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

Python Submitted 08 June 2022Published 26 August 2022
Review

Editor: @crvernon (all papers)
Reviewers: @gagolews (all reviews), @kanishkan91 (all reviews)

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} }
Copy citation string · Copy BibTeX  
Tags

sport science performance analysis exercise physiology training science collective movement behavior sports analytics

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

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

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066