floodlight - A high-level, data-driven sports analytics framework

Python Submitted 08 June 2022 • Published 26 August 2022
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Editor: @crvernon (all papers)
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Authors

Dominik Raabe (0000-0001-7264-4575), Henrik Biermann (0000-0001-5660-9876), Manuel Bassek (0000-0002-9394-913X), Martin Wohlan (0000-0002-7403-7338), Rumena Komitova (0000-0003-1300-9330), Robert Rein (0000-0001-7059-5319), Tobias Kuppens Groot (0000-0003-1323-1628), Daniel Memmert (0000-0002-3406-9175)

Citation

Raabe et al., (2022). floodlight - A high-level, data-driven sports analytics framework. Journal of Open Source Software, 7(76), 4588, https://doi.org/10.21105/joss.04588

@article{Raabe2022, doi = {10.21105/joss.04588}, url = {https://doi.org/10.21105/joss.04588}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {76}, pages = {4588}, author = {Dominik Raabe and Henrik Biermann and Manuel Bassek and Martin Wohlan and Rumena Komitova and Robert Rein and Tobias Kuppens Groot and Daniel Memmert}, title = {floodlight - A high-level, data-driven sports analytics framework}, journal = {Journal of Open Source Software} }
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sport science performance analysis exercise physiology training science collective movement behavior sports analytics

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066