Extracting and Composing a Dataset of Competitive Counter-Strike Global Offensive Matches

• Erick Rocha Federal University of Rio de Janeiro
• Henrique Maio Federal University of Rio de Janeiro
• Daniel S. Menasché Federal University of Rio de Janeiro
• Claudio Miceli Federal University of Rio de Janeiro

DOI: https://doi.org/10.5753/dsw.2021.17412

Abstract

There is a growing necessity for insightful and meaningful analyticswithin eSports: be it to entertain spectators as they watch their favorite teamscompete, to automatically identify and catch cheaters or even to gain a com-petitive edge over an opponent, there is a plethora of potential applicationsfor analytics within the scene. It follows then, that there is also a necessityfor well structured and organized datasets that enable efficient data explorationand serve as the foundation for the visualization and analytics layers. Becauseof this, the entire process - from data collection at the source to the means ofaccessing the desired information - need to be planned out to address thoseneeds. Our work provides the means by which to construct such a dataset forthe Counter-Strike Global Offensive (CS:GO) game, thus opening up a range ofpossible applications on top of the data

Keywords: dataset eSports counter-strike cs:go data

References

Bednárek, D., Zavoral, F., and Yaghob, J. (2017). Data preprocessing of esport game records - counter-strike: Global offensive. In In Proceedings of the 6th International Conference on Data Science, Technology and Applications - DATA, 269-276, 2017, Madrid, Spain.

El-Harami, J. (2015). Entertainment and recreation in the classical world-tourism products. In Journal of Management and Sustainability; Vol. 5, No. 1; 2015.

SuperData (2021). 2020 year in review digital games and interactive media. Technical report, SuperData, a Nielsen company.

Varvello, M., Picconi, F., Diot, C., and Biersack, E. (2008). Is there life in second life? In Proceedings of the 2008 ACM CoNEXT Conference, pages 1–12.

Varvello, M. and Voelker, G. M. (2010). Second life: a social network of humans and bots. In Proceedings of the 20th international workshop on network and operating systems support for digital audio and video, pages 9–14.

Xenopoulos, P., Doraiswamy, H., and Silva, C. (2020). Valuing player actions in counterstrike: Global offensive. In In Proceedings of the 2020 IEEE International Conference on Big Data.