thank you to the GOAT @Lance Roffers
Lance just a quick question but in the listings you used the players best recorded times at the opening from freshman to senior years correct? Because i know cam Davis ran a 4.50 as a sophomore but he didn’t run that as a senior at the event
You only mentioned two of our WRs. What about Thomas, Pope, Hightower, Wiggins, and Njoku?
Some of these athletes tested at different points in their HS careers, no? Did you grab all the testing from, say, Junior Year Opening numbers? Some of them come into those testing situations with different training than others, too.All weights are from when they were coming out of high school unless otherwise noted. This way all comparisons are to the same situations.
I scrubbed for the data, which generally comes from the camps themselves. Nike Opening or Under Armour camps use lasers, so that's where I grab them from. I take their highest score that I can find. Minkah Fitzpatrick and and Antonio Alfana (both Bama kids) are two players who improved their overall scores in a major way during their high school careers.
Nike Open testing (Orlando) was outside in the rain while (Miami) tested inside the dolphins bubble, so there’s a lot of misleading info there as well from the conditions.
Some of these athletes tested at different points in their HS careers, no? Did you grab all the testing from, say, Junior Year Opening numbers? Some of them come into those testing situations with different training than others, too.
A case that stands out is Ahmmon Richards being labeled a 43 percentile athlete. When he was on campus, his testing numbers were supposedly far different. And, during his healthy year, he obviously played and produced at a different percentile.
These are the types of things I'm talking about. Besides weather, there are countless other little inconsistencies in data collection. Of course, Lance can't control that and simply needs to scrub and do the best he can with the data available, but there's more to be said about some of this stuff as it relates to data in evaluations.Nike Open testing (Orlando) was outside in the rain while (Miami) tested inside the dolphins bubble, so there’s a lot of misleading info there as well from the conditions.
Had he stayed healthy, I'd suspect his NFL Scouting combine numbers, at least based on what we had heard from internal UM testing, would be substantially different. Then the data story becomes different. Again, it's crystal clear what you're aiming at here and I think, as everyone has mentioned, it's a fantastic job overall. I'm commenting on the thread to push discussion and hopefully add context for some people who might draw overreaching conclusions.Their best numbers are used, yes. Richards was not a true burner though.
And, as the data shows, the WR position is unlike any other in terms of athleticism translating. It leads me to believe strong hands, hand-eye, route running are what is truly important.
Still not sure where this Lo can’t catch the ball stuff comes from. LOL
Eh. It's similar to using selected points of the data to justify what an analyst thinks is the fairest or most reasonable conclusion. In my world (education), I watch cherry-picked data presented all the time. The conclusions are valid, but the data sets were formed to fit a story.It’s absolutely part of the evaluation, no doubt. That said, if you start using outside influencers , you’ll be finding ways to justify what you want your eyes to tell you based on internal biases.
Am I aiming to say, “you can’t take this guy because he tested __, even though he’s a killer on the field.” No, of course not. I am saying that the data does tell us a certain picture for athletes and certain positions show some areas in particular to be hugely important. I would do my own testing when players visit and test them indoors in the same conditions and build my data profile into the evaluations.
It’s absolutely part of the evaluation, no doubt. That said, if you start using outside influencers , you’ll be finding ways to justify what you want your eyes to tell you based on internal biases.
Am I aiming to say, “you can’t take this guy because he tested __, even though he’s a killer on the field.” No, of course not. I am saying that the data does tell us a certain picture for athletes and certain positions show some areas in particular to be hugely important. I would do my own testing when players visit and test them indoors in the same conditions and build my data profile into the evaluations.
@Lance Roffers, or anyone else for that matter, are you aware of any colleges doing such a thing? It seems like such a no-brainer and obvious thing to do, especially in the data age, to isolate out the variables by testing your recruits in standardized conditions (in the IPF) that you can control, build the database, and analyze it over time. You're going to end up with data on tons of kids that go to other schools that way as well. I could see this being helpful in evaluating your S&C as well as position coaches over time also, in addition to recruiting.
Is this something that is done? Would it push recruits away by asking them to test? Is this already done under the guise of on-campus camps, such as Paradise Camp, etc? The more data, the better.