04 / 04 · Gaming analytics2026 · Final phase

Statify

Product interface — selected view

The premise

Statistics matter when they become something a player can use.

Statify combines Riot match data, visual trends, live context, and AI coaching in a profile that is useful at a glance and rewarding to explore. The product moves from raw performance history toward specific player understanding.

Experience

An AI-powered League of Legends performance analyzer built around player context, patterns, and coaching.

01
A profile with a point of view
Rank, recent form, champion patterns, and match history share one visual hierarchy.
02
Patterns over isolated matches
Trends and sparklines make movement visible without turning the experience into a spreadsheet.
03
Coaching in context
AI analysis uses real player data to turn observations into focused next steps.

The system

From the visible to the invisible

01
Experience
Search, player profiles, match history, live games, leaderboards, and champion meta.
- Profiles
- Live game
- Leaderboard
02
Operation
Match records and ranked data are normalized into player-centered views and trends.
- Matches
- Rankings
- Trends
03
Automation
AI coaching, profile refresh, tracking, favorites, and sharing extend the core analysis.
- AI coaching
- Tracking
- Sharing
04
Infrastructure
Riot data, relational storage, and AI services meet behind a typed API.
- Riot API
- Hono
- PostgreSQL
- OpenAI