Statistical analysis of e-sports using combinatorial designs
| Reference No. | 2026a038 |
|---|---|
| Type/Category | Grant for Supporting the Advancement of Female Researchers- Short-term Visiting Researcher |
| Title of Research Project | Statistical analysis of e-sports using combinatorial designs |
| Principal Investigator | Tomoko Adachi（Shizuoka Institute of Science and Technology・Professor） |
| Research Period |
September 7,2026. -
September 11,2026. February 22,2027. - February 26,2027. |
| Keyword(s) of Research Fields | Statistical analysi, E-sports, Combinatorial design |
| Abstract for Research Report |
Recently, games have been recognized as e-sports, and the domestic e-sports market is estimated to exceed 21 billion yen. Research on e-sports is still limited, but it will likely become more active from now on. One of my research areas is statistics, such as Latin squares. Latin squares and orthogonal arrays are deeply related to statistics, such as the design of experiments. The design of experiments is a technique and method of data analysis. It allows us to analyze data measured according to a predetermined plan and clarify the effects of factors and their interactions. By conducting experiments while considering combinations of factors using Latin squares or orthogonal arrays, it is possible to reduce the number of experiments from the number required to check all combinations. Combinatorial design originally arose from the statistical design of experiments, and it has developed in connection with applied mathematics such as combinatorics and discrete mathematics. Associate Professor Gu is knowledgeable in combinatorics and is also conducting research on applications to networks and Artificial Intelligence. In this study, we will connect insights from combinatorics and discrete mathematics to the statistical analysis of esports conducted so far, and analyze and utilize actual match data. |
| Organizing Committee Members (Workshop) Participants (Short-term Joint Usage) |
Tomoko Adachi（Shizuoka Institute of Science and Technology・Professor） Yujie Gu（Faculty of Information Science and Electrical Engineering Department of Informatics, Kyushu University・Associate Professor） |