The DOI matches its Crossref record.
Recognizing Compound Events in Spatio-Temporal Football Data
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Others have automatically identified basic events like passes or ball touches [11,14], but typically focus on simple events without addressing more complex concepts like assists.”
From Automating assist identification in football (soccer): a machine learning approach using event and tracking data (2026) · cites this paper as [14]
Citations
Cited by
Sorted by citations
Klemmer, M., Arnsmeyer, K., Bauer, P., & Bücker, M. (2026) · Sports Engineering · doi:10.1007/s12283-025-00533-4 · Cited by 1
Metadata
- Authors
- Richly, K., Rohloff, T., Bothe, M., & Schwarz, C.
- Affiliations
- University of Potsdam (DE)
- Venue
- Proceedings of the International Conference on Internet of Things and Big Data
- Published
- 2016
- Pages
- 27-35
- OpenAlex
- W2376970642
- Cited by
- 18
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 2
- FWCI
- 7.12
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Conference on Internet of Things, Big Data and Security (IoTBDS) (publishedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
- Physical Sciences › Computer Science › Information Systems › Data Management and Algorithms
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Keywords
- compound events, spatio-temporal data, football, event recognition, sports analytics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
