Inspiration
In professional esports, teams have access to a massive amount of data, but very little time to transform it into actionable decisions. Coaches must analyze complex statistics, identify patterns invisible to the naked eye, and connect individual errors to collective performance—often under pressure and with fragmented tools.
Inspired by the Moneyball approach and Cloud9's performance culture, C9 Insight Coach was born from a simple question: How can we transform raw data into clear, fast, and actionable decisions for esports teams?
What it does
C9 Insight Coach is a near real-time, intelligent training assistant for League of Legends and VALORANT.
It analyzes official GRID data to: detect recurring individual player errors, measure their impact on the team's overall strategy, identify trends, weaknesses, and collective strengths, and generate actionable recommendations for coaches and players. The tool doesn't just display statistics; it analyzes the data to provide understandable and immediately actionable insights.
How we built it
We built C9 Insight Coach using:
JetBrains IDEs for development and project architecture, Junie to accelerate data exploration and prototyping, Official esports data from GRID (LoL/VALORANT), An AI analytics and data science layer to connect individual data with team results, A clear, coach-oriented dashboard designed for quick reference before or after a match. The focus was on clarity, business relevance, and speed of analysis.
Challenges we ran into
Transforming complex and voluminous data into simple and understandable insights Properly linking individual errors to their real strategic impact Finding the right balance between analytical depth and readability for coaches Designing a flexible architecture that can scale to near real-time
Accomplishments that we're proud of
Having created a decision-oriented AI assistant, not just a statistical one Providing actionable recommendations for real coaches Effectively leveraging GRID data in a competitive environment Designing a tool aligned with professional esports standards
What we learned
The best analyses are those that lead to clear action. Coaches need priorities, not cluttered spreadsheets. AI delivers the most value when it structures and contextualizes information. Good visualization is just as important as data quality.
What's next for C9 Insight Coach
Planned future developments: Near real-time analysis during matches Automatic generation of scouting reports Integration of an AI draft assistant Advanced customization by team, role, and patch Deployment across professional teams' competitive workflows
Built With
- grid
- javascript
- jetbrains
- junie
- next
- python
- react
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