Next Gen Stats teamed up with the AWS Proserve data science group to develop a more comprehensive metric for evaluating passing performance: the Next Gen Stats Passing Score. Built off of seven different AWS-powered machine-learning models, the NGS Passing Score seeks to assess a quarterback’s execution on every pass attempt and transform that evaluation into a digestible score with a range between 50 and 99. The score can be aggregated on any sample of pass attempts while still maintaining validity in rank order.

… Instead of simply awarding all passing yards, touchdowns and interceptions to the quarterback, the NGS Passing Score equation leverages the outputs of our models to form the components that best 

• Evaluate passing performance relative to a league-average expectation.
• Isolate the factors that the quarterback can control.
• Represent the most indicative features of winning football games.
• Encompass passing performance in a single composite score (ranging from 50 to 99).
• Generate valid scores at any sample size of pass attempts.