Predicting NFL Draft Prospects Success: Analyzing Techniques of Imputing Missing NFL Scouting Combine Data

This paper presents a methodology with machine learning for predicting the potential success of NFL players by combining NFL Combine data, college football statistics, and scouting grades. It addresses the challenge of missing NFL Scouting Combine data through four different data imputation techniques, showing that thoughtfully and intelligently imputing the missing data greatly enhances the accuracy of career success predictions.