A few days ago, "Sword Net 3" officially announced that it will launch the Legendary Confrontation. According to the official introduction, "Sword Net 3" has issued invitations to a number of top teams with outstanding performances in previous events, and so far a number of top players have been invited to return to the field. Among them, the "Qingfeng Wangyue" team's holding wind, Qing Ru, Ah Yue, falling leaves listening to pine, the "Water Tune Song Head" team's full blood you run hair, Xia Xiaohua, Yan Shi, Ink Road Smoke and Rain, Cloud Dyeing Leaves, the "Pokémon" team's Zhao Ruoxi, Sun and Moon Robbery, Ling Ximo, Drifting Clouds, Liu Zi Song Yu, the "Drunken Rain Zen" team's Yuhao, fairy tales, Black Continent non-people, wandering singers Xiaohua, primary school monks break the ring, the above peak players will return to the arena again.
It is understood that from April 16 to 17, from 19:30 to 0:30, the Legends confrontation will have 3 BO5 matches per night. The first two debut teams of each team are voted by every player present. From April 10th, the Masters Tournament Assistance Activity "Document Jianghu", jointly initiated by Sword Net 3 and Kingsoft Documents, will open a new Legendary Match Assistance Zone. Players can configure voting for your favorite team in this new "arena", and the configuration of the first 2 configurations of each team's voting will continue to write the blood legend on the field. At the same time, players can also cheer for their favorite players in the activity area.
At the same time, "Sword Net 3" will optimize the adaptation performance of more notebook models. In the new expansion pack of "Sword Net 3 Jianghu Unlimited", the official will systematically optimize the thin and light books, super books and game books to improve the overall efficiency and enhance the game experience of the notebook without reducing the overall picture quality. In addition, the official Weibo of Sword Net 3 also launched a nomination campaign, selecting notebooks that meet the above requirements from the top 3 popular reviews, and purchasing them back for evaluation, and using notebooks that are more suitable for everyone's model configuration to evaluate the optimized adaptation performance.
【The picture of this article comes from the network】