PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data

PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data

As sports data, increasingly shaped by recent advances in in-game data acquisition technologies, become more complex and high-dimensional, analyzing such multimodal datasets presents challenges in both predictive performance and interpretability. Therefore, in this study, we introduce PassAI, a nove...

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Bibliographic Details
Main Authors: Ryota Takamido, Jun Ota, Hiroki Nakamoto
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Big data
explainable artificial intelligence
multimodal learning
player statistics
soccer
sports analytics
Online Access:https://ieeexplore.ieee.org/document/11082131/
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https://ieeexplore.ieee.org/document/11082131/

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