To be fair, the following post is geared towards “quant jocks” (ok, nerds) who have a reasonable knowledge of statistical distributions. In particular, I have used Weibull distributions to model different subsets of 1st round picks from over 40 NBA drafts. With different shape and scale parameters for each subset, the expected value of a draft pick can be estimated with statistical probability. Based on my analysis, I developed a methodology to define a bust objectively in order to overcome the bias which seems to be apparent in existing lists of all-time busts. If you work for an NBA team and came across this site, you should read this post.
If given the option, who would you chose between Jerry Rice and Randy Moss? Arguably the two greatest receivers in NFL history, one proved to be the epitome of excellence while the other had a flair for the spectacular. While Moss had impressive career totals of 156 TDs and over 15,000 yards, he fell far short of Rice’s career totals of 197 TDs and almost 23,000 yards. Still, I’d like to ask Tom Brady which receiver he’d prefer to have in his huddle. For that matter, I’d like to ask Joe Montana or Steve Young the same question. I imagine the former 49ers would stick together. However, I’m sure both QBs would have relished throwing to Moss as well.
In an earlier post, I evaluated the trades made by the Rams and Eagles to move up to the first two spots in the 2016 NFL Draft. At that time, I commented that #1 overall pick Jared Goff needed to match the career of Eli Manning and #2 overall pick Carson Wentz needed to match the career of Philip Rivers to be worthy of those trades. Since then, Philadelphia traded QB Sam Bradford so the bar for Wentz has been lowered to Jay Cutler. With respect to these comparisons, Wentz has a reasonable chance to meet the target whereas Goff doesn’t. Even on an absolute basis, I predict the #2 pick will outshine the #1 pick throughout their careers.