tibbles good. glimpse() is a better print than the default tbl print though.

all projects gotta get contributors like @mrcaseb.com, he's been a whirlwind of nflverse maintenance and upgrades in the last month. thanks, seb!

~~ nflverse data update ~~ 2025 participation data is now live thanks to @ftnfantasy.com and @realfrankbrank.bsky.social. Access with nflreadr nflreadr.nflverse.com/reference/lo... or with nflreadpy nflreadpy.nflverse.com/api/load_fun...

Congratulations @discord.com; you have convinced *all* of my friend groups to start looking for alternatives to your service because of your shitty ID requirement rollout. Well, nothing lasts forever. 🙃

food nerds in my skeeting circles: anyone do dry aging at home? am contemplating building a diy minifridge setup with a raspberry pi humidity/fan/temp controller

There's a new tool from @ussoccer.com and @akeaswaran.me is here to tell you about it. Introducing Glass Onion, an Identifier Synchronization Tool www.americansocceranalysis.com/home/2026/1/...

Wandering out into -24C with my @rfortherestofus.com hat, thanks @dgkeyes.com!

Life's been extremely difficult lately, especially when your progress and efforts... feels under constant assessment. I made this to let myself code with no pressure. I'm calling it 'release.' A reminder that even in the darkest phases, there's light on the horizon. Messy Code: tinyurl.com/dy7zc2mz

In the wake of FBref's defacto death, I saw a lot of posts suggesting alternate data sources. Unfortunately, many of them focus exclusively on men's soccer. To measure what options remain for woso, I conducted a survey of the most popular FBref alternatives. What I found is disappointing: 🧵

this fucking sucks

Let’s go!!! 🚀 🏒 Teamworks has acquired Sportlogiq, the global leader in AI-powered hockey analytics. teamworks.com/blog/teamwor...

tired: LLMs wired: robot vacuums. just got my first one and holy crap it is so cool

Happy 2026! 🎆 My resolution: put @dslc.io on a sustainable footing. I’m soft-launching our Patreon to cover costs (Zoom, hosting, etc). If you love #TidyTuesday, our Slack help, or our book clubs, you can be an early supporter before the official launch Monday! patreon.com/DSLC #RStats #DataBS

@libbyheeren.bsky.social is always telling us to work out loud so I'm going to spin up a thread about the soccer analysis work I've been poking around at. I'm a big supporter of the USL Super League / Gainbridge Super League and have been messing around with modeling playoff probabilities.

I calculated a soccer-specific chess rating for 4,400 online games between ~100 players' accounts Top 10: 1. Marten de Roon 2. Yussuf Poulsen 3. Antonee Robinson 4. Stefan de Vrij 5. Borna Sosa 6. Christian Pulisic 7. Michael Olise 8. Kevin Prince Boateng 9. N'Golo Kante 10. Josip Stanisic

if tumblr dies I need this video to make it's seasonal rotation here instead just in case, Happy holidays 🎄

test_that("Are you ready?", {  expect_match(YOU, "watch out")  expect_no_match(YOU, c("pout", "cry"))  expect_no_error(telling_you_why())  expect_no_warning("Santa Claus" |> coming_to_town()) })

I just need 1 more dataset for #TidyTuesday 2025! Thank you so much to those of you who have submitted datasets! The submissions have allowed me to make progress on a long-planned huge maintainability and usability improvement for TT, coming in 2026!

I wanted dinner recommendations so I scraped 13,000+ London restaurants and accidentally discovered Google Maps is running a shadow economy. Anyway here's a dashboard and a political economy thesis: open.substack.com/pub/laurenle...

anyone else panicking over xgboost releasing a cran update last week that broke their legacy saved models? just lost like eight hours of my life strugglebussing a fix, it was awful, the code I used to fix it was awful, and i hate everything. might write about it later as therapy/closure #rstats

Data science folks: Can you recommend any textbooks/classes/resources that you really enjoyed, or that you felt made a particular difference in upscaling your skills? Asking for a friend who has some use-it-or-lose-it professional-development funds to spend before the end of the year.

Fifteen Years xkcd.com/3172/

Randomly decided that it's time for Tantastic Food Takes - here's a thread of the top things I ate in London on my recent trip (featuring Donia, Gymkhana, Dishoom, Quality Chop House, Regency Cafe, and Singburi)

-- WEEK 13 #NFL 🏈 Playoff Leverage -- Here you can see 1.) how the playoff probability of each team changes depending on whether they win or lose the next game, and 2.) the combined playoff leverage of the teams involved in each game, sorted by kickoff time.

including a few days of travel recovery time into PTO planning is superb stuff - slept for 12+ hours when I got home from London and now casually unpacking and doing laundry and getting ready for the week is 10/10. alas, if only liverpool were not shit right now that would be excellent

I'm honoured and delighted to be delivering the keynote for Japan.R 2025 in Tokyo on Dec 6. New ideas on creativity and community in open source software. Live demonstrations of ggbot2, OpenTelemetry and mirai (Posit ecosystem-wide initiatives). #Rstats #Tidyverse japanr.connpass.com/event/374714/

Good morning, it is 9am here in London. I am confident that the woman who wrote fifty shades of grey was inspired by the London skyline. However, I am happily on my way to pickup volleyball by tube so I have zero complaints.

testthat 3.3.0 out now! This is a massive release with tons of improvements including better failure messages, new expectations, improved snapshotting, new vignettes, and much much more: tidyverse.org/blog/2025/11... Post includes some thoughts on developing an #rstats package with Claude Code.

Landed in London for hudl/statsbomb conf, looking forward to hanging with the soccer gang tomorrow!

Post is up! #rstats rfortherestofus.com/2025/11/quar...

Here's a thread of some scattered thoughts about Jordan Spence, first star of last night's Ottawa win over Utah. He is a very good and very unusual player, which is to say: my favourite kind of player.

pre-writing a devastating obituary for your enemy is god-tier hating of a kind you don’t often see anymore. renaissance haterism. beautiful stuff.

We have a loaded lineup this year that includes @lvanden.bsky.social, @jperline.bsky.social, Gerard Cuenca (UEFA), Peter Tea (Sportlogiq), Dee Kundra (Bayern), Martha Reyna (Statsbomb), and many more! isac.baquora.app/conference/s...

Incredibly excited to be hosting @sethpartnow.bsky.social , Katie Krall, and Josh Orenstein this Thursday (11/6) for a panel on how technology and data are changing the essence of sports at the 3rd edition of the ITAM Sports Analytics Conference ⚾️🏀🧑🏼‍💻 Registration is still open: luma.com/junz793a

Wrote up a little intervention post/explanation for my class about why using LLMs for trying to learn programming (as first time learners!) is bad and detrimental datavizf25.classes.andrewheiss.com/news/2025-11...

time for a world series walkoff hbp

And we have now progressed from data analysis to policy recommendations. I told her that we'd calculate the cash value of her candy haul, that I'd ask her to raid her piggy bank and donate 1/3 the candy cash value to a local food bank, and that I'd add on a 5X match.

pumpkin carving 2025.02: big ducky energy 😎

Prepping for a pumpkin carving party later tonight 😎🐥

Strong rec for data people: if you use a library often, go to its GitHub issues, and find something, anything, to fix and submit a PR - nothing teaches you the internals better than doing development - you get software development reps and real code review experience - giving back is good.

When a chatbot gets something wrong, it’s not because it made an error. It’s because on that roll of the dice, it happened to string together a group of words that, when read by a human, represents something false. But it was working entirely as designed. It was supposed to make a sentence & it did.

Chatbots — LLMs — do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re “right” it’s because correct things are often written down, so those patterns are frequent. That’s all.

Pumpkin szn! This carving is of my current obsession: playing a lot of rec volleyball 🏐

in my happy place

jacobtomlinson.dev/posts/2025/t... Highly relatable for anyone that has ever written a line of code used by other people Lovely little post from @jacobtomlinson.dev

The Blue Jays are relentless