Inspiration
What it does
Inspiration
Preparing for esports matches still involves a lot of manual effort. Coaches and analysts usually spend hours reviewing past games, tracking opponent habits, and preparing counter strategies. While watching professional match breakdowns, we noticed that most teams repeat similar analysis workflows every time. That sparked the idea of building a tool that could automate opponent scouting and help teams focus more on strategy rather than raw data collection.
What it does
Tactical Scout is an esports intelligence dashboard that helps teams analyze opponents and prepare strategies quickly.
It generates scouting reports using match data, highlights team strengths and weaknesses, and provides counter-strategy suggestions. The platform also includes a draft risk analyzer that evaluates champion compositions and flags potential balance or synergy issues.
Additionally, it includes a tactical assistant that answers coaching-style questions like ban strategy, counter picks, and win conditions.
How we built it
We built Tactical Scout using FastAPI for the backend and React with TailwindCSS for the frontend dashboard.
The system connects to esports match data through GRID APIs and processes that data to generate structured scouting insights. We designed the UI to feel like a real coaching dashboard so users can quickly understand analysis without digging through raw stats.
The draft analysis engine uses rule-based scoring combined with champion metadata, while the tactical assistant uses predefined coaching logic with optional AI-generated responses.
Challenges we ran into
The biggest challenge was converting raw match data into insights that actually help decision-making. We also had to design fallback logic when complete data wasn’t available, ensuring the system still produces meaningful results.
Balancing advanced analytics with simple user experience was another major challenge.
Accomplishments that we're proud of
We successfully built a complete scouting workflow instead of just a statistics viewer. Users can analyze opponents, evaluate drafts, and generate strategies inside one platform.
We’re also proud of building a system that remains usable even when match data is limited.
What we learned
We learned that presenting insights clearly is just as important as generating them. We also explored combining rule-based analysis with AI assistance to create consistent but flexible coaching suggestions.
What's next for Tactical Scout
We plan to expand support for multiple esports titles and introduce predictive draft simulations. We also want to explore real-time match analysis to help teams adapt strategies during live games.## How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Tactical Scout
Built With
- axios
- fastapi
- grid-esports-data-api
- local
- openai-/-gemini-apis
- python
- railway
- react
- state
- storage
- tailwindcss
- typescript
- vercel
- vite
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