In this challenge you will predict real NBA games using my experimental technique based on Chernoff Faces, which are feature sets mapped to human faces in order to activate our very developed face pattern recognizing neural network. The hypothesis is this can be pretty competitive with machine learning models.

On each side, there is an animated face, which represents a state of an NBA team in 5 games before the game we try to predict. In theory, we can identify winning/losing face the same way we identify smart or dangerous face.

In the first tens of choices you will learn and your choices will be random. But eventually you will start to find that winning faces look a bit different from losing ones. I reached an accuracy of 63.8%, which beats simple machine learning models. Can you beat me?

I will try ensembling our predictions and other techniques to get the most of our collective intelligence.

Good luck and thanks for participating.