Joris Bekkers - Cutting Edge Football Analytics in Python | PyData London 25
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Cutting Edge Football Analytics using Polars, Keras and Spektral
Football analytics has rapidly evolved over the past five years, becoming a crucial part of professional and fan discourse. While much of the cutting-edge research remains hidden behind the fences of club training grounds, a growing ecosystem of open-source tools now enables anyone to develop advanced football analytics models.
In this talk, I'll showcase key open-source libraries—Polars for high-performance data processing, Keras for deep learning, and Spektral for Graph Neural Networks (GNNs)—to analyze millions of player coordinates from publicly available high-frequency positional tracking data. I'll demonstrate how these tools can be used to build in-game prediction models and extract advanced football metrics that only the most advanced football clubs currently use.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Видео Joris Bekkers - Cutting Edge Football Analytics in Python | PyData London 25 канала PyData
Cutting Edge Football Analytics using Polars, Keras and Spektral
Football analytics has rapidly evolved over the past five years, becoming a crucial part of professional and fan discourse. While much of the cutting-edge research remains hidden behind the fences of club training grounds, a growing ecosystem of open-source tools now enables anyone to develop advanced football analytics models.
In this talk, I'll showcase key open-source libraries—Polars for high-performance data processing, Keras for deep learning, and Spektral for Graph Neural Networks (GNNs)—to analyze millions of player coordinates from publicly available high-frequency positional tracking data. I'll demonstrate how these tools can be used to build in-game prediction models and extract advanced football metrics that only the most advanced football clubs currently use.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Видео Joris Bekkers - Cutting Edge Football Analytics in Python | PyData London 25 канала PyData
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28 июня 2025 г. 9:00:25
00:31:34
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