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).
Today’s WagerLab Model Aggregator Plays:
These picks are made by standardizing data across several dozen unique models. For more info or to use the code yourself, check out the repo on GitHub at wagerlab/model-aggregator
Today’s WagerLab Model Aggregator Plays:
- Rhode Island -5.5 (vs: Middle Tenn St., confidence score: 93.09)
- Saint Louis -14 (vs: Bethune Cookman, confidence score: 91.48)
- Oregon -29.5 (vs: Alabama St., confidence score: 87.81)
These picks are made by standardizing data across several dozen unique models. For more info or to use the code yourself, check out the repo on GitHub at wagerlab/model-aggregator