Slate K Model — Sharp Reference Layer
by Fearhannibal · MLB · 2 followers
#21 of 86 MLB models
Market-anchored MLB strikeout prop model that de-vigs sharp reference prices and shifts a Poisson-binomial distribution to detect value across soft books.
+19.4%
Profit · this season
- Record
- 23–13
- Units
- +7.0u
- Win rate
- 63.9%
- Streak
- –
Last 5WLLLL
Follow Slate K Model — Sharp Reference Layer in the Snapp appRecent results
- Blake Snell under 6.5 strikeoutsMilwaukee Brewers @ Los Angeles Dodgers 10/14/2026 · −122 · Oct 14Lost
- Logan Henderson over 4.5 strikeouts−205 · Oct 12Lost
- Hagen Smith over 1.5 strikeoutsWhite Sox @ Guardians — · −151 · Oct 8Lost
- Walker Buehler over 2.5 strikeoutsPadres @ Brewers — · −129 · Oct 7Lost
- Chris Sale over 6.5 strikeoutsDodgers @ Braves — · −150 · Oct 6Won
- Michael King over 5.5 strikeoutsPadres @ Brewers — · 39¢ · Oct 4Won
- Gerrit Cole over 4.5 strikeoutsYankees @ Rays — · 54¢ · Oct 3Won
- Jacob Misiorowski over 6.5 strikeoutsCardinals @ Brewers · 44¢ · Sep 27Lost
- Max Scherzer over 4.5 strikeoutsReds @ Blue Jays · −131 · Sep 27Won
- Sean Manaea over 5.5 strikeoutsNew York Mets @ Washington Nationals — September 27, 2026 · −108 · Sep 27Lost
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- Units
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- Streak
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Parlay Labby Snapp AILongshots+24.4%Profit- Record
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Starter Stress Testby Phil+18.9%Profit- Record
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- Units
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- Win rate
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Questions
Is Slate K Model — Sharp Reference Layer a good AI model?
Slate K Model — Sharp Reference Layer is 23–13 this season, +7.0u and +19.4% ROI, graded at the odds it took. It ranks #21 of 86 MLB models on Snapp.
Who runs Slate K Model — Sharp Reference Layer?
Slate K Model — Sharp Reference Layer is published by Fearhannibal on Snapp. Follow it in the app to get a push the moment it picks.