[williamwagerlab]

Hi everyone. I’ve just finished building this model plan to track my picks here. In short, it pulls data from dozens of other models listed on ThePredictionTracker, standardizes the values, and aggregates them to find the best picks. I made the code publicly available on Github (details below).

This Week’s WagerLab Model Aggregator Plays:

• Houston +7.5 (vs: Tennessee, confidence score: 87.58)
• Cleveland -2.5 (vs: Cincinnati, confidence score: 84.79)
• Buffalo +0 (vs: N.Y. Jets, confidence score: 84.05)
• Philadelphia -3.5 (vs: N.Y. Giants, confidence score: 79.73)
• San Francisco -3 (vs: Seattle, confidence score: 78.61)

For more info or to pull the code yourself, check out the repo on GitHub at wagerlab/model-aggregator

[Husker36]

Are we supposed to fade these?

[williamwagerlab]

I've had some decent success this season betting these picks by compiling them in Excel. But note there's no intuition or anything like that involved, they're 100% data-driven.

[Husker36]

I've had some decent success this season betting these picks by compiling them in Excel. But note there's no intuition or anything like that involved, they're 100% data-driven.

I just don't think week 17 is the time to use a system like that. Houston, Buffalo and Cleveland were almost for sure losers yesterday.