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Volume 3,Issue 8

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26 September 2025

Using Visualization Data to Explore the Fairness of One Game's Matching Mechanism

Yuxuan Zhu*
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1 Manchester University, Tai’an 271000, Shandong, China
LNE 2025 , 3(8), 65–68; https://doi.org/10.18063/LNE.v3i8.826
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

This article explores the fairness of the matching mechanism in the card game “Harry Potter: Magic Awakening” through visual data analysis methods. The study compared the ratio of card level to opponent level and win rate between experienced players and newly registered players by setting up two test accounts. The experiment found that the system matches lower-level opponents for beginners and higher-level opponents for experienced players, thereby maintaining a win rate of around 50% for both sides. This reveals the mechanism of the game by dynamically adjusting the matched opponents to control the player’s win rate. The chart data further shows that matching fairness is higher during peak player activity periods (such as in the evening). Despite the limited sample size and uncertainty, this study warns players to pay attention to the inherent rules of the game and points out the duality of such mechanisms in maintaining the general player experience.

Keywords
Matching mechanism
Data visualization
Game fairness
Winning rate control
References

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