College coaches are always trying to find little tips in the recruiting process about who might have potential to be a standout. One of the barometers that has become universal in the evaluation process is the 40-yard dash time. By now, we all know that most of these times are bogus, so we just try and take the results with a few grains of salt. But, at least it's something, right? Recently, Mark Branstad, a former high school teacher/track coach, crunched a lot of numbers and detailed some very fascinating trends regarding elite college linemen.
Full disclosure: Mark and I have had traded e-mails over the past few weeks, but what he pointed out Tuesday I think is really cool, insightful stuff as it relates to players who threw the shot or discus in high school:
"Of the 15 tackles listed on www.mockingthedraft.com, 12 threw the shot put and or discus in high school, as well as all four offensive tackles named in the article by Mike Detillier. What about the three d-tackles that did not throw? Well, one was a state champion heavyweight wrestler in New York, the other two were individual standouts in baseball and basketball. As always here's the breakdown: (All listed heights and weights according to various recruiting site sources.)"
Four Senior Offensive Tackles: And yeah these guys were huge in high school …
Russell Okung / Oklahoma State -- (6-5, 250) Fort Bend George Bush HS -- 155-09 discus
Trent Williams / Oklahoma -- (6-5, 290) Longview HS -- 45-06 shot put
Ciron Black / Louisiana State -- (6-5, 315) Robert E. Lee HS -- 54-05 shot put
Adam Ulatoski / Texas -- (6-6, 270) Southlake Carroll HS -- 45-09 shot put
Ten Senior Defensive Tackles:
Ndamukong Suh / Nebraska -- (6-4, 278) Grant HS, OR. -- 61-09 shot put state champion
More
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"Potentially, the valuable part of all this to football recruiters (while providing some real science to the process) is a database I'm constructing with the help of a database engineer/computer scientist from Houston. Basically, I'm taking all the specific track data on each player and placing each stat and data piece in a sortable Excel file along with apply specific football ranking metrics. When it is finished, we should have some reliable probability and correlation models regarding specific track events/stats and their relevance to football performance and NFL draft status."
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