Data Analytics: Preventing an Aaron Hernandez Situation

Over the last two years, there has been an incredible amount of illegal activities done by football players that have effected their team. The big topic now is domestic abuse done by Greg Hardy and Ray Rice, but the biggest case was done by Aaron Fernandez, who went to jail for murder. He was the New England Patriots star tight end and was a graduate from Florida University under the excellent coaching of Urban Meyer, so how could this situation be avoided?

With data analytics and player tracking making such a huge impact in the sports industry, there has to be a better way to predict responsive behavior. It is great to scout a player to find the right fit based on on the field analytics, but in generation it is even greater to find the best player who won't cause any off the field disruptions. Nobody could have predicted the Aaron Fernandez situation, or even for that matter the Ray Rice situation, because neither one had a track record, they were both quiet and hard workers, and even heavily involved in charitable deeds. Yes mistakes do happen, but for teams those mistakes can heavily impact them. My suggestion is to do more in depth analysis with IQ testing to be able to have more problem and solution or cause and effect situations. Possibly even using virtual gaming to be able to predict their responsiveness to situations. Unfortunately, I don't think the Aaron Fernandez situation could have been prevented or avoided, but I believe data analytics could prevent the likelihood of signing or drafting these types of players.

Do you hold teams responsible for these types of situations or players? Is there anything teams can do to better protect or educate players?