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Jan 9, 2026
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23 changes: 8 additions & 15 deletions README.md
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Expand Up @@ -22,12 +22,9 @@ The **unravelsports** package aims to aid researchers, analysts and enthusiasts
This package currently supports:

- ⚽ 🏈 [**Polars DataFrame Conversion**](#polars-dataframes)
- ⚽ 🏈 [**Graph Neural Network**](#graph-neural-networks) Training, Graph Conversion and Prediction `<small>`
[[🔗 Bekkers &amp; Sahasrabudhe (2023)](https://arxiv.org/pdf/2411.17450)]`</small>`
- ⚽ [**Pressing Intensity**](#pressing-intensity)
`<small>`[[🔗 Bekkers (2024)](https://arxiv.org/pdf/2501.04712)]`</small>`
- ⚽ [**Formation and Position Identification (EFPI)**](#formation-and-position-identification)
`<small>`[[🔗 Bekkers (2025)](https://arxiv.org/pdf/2506.23843)]`</small>`
- ⚽ 🏈 [**Graph Neural Network**](#graph-neural-networks) Training, Graph Conversion and Prediction [[🔗 Bekkers & Sahasrabudhe (2023)](https://arxiv.org/pdf/2411.17450)]
- ⚽ [**Pressing Intensity**](#pressing-intensity) [[🔗 Bekkers (2024)](https://arxiv.org/pdf/2501.04712)]
- ⚽ [**Formation and Position Identification (EFPI)**](#formation-and-position-identification) [[🔗 Bekkers (2025)](https://arxiv.org/pdf/2506.23843)]

🌀 Features
-----------
Expand Down Expand Up @@ -158,14 +155,10 @@ model.fit(

📖 ⚽ The [**Pressing Intensity Tutorial Jupyter Notebook**](examples/pressing_intensity.ipynb) gives a description on how to create Pressing Intensity videos.

🌀 Documentation
----------------

For now, follow the [**Graph Converter Tutorial**](examples/1_kloppy_gnn_train.ipynb) and check the [**Graph FAQ**](examples/graphs_faq.md), more documentation will follow!

Additional reading:
🌀 Additional Reading
---------------------

📖 [A Graph Neural Network Deep-dive into Successful Counterattacks {A. Sahasrabudhe &amp; J. Bekkers, 2023}](https://github.com/USSoccerFederation/ussf_ssac_23_soccer_gnn/tree/main)
📖 [A Graph Neural Network Deep-dive into Successful Counterattacks {A. Sahasrabudhe J. Bekkers, 2023}](https://github.com/USSoccerFederation/ussf_ssac_23_soccer_gnn/tree/main)

🎤 [**Cutting Edge Football Analytics:** _using `polars`, `keras` and `spektral`_ (PyData London, 2025)](https://rawcdn.githack.com/UnravelSports/keynotes/main/html/20250607-PyData-London.html)

Expand Down Expand Up @@ -255,5 +248,5 @@ If you use this repository for any educational purposes, research, project etc.,
🌀 Social Media
---------------

[`<img alt="alt_text" width="40px" src="https://upload.wikimedia.org/wikipedia/commons/c/ca/LinkedIn_logo_initials.png"/>`](https://www.linkedin.com/in/joris-bekkers-33138288/)
[`<img alt="alt_text" width="40px" src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Bluesky_Logo.svg/2319px-Bluesky_Logo.svg.png"/>`](https://bsky.app/profile/unravelsports.com)
[<img alt="LinkedIn" width="40px" src="https://upload.wikimedia.org/wikipedia/commons/c/ca/LinkedIn_logo_initials.png"/>](https://www.linkedin.com/in/joris-bekkers-33138288/)
[<img alt="Bluesky" width="40px" src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Bluesky_Logo.svg/2319px-Bluesky_Logo.svg.png"/>](https://bsky.app/profile/unravelsports.com)