football-data-ai

What problem does it solve?

Football data pipelines often suffer from inconsistent pitch geometry, missing or misnamed keypoints, and non-standardized event formats, leading to errors in analytics and models.

Core Features & Use Cases

• Pitch geometry validation: verify coordinate transforms against standard pitch dimensions and reference points.
• Keypoint labeling consistency: ensure standard naming and mapping for field keypoints.
• Data-standard alignment: support common event types and formats (e.g., pass, shot, foul) across datasets for analytics and model training.

Quick Start

Review the football data pipeline and advise on pitch coordinate transformations, keypoint naming, and standard event formatting for a new dataset.