Quantitative Analysis for Win/Loss Prediction of ‘League of Legends’ Utilizing the Deep Neural Network System through Big Data

Si-Jae No (노시재); Yoo-Jin Moon (문유진); Young-Ho Hwang (황영호)

doi:10.9708/jksci.2021.26.04.213

Quantitative Analysis for Win/Loss Prediction of ‘League of Legends’ Utilizing the Deep Neural Network System through Big Data

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(4), pp.213-221
DOI : 10.9708/jksci.2021.26.04.213
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : March 3, 2021
Accepted : April 22, 2021
Published : April 30, 2021

Si-Jae No ¹, Yoo-Jin Moon ¹, Young-Ho Hwang ²

¹한국외국어대학교
²군산대학교

Accredited

ABSTRACT

In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of ‘League of Legends (LOL).’ The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the ‘2020 League of Legends Worlds Championship’ utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --- ‘Dragon Gap’, ‘Level Gap’, ‘Blue Rift Heralds’, and ‘Tower Kills Gap,’ and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.

KEYWORDS

Neural network, AI, League of Legends, Deep learning, Big data

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Quantitative Analysis for Win/Loss Prediction of ‘League of Legends’ Utilizing the Deep Neural Network System through Big Data

ABSTRACT

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Quantitative Analysis for Win/Loss Prediction of ‘League of Legends’ Utilizing the Deep Neural Network System through Big Data

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* References for papers published after 2023 are currently being built.