League of Legends Analytics
A curated collection of guides, libraries, and resources for analyzing League of Legends data, covering solo queue, esports, and client APIs.
Overview
League of Legends Analytics is a comprehensive repository that gathers publicly available resources for data analysts working with League of Legends data. It serves as a centralized hub for tutorials, libraries, datasets, and community projects, making it easier for analysts to find the tools and information they need.
Key Features
- Data Source Catalog — Detailed guides for accessing solo queue, esports, static, and client data from various APIs and providers.
- Curated Resource Lists — Aggregated libraries, tutorials, written pieces, videos, and GitHub repositories from the community.
- Community Links — Direct connections to relevant Discord servers and developer communities for collaboration and support.
- Learning Materials — Educational content ranging from beginner tutorials to advanced research papers on game analytics.
Philosophy
The project aims to democratize access to League of Legends data analysis by collecting and organizing scattered community resources into a single, accessible location, inspired by similar efforts in other sports analytics domains.
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.