4040354
Strategy discovery in professional soccer match data
This paper explores the task of automatic strategy detection from event-stream data collected from professional soccer matches. Concretely, we focus on discovering interesting event sequences that lead to an attempt on goal. We describe a data-driven approach for identifying patterns of movement that account for both spatial and temporal information which represent potential strategies.
© Copyright 2016 Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics. Published by Eigenverlag. All rights reserved.
| Subjects: | |
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| Notations: | technical and natural sciences sport games |
| Published in: | Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics |
| Language: | English |
| Published: |
San Francisco
Eigenverlag
2016
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| Online Access: | https://lirias.kuleuven.be/bitstream/123456789/545766/1/lssa16-paper.pdf |
| Pages: | 1-4 |
| Document types: | article |
| Level: | advanced |