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The role of data analytics in professional soccer
September 28 @ 11:00 am - 3:00 pm£99 – £249
Data analytics has been extensively applied in a sports environment, including managing both individual and group performance. Match and performance analysts can use data to optimize training programs and develop training plans to maximize fitness and prevent injuries. Data is also gathered to develop tactics and team strategies. In this workshop, we will cover topics such as : data collection in professional soccer, quantifying team success, player assessment for transfer decisions and how machine learning algorithms can be applied to soccer data.
Guest speaker : Dr Daniel Link.
After finishing his master in computer science at Technical University Dortmund, Daniel Link earned his PhD from the University of Augsburg in sport science. From the Department of Sport and Health Sciences at Technical University of Munich he received venia legendi for sports sciences. Daniel Link supports federations and top-level teams in implementing game analysis and consults German Soccer Bundesliga regarding sports data. He is a reviewer for scientific journals, member of various international scientific organizations and acts as a reviewer for the main German founding agency for sport science. He teaches training and exercise science, computer science in sports and research methods. Current research areas are:
- Performance analysis, data analytics and big data in sports
- Analysis of spatio-temporal data (esp. in soccer)
- Physical and tactical performance indicators
- Software-Engineering in sports
- Methods of implementing game analysis into practice
- Evaluation of positioning systems
10.00 – 11.00: Arrival and participants registration
11.00 – 13.00: Lecture (delivered by Dr Link)
13:00 – 13:30 : Lunch (provided)
13:30 – 15:00 : Panel Q&A
15.00 – 16:00 : Drinks and networking (drinks provided)
Price includes (where specified) refreshments, teaching material and course attendance. Participants will receive a certificate of attendance after the course.
For more information e-mail: firstname.lastname@example.org