openskill.py — A fast and open multiplayer rating system…

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About this project

In the competitive realm of online gaming, accurate skill assessment is paramount. OpenSkill.py offers a swift and adaptable rating system, providing players with improved matchmaking and gameplay balance. This open-source solution stands out against traditional systems like TrueSkill, making it a vital tool for gaming communities seeking fairness and precision.

This repository, openskill.py, offers a sophisticated multiplayer rating system that promotes seamless matchmaking in competitive games. Designed as a more flexible and rapid alternative to Microsoft's TrueSkill system, it caters to the dynamic needs of online gaming communities by accurately measuring and comparing players' skill levels.

Key Features

Designed for Multiplayer Environments: The system accommodates various game formats, including multiplayer and asymmetric faction sizes, ensuring that every match remains fair and balanced.
High Performance: Enjoy faster calculations, with OpenSkill delivering performance that is 150% quicker than TrueSkill, while maintaining comparable accuracy.
Comprehensive Functionality: OpenSkill includes features such as predicting wins, draws, rankings, and the ability to handle score margins and weighted contributions effectively.
Technical Efficiency: The library is crafted entirely in Python, supporting both CPython and PyPy, and features 100% test coverage along with C-compiled wheels for improved performance.
Open License: The system is under an open license, promoting transparency and collaborative development.

Usage Example

Utilizing OpenSkill is straightforward. Here's a quick example of how to implement the PlackettLuce model:

from openskill.models import PlackettLuce

model = PlackettLuce()

# Fetching initial rating
rating = model.rating()

# Rate participants
[[a, b], [x, y]] = [[rating(), rating()], [rating(), rating()]]
[[a, b], [x, y]] = model.rate([[a, b], [x, y]])

# Check new ratings 
a
# Output: PlackettLuceRating(mu=26.96, sigma=8.18)

Community Support

Users are encouraged to engage with the community for assistance and discussions. For any queries, please visit our official Discord Server or the discussions section in the repository.

References and Implementations

This project is derived from openskill.js and is backed by research outlined in significant studies of online ranking systems. For those interested in implementations across different programming languages, OpenSkill has versions available in JavaScript, Elixir, Java, Kotlin, and Lua.

By adopting the OpenSkill rating system, developers can enhance their online gaming platforms, ensuring a better matchmaking experience for players.