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Wed, Oct 8, 2025

Archived sheet

1 of 4 games had posted player lines

Archived Shots on goal

4 games · 10 players · 6 posted SOG lines. 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

4 games · 10 players · 6 posted SOG lines · sorted by projection

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(SOG = k) — the whole distribution, not a pick. Research context, not a recommendation.

No props in this market for this game.

No props in this market for this game.

No props in this market for this game.

Kevin Fiala
Kevin Fiala LAK · F

Line

2.5

Proj

2.7

P(over)

50%

Adrian Kempe
Adrian Kempe LAK · F

Line

2.5

Proj

2.4

P(over)

43%

Line

1.5

Proj

2.1

P(over)

60%

Line

1.5

Proj

2.0

P(over)

57%

Trevor Moore
Trevor Moore LAK · F

Line

1.5

Proj

1.8

P(over)

51%

Line

1.5

Proj

1.5

P(over)

42%

Anze Kopitar
Anze Kopitar LAK · F

No line posted.

Drew Doughty
Drew Doughty LAK · D

No line posted.

No line posted.

No line posted.

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.