DataLouna is an analytics platform for CS2 and Dota2, positioned as the next evolution after HLTV: deeper data, a modern visual language, a format built for the Russian-speaking audience of 2026.
Role: Senior Product Designer.
Team: Product Owner (makes product decisions), Front-end Developer (implementation and handoff from the design system), me as Senior Product Designer.
Stack: Vue.js + TypeScript + CSS Variables.
Target audience: CS2 fans (50%), bettors (10–25%), analysts (10%), newcomers (10–15%).
Current status: the platform is being fully rebuilt, from a predictions tool into a comprehensive CS2 analytics platform. Predictions become a secondary feature.
Before me, the product had exactly one value proposition: match predictions. Everything else was designed from scratch as part of this pivot, 12+ sections: the match page, dashboard, tournaments (list and individual tournament page), matches and tournaments, statistics (main, comparison, by team), player profile, predictions, a dedicated Design Research process, and Design System 4.0 tying it all together in one visual language. This isn't a redesign of existing screens, it's building a platform where a single-function tool used to be.
Ran a competitive analysis to see where the market had already solved the user's need, and where it hadn't:
This analysis produced the product's core principle, Zero UI: show what matters first, depth opens on request. One dominant message per screen.
A CS2 fan wants to understand a match's context in a couple of minutes: what form the teams are in, who the key players are, what happened in their past meetings. Instead, he opens HLTV on his phone with its desktop layout, digs through 2017-style tables, and manually pieces the picture together from three tabs.