The use of predictive analytics in modern cardiology has had a significant impact in decreasing the subjectivity of forecasting cardiovascular events. The abundance of currently available clinical prediction models (CPMs) has been demonstrated by a recent systematic review.1 This review unearthed 796 scientific articles on the topic of CPMs and cardiovascular disease published from 1990 to 2012, with 90% being novel and the remainder recalibration or other adaptations of prior CPMs. Although utilization of CPMs is currently low, it promises to decrease use of the routine subjective eyeball test.2