2016 NFL Draft – Quarterbacks Analyzed with Machine Learning

The following is a list of the 2016 Quarterbacks drafted in the order they were taken. After the name of the team that took them, we compare the draft picks with out Machine Learning QB analysis system to see what teams took “yes” players and which teams took “no” players. The players are rated yes or no if they would have been drafted and the probability the system thinks they fit in that category.

Jared Goff – Los Angeles – yes – (89%)
Carson Wentz – Philadelphia – yes – (83%)
Paxton Lynch – Denver – yes – (95%)
Christian Hackenberg – NY Jets – no – (73%)
Jacoby Brissett – New England – no – (98%)
Cody Kessler – Cleveland – yes – (90%)
Connor Cook – Oakland – no – (84%)
Dak Prescott – Dallas – yes – (56%)
Cardale Jones – Buffalo – yes – (97%)
Kevin Hogan – Kansas City – yes (82%)
Nate Sudfeld – Washington – no – (81%)
Jake Rudock – Detroit – yes – (83%)
Brandon Allen – Jacksonville – no – (95%)
Jeff Driskel – San Francisco – yes – (60%)
Brandon Doughty – Miami – yes – (86%)

As we watch the class of 2016 quarterbacks progress, it will be interesting to look back at this list and see where they stood at the day of the draft according to our Machine Learning QB analysis system