| As an emerging sport,Electronic Sports(hereinafter referred to LOL)is no longer an unfamiliar concept in the present.Since November 18,2003,it has been 15 years since the General Administration of Sport of the People’s Republic of China has included Electronic Sports in official sports competitions.Among many items of Electronic Sports,LOL has been widely attracting attention of the public as one of the hottest items.With the continuous improvement of the system of LOL and the increase in the number of competitions,more and more competitive indicators and data are being introduced to the League of Legends.The requirements for data collection and analysis are becoming more and more urgent.As the electronic sports clubs began to recognize the importance of utilizing data analysis to instruct competition and trainings,they have put forward new requirements on a newly-emerged occupation,the LOL data analyst.At present,the training of e-sports data analysts in China has just started.Determining the subjects of training for data analysts of LOL,detailing the requirements on talents and exploring the talent-cultivation models are of great significance for the cultivation of data analysts of the League of Legends and other e-sports.This paper adopts the literature review method and the expert interview method to conduct a preliminary investigation and discussion on the current research status of the e-sports field and the industry status of the data analyst of LOL.It also utilizes method of comparative analysis to compare and analyze the current situation of data analysis of LOL and the traditional sports,NBA.The research results show that the current research on e-sports focuses on the definition of e-sports-related concepts and the current status of the development of e-sports industry.There is less research on the cultivation of the talents of e-sports.Compared with the NBA,there is still a huge gap between the application of data analysis of LOL and that of NBA.The data analysts in LOL is in shortage and the existing data analysts are mostly the former professional players,who are generally less educated,for which the abilities of collecting and analyzing date of LOL are lagging behind.In terms of the existing problems,this paper clarifies specific requirements and the structure of knowledge and ability of the data analysts in LOL,recommends that collegesand universities should be regarded as the main subjects of talent cultivation,and foster data analysts of LOL through degree education adopting the school-enterprise cooperation "3+1" model.The colleges and universities should launch short-term or long-term regular trainings on the existing professional data analysts in a way of vocational education,so as to improve their abilities in collecting and analyzing data.The research in this paper can provide reference for the training of data analysts for LOL and other e-sports,so as to boost the sustainable development of the e-sports industry. |