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Re:Hack NFL data using Postgres (and maybe win your fantasy ... by Cyclone_ on Tuesday July 27, 2021 @04:25PM (#27977156)
What's the most interesting conclusion you were able to find using the advanced data that you wouldn't be able to see with the basic stats like QBR or yards per carry?
Re:Hack NFL data using Postgres (and maybe win your fantasy ... by CoolAssPuppy on Tuesday July 27, 2021 @04:41PM (#27977337)
I was suuuuper curious about the fastest player on the field (i.e., in full pads on game day), and the play-specific data includes acceleration as one of its data points. Miranda on our team (co-author of the post) dialed up a query to show the top 3, one of whom is Tyreek Hill. (The other two don’t play that much)
Re:Hack NFL data using Postgres (and maybe win your fantasy ... by CoolAssPuppy on Tuesday July 27, 2021 @04:42PM (#27977358)
Should add, I’m a big fan of all the football metrics providers and follow them all religiously during the season. The NFL dataset we found isn’t as comprehensive, but it’s still really fun!
Re:Hack NFL data using Postgres (and maybe win your fantasy ... by Maven911 on Wednesday July 28, 2021 @01:38AM (#27980558)
What are some of the other football data providers
Re:Hack NFL data using Postgres (and maybe win your fantasy ... by CoolAssPuppy on Wednesday July 28, 2021 @03:03AM (#27981082)
It’s not time-series data, but my favorite is Pro Football Focus: https://www.pff.com/subscribe

If the NFL made its data available weekly, you could probably join it with PFF data for some interesting insight. There’s a ton of power in joining time-series metrics with purely relational data.