[3Xin2] Poster session 1

[3Xin2-21] Space evaluation based on pitch control using drone video in Ultimate

〇Shunsuke Iwashita¹, Atom Scott¹, Rikuhei Umemoto¹, Ding Ning¹, Keisuke Fujii^1,2 (1.Nagoya University, 2.Institute of Physical and Chemical Research)

Keywords:Sports, Information Visualization, Data Science, Video Processing

Ultimate is a sport where two teams of seven players compete to score points by passing a disc and catching it in the end zone. Unlike other sports, Ultimate has the unique characteristic that players holding the disc cannot move, emphasizing the importance of creating space to receive passes. While there is ample data and research on space in sports like soccer and basketball, such information is lacking for Ultimate. This study aims to focus on the widely adopted 3-vs-3 format in training by many teams and evaluate the space during offensive plays. The data used in this study was obtained through filming with a drone camera, and position data was acquired through angle correction and coordinate transformations. The model employed in this study is based on a soccer's pitch control model, which indicates the probability of controlling the ball at various points on the pitch. This model is adapted to suit the rules of Ultimate, where players cannot move while holding the disc. By combining weights that take into account position and distance with the values of the pitch control, space evaluation metrics are calculated, and the relationship between scoring and the space evaluation metric immediately before a pass was analyzed.