Consulting & Advisory
Need a player projection model? A Shiny dashboard for your front office? A data pipeline that doesn't break? We build it, validate it, and hand you the keys. Deliverable-based consulting from people who've done the work inside pro sports and top research institutions.
What We Build
Every engagement ends with something that works. Deployed, documented, and yours to own.
Bayesian player projections, win probability models, injury risk frameworks, draft valuation systems. Built in R or Python with Stan, PyMC, or scikit-learn. Validated, documented, and production-ready.
Production Shiny apps, interactive dashboards, scouting tools, and decision support systems. Deployed, mobile-friendly, and built for non-technical stakeholders to actually use.
Pipelines that pull, clean, and unify data from multiple sources. Automated ingestion, version-controlled schemas, and reproducible workflows. No more CSV folders and manual updates.
Practical AI integration. Scouting report summarization, natural language data querying, video tagging automation, and agentic LLM-powered research tools. Not hype. Deployed tools your team uses daily.
Deep-dive research projects with clear findings and recommendations. Causal inference studies, competitive analysis, market research, and strategic assessments. Delivered as actionable reports, not academic papers.
Ongoing advisory for analytics leadership. What should your department build next? What tools should you adopt? How should you hire and structure your team? Senior-level perspective on retainer.
Who Hires Us
Our consulting clients come from every corner of the data science landscape. If you have data and need it turned into something useful, we're probably a fit.
Front offices and athletic departments that need a model built, a dashboard deployed, or a pipeline fixed. One-off projects or recurring builds.
Vendors, platforms, and startups that need analytics products, API integrations, demo apps, or research to support their product roadmap.
Outlets and creators that need data-driven content tools, interactive visualizations, projection systems, or research-backed analysis.
Universities, labs, and think tanks that need statistical modeling, data engineering, or Shiny applications for their research programs.
Companies building data products who need sports-domain demo applications, proof-of-concept builds, or customer-facing analytics tools.
League offices, federations, and associations that need analytics infrastructure, reporting tools, or competitive balance research.
Process
Four steps. No mystery. You know what you're getting before we start.
30 minutes. You describe the problem. We ask questions. We figure out if we're the right team for this. If we're not, we'll tell you and point you somewhere better.
We write a clear scope document: what we're building, what tools we're using, what you'll receive, timeline, and cost. Fixed-fee or hourly depending on the project. No surprises.
We build. You get regular progress updates and check-ins so you can course-correct early. We don't disappear for 8 weeks and come back with something you didn't ask for.
You get the deliverable: deployed, documented, and explained. We walk your team through it, answer questions, and make sure you can maintain it without us. The work is yours.
Why AthlyticZ
Common Questions
30-minute discovery call. Describe the problem, we'll tell you if we can solve it and what it would take.