Mitigate the risk of corrupted data and capture a higher level of detail integrating the Wyscout dataset in your system: With the largest geographical data coverage in the market we allow you to take advantage of a wider set of leagues to train your algorithms.
Extensive geographical data coverage means a wider set of leagues to train predictive algorithms.
A huge amount of gameplay data analytics that can be analyzed with proprietary methodologies to get meaningful insights, look for patterns, and categorization.
The perfect source for scientific researching, testing and writing papers on football.
“ Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for every match.”
Nature Scientific Data, in collaboration with Wyscout
Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of spatio-temporal match events in soccer competitions. Sci Data 6, 236 (2019). https://doi.org/10.1038/s41597-019-0247-7
We deliver football data analytics feeds through a standard restful API system in JSON format, that seamlessly integrates with external digital platforms and services.
Big data can be collected from multiple sources, even from different providers: make more and more experiments without increasing the risk of overfitting.
Discover and understand the capabilities of the service without access to source code and documentation. Use the specification *.yml file downloadable from apidocs.wyscout.com to interact with the Wyscout Data service with a minimal amount of implementation logic.