Sports Data Science and Analytics content. Focused on sharing others’ work, jobs (#SportsDataJobs), and some of my own stuff. Ran by @papamoon92
Chicago, IL
Joined November 2021
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URAM Analytics retweeted
ICYMI, I spent yesterday's intro debunking the "points are at a premium" adage used as logic for kicking a FG on 4th down. It doesn't really hold up, so find a new slant!
URAM Analytics retweeted
Made HackerNews for sports because I was sick of missing all the cool stuff everyone was making. Hooked up to a bunch of Substack RSS feeds, arXiv, Twitter, sports data Kaggle comps, your personal website, etc. Submit your own links, upvote other stuff, you know the deal.
At minimum it’s where I’ll go to see what the homies are writing about sports every day. But if you like it too, feel free to sign up, sign in, submit links, and help me cover the rest of the sports bases:
news.raycarp.com/
URAM Analytics retweeted
Week 9 NFL Composite Power Ratings
Sources:
@ESPN (FPI)
@greerreNFL (nfelo)
@inpredict (Inpredictable)
@kevin_cole (Unexpected Points)
@FTNFantasy/@ASchatzNFL (DVOA)
@PFF (PFF)
URAM Analytics retweeted
I wanted NBA tracking data I couldn’t afford.
So I wrote a C# scraper and put 632 games on GitHub in 2015.
A decade later: at least 49 research works have used it, including 5 @SloanSportsConf studies and papers at @NeurIPSConf, @icmlconf, @iclr_conf & @CVPR.
The story:
URAM Analytics retweeted
The World Series is over. As the winter begins, we've built the ULTIMATE offseason tool, free to use!
Head to dealinthecards.com/gm to build a full 26-man roster for the 2027 season. Sign any free agents, make trades, extend your guys, and become the GM! (Use responsibly)
URAM Analytics retweeted
Rebuilt box score site to be a million times faster and have more information about the game. Check it out rbsdm.com/box_scores/#2025_2…
URAM Analytics retweeted
My NFL site is finally live! Check out the ultimate interactive playground to deep dive into advanced NFL tracking data and stats such as passing charts, carry charts and route charts.
Data has been updated for yesterday's games.
URAM Analytics retweeted
ICYMI, yesterday I shared my thoughts on the viral Kyle Shanahan clip going around the internet. Here's a snapshot of most of my thoughts - you can read the rest in my post from yesterday!
There's a BRAND NEW, never-before-seen edition of Hoppen to Conclusions on my Substack! I discuss:
⚜️ The Saints' defensive struggles
📉 Sam Darnold stock declining
🪖 Lots of trench warfare
📊 4th-down decisions (against my intern's advice not to)
🔗: samhoppen.substack.com/p/hop…
URAM Analytics retweeted
The Dream once again held the Valkyries to one of their worst offensive performances of the season.
This time, they paired it with a high-end offensive outing of their own and 24 half-court attempts at the rim.
Atlanta is now two victories away from winning the title.
URAM Analytics retweeted
I’ve built an R package, {nbadatar}, to load my NBA play-by-play, possession and lineup data, now live for 2026-27 and updated daily, with 30 seasons of history.
github.com/ramirobentes/nbad…
Here's how the data looks for last night's 23-0 run by Detroit against Boston.
#rstats
URAM Analytics retweeted
Initial women's projections are up. Please feel free to let me know of any major injuries. barttorvik.com/ncaaw/trank.p…
URAM Analytics retweeted
Here's the link to enter this year's competition kaggle.com/c/nfl-big-data-bo…
URAM Analytics retweeted
"Why doesn't he get whiffs if he has good Stuff?"
Current models can be opaque in how they get to their conclusions. To combat this, we have developed a process to illustrate how and why a player's pitches are good/bad/neutral, based on our models. (1/8)
URAM Analytics retweeted
What's the value of a WNBA player's individual production?
Enter Statistical Plus-Minus. It estimates impact by weighing different contributions from a player's stat line. SPM is more stable than RAPM, and it often produces more sensible rankings.
Ranks + methodology below 👇
ALT A data visualization showing the top 10 leaders in WNBA Statistical Plus-Minus. The order is as follows: 1. A'ja Wilson (+3.22), 2. Veronica Burton (+2.29), 3. Kelsey Mitchell (+2.28), 4. Caitlin Clark (+2.18), 5. Paige Bueckers (+2.08), 6. Aliyah Boston (+2.05), 7. Breanna Stewart (+2.05), 8. Jackie Young (+2.05), 9. Olivia Miles (+1.83), 10. Kayla McBride (+1.77) The gap between A'ja Wilson and second place (0.93) is almost double the gap between second place and 10th place (0.52)
URAM Analytics retweeted
REGISTER NOW before we are sold-out! Sam's talk "Soft Skills are the New Hard Skills: Hiring for #SportsAnalytics in the #AI Age" is going to be awesome and relevant for everyone in the field stat.cmu.edu/cmsac/conferenc…
Time to announce our keynote speakers for CMSAConference 2026. First up, we are pleased to have the Vice President of Hockey Strategy and Research for the Buffalo Sabres, Sam Ventura!See the full information about Sam's talk on our website!
cmsaconference.com/
URAM Analytics retweeted
I created the Lahman Baseball Database nearly 30 years ago. It’s pretty gratifying to see it still being used, maintained, and now getting a major modernization. @SABR has announced some big changes coming with the 2026 update. sabr.org/latest/sabrs-lahman…
URAM Analytics retweeted
With the playoffs fast approaching, let’s check in on the eighth-seeded Liberty. Where do their players shoot more or less often than the league average?
For the first time in Jonquel Jones's career, fewer than half of her shots (47.0%) are coming in the paint.
ALT A data visualization showing where each player on the Liberty shoots more (red zones) or less (blue zones) often compared to league average. Fewer than 50% Jonquel Jones's shots have come at the rim, while players like Pauline Astier and Rebekah Gardner bring rim pressure.