CEU Electronic Theses and Dissertations, 2018
| Author | Koncz, Tamas |
|---|---|
| Title | A Data-based Approach to Prevent Lower Body Muscle Strains in Soccer |
| Summary | The aim of this project is to identify direct links between injury risk of professional soccer players and certain relatable factors. Specifically, the injuries in focus are muscle strains happening in the lower body. A large collection of player level information was used to explore the existing relationships, using visual and statistical modeling methods. While it was not possible to establish an accurate prediction system for individual injuries, the analysis demonstrates that there are other valuable insights that could be gathered. Among the most important ones are the impact of past injuries on future risk. There are believed to be two roadblocks to high-accuracy predictions: 1. Injuries are rare events, which makes it hard to model them from a technical perspective 2. Any dataset of historical player injuries is inherently biased, as coaches and teams already apply their own mitigation methods. The last section contains suggestions for future work, among them an interesting concept of investigating injuries in multiple-day time windows, rather than treating them as in-game occurrences. |
| Supervisor | Gábor Békés |
| Department | Business School MSc |
| Full text | https://www.etd.ceu.edu/2018/koncz_tamas.pdf |
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