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Ice hockey player evaluation using event data | 2022 Big Data Cup

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RIPP

The companion repository to our 2022 Big Data Cup submission titled "RIPP: Holistic Player Evaluation with Region-Based Isolated Player Performance". Our submission won first place in the undegraduate category after we presented at the 2022 Big Data Cup finals, held virtually on July 15, 2022.

Authors:
Ethan Baron, Daniel Hocevar, Kabir Malik, Aaron White
University of Toronto Sports Analytics Student Group (UTSPAN)

See our presentation here.
See our paper here.
See our slide deck here.

Note that our results have evolved over time thanks to improvements in the calculation of RIPP.

Usage

To install our package, use devtools::install_github("https://github.com/baronet2/RIPP").

You are also welcome to contribute pull requests on GitHub if you would like to improve RIPP. The limitations discussed in our presentation are a great place to start!

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Ice hockey player evaluation using event data | 2022 Big Data Cup

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