86 minds. 32 teams. 1,007 submissions. One question, can a human out-predict the machine? We threw down a challenge to the brightest student minds in data science and finance: beat our algorithm at its own game. The response blew us away. Over the course of the AlgoSports23 Sports Prediction Competition, hosted on Kaggle, 86 entrants across 32 teamsfired off 1,007 submissions, each one a fresh attempt to outsmart the model that lives and breathes sports data. This wasn’t a homework...

Calling all college students passionate about sports and analytics: AlgoSports23 is thrilled to announce the launch of the College Sports...

In the ever-evolving financial markets, understanding the intricacies of trading costs across different market cap categories is...