Screen U23 + Gap ReadyBiggest Gap Jon Magunazelaia +35.0High ARES Lionel Messi 91.8Confidence Source + Recency Weighted
Advanced market search

Build the Exact Player Screen

Combine age, position, league, region, ARES quality, Market Score, gap, movement, and confidence. Each screen should answer a football market question, not merely narrow a table.

Build ScreenBasic Search
Screen builderMulti-factor search
FX
Build a Market Thesis
Quality, age, gap, confidence, region
Example screenU23 players with ARES above 75, positive gap, rising trend, and medium or high confidence.
Build ScreenOpen U23 Board
Screen Presets
6
Market use cases
Player Universe
50,767
Searchable records
Position Groups
8
Role families
Confidence Filter
4
High to thin data
Export Regions
Global
Europe to Asia
Advanced Filter ConsoleBasic search →
Market Screen Presets
Age curve

U23 Undervalued

Young assets with positive ARES gap and rising market signal.

Mispricing

High ARES, Low Market

Strong football quality still below the visible market layer.

Risk

Overheated Assets

Market strength running ahead of football output.

Mobility

Contract Watch

Contract control and transfer mobility screens.

Global edge

Asia Export Watch

Players with export potential and improving context.

North America

MLS Export Watch

Young assets and role expansion in the MLS market.

Current Signal UniverseCompare selected →
#PlayerAgePosClubLeagueARESMarketGapTrendConfidenceWhy ARES Sees It
1Jon Magunazelaia24LMReal SociedadLa Liga81.146.1+35.0Rising +35.0LowJon Magunazelaia is ranked from ARES GIA player input for Real Sociedad in La Liga 2025.
2Fabinho18DF,MFReal MadridLa Liga80.746.8+33.9Rising +33.9LowFabinho is ranked from ARES GIA player input for Real Madrid in La Liga 2013.
3Sam Hutchinson19DF,MFChelseaPremier League80.746.9+33.8Rising +33.8LowSam Hutchinson is ranked from ARES GIA player input for Chelsea in Premier League 2010.
4Kim Min-jae28DFBayern MunichBundesliga80.746.9+33.8Rising +33.8LowKim Min-jae is ranked from ARES GIA player input for Bayern Munich in Bundesliga 2026.
5Urby Emanuelson28DF,FWRomaSerie A80.746.9+33.8Rising +33.8LowUrby Emanuelson is ranked from ARES GIA player input for Roma in Serie A 2015.
6Giuseppe Cuomo18DFCrotoneSerie A80.446.7+33.7Rising +33.7LowGiuseppe Cuomo is ranked from ARES GIA player input for Crotone in Serie A 2017.
7Sébastien Pocognoli27DF,MFWest BromPremier League80.847.1+33.7Rising +33.7LowSébastien Pocognoli is ranked from ARES GIA player input for West Brom in Premier League 2016.
8Ryan Bertrand20DF,MFChelseaPremier League80.847.1+33.7Rising +33.7LowRyan Bertrand is ranked from ARES GIA player input for Chelsea in Premier League 2011.
9Marco Vittiglio18OUTFIELDPescaraSerie A81.147.5+33.6Rising +33.6LowMarco Vittiglio is ranked from ARES GIA player input for Pescara in Serie A 2013.
10Kristoffer Ajer27DFBrentfordPremier League80.446.8+33.6Rising +33.6LowKristoffer Ajer is ranked from ARES GIA player input for Brentford in Premier League 2026.
Screen LogicMethodology →

Quality first

Start with ARES Score to establish the football layer, then use Market Score and Gap to frame asset attention.

Confidence before conviction

Use low-confidence names as research leads. Raise conviction only when sample size, recency, and source coverage improve.