cfbscrapR

cfbscrapR is archived, please see cfbfastR:

[cfbscrapR @cfbscrapR]

Hello everyone. At this point, I'd like to let everyone know that cfbscrapR is retiring. It's been a good run.

Please see cfbfastR and @SaiemGilani for further questions.

https://t.co/f5WdB8T7Pj

[Michael Lopez @StatsbyLopez]

It's the fourth year of the #BigDataBowl (sponsored by AWS), and we're ready to tackle the third phase of football - Special Teams.

The goal of this year's event is to learn what makes for valuable special teams play -- what players execute best? What strategies lead to success?

[cfbscrapR @cfbscrapR]

College football analytics is a growing community. @cfbscrapR is a great way to get started!

Documentation: https://t.co/bl08CWHZPa

Getting Started: https://t.co/rOtq9drmK2

Available Functions: https://t.co/VXHsHbQx2Y

Happy coding, nerds!

[cfbscrapR @cfbscrapR]

👀

[Nate Manzo @cfbNate]

Here's a look at Big 12 Rushers by the length of their rushes. YPC and EPA/Carry are great ways to boil everything down to a single number but they can be influenced by a couple of 80 yard flukes. Grouping by rush length lets us see the distribution of outcomes for each RB.

[cfbscrapR @cfbscrapR]

Big ups to our guy @StevenPlai and the rest of the Sooners team on their win at the @CuseAnalytics Football Blitz. And a big thank you to the program for putting together a great competition and encouraging the young ones to work on their data problem solving skills.

[cfbscrapR @cfbscrapR]

Thanks for the shoutout, Brendan! And thanks to @CFB_Data, who did a lot of the heavy lifting on making college football data open and accessible.

We are excited to see how college football analytics continues to grow, and look forward to all the great work ahead!

[cfbscrapR @cfbscrapR]

It counts. Confirmed

[Saiem Gilani @SaiemGilani]

Announcing wehoop v0.1.0: An R package for women's basketball data. Literally an hour into development, but it's got a hex-tile, count it.

https://t.co/O5HcpuvgsU

[CFBNumbers @CFBNumbers]

Still playing around with the model but here is the 2016-2020 draft prospects Success Rate over Expectation. Could we be overthinking Mac Jones? #NFLDraft #NFL

[From the Rumble Seat @FTRSBlog]

Georgia Tech Football: Decision Making - Fourth Downs
- more advanced stat nerd stuff (h/t @JDLee, @aisports_4th, & @cfbscrapR)
- charts
- a lot of charts
- jeez that’s a lot of charts
- there’s also some words in there too, if you’re into those https://t.co/ULlJ64PH7S

[CFBNumbers @CFBNumbers]

Building off earlier curiosity: For the 2021 NFL Draft Prospects here are the percent of pass and rush plays that went for positive EPA #NFLDraft #NFLTwitter

[CFBNumbers @CFBNumbers]

Random #NFLDraft lunchtime stat:
% of QB rushes that went for positive EPA

Mac Jones: 63.3% (30 total rushes)
Trevor Lawrence: 61% (146 total rushes)
Justin Fields: 55.5% (144 total rushes)
Zach Wilson: 49.6% (83 total rushes)

[CFBNumbers @CFBNumbers]

Fields v Wilson. The battle for QB2. My first look at the debate by looking at a broad prospective of their career⬇️
#CollegeFootball #NFLTwitter #NFLDraft

Justin Fields vs Zach Wilson Part 1: Career Overview https://t.co/YrvH9oGjCP

[CFBNumbers @CFBNumbers]

Not wild about dataviz but did it really fast just to satisfy my curiosity. Even in the college game passing on early downs > rushing and passing to non RB's > passing to RB's #CollegeFootball #CFB

[Mike Lounsberry @Mike_Lounsberry]

Top 100 High School Signees 2017-2021 by ACC Division.

You don't realize how many teams in the ACC have similar colors until you try to make a graph readable 😅

Data from @cfbscrapR, template from @arbitanalytics

[CFBNumbers @CFBNumbers]

Plotted just the point estimates for EPA/Play and Explosiveness just to show the differences

[CFBNumbers @CFBNumbers]

So I thought this was interesting: Same model (controlling things QB can't control), but success = 1, so we're looking for explosiveness. Justin Herbert and Patrick Mahomes saw bumps, while Mitch Trubisky fell #NFLTwitter #NFLDraft

[cfbscrapR @cfbscrapR]

Saiem talks a bit about webscraping, coding and data if you're interested

[Arbitrary Analytics @arbitanalytics]

I'll have more recruiting content coming in the next few weeks but one thing I've been working on is my Recruiting Radiuses graphic. Its a measure of how far a school needs to go to get 25%, 50%, and 75% of its recruits over time

Data from @cfbscrapR