Through the intelligent efforts of analysts, we can quantitatively estimate a player's likelihood of being available when the Ravens are on the clock
Bayesian Draft Analysis Tool
Brian Burke created some years ago a brilliant tool that uses Bayesian (I took one graduate economics class, so don't ask me what this means in detail) logic to predict at what pick each player will go. Essentially, it incorporates a number of popular draftnik expectations to build a normal distribution of a player's projected selection.
For instance, yesterday as I was playing with it, the tool suggested a paltry 15% chance of Melvin Gordon making it to 26.