@NateSilver538 IF there were model changes to 538, would you be able to identify that in the re-released model (assuming they were not communicated to the public)? Or is the passage of time between "old" and "new" model going to obscure too much to know?
Down 7, 9:10 left in the 4th, inside of opponent 30, 4th & 5: is this a go for it? Felt like it.
@CFB_Data who has the fourth down numbers these days?
Some exciting news… I (Drew) will be joining Chevrolet’s IndyCar program in a few weeks!
As a heads up, the IndyCar content/this website will slow down, but I hope everyone has enjoyed reading my work and using the app as much as I have enjoyed working on all of this.
@kylebeni012 I was saying the same thing the other night. In college, make teams in the bonus receive 1 automatic point + a free throw, if you’re in the double bonus get two automatic points.
Week 4 Elo Rankings are here, featuring an improved design to show you how many spots up or down the rankings your team moved.
Entering the top-25:
@MSU_Football and @GopherFootball
Exiting the top-25:
@Utah_Football and @IndianaFootball
Full Rankings:
https://t.co/NFsqGDDoHw
@hunter_peirson Now that the game has ended, feels extra good we won with that questionable call plus the two kick interferences which also seemed like soft calls. Feel like it’s usually bad calls plus a loss for PSU.
Season Sim Thread: @DrewBennison simulated the season 10,000 times using Elo ratings to predict regular-season results. Here are the outcomes.
Starting with the #ACC. Unsurprisingly, it's @ClemsonFB and then everyone else.
We ran our (regular) season simulation 10,000 times to forecast what is going to happen in college football this year. What did it say about the #Big10? @DrewBennison breaks it down: https://t.co/F4T7Qt2faV
Just finished up a project with @DrewBennison where we developed a model to predict MLB starting pitcher injury with Statcast data. Pitchers we identified as injured were about 3x as likely to be injured within 2 weeks of a start as the non-injury group.
https://t.co/Dxe68rxFjg
For those interested in baseball, @MalletJames3 and I just completed a project where we developed a machine learning model that predicted whether or not a pitcher would be injured within two weeks of a game date. Our results & final paper can be read here:
https://t.co/T8qjLmK0jK
After charting the pass locations for the Iowa @ Penn State game last weekend, here are @DrewBennison's thoughts on the PSU QB situation, and Air Yards as a stat.
https://t.co/8aEB3mMPln