Copy of Glicko Matchmaking System (Simplified)

About this model

This diagram models a simplified Glicko matchmaking system, an algorithm commonly used in competitive gaming for evaluating player skill levels, as seen in popular games like Pokémon Go, CS:GO, and Team Fortress 2. The core of the diagram revolves around the dynamics of player interactions through matches, affecting their rating (R) and rating deviations (RD). It allows for the modeling and simulation of wins and losses based on match participation, with a specific focus on how these results impact a player's overall rating. Wins increase the rating, while losses decrease it, adhering to the principle that a player's skill level is reflected by their win-loss record.

Furthermore, the model incorporates the concept of Ratings Deviation (RD), which quantitatively represents the uncertainty in a player's rating. The RD adjusts based on activity. If a player participates in at least two matches per day, their RD decreases, implying increased confidence in the player's rating accuracy. Conversely, inactivity leads to an increase in RD, indicating a loss of confidence in the rating's precision. The system also considers the probability of logging in and playing matches, affecting the accumulation of wins and losses and consequently, the player’s rating and RD. This setup offers insights into how different rates of participation and performance outcomes can influence a player's standing within a competitive environment.

"Copy of Glicko Matchmaking System (Simplified)" is a public Machinations diagram shared in the Community by Sajad Roudbari, with 39 components.

It was created in March 2025 and last edited in March 2025.

Open the diagram in the Machinations app and press Play to watch the resources move, adjust its values to test how the system responds, or remix it to make an editable copy in My diagrams.