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Prediction of winners in MOBA games

机译:MOBA游戏中获胜者的预测

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摘要

Multiplayer Online Battle Arena (MOBA) games are very popular in the current eSport scenario, being highlighted in several competitions around the world. However, the domain of knowledge contained in these games is large, which makes it difficult to discover and predict the course of a match. The present work proposes the application of classification algorithms to determine the team with more chances to win a match. Two classifications procedures were used, one based on the composition of heroes in each team and another considering the duration of the match. The experiments were performed on data collected from 123,326 matches of Dota 2, showing that it was possible to achieve approximately 77% accuracy. The results demonstrate the effectiveness of the application when using techniques assisted by computers, and when using the methodology described in championships or other similar games that require the definition of strategies.
机译:在当前的电子竞技场景中,多人在线战斗竞技场(MOBA)游戏非常受欢迎,并在世界各地的多个比赛中得到了强调。但是,这些游戏中包含的知识范围很大,这使得很难发现和预测比赛的进程。本工作提出了分类算法的应用,以确定有更多机会赢得比赛的球队。使用了两种分类程序,一种基于每个团队中英雄的组成,另一种考虑比赛的持续时间。对从Dota 2的123,326个匹配项中收集的数据进行了实验,表明可以实现大约77%的准确性。结果证明了使用计算机辅助技术以及使用锦标赛或其他需要定义策略的类似游戏中描述的方法时,该应用程序的有效性。

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