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Investigating Match Performance Differences between Genders of League of Legends Champions

Published: 21 October 2021 Publication History

Abstract

Released in October 2009 by Riot Games, League of Legends is a multiplayer online battle arena game. Typically played in teams of five, each player picks a champion to take on either the role of Top, Middle, Jungle, Attack Damage Carry, or Support. The over 150 champions in the game can be broadly categorized into male, female, and other/unknown (e.g., monsters and robots). In this study, we analyze approximately 1.9 million champion match statistics to determine if there was a systematic gender bias in the way the male and female characters are created and played. We determined that each role has champions that have match statistics that differentiate the genders with roles such as Support and Jungle being the most severe. Further, while there are a few champions that are counter to classic stereotypes (such as the heavily defensive male and the healing support female), many of the champions still fit these stereotypes.

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Cited By

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  • (2023)Gender disparities in esports – An explanatory mixed-methods approachComputers in Human Behavior10.1016/j.chb.2023.107956149:COnline publication date: 1-Dec-2023
  • (2022)Action2Score: An Embedding Approach to Score Player ActionProceedings of the ACM on Human-Computer Interaction10.1145/35494836:CHI PLAY(1-23)Online publication date: 31-Oct-2022
  1. Investigating Match Performance Differences between Genders of League of Legends Champions

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    FDG '21: Proceedings of the 16th International Conference on the Foundations of Digital Games
    August 2021
    534 pages
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 21 October 2021

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    Author Tags

    1. Data Science
    2. Gender Bias
    3. League of Legends
    4. Meta Gaming

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    View all
    • (2023)Gender disparities in esports – An explanatory mixed-methods approachComputers in Human Behavior10.1016/j.chb.2023.107956149:COnline publication date: 1-Dec-2023
    • (2022)Action2Score: An Embedding Approach to Score Player ActionProceedings of the ACM on Human-Computer Interaction10.1145/35494836:CHI PLAY(1-23)Online publication date: 31-Oct-2022

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