Soccer Simulation 2D League is one of the major leagues of RoboCup competitions. In a Soccer Simulation 2D (SS2D) game, two teams of 11 players and one coach compete against each other. The players are only allowed to communicate with the server that is called Soccer Simulation Server. This paper introduces the previous and current research of the CYRUS soccer simulation team, the champion of RoboCup 2021. We will present our idea about improving Unmarking Decisioning and Positioning by using Pass Prediction Deep Neural Network. Based on our experimental results, this idea proven to be effective on increasing the winning rate of Cyrus against opponents.

翻译：足球模拟 2D 联盟是机械化2D 比赛的主要联盟之一。 在一个足球模拟 2D (SS2D) 游戏中, 两队由11名球员和1名教练组成, 彼此竞争。 球员只被允许与名为 Socer 模拟服务器的服务器进行交流。 本文介绍了 CYRUS 足球模拟队( RoboCup 2021 冠军) 先前和现在的研究。 我们将介绍我们关于利用 Pass Provision 深神经网络改进无标记决策和定位的想法。 根据我们的实验结果, 这一想法证明对提高Cyrus对对手的胜率非常有效 。