Episode 334 - Jets 2019 Draft Class Data/Analytics Review w/Jim Cobern

Play Like A Jet: New York Jets

Play Like a Jet

Sports, Football, News, Sports News

4.7 • 644 Ratings

🗓️ 14 May 2019

⏱️ 35 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Scott Mason talks to Draft Analytics Guide publisher Jim Cobern for a data and analytics overview of the Jets 2019 NFL Draft selections! Jim breaks down the data and analytics surrounding the 6 players the Jets picked in the 2019 Draft - Alabama's Quinnen Williams, Florida's Jachai Polite, Chuma Edoga of USC, WVU's Trevon Wesco, Blake Cashman of Minnesota, and Blessuan Austin of Rutgers as well as three high profile Undrafted Free Agents, Wake Forrest's Greg Dortch, Jalin Moore of Appalachian State, and Fresno State's Jeff Allison. Do the data and analytics for these players match the expectations set by numerous draft and film observers? Based on the data, did the Jets have a good draft? Listen and find out! Play Like A Jet is part of the Turn On The Jets Digital Podcast network...... Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0	This is the Overtime Podcast Network.
0:03.0	Welcome to a turn on the Jets Digital Special presentation.
0:06.1	My name is Scott Mason.
0:07.1	You can follow me on Twitter at Play Like a Jet.
0:09.5	One, before the draft, we had on data and analytics expert, Jim Coburn, to talk about
0:15.8	some of the top prospects that the Jets could be looking at in the draft.
0:19.2	And now we know who they actually drafted.
0:21.7	So I thought we'd have Jim back to talk about the data and analytics of all the specific
0:26.3	prospects that are now going to be members of the New York Jets.
0:30.3	And so he is back.
0:31.7	He's, of course, the owner and operator of the common man football YouTube channel.
0:37.0	He's the only person to put out a data and analytics draft guide and one of my favorite
0:42.3	follows on Twitter, Mr. Jim Coburn.
0:44.7	Jim, thanks for coming back on the show, man.
0:46.7	Yeah, absolutely.
0:47.4	Thanks for having me on again.
0:48.7	So let's get right into it.
0:50.3	I'm going to have you explain your scale again.
0:53.2	I know that this is going to seem ridiculous
0:55.3	for you, but for anybody who hasn't heard you on the program before, I want them to know exactly
1:00.3	what these data and analytics sets are about so that when you explain it, they'll have a frame
1:05.5	of reference. So if you could, let's start with that. Sure. Well, in terms of all the data stuff that I use, essentially what I'm doing is I'm taking a
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