URAM Analytics

4K posts

URAM Analytics banner
URAM Analytics

URAM Analytics

@URAM_Analytics

Sports Data Science and Analytics content. Focused on sharing others’ work, jobs (#SportsDataJobs), and some of my own stuff. Ran by @papamoon92

Chicago, IL Entrou em Kasım 2021
946 Seguindo1.4K Seguidores
Tweet fixado
URAM Analytics
URAM Analytics@URAM_Analytics·
Taking inspiration from @saberpowers, I am now logging #SportsDataJobs in a publicly shared google sheet. It's not as pretty as his website, but it gets the job done! Between the two, we should be capturing most of the current opportunities. Details: uramanalytics.com/job-board
English
2
0
36
23.2K
sam ehrlich
sam ehrlich@SamEhrlich·
After one day, the best 2 things you can do as a pitcher 1. Throw Hard 2. Throw Lefty
sam ehrlich tweet media
English
3
1
44
5K
Bud Davis
Bud Davis@JBudDavis·
analytics/bad takes temporarily on hold
Bud Davis tweet media
English
13
0
77
3.1K
URAM Analytics retweetou
Pitch Leaderboard
Pitch Leaderboard@Pitch_Leaderbrd·
Pitch Leaderboard v8.0 will go live Monday, March 30. I had a whole bunch of updates planned, and I still do, but I didn't get around to any of them this offseason, so it'll look pretty much how it has always looked. But I have every intention of making those updates soon. Thx!
English
0
1
12
3.8K
URAM Analytics
URAM Analytics@URAM_Analytics·
@mlb_simulator I thought that this would be worse! Glad to see it wasn’t *quite* as bad as I thought lmao
English
0
0
0
160
Marek Ramilo
Marek Ramilo@marekramilo·
a moonshot factory— the inimitable original pitching lab. so proud and grateful to have been a part of the @DrivelineBB mission. on opening day, 30 teams begin the WS chase. signing off from here to go solve baseball for one of them.
Marek Ramilo tweet media
English
6
5
80
12.1K
URAM Analytics retweetou
Lau Sze Yui
Lau Sze Yui@903124S·
And here is some of sample player card for batter. Note that given incomplete data for swinging strikes and some of foul balls we can only very roughly estimate its location and obviously possible room for improvement. (Placeholder for some data in viz here) 8/n
Lau Sze Yui tweet media
English
3
1
37
9.2K
URAM Analytics retweetou
Scott
Scott@sdmiddlecamp·
The conventional wisdom is "be aggressive in hitter's counts" but the data says batters aren't aggressive enough. The bars show the gap between what batters actually do vs what the model says is optimal in each count.
Scott tweet mediaScott tweet mediaScott tweet mediaScott tweet media
Max Greenfield@GreenfieldMax18

We've come so far in the public world that we've gotten a little repetitive. I don't have the time nor the skills to do the research on it but if someone (smarter and less busy) did new research on arm angles affecting pitch grips, swing decisions based on counts, other topics.

English
3
5
45
7K
URAM Analytics retweetou
Sam Hoppen
Sam Hoppen@SamHoppen·
Consensus prospect big boards do a great job of identifying the rank order of which players project best to the NFL. However, one key piece that has been missing is the positional value of those players. So, I created a position-adjusted prospect big board. 🔗 to read ⤵️
Sam Hoppen tweet media
English
20
29
247
60.8K
URAM Analytics
URAM Analytics@URAM_Analytics·
Was feeling inspired by all the fantastic script logos in college baseball and thought that URAM needed a refresh. Courtesy of a very talented designer on Fiverr!
URAM Analytics tweet mediaURAM Analytics tweet media
English
1
0
9
616
URAM Analytics
URAM Analytics@URAM_Analytics·
@diegosborn Very cool! You may appreciate MLB Deserve to Win-O-Meter's work. Check it out!
English
1
0
3
690