In development
Scoutune applies machine learning to event data, tracking, video and contract information to answer three questions: does the player fit your system, how will he perform after the move, and is the price right?
Most tools show statistics. Scoutune is designed to turn data, video and contract information into a ranked, explainable recommendation for every role you need to fill.
Fit, projected performance and value combined into a single ranked shortlist, with the drivers behind every score visible to analysts and decision-makers.
Match players to how your team plays, defined by roles rather than positions.
Find comparable profiles across leagues, adjusted for league strength and team context.
Estimate how a player's output translates to a new league, team and system.
Off-ball movement and pressure behavior from tracking and video, attached to each recommendation.
Market value, resale potential and wage efficiency, checked against your budget and squad rules.
Recruitment targets are among a club's most sensitive information. Each club's data, shortlists and models are kept in an isolated environment.
Scoutune works on top of the data you already license and the knowledge your scouts already hold.
Event, tracking and video data from your providers, combined with scout reports and contract records in one canonical model.
Machine learning models score fit, projected performance and value for every candidate, normalized across leagues.
A ranked, explainable shortlist your analysts can challenge, compare and take to the sporting director.
We're working with a small group of recruitment and analysis professionals to shape Scoutune before launch.
Sporting directors, heads of recruitment, scouts and analysts: tell us how recruitment decisions are made at your club today. Design partners get early access and a direct line into what we build.
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Scoutune