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cfbscrapR

@cfbscrapR

cfbscrapR is archived, please see cfbfastR: https://teapaw.org/t.co/VTYEGmFzFN

Joined February 2020
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Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by cfbscrapR (@cfbscrapR)Photo by 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. github.com/saiemgilani/cfbfa…
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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?
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College football analytics is a growing community. @cfbscrapR is a great way to get started! Documentation: saiemgilani.github.io/cfbscr… Getting Started: saiemgilani.github.io/cfbscr… Available Functions: saiemgilani.github.io/cfbscr… Happy coding, nerds!
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Nate Manzo (@cfbNate) profile pictureNate Manzo@cfbNate1 Mar 2021
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.
Image from Nate Manzo (@cfbNate)
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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.
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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!
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It counts. Confirmed
Saiem Gilani (@SaiemGilani) profile pictureSaiem Gilani
@SaiemGilani26 Feb 2021
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. saiemgilani.github.io/wehoop…
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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
Image from CFBNumbers (@CFBNumbers)
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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 fromtherumbleseat.com/2021/2…

Georgia Tech Football: Decision Making - Fourth Downs

Alternatively: “Decisions, decisions, decisions.”

fromtherumbleseat.com
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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
Image from CFBNumbers (@CFBNumbers)
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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)
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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 cfbnumbers.substack.com/p/ju…
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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
Image from CFBNumbers (@CFBNumbers)
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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
Image from Mike Lounsberry (@Mike_Lounsberry)
Image from Mike Lounsberry (@Mike_Lounsberry)
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Plotted just the point estimates for EPA/Play and Explosiveness just to show the differences
Image from CFBNumbers (@CFBNumbers)
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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
Image from CFBNumbers (@CFBNumbers)
CFBNumbers (@CFBNumbers) profile pictureCFBNumbers@CFBNumbers6 Feb 2021
Decided to add rushing and tweaked some fixed effects in my QB model. Heres how the notable QB's from the 2016-2020 Draft classes stacked up in college #CollegeFootball #NFLTwitter
Image from CFBNumbers (@CFBNumbers)
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Saiem talks a bit about webscraping, coding and data if you're interested
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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
Image from Arbitrary Analytics (@arbitanalytics)
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