Sports Analytics Product Design Agency
Sports Data & Pro-Tools
Sportradar, Genius Sports, EV+ Dashboards, Arbitrage, OddsMatrix.
Fantasy & Picks Platforms
Streak mechanics, pick'em UX, social layers, gamification, leaderboards.
Live Stats & Visualization
Real-time feeds, stat hierarchy, dashboards, research workflows.
Geo Adaptation
Asian High-Density UI, US/EU Minimalism, Localized UX Patterns.
Bet Research & Decision UX
Edge analysis, line movement, odds discovery, tipster platforms.
Prediction Markets
Event trading, market liquidity, Polymarket-style prediction UX.
Scenarios we handle.
From data-heavy MVPs to legacy product rebuilds.
UX & Retention Audit
Analytics Product MVP
Product Scaling
Product Optimization
Geo & Odds Adaptation
Dedicated Product Team
Sports work.
Analytics tools, odds platforms, sports-data apps:
4M users. 20% paid conversion. Real metrics from our sports analytics partners.
Design, data & engineering for sports analytics.
Built for sports data and fantasy. Real-time-ready and fully yours.
Ways to work with us.
Matched to your stage, budget, and speed:
Product Audit & Discovery
Best for. Products facing churn or low retention.
Output. UI/UX audit report + strategic roadmap.
Post-MVP Evolution
Best for. Fantasy, picks & sports-data startups (Seed / Series A).
Output. New features + testing + design system.
Product Rebuild & Redesign
Best for. Mature sports-data platforms hitting a growth ceiling.
Output. Rebranding + UI/UX system.
Frequently Asked Questions
What does a sports analytics design agency do?
We design data-heavy sports products — analytics platforms, fantasy and picks tools, betting research, and prediction markets. That means turning live odds, scores, and stats into decision interfaces users open daily: product strategy, UX/UI, design systems, and front-end.
What does Flatstudio do for sports analytics products?
Flatstudio is a sports analytics product design agency for data products, fantasy platforms, betting research tools, and prediction markets. We design and build UX for real-time stats, odds research, and decision interfaces — from MVP to full platform redesign.
How is this different from your iGaming work?
Sports analytics covers products where data is the product — research tools, fantasy, odds comparison, prediction markets. iGaming covers licensed operators — sportsbooks, casinos, white-label platforms. Different buyers, different UX problems. If you run a sportsbook or casino, see our iGaming page.
What's the difference between a generic design agency and a sports analytics agency?
A generic agency designs screens; we design for real-time sports data. We know how to render thousands of live data points, structure pick'em and fantasy mechanics, and adapt odds formats per market — without a brief explaining what a parlay or line movement is.
We're building a serious analytical tool (like Outlier). Can you handle complex data?
That's our core specialty. We organize thousands of data points — odds movements, live scores, stat lines — into clean, readable interfaces without overwhelming the user. Outlier users spend 4:31 per session inside stat-heavy research screens.
Do you work with sports data providers?
Yes. We design on top of providers like Sportradar, Genius Sports, and OddsMatrix, as well as custom data backends. We understand their API constraints and frontend limitations, so the product layer fits the data you already have.
Do you design fantasy sports and pick'em platforms?
Yes — it's one of our core areas. We design streak and pick'em mechanics, social and gamification layers, and leaderboards — the engagement loops that turn a one-time install into a daily habit.
Do you design prediction market products?
Yes. We design prediction markets and event trading products — market liquidity displays, odds-style pricing, and wallet flows where needed — making complex market mechanics readable for mainstream users.
How much does it cost to design a fantasy, picks, or sports-data product?
It depends on scope. A focused UX audit and redesign of friction points costs far less than a build from scratch. The best way to get a precise number is a short discovery — we scope it against your stage and data complexity.
How long does it take to design a sports app or data platform?
A focused product audit runs 2–4 weeks. A full MVP or redesign depends on data complexity and number of sports — we scope a clear timeline during discovery rather than quote blind.
What's your engagement model, and what happens after launch?
Four models by stage: Product Audit & Discovery (fixed project), Post-MVP Evolution (growth retainer), Product Rebuild & Redesign (full-cycle), and Dedicated Product Team (long-term partnership). Sports products evolve fast — for ongoing work we embed a team that keeps adding sports, data providers, and features so you keep closing the gap to category leaders.
Do you sign NDAs? Who owns the work?
Yes — strict confidentiality agreements signed before we even discuss your idea or see your data. You retain full commercial ownership of all assets upon final payment: source files, design systems, and code.

























