Director's Cut: Analysis and Annotation of Soccer Matches.

Area of Science:

• Sports Science
• Data Analytics
• Human-Computer Interaction

Background:

• Professional soccer analysis is time-consuming, requiring analysts up to three days per match.
• Manual annotation of soccer matches limits the depth and efficiency of tactical strategy development.

Purpose of the Study:

• To develop a visual-interactive system for enhanced soccer match analysis.
• To automate the annotation of key soccer match elements and focus on critical situations.

Main Methods:

• Implementing rule-based filtering to identify key situations in soccer matches.
• Developing automatic annotation capabilities for crucial match elements.
• Utilizing a visual-interactive interface for data analysis support.

Main Results:

• The proposed system significantly improves the efficiency of soccer match analysis.
• Quantitative measures demonstrate superior performance compared to naive analytical approaches.
• The system effectively focuses on key situations, aiding in tactical and strategic development.

Conclusions:

• The visual-interactive, data-analysis support system offers a significant advancement in professional soccer analysis.
• Automated annotation and rule-based filtering enhance the identification of key match elements.
• This approach provides a more efficient and effective method for developing soccer tactics and strategies.