This is the code for my submissions to Kaggle’s 2016 March Machine Learning Mania competition. My approach was to summarize teams’ game-level statistics by season to predict outcomes in tournament matchups, and weight by tournament seed. My submission finished the tournament with a logloss score of 0.614.