Archived sheet

2 of 2 games had posted player lines

Archived Anytime goal

2 games · 40 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)

33%

Owen Tippett
Owen Tippett PHI · F

Line

0.5

Proj

0.4

P(over)

33%

Line

0.5

Proj

0.4

P(over)

30%

Mathew Barzal
Mathew Barzal NYI · F

Line

0.5

Proj

0.3

P(over)

29%

Noah Cates
Noah Cates PHI · F

Line

0.5

Proj

0.3

P(over)

28%

Line

0.5

Proj

0.3

P(over)

27%

Bo Horvat
Bo Horvat NYI · F

Line

0.5

Proj

0.3

P(over)

26%

Emil Heineman
Emil Heineman NYI · F

Line

0.5

Proj

0.3

P(over)

24%

Line

0.5

Proj

0.3

P(over)

23%

Trevor Zegras
Trevor Zegras PHI · F

Line

0.5

Proj

0.3

P(over)

23%

Line

0.5

Proj

0.2

P(over)

19%

Line

0.5

Proj

0.2

P(over)

18%

Anders Lee
Anders Lee NYI · F

Line

0.5

Proj

0.2

P(over)

18%

Line

0.5

Proj

0.2

P(over)

15%

Calum Ritchie
Calum Ritchie NYI · F

Line

0.5

Proj

0.1

P(over)

14%

Line

0.5

Proj

0.1

P(over)

13%

Line

0.5

Proj

0.1

P(over)

7%

Adam Pelech
Adam Pelech NYI · D

Line

0.5

Proj

0.1

P(over)

7%

Line

0.5

Proj

0.1

P(over)

5%

Ryan Pulock
Ryan Pulock NYI · D

Line

0.5

Proj

0.0

P(over)

4%

Jordan Kyrou
Jordan Kyrou STL · F

Line

0.5

Proj

0.4

P(over)

34%

Line

0.5

Proj

0.4

P(over)

33%

Leo Carlsson
Leo Carlsson ANA · F

Line

0.5

Proj

0.4

P(over)

32%

Line

0.5

Proj

0.4

P(over)

32%

Line

0.5

Proj

0.4

P(over)

31%

Troy Terry
Troy Terry ANA · F

Line

0.5

Proj

0.3

P(over)

28%

Chris Kreider
Chris Kreider ANA · F

Line

0.5

Proj

0.3

P(over)

24%

Robert Thomas
Robert Thomas STL · F

Line

0.5

Proj

0.2

P(over)

21%

Line

0.5

Proj

0.2

P(over)

21%

Ryan Poehling
Ryan Poehling ANA · F

Line

0.5

Proj

0.2

P(over)

16%

Alex Killorn
Alex Killorn ANA · F

Line

0.5

Proj

0.2

P(over)

16%

Line

0.5

Proj

0.2

P(over)

15%

John Carlson
John Carlson ANA · D

Line

0.5

Proj

0.1

P(over)

13%

Line

0.5

Proj

0.1

P(over)

12%

Line

0.5

Proj

0.1

P(over)

12%

Line

0.5

Proj

0.1

P(over)

12%

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.1

P(over)

11%

Jacob Trouba
Jacob Trouba ANA · D

Line

0.5

Proj

0.1

P(over)

6%

Cam Fowler
Cam Fowler STL · D

Line

0.5

Proj

0.0

P(over)

4%

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.