Abstract
In our country, policies regarding sports are actively advanced towards the Tokyo 2020 Olympic Games. One of those policies, "Sports x ICT" considers effective methods of utilizing ICT (Information and Communication Technology), such as development of measurement instruments, measurement and visualization of data, and proposals for new services in the field of sports. Against this backdrop, we have been developing the visualization system for American football games using terminal devices included GNSS and acceleration sensor. Using that system, it is confirmed that the effective information which are the individual condition and the motion analysis of american football players against not only players but also the college football leaders can be grasped. But, in the our existing research, we could not realize the strategy for analyzing games selected for play calls depending on circumstances, to make a prediction of successful ratio, and so on. Then, in this paper, we aim to analyze the match-up for offence and defense players related to pass plays using deep learning. Reasoning the success rate of pass plays, it is capable to provide the new awareness for American football strategies to the manager and coaches.
