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Fri, Jan 9, 2026

Archived sheet

3 of 3 games had posted player lines

Archived Power-play points

3 games · 46 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(PPP = k) — the whole distribution, not a pick. Research context, not a recommendation.

Line

0.5

Proj

0.4

P(over)

32%

Connor Bedard
Connor Bedard CHI · F

Line

0.5

Proj

0.2

P(over)

19%

Ryan Greene
Ryan Greene CHI · F

Line

0.5

Proj

0.2

P(over)

19%

Line

0.5

Proj

0.2

P(over)

19%

Dylan Strome
Dylan Strome WSH · F

Line

0.5

Proj

0.2

P(over)

15%

Ryan Leonard
Ryan Leonard WSH · F

Line

0.5

Proj

0.2

P(over)

15%

Line

0.5

Proj

0.2

P(over)

15%

Ryan Donato
Ryan Donato CHI · F

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.1

P(over)

10%

Line

0.5

Proj

0.1

P(over)

9%

Alex Ovechkin
Alex Ovechkin WSH · F

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

6%

Line

0.5

Proj

0.1

P(over)

6%

John Carlson
John Carlson WSH · D

Line

0.5

Proj

0.1

P(over)

5%

Line

0.5

Proj

0.2

P(over)

18%

Line

0.5

Proj

0.2

P(over)

14%

Kevin Fiala
Kevin Fiala LAK · F

Line

0.5

Proj

0.2

P(over)

14%

Kyle Connor
Kyle Connor WPG · F

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.1

P(over)

10%

Brandt Clarke
Brandt Clarke LAK · D

Line

0.5

Proj

0.1

P(over)

9%

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

8%

Adrian Kempe
Adrian Kempe LAK · F

Line

0.5

Proj

0.1

P(over)

6%

Cole Perfetti
Cole Perfetti WPG · F

Line

0.5

Proj

0.1

P(over)

5%

Line

0.5

Proj

0.1

P(over)

5%

Drew Doughty
Drew Doughty LAK · D

Line

0.5

Proj

0.0

P(over)

5%

Line

0.5

Proj

0.2

P(over)

18%

Line

0.5

Proj

0.1

P(over)

13%

Nick Schmaltz
Nick Schmaltz UTA · F

Line

0.5

Proj

0.1

P(over)

11%

Line

0.5

Proj

0.1

P(over)

10%

JJ Peterka
JJ Peterka UTA · F

Line

0.5

Proj

0.1

P(over)

10%

Sean Durzi
Sean Durzi UTA · D

Line

0.5

Proj

0.1

P(over)

9%

Line

0.5

Proj

0.1

P(over)

9%

Robert Thomas
Robert Thomas STL · F

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

8%

Line

0.5

Proj

0.1

P(over)

7%

Lawson Crouse
Lawson Crouse UTA · F

Line

0.5

Proj

0.1

P(over)

7%

Line

0.5

Proj

0.1

P(over)

6%

Cam Fowler
Cam Fowler STL · D

Line

0.5

Proj

0.1

P(over)

5%

Line

0.5

Proj

0.1

P(over)

5%

Line

0.5

Proj

0.1

P(over)

5%

Jordan Kyrou
Jordan Kyrou STL · F

Line

0.5

Proj

0.0

P(over)

5%

Justin Faulk
Justin Faulk STL · D

Line

0.5

Proj

0.0

P(over)

5%

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.