This project lets you try out different algorithms for matchmaking (constructing fair games) and MMR-scoring (adjusting players' ratings based on their wins/losses). Environmental settings, such as skill distribution in the player population, and players' gaming-duration habits, are also configurable. Using pygame, the performance of a matchmaker can also be shown in real-time.

• "Engine" (the main class) delegates work to other more specialised classes
• "Environment" controls the players' behaviour outside of games, and determines game outcomes.
• "Matchmaker" is responsible for matching players from the queue into new games, prioritizing short wait times and fair games.
• "MmrEngine" is responsible for adjusting the MMR-ratings of individual players from the winning/losing team after a game has finished.

MatchMaker and MmrEngine are meant to be supplied by the user (although there are available default versions)

• Run the code in main.py, try out different available matchmakers
• Start a graphic demo of a matchmaker using the Demo-class
• Write your own matchmaker (extending the class MatchMaker)
• Write your own MMR-engine (extending the class MmrEngine)
• Write a more advanced/realistic environment than the default one