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A clearer way to find, compare and evaluate football talent.

AI-Powered Scouting

Overview

Player recruitment depends on making sense of information gathered across scouting reports, player data and individual evaluations. When this information is fragmented, finding relevant insights and comparing players consistently becomes difficult.

We built an AI-powered scouting intelligence layer that transformed thousands of scouting reports into structured, searchable insights. The platform enabled recruitment teams to search across reports, benchmark players and assess role-specific potential, adaptability and fit within a playing system.

It also introduced quality checks to flag inconsistencies and potential bias in scouting evaluations, helping teams work from a more organised and consistent information base.

The challenge

Thousands of reports. Fragmented information. One critical decision: who fits?

Recruitment teams had to navigate large volumes of scouting information while answering questions that went beyond individual player performance:

  • Which players fit a specific playing system or role?
  • How do shortlisted players compare against one another?
  • What do reports reveal about a player’s potential and adaptability?
  • Where do scouting assessments contain inconsistencies or potential bias?

The challenge was not simply storing more data. It was making existing information easier to find, compare and use.

The solution

An AI intelligence layer built around the scouting workflow.

Structured scouting intelligenceAutomated analysis converted information from thousands of reports into structured, searchable insights.
Semantic search across reportsA searchable talent knowledge base helped scouts find relevant information across reports without relying solely on manual document review.
Player-system fit assessmentModels assessed player fit, potential and adaptability, including role-specific evaluation to support recruitment comparisons.
Quality checks and benchmarkingThe system flagged inconsistencies and potential bias in scouting reports and enabled scouts to benchmark and compare players.

The impact

From fragmented reports to a unified talent intelligence layer.

The platform brought information from 20K+ scout reorts into one searchable environment, helping recruitment teams:

  • Find relevant player insights across large volumes of reports.
  • Compare and benchmark shortlisted talent.
  • Assess player-system fit, potential and adaptability.
  • Identify inconsistencies and potential bias in evaluations.
  • Make more informed recruitment decisions.

Better decisions start with better access to information

AI doesn’t replace a scout’s judgement. It helps make the information behind that judgement more accessible, comparable and consistent. By bringing reports and player assessments into a unified intelligence layer, the platform gave recruitment teams a clearer basis for evaluating talent.

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