Towards a Community-Based Ranking System of Overwatch Players

David Staat, Günter Wallner, Regina Bernhaupt

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Competitive games usually feature some sort of ranking system to rank players or teams based on their performance. As such these ranking systems allow to draw comparisons across players. In many cases, however, the details of the ranking system are not made transparent to the player community. On the other hand, the community may have a different opinion on which factors should more or less influence a player’s or team’s rank. In this paper, we report on our first steps towards a community-based ranking system for the professional Overwatch scene built upon results of a survey conducted among the game’s community. Further, we reflect on challenges and discuss possibilities for future work.
Original languageEnglish
Title of host publicationEntertainment Computing - ICEC 2022
Editors Springer, Cham
Pages309-319
Number of pages11
Publication statusPublished - 2022

Fields of science

  • 102 Computer Sciences
  • 102003 Image processing
  • 102008 Computer graphics
  • 102015 Information systems
  • 102020 Medical informatics
  • 103021 Optics

JKU Focus areas

  • Digital Transformation

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