This report documents the program and the outcomes of Dagstuhl Seminar 15382 "Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training". The primary goal of the seminar was the continuation of the interdisciplinary and transdisciplinarity research in sports and computer science with the emphasis on modeling and simulation technologies. In this seminar, experts on modeling and simulation from computer science, sport science, and industry were invited to discuss recent developments, problems and future tasks in these fields. For instance, computational models are applied in motor control and learning, biomechanics, game analysis, training science, sport psychology, and sport sociology. However, for these models to be adequate, accurate and fully utilized to their potential, major inputs from both computer and sports scientists are required. To bridge the potential disconnect between the skill sets of both sets of experts, the major challenge is to equip both computer and sports scientists with a common language and skill sets where both parties can communicate effectively. The seminar focused on three application areas: sport games, sport movements, and adaptations to training. In conclusion, the seminar showed that the different application areas face closely related problems. The disciplines could mutually benefit from each other combing the knowledge of domain experts in e.g. computer vision, biomechanics, and match theory. The seminar enabled fruitful interdisciplinary discussions concerning the core problems of modeling and simulation starting with the acquisition and preprocessing of data, the selection of the appropriate model(s) and ending with the verification and validation of models. The seminar also uncovered the different perspectives of science, practice and industry on modeling and simulation as well as the necessity of all parties to communicate about their views and mutual expectations. Furthermore, the discussions revealed the ambivalence of applying ICT to modeling and simulations in sports. On the one hand, added values like accuracy, speed, and complexity as well as convenience were emphasized. On the other hand, numerous issues including error identification and correction in the data, data quality in general, classification problems, and knowledge discovery in "big data" were addressed. Due to the "spirit of Dagstuhl" the schedule was finalized and flexibly adapted during the seminar. Some guidelines were suggested to the presenters to establish overarching aspects for discussion, e.g., how models were selected and applied to the problem at hand and which advantages and disadvantages appeared in the process of modeling. There was a broad agreement that the series of Dagstuhl seminars on computer science in sport should be continued. The positive results of the seminar evaluation confirmed the high quality of the seminar. However, some things need to be improved concerning the structure of the seminar as well as the commitment of the participants, e.g., talks more structured and focused on fundamental issues rather than specific aspects, fostering more discussions by shortening the talks as well as a better preparation of the seminar by collecting main topics in advance (e.g., three basic issues per participant). The organizers are sure that the next Dagstuhl seminar will be successful in improving the quality beyond the high level already established by this seminar.
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