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

arXiv:2405.02412v1 Announce Type: new
Abstract: 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 weeks. Our baseline models, Ridge regression and LightGBM, achieve solid performance and emphasize the importance of recent FPL points, influence, creativity, threat, and playtime in predicting EPL player performances. Our optimal CNN …

abstract architectures arxiv cnns convolutional convolutional neural networks cs.lg data deep learning english forecasting groundbreaking lightgbm networks neural networks paper performance premier league regression ridge transfer transfer learning type