There aren't many better ways to get exposure to teams (that are hiring) than to perform well in this. Also, sports analytics is fun.
More specifically to this year's topic (the secondary), many football analytics folks I've spoken to (including on @MeasurablesPod) agree this is perhaps the most difficult area of the game to quantify.

Excited to see how people tackle this problem (pun intended, obviously).
The interesting challenge is that it's difficult to determine which players are responsible for what without insight into the scheme.

A DB might be the closest to the WR at the time of the catch, but that doesn't necessarily mean the WR (or the zone) was the DB's responsibility.
I'm guessing some will use pre-snap formations to determine coverage roles (e.g. if the CB is lined up inside the WR, call it man-to-man). But, of course, defenses like to disguise coverages so that can't always work.
Anyway, S/O to @StatsbyLopez & team for coming up with a great topic.

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More from @brendankent

16 Oct
Thread: There are a variety of online statistics, computer science, and data science courses that can be audited for free.

Here are a few I'd recommend to those interested in developing a technical skill set for sports analytics ⬇
"Intro to Statistics" from Stanford

Gotta build the foundation!

udacity.com/course/intro-t…
"Introduction to Computer Science & Programming Using Python" from MIT

These days, virtually every job in sports analytics requires some programming experience.

edx.org/course/introdu…
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