PODCAST: Football Analytics Pt. 2 ft. Lance Roffers

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This is exactly why UM should wait on taking a commit from 2020 LB Corey Flagg from Texas, until after the season. A 4.9 40yd LB at Miami is no bueno.

Go Canes
If you listen to Lance's analytical break down on part 2, you'll understand that he has an excellent sub 4.5 shuttle time which means he has great feet and that's what his film backs up. I'm sure his 10 yard split in the 40 is very good as well. I don't know what it is, but you can see his film shows quickness. The 10 yard split and and shuttle are far more important than the 40 for a LB. I'm sure he'll run much faster a year from now. You have got to be crazy to think that a guy making 144 tackles and 33 TFL's is slow. NO WAY a slow guy can make those numbers. Let's not forget he played in 6A football in Texas and his team won a state title. That's not small potatoes. That's major competition.

Forget the 40. The kid has the goods. Would like to see him paired with kid from NJ. Both look the part of All-ACC LBs.
 
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Awesome analysis Lance!!! I have to give you your props. You know your stuff. Really appreciated knowing we've recruited athletes that should perform well.

Do you know if Manny and staff look at the analytical data like what you have?

I think Manny should put you on the payroll as quality control. We should use your metrics to make sure our recruits check all/most of the boxes and also find the hidden jems that other schools/coaches have overlooked.
 
Awesome analysis Lance!!! I have to give you your props. You know your stuff. Really appreciated knowing we've recruited athletes that should perform well.

Do you know if Manny and staff look at the analytical data like what you have?

I think Manny should put you on the payroll as quality control. We should use your metrics to make sure our recruits check all/most of the boxes and also find the hidden jems that other schools/coaches have overlooked.

I appreciate the kind words.

It is my understanding they use testing metrics in their evaluations of players.
 
I appreciate the kind words.

It is my understanding they use testing metrics in their evaluations of players.
So, somewhat similar. However, I like what you do. You have historical data that proves itself to a certain percentage of confidence of how a player will project. That is invaluable IMO. What you have done reminds me of the NFL combine when they put up the size, weight, and combine stats of a combine rookie against NFL stud veteran's combine stats. It gives great insight into what the expectation should be for a particular athlete.

I work in software engineering. I'm taking courses in Big Data. You are definitely onto something with your predictive analytics. Keep up the good work!!!
 
@Lance Roffers - I really enjoyed this pod series. I want to see if we can take this a step further and use your database in a forward looking application for recruiting. I think there is money to be made here haha.

Also, if you wanna help me come up with a monte-carlo sim to help Enos call offensive plays, my nights and weekends are available.
 
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I understand that concept, but that’s not what’s happening here. The WR’s tested all over the place at both the college and NFL combines.

QB’s actually averaged a faster short shuttle than WR’s. There are some crazy athletes that make All-Conference at the position, but the majority are more middle-of-the-pack athletically.

I still believe it’s more nuanced in route running and maintaining speed in-and-out of breaks.

Plus, catching the ball. It’s a skill that can certainly be practiced, but quick eyes and quick hands are not things that our current athletic testing looks for or measures.
 
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