C9 Scouting Report Assistant

Inspiration

Before every competitive match, coaching staff spend hours researching opponents—watching VODs, tracking compositions, profiling players. We wanted to automate this tedious process and deliver professional-grade scouting intelligence instantly using the GRID API.

What it does

Cloud9 Scouting Report provides:

Generate Report - One-click comprehensive opponent analysis
Threat Ranking - Enemy players ranked by danger level
Counter Strategy - AI-generated tactical recommendations
Map Stats - VALORANT attack/defense breakdowns by map
Ask Coach AI - Natural language queries about opponents
Report History - Archive of previously generated reports

How we built it

Frontend: React 18 + TypeScript with Vite, styled with TailwindCSS
Backend: FastAPI (Python) with specialized analysis services
Data: GRID Central and Live Data APIs via GraphQL
AI: Groq LLM for counter-strategy generation and threat analysis
Services: Opponent Analyzer, Player Profiler, Composition Tracker

Challenges we ran into

Data Aggregation: Combining match data across multiple series into coherent player profiles
Threat Scoring: Developing a meaningful algorithm to rank player danger levels
Multi-game Support: Building abstractions that work for both LoL and VALORANT scouting
Real-time Report Generation: Balancing analysis depth with response speed

Accomplishments that we're proud of

Instant Reports: Full scouting reports generated in seconds, not hours
Threat Detection: Intelligent system that identifies and ranks dangerous players
Natural Language Interface: Ask Coach AI that answers questions about opponents
Cross-game Support: Same intuitive experience for both LoL and VALORANT