Browse Items (6 total)

Švec, O. (2022). Predicting Counter-Strike Game Outcomes with Machine Learning.

Oksala, A. (2022). The importance of communication in esports: an ethnographic interview with a Finnish Counter-Strike: Global Offensive team.

Rubin, A. (2022). Predicting Round and Game Winners in CSGO.

Irwin, S. V., & Naweed, A. (2018). BM’ing, Throwing, Bug Exploiting, and Other Forms of (Un)Sportsmanlike Behavior in CS:GO Esports. Games and Culture, 15(4), 411-433.

Bednárek, D., Kruliš, M., Yaghob, J., & Zavoral, F. (2017). Data Preprocessing of eSport Game Records: Counter-Strike: Global Offensive. In DATA 2017 – Proceedings of the 6th International Conference on Data Science, Technology and Applications (pp.…

Al Dafai, S. (2016). Conventions within eSports: Exploring Similarities in Design. Proceedings of 1st International Joint Conference of DiGRA and FDG.
Output Formats

atom, csv, dcmes-xml, json, omeka-xml, rss2