The origins of goals in the German Bundesliga
We propose to analyse the origin of goals in professional football (soccer) in a purely data-driven approach. Based on positional and event data of 3,457 goals from two seasons German Bundesliga and 2nd Bundesliga (2018/20,219 and 2019/2020), we devise a rich set of 37 features that can be extracted automatically and propose a hierarchical clustering approach to identify group structures. The results consist of 50 interpretable clusters revealing insights into scoring patterns. The hierarchical clustering found 8 alone standing clusters (penalties, direct free kicks, kick and rush, one-two`s, assisted by header, assisted by throw-in) and nine categories (e.g., corners) combining more granular patterns (e.g., five subcategories of corner-goals). We provide a thorough discussion of the clustering and show its relevance for practical applications in opponent analysis, player scouting and for long-term investigations. All stages of this work have been supported by professional analysts from clubs and federation.
© Copyright 2021 Journal of Sports Sciences. Taylor & Francis. Kaikki oikeudet pidätetään.
Aiheet: | jalkapallo Saksa suorituskyky suoritusstatistiikka analyysi |
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Aihealueet: | urheilukilpailut |
DOI: | 10.1080/02640414.2021.1943981 |
Julkaisussa: | Journal of Sports Sciences |
Julkaistu: |
2021
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Vuosikerta: | 39 |
Numero: | 22 |
Sivuja: | 2525-2544 |
Julkaisutyypit: | artikkeli |
Kieli: | englanti (kieli) |
Taso: | kehittynyt |