An integrated dataset of spatiotemporal and event data in elite soccer
Abstract Data-driven match analysis in soccer is a growing discipline in both research and practice. However, public data is scarce, which raises the barrier for entering this field and decreases reproducibility of methods and results. To bridge this gap, this paper presents a dataset of official ma...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04505-y |
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| _version_ | 1832571980047450112 |
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| author | Manuel Bassek Robert Rein Hendrik Weber Daniel Memmert |
| author_facet | Manuel Bassek Robert Rein Hendrik Weber Daniel Memmert |
| author_sort | Manuel Bassek |
| collection | DOAJ |
| description | Abstract Data-driven match analysis in soccer is a growing discipline in both research and practice. However, public data is scarce, which raises the barrier for entering this field and decreases reproducibility of methods and results. To bridge this gap, this paper presents a dataset of official match information, event, and position data from seven matches of the German Bundesliga’s first and second division. The match information contains meta data about the matches and their participants. The event data contain timestamps along with descriptions of discrete events, like passes, shots, or fouls. The position data contain the x/y-coordinates of every player and the ball. By integrating multiple data modalities – i.e., event logs with timestamps, and x-y coordinates of player and ball positions — the dataset offers a multidimensional view of match dynamics. This dataset supports the validation of existing analytical techniques and facilitates the development of new methodologies in sports analytics. With availability under CC-BY 4.0, it promotes transparency, reproducibility, and the idea of open science in match analysis research. |
| format | Article |
| id | doaj-art-14b7ae2f856d4553a5c8867d6577f353 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-14b7ae2f856d4553a5c8867d6577f3532025-02-02T12:08:05ZengNature PortfolioScientific Data2052-44632025-02-0112111110.1038/s41597-025-04505-yAn integrated dataset of spatiotemporal and event data in elite soccerManuel Bassek0Robert Rein1Hendrik Weber2Daniel Memmert3Institute of Exercise Training and Sport Informatics, German Sport University CologneInstitute of Exercise Training and Sport Informatics, German Sport University CologneDFL, German Football LeagueInstitute of Exercise Training and Sport Informatics, German Sport University CologneAbstract Data-driven match analysis in soccer is a growing discipline in both research and practice. However, public data is scarce, which raises the barrier for entering this field and decreases reproducibility of methods and results. To bridge this gap, this paper presents a dataset of official match information, event, and position data from seven matches of the German Bundesliga’s first and second division. The match information contains meta data about the matches and their participants. The event data contain timestamps along with descriptions of discrete events, like passes, shots, or fouls. The position data contain the x/y-coordinates of every player and the ball. By integrating multiple data modalities – i.e., event logs with timestamps, and x-y coordinates of player and ball positions — the dataset offers a multidimensional view of match dynamics. This dataset supports the validation of existing analytical techniques and facilitates the development of new methodologies in sports analytics. With availability under CC-BY 4.0, it promotes transparency, reproducibility, and the idea of open science in match analysis research.https://doi.org/10.1038/s41597-025-04505-y |
| spellingShingle | Manuel Bassek Robert Rein Hendrik Weber Daniel Memmert An integrated dataset of spatiotemporal and event data in elite soccer Scientific Data |
| title | An integrated dataset of spatiotemporal and event data in elite soccer |
| title_full | An integrated dataset of spatiotemporal and event data in elite soccer |
| title_fullStr | An integrated dataset of spatiotemporal and event data in elite soccer |
| title_full_unstemmed | An integrated dataset of spatiotemporal and event data in elite soccer |
| title_short | An integrated dataset of spatiotemporal and event data in elite soccer |
| title_sort | integrated dataset of spatiotemporal and event data in elite soccer |
| url | https://doi.org/10.1038/s41597-025-04505-y |
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