AthlyticZ Masterclass · Live Sports Data Science Weekly
The Technical Masterclass
Live sports data science, every week, for $129 a month.
A live room every week where a working practitioner builds something
real on sports data while you watch and ask questions. Six tracks. Twenty-three instructors.
Everything the session leaves behind.
Eight capabilities, and the people who teach them.
The capability comes first because that is
what you are buying. The name comes second because that is who you learn it from. Every one of them
does this work now.
Build an interactive portfolio that stands out now that everyone has AI
Builds sports analytics products and runs hiring-side reviews.
Michael S. Czahor, PhD
Build applications your colleagues can actually open and use
Builds production Shiny applications for sport.
Veerle Eeftink - van Leemput
Build LLM-powered data tools in R, grounded in your own data
Builds LLM-powered data tools in R.
Nic Crane, PhD
Deploy data applications to production, so they keep running without you
Deploys data applications to production.
Stefan Linner
Build statistical models on real sports data, and know what they support
Builds statistical models on real sports data.
Greg Matthews, PhD
Build automated pipelines that run unattended on game day
Builds automated pipelines that run unattended.
Jasmine Daly
Build player evaluation and scouting tools
Builds player evaluation and scouting tools.
Saiprasad Kagne
Build Bayesian models in PyMC on applied sports data
These are practitioners and academics who have looked at what we build and put their names to it.
I've always been intrigued by the intersection of sports analytics and data science. AthlyticZ provides students with the perfect platform to explore this passion. The hands-on projects are particularly empowering, allowing them to apply theoretical concepts to real-world scenarios.
Brad Smith, PhDSenior Performance Analyst, University of NebraskaSports Analytics Professor, Data Science Program, NorthwesternPlayer Development Analyst, New York Yankees 2018-2021
The six tracks
We point the calendar at what is being asked for.
Most curricula are set once and then defended for three years. Ours is not. We read job postings
continuously and point the calendar at what is being asked for. When a stack shows up in enough
postings, it turns into a session.
That is why the six tracks below are not a syllabus. They are the shape of the work right now, and
the shape moves.
Modeling
Statistical models on real sports data. The question, the fitted thing, and what it will not support.
App Development
Applications a colleague can open and use without you standing behind them.
Production
Getting work off your laptop. Deployment, scheduling, pipelines that survive you not watching.
LLM Tools
Claude and other models as working tools, grounded in real data, with the guardrails named.
Sports Analytics
Tracking data, scouting material, and the products built out of them.
Career
The Film Room, monthly. Portfolio work and interview practice from the hiring side.
Veerle teachingApplication architecture worked through live, not described.
Hierarchical models · soccer
Which finishers beat their expected goals?
Shots land one at a time by position, gold for goals and hollow for misses. Then the posterior expected-goal surface fades up underneath them, which is the thing you actually model.
AI, as a subject
We teach working with Claude. It is a track, not a footnote.
Every course provider now claims AI. Most mean a lesson about prompts bolted onto an old
curriculum. LLM Tools is one of our six tracks, it runs every month, and the sessions build working
things: a chat interface over a real dataset, a scouting document turned into a production app, an
agentic workflow with a human kept in the loop on purpose.
It also runs through the other five, because that is how the work goes now. You do not do modeling
and then separately do AI. You use the model to move faster and you still have to know whether the
answer is right.
On the calendar right now:
Ask the Box Score Anything: Natural Language Queries with querychat
Paper to Pipeline: Turning Scouting Reports into a Production App with Claude
Kickoff to Production in Minutes: Claude Code for Sports Analytics Shiny Apps
Keeping a Human in the Loop of Agentic Coding
Differential equations · sprinting
Where does the speed actually come from?
The sprint ODE integrated in ten millisecond steps across 9.58 seconds. Acceleration collapses as velocity approaches the ceiling, which is why the last forty metres look flat.
The IDE, compiling a Stan programA Stan model compiling on baseball data inside the provisioned environment. This is the editor students actually work in.
Are you a high school student trying to stand out?
You are competing with applicants who all have the same coursework. What you do not have is something built with professional tools that you can talk about for ten minutes. That is what a live build gives you, and the Film Room is where it gets reviewed.
Are you trying to break into analytics?
The gap is almost never the statistics. It is that nothing you have built looks like the work, because you have never watched the work happen. Six tracks and a room every week is the cheapest way to fix that.
Are you already in a front office and falling behind the stack?
The tooling moved. Your job did not stop while it did. A weekly room with somebody who deploys this for a living is how you catch up without taking a sabbatical.
Chris Fonnesbeck teaching a masterclassA Bayesian modeling room, mid-build.
AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The instructors are the best of the best, and the practical projects have immediate impact to students.
Bill Geivett, M.Ed.President, IMA TeamAuthor, Do You Want to Work in Baseball?Sr. VP, Colorado Rockies 2001-2014Asst. GM, Los Angeles Dodgers 1998-2000Trimmed with permission.
Proof of liveness
The next six rooms, already on the calendar.
Monday August 31The Film Room: The Portfolio That Gives the TourMichael S. Czahor, PhD
Friday September 4The Farm System: Modular App Design for ShinyVeerle Eeftink - van Leemput
Wednesday September 9Ask the Box Score Anything: Natural Language Queries with querychatNic Crane, PhD
Friday September 11The No-Look Pass: Sharing State Between Shiny ModulesVeerle Eeftink - van Leemput
Wednesday September 16Paper to Pipeline: Turning Scouting Reports into a Production App with ClaudeMichael S. Czahor, PhD
Thursday September 17Kickoff to Production in Minutes: Claude Code for Sports Analytics Shiny AppsStefan Linner
The live calendarThe next four sessions, straight from the site.
Every room on that calendar, and every one after it.
What a live room is
Not a webinar. A build, with questions in it.
Seventy-five minutes. Somebody who does this work opens an editor and builds something real on
sports data while you watch. You ask questions in the room and they get answered in the room.
The decisions get explained as they are made, which is the part a finished tutorial never shows.
Why this method and not the obvious one. What to do when the data is wrong.
Greg Matthews on modelingReading a cross-validation plot: which lambda to take, and why.
Bayesian modeling · golf
How often should you make that putt?
Grouped results from 5,988 putts, threaded by a model with one free parameter: the aim error. The faint gold curves are posterior draws, still moving because the fit is a distribution rather than a line.
Every practice environment I looked at had the same flaw. Somebody types the numbers into the
exercise by hand. Then the data moves and the numbers do not. A student works through it, gets a
wrong answer confirmed, and walks away certain. That is worse than no practice.
So Worlds is built out of the courses themselves. Each one comes from a single course's own code,
data and recordings. Their dataset. Their approach. What they did, not a generic exercise set with
their name on the top.
Every quantity is computed live from the source data. Every instructor quotation is checked
against the recording. Nothing is published unless its reference solution runs and passes its own
tests. So if it is in front of you, it works. When something breaks, it was you, and that is the
useful kind of broken.
AthlyticZ WorldsA practice world worked through end to end.
The sports industry moves fast. Managing the pace of evolving technology, data, and AI isn't optional - it's imperative. Our Analytics team was looking for a partner to meet us where we are, to help us in the continued investment of our people and capabilities without pulling us away from the work that matters. AthlyticZ delivers exactly that: a structured, practitioner-led platform that fits how modern sports analytics groups actually operate.
Adam UnesSenior Director, Analytics, Excel Sports Management
The environment
One click from a browser into working tools.
We are an official Posit Managed Services Partner. Practically, that means every session runs in a
fully provisioned professional environment. Packages resolved. Data mounted. Nothing to install, and
no version drift between you and the instructor.
Nobody spends the first twenty minutes of a live session fixing their laptop.
Posit Workbench, provisionedPackages resolved, data mounted, nothing installed locally.
What it adds up to
Counted, so you can check us.
1,000+lessons in the course catalog, one tier up at Membership
30day replay window on every session
9courses and three bundles behind the catalog
Every number on this page is countable. The lessons are enumerable in the catalog, the sessions
are on the calendar with dates and names, and the instructors are listed. Nothing here is rounded up
from an estimate.
What we are
An academic platform that charges like a subscription.
Our instructors hold doctorates and sit on graduate advisory boards. Our claims are countable and
our limitations are printed beside our credentials. The price is $129 a month, month to month, with
no application and no admissions call.
You are not buying a life decision. You are buying this
month.
Where it leads
A record you can point at.
The Masterclass sits inside a defined credential pathway culminating in a verifiable digital badge
issued through Credly, a Pearson company.
We provide completion records. We are not a
degree-granting or accrediting institution. If a formal credential is a requirement for you, this
complements an accredited pathway rather than replacing it.
We've teamed up with AthlyticZ to supercharge how we use data science and statistics to impact our sports. More clarity in the numbers means bigger results for our athletes.
Bryce MurphyDirector of Performance Science and Innovation, IMG AcademyFrom a public LinkedIn post.
The whole deal
$129 / month
Every live masterclass room, every week, across all six tracks
The recording of every session, with a 30-day replay window
The session code and the notes, every time
Bonus walkthroughs between sessions
The Film Room, once a month
The provisioned professional environment, nothing to install
The live platform. Every live masterclass room, the recording with a 30-day replay window, the session code and notes, bonus walkthroughs, The Film Room, and the provisioned environment.
What is not included?
Not included: the self-paced course catalog. Those 1,000+ lessons belong to Membership, which contains everything in the Masterclass and adds them. If the catalog is what you want, that is the tier to look at.
Do you actually teach AI, or just mention it?
It is a track. Claude and other models are taught as working tools, with sessions on the calendar right now, and they show up across the other tracks too because that is how the work goes.
What if I miss a week?
Every session is recorded with a 30-day replay window. The cadence is weekly, so a missed week costs you a replay, not the thread.
Do I have to install anything?
No. Every session runs in a provisioned professional environment you reach from a browser. We are an official Posit Managed Services Partner, which practically means the environment is our job.
Can I cancel?
Yes. It is monthly. The rate you join at locks for twelve months, so leaving and returning later may cost more, but leaving takes one click.
What level do I need to be?
Sessions state their level, and the six tracks run from foundations to production. Watching a practitioner decide is useful one level up and one level down from wherever you are.
Michael S. Czahor, PhD
Saiprasad Kagne
Chris Fonnesbeck, PhD
