A synthetic dataset representing Premier League football players from 2019 to 2023. It is designed for machine learning practice and is hosted on Kaggle. The dataset's creator and specific update history are not provided.
Use Cases
- Predict player performance metrics based on synthetic player attributes.
- Cluster players into tactical roles using the described player data.
- Test data imputation or anomaly detection methods on structured sports data.
- Build regression models to estimate synthetic player market values.
Strengths
- Covers a defined five-year time period from 2019 to 2023.
- Designed specifically for machine learning applications.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Kaggle
- Collection Method
- Synthetically generated.
- Time Range
- 2019–2023