How does Player Scout work?

Player Scout lets you search and filter 78,524 players across 84 leagues. Filter by position, league level, age, value, and strength score, then compare up to 3 players side-by-side with league context and per-90 statistics.

What is league level context in player comparison?

League levels (1-5) reflect the competitive quality of each division. When comparing players from different levels, the tool highlights how league quality affects per-90 stats - a goal in a Level 1 league faces stronger opposition than in a Level 3 league. This context helps scouts evaluate players moving between divisions.

What data caveats should scouts be aware of?

Per-90 stats become less reliable below 900 minutes (flagged with a warning icon). Young players with one strong season may regress. Stats are purely quantitative and do not evaluate the quality of actions or tactical context. This tool is designed as a first screening step - scouts should confirm findings with video analysis and qualitative assessment.

Player Scout

Search, filter, and compare players across leagues and divisions. Narrow your longlist, then confirm with video and scout reports.

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Players

Leagues

Search the full player database with every filter

Showing 20 of 78,524

Position

League Region

League Country

League

Nationality RegionPro

NationalityPro

FootPro

AgencyPro

Contract (yrs)Pro

AgePro

Market ValuePro

Est. WagePro

HeightPro

StrengthPro


Achraf Hakimi	Defender	27	-	-	€11.9M	0.16	0.24
Joshua Kimmich	Midfield	31	-	-	€13.2M	0.10	0.30
Kylian Mbappé	Attack	27	-	-	€19.1M	0.90	0.31
Trent Alexander-Arnold	Defender	27	-	-	€11.6M	0.07	0.28
Jeremie Frimpong	Defender	25	-	-	€8.2M	0.16	0.25
Neymar Contract: 6mo	Midfield	34	-	-	€600K	0.67	0.45
Alejandro Grimaldo	Defender	30	-	-	€10.5M	0.14	0.28
Hakan Çalhanoğlu	Midfield	32	-	-	€8.6M	0.27	0.27
Erling Haaland	Attack	26	-	-	€18.0M	0.99	0.20
Viktor Gyökeres	Attack	28	-	-	€13.8M	0.86	0.21
Phil Foden	Midfield	26	-	-	€12.2M	0.45	0.26
Theo Hernández	Defender	28	-	-	€200K	0.11	0.16
Bruno Fernandes	Midfield	31	-	-	€13.3M	0.35	0.33
Federico Dimarco	Defender	28	-	-	€7.8M	0.15	0.28
David Raum	Defender	28	-	-	€5.7M	0.06	0.27
Nuno Santos	Defender	31	-	-	€2.1M	0.19	0.27
Esequiel Barco		26	-	-	€1.7M	0.39	0.25
Maxim De Cuyper	Defender	25	-	-	€3.5M	0.13	0.20
Cole Palmer	Midfield	24	-	-	€13.6M	0.48	0.26
Joey Veerman	Midfield	27	-	-	€2.5M	0.20	0.37

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Want deeper analysis?

Our AI agents go beyond the data - qualitative assessment, squad fit analysis, and risk profiling.

Ruby

Chief Scout

Natural language player search, scouting signals, risk scores, and free agent shortlists.

Sterling

Sporting Director

Squad planning, budget allocation, age curve analysis, and portfolio valuation.

How We Build Our Data

Per-Game Metrics

Goal and assist rates are shown per game. These rates become less reliable below roughly 900 career minutes – a small sample – so those players are flagged for you to weigh sample size.

League Context

Every statistic is shown alongside its league tier and quality index. Our comparison view automatically adjusts for competitive context when you compare players across different divisions.

Forecast Uncertainty

Our AI valuations weigh recent performance, age, minutes, and league context. Forecasts for young players with one breakout season carry more uncertainty than those for established players with several seasons of data, so treat them as a directional signal rather than a precise figure.

Your Scouting Workflow

This tool is designed as the first step: narrow thousands of players to a shortlist of two or three. Then confirm with video, scout reports, and contextual analysis. Ask Ruby for qualitative assessment.