For those of you who don't already know, this is not the time of year when NFL teams make many significant changes to their draft boards. With few exceptions, like a player testing positive for substance abuse or getting into trouble with the law, it's safe to say that April is not the month when in-house prospect opinions are altered much, if at all.
It's the rest of us—the less fortunate media members and draft experts—who are scrambling to watch film, collect data and formulate analysis on hundreds of players with limited resources each and every year.
So when referencing a player's stock either rising or falling in this article, keep in mind the factors which justify each prospect's noteworthy appearance.
First, I've spent the entire offseason buried in prospect game tape, cataloging data, hunting down Pro Day numbers and then trying to put it all together to make some sense of all the draft data available for those willing to do the work. Well, the data is finally coming together and is nearing completion.
This information, via film study, character developments or Pro Days, is then plugged into a draft metric system and contrasted against both my previous projections, as well as the general media's projection. The prospects with the greatest disparity or noteworthy divergence from these sources are then added to the slideshow as players whose stocks are either rising or falling.
In other words, this slideshow is primarily a reflection of changes made to my personal draft board as new information is discovered, such as game-changing Pro Day results or a noteworthy career-production score.
Note: The draft metric I'll be referencing throughout the slideshow is based off of a custom system intended to normalize data by giving every attribute and prospect nuance a numeric value from 1-10. This includes a prospect's height, weight, arm length, 40-yard dash, bench press, vertical jump, short-shuttle, 3-cone, broad jump, tape study, career production, character and, last but not least, injuries.
Once every category has a numeric grade, the information is then plugged into a position-specific, weighted-average to produce a single score, applicable across the board.