For this purpose, a promising approach is to analyze data collected about a match using data mining algorithms. However, designing such approach is not trivial as a football match involves both the time dimension and the spatial dimension. In this paper, a diagnostic analysis based approach is proposed, which consists of preparing data from a match by considering the spatial dimension and then extracting sequential rules from the data.
The proposed approach is illustrated in a case study to analyze the match between Germany and Italy at the European Championship. Results of this study show that threatening offensive patterns from the Germany team are identified, illustrating complex interactions between players for performance analysis.
The authors would like to thank all the participants involved in this work. Markus Kraus and Simon Scholz are acknowledged for their important data collection and comments. Skip to main content. This service is more advanced with JavaScript available. Advertisement Hide. Conference paper First Online: 28 March This is a preview of subscription content, log in to check access. Acknowledgements The authors would like to thank all the participants involved in this work. Fournier-Viger, P.
Mining partially-ordered sequential rules common to multiple sequences. CrossRef Google Scholar. Greve, W. Google Scholar. Defensive Football Strategies. Now you can build the kind of defense that wins championships with Defensive Football Strategies. This complete collection of tactics, teachings, and insights comes from many of the game's best defensive minds from the past 40 years. Inside you'll find winning tactics and teachings from 90 top defensive strategists in.
This is a practical Handbook for beginning youth Football coaches, and parents. It has 85 individual pictures and illustration variations to look at. All the skill activities and drills are numbered for easy reference between coaches and parents. Complete with diagram, illustration, and explanation for each one.
It covers.
0コメント