Data Sources and Methodology

Scouting AI integrates performance statistics, market information and scouting observations from licensed third-party data providers and your organisation's own inputs. Source references and timestamps are displayed where available so users can assess evidence quality.

Our AI-assisted engine interprets natural-language recruitment requirements, maps them to structured criteria and ranks candidates against defined parameters. Outputs include supporting statistics, confidence indicators and links to underlying evidence. AI recommendations are designed as decision support — final recruitment decisions remain with qualified human professionals.

• Data completeness varies by league, provider and player profile
• Market valuations are estimates and should be validated against current intelligence
• AI outputs may reflect gaps or biases present in underlying data
• Human scouting observation remains essential for character and context assessment

Data shown in website demonstrations, screenshots and sandbox environments is fictional and clearly labelled. It illustrates platform capabilities and must not be used for real recruitment decisions.