| === |
| FAQ |
| === |
|
|
| |
| Socceraction is an open source Python package that primarily provides an |
| implementation of the VAEP possession value framework. However, the package also |
| provides a number of other features, such as API clients for loading data from |
| the most popular data providers and converters for each of these data |
| provider's proprietary data formats to a common action-based data format |
| (i.e., SPADL) that enables subsequent data analysis. Therefore, socceraction |
| can take away some of the heavy data preprocessing burden from researchers and |
| data scientists who are interested in working with soccer event stream data. |
|
|
| **Q: Where can I get event stream data?** |
| Both StatsBomb and Wyscout provide a free sample of their data. Alternatively, |
| you can buy a subscription to the event data feed from StatsBomb, Wyscout or |
| Opta (Stats Perform). Instructions on how to load the data from each of these |
| sources with socceraction are available in the :doc:`documentation |
| <data/index>`. |
|
|
| **Q: What license is socceraction released under?** Socceraction is released |
| under the `MIT license <https://github.com/ML-KULeuven/socceraction/blob/master/LICENSE.rst>`_. |
| You are free to use, modify and redistribute socceraction in any way you see |
| fit. However, if you do use socceraction in your research, please cite our |
| `research papers <Research>`_. When you use socceraction in public work |
| or when building a product or service using socceraction, we kindly request |
| that you include the following attribution text in all advertising and documentation:: |
|
|
| This product includes socceraction created by the <a href="https://dtai.cs.kuleuven.be/sports/">DTAI Sports Analytics lab</a>, |
| available from <a href="https://github.com/ML-KULeuven/socceraction">https://github.com/ML-KULeuven/socceraction</a>. |
| |
