Towards a Community-Based Ranking System of Overwatch Players

David Staat; Günter Wallner; Regina Bernhaupt

doi:10.1007/978-3-031-20212-4_25

Towards a Community-Based Ranking System of Overwatch Players

David Staat
, Günter Wallner
, Regina Bernhaupt

Institute of Computer Graphics

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-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 language	English
Title of host publication	Entertainment Computing - ICEC 2022
Editors	Barbara Göbl, Erik van der Spek, Jannicke Baalsrud Hauge, Jannicke Baalsrud Hauge, Rod McCall
Pages	309-319
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-031-20212-4_25
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13477 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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

Access to Document

10.1007/978-3-031-20212-4_25

Cite this

Staat, D., Wallner, G., & Bernhaupt, R. (2022). Towards a Community-Based Ranking System of Overwatch Players. In B. Göbl, E. van der Spek, J. Baalsrud Hauge, J. Baalsrud Hauge, & R. McCall (Eds.), Entertainment Computing - ICEC 2022 (pp. 309-319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13477 LNCS). https://doi.org/10.1007/978-3-031-20212-4_25

Staat, David ; Wallner, Günter ; Bernhaupt, Regina. / Towards a Community-Based Ranking System of Overwatch Players. Entertainment Computing - ICEC 2022. editor / Barbara Göbl ; Erik van der Spek ; Jannicke Baalsrud Hauge ; Jannicke Baalsrud Hauge ; Rod McCall. 2022. pp. 309-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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{\textquoteright}s or team{\textquoteright}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{\textquoteright}s community. Further, we reflect on challenges and discuss possibilities for future work.",

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Staat, D, Wallner, G & Bernhaupt, R 2022, Towards a Community-Based Ranking System of Overwatch Players. in B Göbl, E van der Spek, J Baalsrud Hauge, J Baalsrud Hauge & R McCall (eds), Entertainment Computing - ICEC 2022. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13477 LNCS, pp. 309-319. https://doi.org/10.1007/978-3-031-20212-4_25

Towards a Community-Based Ranking System of Overwatch Players. / Staat, David; Wallner, Günter; Bernhaupt, Regina.
Entertainment Computing - ICEC 2022. ed. / Barbara Göbl; Erik van der Spek; Jannicke Baalsrud Hauge; Jannicke Baalsrud Hauge; Rod McCall. 2022. p. 309-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13477 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AB - 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.

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DO - 10.1007/978-3-031-20212-4_25

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Staat D, Wallner G, Bernhaupt R. Towards a Community-Based Ranking System of Overwatch Players. In Göbl B, van der Spek E, Baalsrud Hauge J, Baalsrud Hauge J, McCall R, editors, Entertainment Computing - ICEC 2022. 2022. p. 309-319. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-20212-4_25

Towards a Community-Based Ranking System of Overwatch Players

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