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Popular moba games
Popular moba games








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Monthly China Mobile Games Monitorĭon’t miss Newzoo and TalkingData’s China Mobile Games Monitor, the world’s first single source of data on the complete Chinese mobile landscape, covering all operating systems, device brands, app stores, game genres, games and publishers month-on-month performance. Meanwhile, the Beijing-based Wandoujia broke into the top five in October and was able to maintain its position and 7% coverage through December. Hot on its heels was Google Play, which also gained a spot to reach #8. The store increased its installation base to 6% in December. The innovative Chinese manufacturer has been delivering unique devices, ramping up its profile and evolving into a smartphone brand with global ambitions.

In the Top 10 Android App Stores, the Oppo Store rose one spot to #7, the highest rank it has achieved since it first appeared in our ranking in March 2015.

The success of these titles demonstrates that Chinese gamers’ love of MMO/MOBA style games is not limited to PC these genres on mobile have proven to be extremely lucrative. The Top 20 Android Games by Install were also relatively stable in December. The top seven titles were unchanged from November, with Happy Elements’ Anipop is reigning supreme as the #1 game, followed by Tencent’s Happy Lord (QQ Official) and Zplay’s Pop Star. Tencent’s King of Glory saw the biggest gains, climbing three spots to #9. Yinhan’s MMORPG Space Hunter also gained a position to take #6. Legend of Mir 2, Tencent’s mobile version of the classic MMORPG, gained one place to take the #5 spot. Tencent’s King of Glory retained the #1 spot after debuting there in November, while the publisher’s other MOBA, We MOBA, dropped two positions out of the top five to #7. In December, the Top 20 Android Grossing Games were stable at the top, with the top four games stable from the previous month.

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  • To assess how well machines predict events in MOBA games. Finally, we evaluate theĪccuracy and Fidelity of several competitive methods on the collected dataset ToĮvaluate the explanatory power of different models and attribution methods, aįidelity-based evaluation metric is further proposed. Two gradient-based attribution methods: Integrated Gradients and SmoothGrad. Interpretable way by attributing the predictions to the input features using We then propose to predict four types of important events in an Large-scale dataset containing rich in-game features for the popular MOBA game Two limitations greatly restrict the practical performance and industrialĪpplication of the current works. Limited in the following two aspects: 1) the lack of sufficient in-gameįeatures 2) the absence of interpretability in the prediction results. Providing pre-game or in-game predictions for them. Consequently, many efforts have been devoted to

    Authors: Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang, Wei Bi Download PDF Abstract: The multiplayer online battle arena (MOBA) games have become increasingly










    Popular moba games