How Randomness Affects Player Ability to Predict the Chance to Win at PlayerUnknown’s Battlegrounds (PUBG)

Abstract:

This paper discusses how random factors affect player ability to predict the chance of winning the video game PlayersUnknown’s Battlegrounds (PUBG) which is a genre of the Battle Royale online video game. The purpose of this study is to investigate the influence of random factors such as location, air drop, playzone, and weapon accuracy on the chance to win at PUBG. The study tested and used the random effects model where location, air drop, playzone, and weapon accuracy are classified as external factors that influence a perceived randomness in the game. Perceived randomness and perceived skills are predictors of the player’s chance to win at this game. The proposed research model was tested by the partial least squares regression method of structural equation modelling. The study utilized an online survey to obtain data from 128 PUBG players. The data set was analyzed using SmartPLS 3 software. Results showed that the factor that best predicted levels of perceived randomness was weapon accuracy, followed by the playzone feature. The chance to win is predicted by the perceived randomness of the game as well as the perceived skill of the player. The findings presented in this paper shed light on the concept that randomness factors may determine the likelihood of winning at PUBG and may be relevant and of interest for players and spectators of other e-sport games.

Keywords:

Randomness; e-sport; PUBG; Video games; Battle Royale

Full text:

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How to cite:

Gałka, P., & Strzelecki, A. (2021). How Randomness Affects Player Ability to Predict the Chance to Win at PlayerUnknown’s Battlegrounds (PUBG). The Computer Games Journal, 10, 1-18. https://doi.org/10.1007/s40869-020-00117-1.

References:

1. Aguilar, C. (2019). Emergent Behavior in PlayerUnknown’s Battlegrounds. Texas Tech University. Retrieved from https://hdl.handle.net/2346/85067
2. Alimomeni, M., & Safavi-Naini, R. (2015). Human Assisted Randomness Generation Using Video Games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7807, pp. 378-390). https://doi.org/10.1007/978-3-319-27659-5_27
3. Arkenberg, C., Tengberg, J., Van Dyke, D., & Baltuskonis, N. (2018). eSports graduates to the big leagues: Can the industry help media and entertainment companies access a changing audience? https://www2.deloitte.com/us/en/insights/industry/telecommunications/capitalizing-on-growth-of-esports-industry.html
4. Bar-Hillel, M., & Wagenaar, W. A. (1991). The perception of randomness. Advances in Applied Mathematics, 12(4), 428-454. https://doi.org/10.1016/0196-8858(91)90029-I
5. Ben-Naim, E., Hengartner, N. W., Redner, S., & Vazquez, F. (2013). Randomness in Competitions. Journal of Statistical Physics, 151(3-4), 458-474. https://doi.org/10.1007/s10955-012-0648-x
6. Bornemark, O. (2013). Success Factors for E-Sport Games. In Proceedings of Ume ̊a’s 16th Student Conference in Computing Science (pp. 1-12).
7. Dagdee, P., & Philip, L. (2019). the Rise of Pubg and the Marketing Strategies Behind Its Success. International Journal of Scientific Research and Review, 07(03), 1009-1021.
8. Ding, Y. (2018). Research on operational model of PUBG. MATEC Web of Conferences, 173, 03062. https://doi.org/10.1051/matecconf/201817303062
9. Douglas, C. (2018). Luck and Skill in Professional League of Legends (E-sports). Massachusetts Institute of Technology. Retrieved from http://hdl.handle.net/1721.1/119960
10. Escharts. (2019). PUBG Global Championship 2019 detailed viewers stats. https://escharts.com/tournaments/pubg/pubg-global-championship-2019. Accessed 25 July 2020
11. Fort, T. L. (2015). Controlling Randomness: Using Procedural Generation to Influence Player Uncertainty in Video Games. University of Central Florida. Retrieved from https://stars.library.ucf.edu/honorstheses1990-2015/1707/
12. GyuHyeok Choi, M. K. (2018). Battle Royale Game: In Search of a New Game Genre. International Journal of Culture Technology, 2(2), 5-11.
13. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares StructuralEquation Modeling (PLS-SEM) (2dn Editio.). SAGE Publications, Inc.
14. Hamari, J., & Sjöblom, M. (2017). What is eSports and why do people watch it? Internet Research, 27(2), 211-232. https://doi.org/10.1108/IntR-04-2016-0085
15. Hancock, G. R. (2003). Fortune Cookies, Measurement Error, And Experimental Design. Journal of Modern Applied Statistical Methods, 2(2), 293-305. https://doi.org/10.22237/jmasm/1067644980
16. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
17. Johnson, J., Excy, J., & Krishnanunni, A. (2019). PUBG: The New Benchmark of Online Marketing. International Journal of Management and Commerce Innovations, 6(2), 1319-1325.
18. Kock, N. (2018). Minimum Sample Size Estimation in PLS-SEM: An Application in Tourism and Hospitality Research. In Applying Partial Least Squares in Tourism and Hospitality Research (pp. 1-16). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-699-620181001
19. Liquipedia. (2019). PUBG Global Championship 2019 - Liquipedia PLAYERUNKNOWN’S BATTLEGROUNDS Wiki. https://liquipedia.net/pubg/PUBG_Global_Championship/2019. Accessed 25 July 2020
20. Macey, J., & Hamari, J. (2018). Investigating relationships between video gaming, spectating esports, and gambling. Computers in Human Behavior, 80, 344-353. https://doi.org/10.1016/j.chb.2017.11.027
21. Macey, J., & Hamari, J. (2019). eSports, skins and loot boxes: Participants, practices and problematic behaviour associated with emergent forms of gambling. New Media & Society, 21(1), 20-41. https://doi.org/10.1177/1461444818786216
22. von Meduna, M., Steinmetz, F., Ante, L., Reynolds, J., & Fiedler, I. (2020). Loot boxes are gambling-like elements in video games with harmful potential: Results from a large-scale population survey. Technology in Society, 63(August), 101395. https://doi.org/10.1016/j.techsoc.2020.101395
23. N00btoPro Gamer Guide. (2018). The Ultimate PUBG Guide: Learn All the Tips, Hacks and Tricks to Dominate PUBG Battle Royale. Independently published.
24. Newzoo. (2020). Global Esport market report. Newzoo. San Francisco, CA. https://newzoo.com/insights/trend-reports/newzoo-global-esports-market-report-2020-light-version/
25. Pizzo, A. D., Baker, B. J., Na, S., Lee, M. A., Kim, D., & Funk, D. C. (2018). eSport vs. Sport: A comparison of spectator motives. Sport Marketing Quarterly, 27(2), 108-123.
26. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. SmartPLS GmbH.
27. Rokad, B., Karumudi, T., Acharya, O., & Jagtap, A. (2019). Survival of the Fittest in PlayerUnknown BattleGround. http://arxiv.org/abs/1905.06052
28. Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. In Handbook of Market Research (pp. 1-40). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-05542-8_15-1
29. Sjöblom, M., & Hamari, J. (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985-996. https://doi.org/10.1016/j.chb.2016.10.019
30. Stępnik, A. (2009). E-sport z perspektywy teorii sportu. Homo Ludens, 1(1), 213-222.
31. Wei, W., Lu, X., & Li, Y. (2018). PUBG: A Guide to Free Chicken Dinner. http://cs229.stanford.edu/proj2018/report/127.pdf
32. Zagała, K., & Strzelecki, A. (2019). eSports Evolution in Football Game Series. Physical Culture and Sport. Studies and Research, 83(1), 50-62. https://doi.org/10.2478/pcssr-2019-0020