AI Predicts PUBG Player Placement From Stats and Rankings

May 17, 2019 Off By readly




An anonymous reader shares a report: Fun as the element of surprise may be, matches in PUBG might be less dynamic than they seem. That’s the assertion of researchers at the Department of Computer Science at the University of Georgia, who tested several AI algorithms to predict final player placement in PUBG from in-game stats and initial rankings. As the coauthors explain, each PUBG game starts with players parachuting from a plane onto one of four maps containing procedurally generated weapons, vehicles, armor, and other equipment. To train their AI models, the team sourced telemetry data recorded and compiled by Google-owned Kaggle, an online machine learning community. In total, it contained 4.5 million instances of solo, duo, and squad battles with 29 attributes, which the researchers whittled down to 1.9 million with 28 attributes. Most players don’t rack up any kills, the team notes, and only a small fraction manage to win with a pacifistic strategy. In fact, 0.3748% of the players in the corpus won kill-free, out of which 0.1059% players won without a kill and without dealing damage. They also observed that players who actively traverse maps — i.e., walk more — increase their chances of winning; that 2.0329% players in the sample set died before taking a single step; and that with players with fewer kills who prefer to battle solo or in pairs had higher chances of winning compared with players who played in a squad.



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