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UFC Machine Learning Picks

Alright, Alright, Alright! Our models for straight picks have been absolutely dominating the last few weeks, and we hope you have been taking advantage of our team’s picks, analysis, and content. Our machine learning models are 71-36 (66.36%) on the year for the UFC. Our profit for machine learning picks is at 15.5u and the Normalized Win Percentage is at 56.06.

There are a couple differences between BCDC and a lot of other gambling hack prediction. Others just choose and pick the fights. Sure, we can do that and sometimes move our accuracy to be higher and possibly our profits… but we don’t pick and choose because BCDC is trying to provide as much information to the people who enjoy the content. We leave it up to user to pick what they want or need. Every week we ask on YouTube, Twitter, or on our website to let us know what you want to see. With all that being said, we use data with opinions… not just an opinion because they “think” fighter A is better than fighter B. We tend to have a good statistical probability of knowing and that is why we are so accurate.

Here are the picks! Enjoy the fights!

Marlon Vera
Andrei Arlovski
Andre Fili
Grant Dawson
Darren Elkins
Gerald Meerschaert
Alexandr Romanov
Daniel Da Silva
Gabriel Green
Natan Levy
Gina Mazany
Tatsuro Taira

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