Context:
This dataset has been created to assist gamers, football enthusiasts, and data analysts in discovering valuable insights about the FIFA 23 Ultimate Team (FUT) mode. Ultimate Team is a popular game mode within the FIFA series, where users can build their dream squads by collecting and trading virtual cards representing real-life football players. Player performance in FUT is determined by various statistics and attributes, which are crucial factors when building a competitive team.
Sources:
The dataset is sourced from FUTBIN, a widely recognized website that provides comprehensive information on player cards, including statistics, attributes, market values, and more. FUTBIN constantly updates its data to reflect the latest player ratings and market trends, ensuring the dataset remains relevant and accurate.
Inspiration:
The inspiration behind this dataset is to provide users with a comprehensive and structured collection of player data, enabling them to make informed decisions when constructing their Ultimate Team. By analyzing this dataset, users can:
- Identify top-performing players based on various attributes, such as pace, shooting, passing, dribbling, defending, and physicality.
- Discover hidden gems or underrated players with high potential or desirable stats.
- Evaluate the market value of different players to make cost-effective decisions when buying or selling cards.
- Analyze team chemistry, player positions, and preferred formations to optimize overall team performance.
- Create custom analytics tools, visualizations, or predictive models to gain a competitive edge in FIFA 23 Ultimate Team.