engineering-matchmaking-system

Skill-based matchmaking pairs players by evaluating their ELO or Glicko-2 ratings to ensure fair competitive play. It automates pairing logic using queue management and lobby orchestration to group players with similar skill levels.

Player queue management handles waiting times and prioritizes users based on performance. Using BullMQ and Redis, the system processes match queues efficiently to orchestrate lobbies and maintain steady match flow for live gaming.

Yes, PostgreSQL and Redis are required dependencies for the automated ELO matchmaking system. PostgreSQL handles player data persistence, while Redis and BullMQ manage the background queue processing necessary for lobby orchestration.

Glicko-2 and ELO are both supported rating systems for ranking players in competitive multiplayer games. The system applies these algorithms to measure player skill, automatically matching users based on their calculated rating and queue performance.

Yes, this queue management approach is designed for server-side infrastructure in live online gaming. By leveraging BullMQ and Redis for queue orchestration, it scales to handle match quality and player data persistence for gaming platforms.