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Model 5 · Predicted Odds

Heuristic Box Score Driven
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Pick 1

Top candidate by recent + season-to-date stats

Player Predicted Odds (%)
Tage Thompson 13.53%
Sam Reinhart 12.42%
Nazem Kadri 12.16%
Dylan Larkin 12.08%
Clayton Keller 11.27%
Jake Neighbours 10.66%
Pavel Buchnevich 9.86%
Teuvo Teräväinen 9.34%
Brayden Schenn 9.31%
Patrick Kane 8.81%
Tim Stützle 8.42%
Connor Bedard 6.82%
Luke Kunin 6.61%
Dylan Cozens 6.15%
Mikael Backlund 5.07%

Pick 2

Runner-up based on same heuristic

Player Predicted Odds (%)
Ryan Donato 11.22%
Shane Pinto 10.66%
Jason Dickinson 8.20%
Michael Amadio 7.59%
Andrew Copp 7.54%
Michael Rasmussen 7.08%
Justin Faulk 7.01%
Mathieu Joseph 6.67%
Evan Rodrigues 6.35%
Mason Appleton 5.88%
Eetu Luostarinen 5.83%
Anton Lundell 5.17%
Morgan Frost 5.05%
Connor Zary 4.99%
Connor Murphy 4.33%

Pick 3

Third-best option by the heuristic

Player Predicted Odds (%)
Seth Jones 10.40%
Rasmus Dahlin 10.33%
James van Riemsdyk 9.05%
Noah Gregor 6.85%
Ryan Lomberg 6.50%
Brandon Tanev 6.23%
Joey Anderson 5.70%
Zach Benson 5.53%
Michael Kesselring 4.63%
Artem Zub 4.63%
Niko Mikkola 4.60%
Jordan Spence 4.33%
Daniil Miromanov 4.33%
Travis Hamonic 4.33%
Nate Schmidt 3.36%

About Model 5

Model 5 is a simple heuristic that selects the player with the strongest recent and season-to-date statistics. It doesn’t use advanced machine learning, but it provides a clear baseline for comparison against more sophisticated models.

This write-up section can be expanded with methodology, assumptions, or even links to visualizations or reports. Employers can see how the reasoning behind each model is documented.