Erik Hall 🏴☠️
@DjDataScience
Data Guy | Aspiring DJ | Sports analytics hobbyist | Novice sneaker head | @UT_Dallas MS Stats | @SimpsonCollege Math | Cornhusker #GBR | Pastor’s spouse
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I want to give you all a look at @SumerSports' Live SumerBrain environment Advanced charting data available to you faster than plays are happening on your TV. Insights to match what you are seeing. Actionable information that you can contextualize to the entire season
My turn for a fun insight with Sumer Brian from @SumerSports. Play action is effective even for teams with a low run rate
Good read, if you’ve got a couple minutes. Awesome to see the hard work from everyone
A bit on how our charting data has been built and how we have created our data: sumersports.com/the-zone/insid…
Game changer in the high school space for sure. Such a great opportunity to get verified measurables seen by scouts
High school football recruiting just changed. SūmerPlayer Varsity is live. 📲 Download here: apps.apple.com/app/apple-stor…
Week 6 model output for quarterbacks and running backs. For QBs, Mendoza maintains his lead through the bye week. Perhaps a surprising level of efficiency from Brendan Sorsby as well. Ahmad Hardy takes the top spot for running backs. #CFB #CollegeFootball #Heisman
Pause on the Heisman model output for this week, these views are a bit distracting #CFB #CollegeFootball #Heisman
Thanks to @solved_sports, I’ll be a blog contributor again this year. Where each week you can read more in depth about the Heisman model, and general storylines in the Heisman race. For this week, you can read about how the new model came to be solvedsports.com/blog/dc971039-…
Turns out that 3 explosive rushing TDs is a bad thing to give up. Who knew?
Week 4 model output for quarterbacks and running backs. No surprise that Mendoza jumps to the top of the list for QBs after the 5 TD day against Illinois. Through 4 weeks the question is, who are the contenders and who are the pretenders? #CFB #CollegeFootball #Heisman
The notation is a little heavy if you’re not used to it but, this is a classic application of mathematical expectation. It’s why you lose in the long run at casinos
Quick example on how W% turn into Projected Ws-Ls: Team has 4 games scheduled. We'll say each gives them a 51% chance (basically coin-flip) of winning. G1 - 51% G2 - 51% G3 - 51% G4 - 51% Does it make more sense to say they're projected to go 4-0? Or We turn the % into…
Finally got around to getting the visuals updated for the week 2 Heisman model output. Any surprises appearances or snubs? #CFB #CollegeFootball #Heisman
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