Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting

This paper presents a groundbreaking model for forecasting English Premier League (EPL) player performance using convolutional neural networks (CNNs). We evaluate Ridge regression, LightGBM and CNNs on the task of predicting upcoming player FPL score based on historical FPL data over the previous we...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Frees, Daniel, Ravella, Pranav, Zhang, Charlie
Format:	Artikel
Sprache:	eng
Schlagworte:	Agents (artificial intelligence) Artificial intelligence Artificial neural networks Deep learning Forecasting Machine learning Mathematical models News Performance prediction Professional soccer Reagents Soccer
Online-Zugang:	Volltext
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