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qntkhvn

@qntkhvn.bsky.social
249 followers 108 following 140 posts

data; sports; memes; #RStats qntkhvn.netlify.app

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Reposted by qntkhvn
Nick Wan @nickwan.bsky.social · 08/10/2026
2027 Big Data Bowl is live and this year is finding correlates between NFL Combine data and in-game player tracking data www.kaggle.com/competitions... some personal thoughts as a previous BDB competitor, BDB team sponsor, and BDB content creator
kaggle.com
NFL Big Data Bowl 2027
Uncover non-obvious linkages between Combine sensor tracking and regular-season NFL game performance
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qntkhvn @qntkhvn.bsky.social · 06/10/2026
www.kaggle.com/competitions...
kaggle.com
NFL Big Data Bowl 2027
Uncover non-obvious linkages between Combine sensor tracking and regular-season NFL game performance
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Nick Wan @nickwan.bsky.social · 02/10/2026
I’m hiring for a new psychology and cognition coach! If you get excited about cool results like in this thread and want to find ways to apply this back to players before games, in the dugout, and after games, check the posting out here: www.teamworkonline.com/baseball-job...
teamworkonline.com
Psychology & Cognition Coach - Cincinnati Reds
Title: Psychology & Cognition CoachDepartment: Baseball Operations – Baseball Analytics - Psychology & CognitionFLSA Status: Salary - ExemptDate Created: 10/28/2025Date Reviewed: 10/01/2026Minimum Req...
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PySport @pysport.org · 09/09/2026
𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐮𝐩 𝟐.𝟎 𝐢𝐬 𝐡𝐞𝐫𝐞. 🇪🇺🇺🇸 Following the success of the first edition, PySport and @skillcorner.bsky.social are inviting the analytics community to work with open-source 𝐟𝐨𝐨𝐭𝐛𝐚𝐥𝐥 𝐝𝐚𝐭𝐚 (including body pose data) and 𝐛𝐚𝐬𝐤𝐞𝐭𝐛𝐚𝐥𝐥 𝐝𝐚𝐭𝐚 to turn new ideas into open-source projects with real value.
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Yihui Xie @yihui.org · 11/09/2026
working on R Markdown and knitr in 2026... - yihui.org/en/2026/09/r... - yihui.org/en/2026/09/k...
yihui.org
A Review of **rmarkdown** Updates from 2024 to 2026 - Yihui Xie | 谢益辉
Back in 2022, I promised that R Markdown wouldn’t die. In this post, I’ll give a summary of notable updates in rmarkdown v2.26–v2.32 (2024–2026). For the full changelog, please...
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Andrew Gelman et al. @statmodeling.bsky.social · 25/08/2026
What contributions can academic statisticians make to sports analytics? (a discussion related to the launch of the new open-access Journal of Statistics and Data Science in Sports) statmodeling.stat.columbia.edu/2026/08/24/j...
statmodeling.stat.columbia.edu
What contributions can academic statisticians make to sports analytics? (a discussion related to the launch of the new open-access Journal of Statistics and Data Science in Sports) | Statistical Mod...
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qntkhvn @qntkhvn.bsky.social · 12/08/2026
New paper (published in Social Networks) on modeling co-evolution of cooperation and conflict among OCGs using dynamic network actor models doi.org/10.1016/j.so...
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Amstat-American Statistical Association @amstatnews.bsky.social · 03/08/2026
When do MLB players peak—and can missing seasons distort the answer? This JSM 2026 presentation uses multiple imputation to account for players who leave the game, producing a more accurate picture of how offensive performance changes with age. #JSM2026 #SportsAnalytics
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qntkhvn @qntkhvn.bsky.social · 27/06/2026
Group G last night #RStats (h/t www.youtube.com/shorts/U2w0B...)
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qntkhvn @qntkhvn.bsky.social · 24/06/2026
NBA trade value charts, classic table version
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qntkhvn @qntkhvn.bsky.social · 17/06/2026
NBA Draft Tier Curves 📈🏀 #NBA #NBADraft Draft day trades will depend on how much you value the chance of getting a superstar Using NBA 2K ratings since 2010 & same methodology as previous work on NFL draft curves with Madden ratings bsky.app/profile/qntk...
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Libby Heeren @libbyheeren.bsky.social · 11/06/2026
Did you know you can search for R packages by what they do, as opposed to just their names? Look! 👉🏼 rwarehouse.netlify.app @kylieainslie.bsky.social made The Warehouse for just this purpose. Send it to a new R programmer today ❤️ because it's the resource we all wish we'd had at some point #rstats
Screenshot of a website with "The Warehouse" at the top. The user has typed "add interactivity to a ggplot" into the search bar at the top of the website and results below include plotly and ggiraph
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qntkhvn @qntkhvn.bsky.social · 07/06/2026
New blog post #RStats qntkhvn.netlify.app/posts/2026-0...
qntkhvn.netlify.app
The Q: Data art: Haunted
Make point pattern spookier
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qntkhvn @qntkhvn.bsky.social · 17/05/2026
New blog post #RStats qntkhvn.netlify.app/posts/2026-0...
qntkhvn.netlify.app
The Q: Mosaic plots from scratch with ggplot2
Marimekko ab initio
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The R Foundation @r-foundation.bsky.social · 05/05/2026
Today marks 50 years since John Chambers and Rick Becker presented a new project to colleagues at Bell Labs - an interactive environment that became the S language. For more details, see the #RStats blog entry "S at 50": blog.r-project.org/2026/05/05/s...
blog.r-project.org
S at 50 - The R Blog
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Peter Dalgaard @pdalgd.bsky.social · 24/04/2026
R version 4.6.0 "Because it was There" (source version) has been released. It should be on CRAN by now. #rstats The choice of codename is in remembrance of R Core member Tomàš Kalibera (1978-2026). Among many other things, he was a keen mountain climber.
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qntkhvn @qntkhvn.bsky.social · 25/04/2026
Check out the following #NFLDraft articles (collaboration between #CMSAC and #NFL) - Building an NFL Draft Value Chart: operations.nfl.com/updates/foot... - Introducing the NFL Draft Tier Chart: operations.nfl.com/updates/foot...
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Carnegie Mellon University @cmu.edu · 23/04/2026
What is the value of a pick in the #NFLDraft? 📈 Carnegie Mellon researchers are tackling the question. A joint project from the NFL and CMU researchers Quang Nguyen and Ron Yurko explores the math behind how Draft value charts are built and which teams have the best track record for picks. #Data
operations.nfl.com
Building An NFL Draft Value Chart | NFL Football Operations
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qntkhvn @qntkhvn.bsky.social · 23/04/2026
Close to peaking #NFLDraft #NFL #CMSAC www.wtae.com/article/nfl-...
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Thomas Lin Pedersen @thomasp85.com · 20/04/2026
I am excited beyond description to lift the veil on what we have been working on in 2026: Please meet ggsql! A new extension of the SQL language for creating visualisations using the grammar of graphics. Read all about it in the blog post or visit the website at ggsql.org
opensource.posit.co
ggsql: A grammar of graphics for SQL
Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.
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frank brank @realfrankbrank.bsky.social · 08/04/2026
FTN is partnering with the Carnegie Mellon Sports Analytics Center to provide advanced charted data to students to help prepare them for a career in sports data and analysis. Special thanks to @stat-ron.bsky.social for being a leader in this partnership.
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Piter Pasma @piterpasma.nl · 02/04/2026
data:text/html,<canvas id=x><script>X=x.getContext`2d`;s=Math.sin;p=[...Array(x.height=x.width=w=904)].map(G=Math.random);w/=2;g=([x,y],[a,b,c,d])=>w+s(3*a*x/w+7*b)*s(7*c-3*d*y/w)*w;for(v=[0,i=9e5];--i;v=v?.map((x,j)=>g(v,p.slice(h+j*4))))h=G(X.fillRect(...v,1,1))*32|7</script>
generated IFS dust fractal
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qntkhvn @qntkhvn.bsky.social · 31/03/2026
ICYMI… Check out the paper arxiv.org/abs/2603.17866 We propose a statistically-driven ghosting framework to evaluate continuous-time within-play player movement relative to hypothetical alternatives with proper uncertainty propagation
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qntkhvn @qntkhvn.bsky.social · 30/03/2026
!single
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qntkhvn @qntkhvn.bsky.social · 29/03/2026
Heading to UConn on April 10–11 to lead a tracking data workshop at the Connecticut Sports Analytics Symposium (CSAS) 2026. The workshop will focus on unsupervised learning with tracking data, featuring a case study of clustering pre-snap motion in 🏈. Register now! statds.org/events/csas2026
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Saberseminar @saberseminar.bsky.social · 27/03/2026
We're excited to announce that Saberseminar 2026 will be held August 29-30 at the IIT campus in Chicago! We're excited to get back together for another weekend of fundraising and cutting-edge baseball research. For more information, visit our website. www.saberseminar.com
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qntkhvn @qntkhvn.bsky.social · 23/03/2026
Once upon a time... qntkhvn.netlify.app/posts/2022-0...)
qntkhvn.netlify.app
The Q: Heatmaps of the first 100000 digits of pi and e
Chaos of numbers
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Ron Yurko @stat-ron.bsky.social · 20/03/2026
Official publication of ' #NFL ghosts: A framework for evaluating defender positioning with conditional density estimation' is now available in the Annals of Applied Statistics projecteuclid.org/journals/ann... #BigDataBowl #sportsanalytics #CMSAC
media.tenor.com
three men in suits and ties are standing next to each other with a caption that says " don 't wait another minute "
ALT: three men in suits and ties are standing next to each other with a caption that says " don 't wait another minute "
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qntkhvn @qntkhvn.bsky.social · 21/03/2026
how about 2 more for outlook
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John Edwards @johnbedwards.io · 19/03/2026
my march madness projections for 2026 are (finally) up! johnbedwards.io/blog/march_m... while I didn't have the chance to update my methodology much from 2025, everything from last year worked pretty well. here's who i have as the highest probability teams for winning the men's tournament:
A table showing the probabilities of the top teams to win the men's ncaa basketball championships.
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qntkhvn @qntkhvn.bsky.social · 19/03/2026
2(ish) years in the making...
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qntkhvn @qntkhvn.bsky.social · 19/03/2026
This framework enables comparison of observed movement against a distribution of hypotheticals at each frame within a play We focus on evaluating RB movement after handoff in run plays, and present examples of play valuation breakdown & player performance metrics
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qntkhvn @qntkhvn.bsky.social · 19/03/2026
Simulation details: Given an observed path, at each frame along this path, generate a local distribution of hypothetical next steps (only simulate the immediate next movement, 1 frame ahead) (work in progress: full path sim by repeatedly drawing posterior predictive steps & turns)
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qntkhvn @qntkhvn.bsky.social · 19/03/2026
Full framework: 1. Movement characterization with tracking data features (step length & turn angle, inspired by animal movement literature) 2. Bayesian multilevel step-and-turn models 3. Posterior predictive simulation of player movement 4. Ghosting/hypothetical evaluation
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qntkhvn @qntkhvn.bsky.social · 19/03/2026
New paper by myself & @stat-ron.bsky.social arxiv.org/abs/2603.17866 We introduce a generative modeling framework to evaluate continuous-time player movement against a distribution of frame-level hypotheticals #cmsac #nfl #bigdatabowl #sportsanalytics #ghosting
arxiv.org
Bayesian multilevel step-and-turn models for evaluating player movement in American football
In sports analytics, player tracking data have driven significant advancements in the task of player evaluation. We present a novel generative framework for evaluating the observed frame-by-frame play...
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Posit @posit.co · 17/03/2026
Announcing Rapp 0.3.0: Turn your #RStats scripts into polished command-line tools. 🛠️ 💻 Rapp turns R scripts into polished command-line tools. New in 0.3.0: R expressions for CLI options & switches, support for switch() blocks, help menu from comments. Read more: tidyverse.org/blog/2026/02...
Rapp hex on a dotted background, the Posit logo in the corner
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qntkhvn @qntkhvn.bsky.social · 15/03/2026
This was a nice blog post back in the days qntkhvn.netlify.app/posts/2024-0...
qntkhvn.netlify.app
The Q: March Madness Seedigami
How does each seed perform?
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qntkhvn @qntkhvn.bsky.social · 09/03/2026
gaussian → von mises #rstats
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qntkhvn @qntkhvn.bsky.social · 08/03/2026
strim
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qntkhvn @qntkhvn.bsky.social · 07/03/2026
Did I hear "sports betting"? @stat-ron.bsky.social
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qntkhvn @qntkhvn.bsky.social · 07/03/2026
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qntkhvn @qntkhvn.bsky.social · 07/03/2026
I still embrace Rmd
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qntkhvn @qntkhvn.bsky.social · 07/03/2026
@statsinthewild.bsky.social
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qntkhvn @qntkhvn.bsky.social · 04/03/2026
who dis @statsinthewild.bsky.social
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American Soccer Insights Summit @americansoccerinsights.com · 03/03/2026
Recorded presentations from the 2026 ASI Summit are now live on YouTube. To see all of the incredible talks from this year's Summit, visit the link below: www.youtube.com/playlist?lis...
Now live: presentation videos. Find all recorded talks on our Youtube. Link below.
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Billy Fryer @billyfryer42.bsky.social · 27/02/2026
Registration for the 2026 #SMTDataChallenge is OPEN! We want to see what you would put “On the Big Screen!” We want to see how you can tell stories like SMT through a metric, visualization, or interactive fan experience that could be displayed on a MiLB scoreboard!
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qntkhvn @qntkhvn.bsky.social · 25/02/2026
New blog post qntkhvn.netlify.app/posts/2026-0...
qntkhvn.netlify.app
The Q: NFL CoD, Gaussian version
Modeling highly concentrated angular data
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qntkhvn @qntkhvn.bsky.social · 22/02/2026
@statsinthewild.bsky.social still does df[1,]
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qntkhvn @qntkhvn.bsky.social · 20/02/2026
I do this all the time too (also to avoid scientific notation)
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