7 datasets found

The points dataset for FPL Season 2014-15 consists of yearly data along with gameweek, player ID, team, weekly points and running sum of points.

The Master FPL dataset consists of mapping of players onto their position, team and cost. The shape of this dataset was estimated to be (Number of Players i.e. 584, 5).

The dataset used in this research is a collection of football players' data, including their salaries, basic characteristics, performance, and achievements.

The dataset used in this research is a collection of football players' data, including their salaries, basic characteristics, performance, and achievements.

Football Event data, including 15,575 shots, used to develop and apply machine learning models for Expected Goals (xG) prediction

The Google Research Football environment is a reinforcement learning experimental platform focused on training agents to play football.

The dataset used in the paper is Google Research Football (GRF) environment.