Predicting March Madness success from regular season statistics

Daniel, a member of the Class of 2027 majoring in Geography, embarked on a project titled “Predicting March Madness Success from Regular Season Statistics.” His project focused on bracket prediction strategy, where he developed an ordinal regression model to forecast tournament success based on regular season statistics. Daniel’s work aimed to enhance predictive accuracy and strategic decision-making in predicting outcomes during March Madness.