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Send us an email and we'll get back to you within 24 hours. We're here to help with any questions about our football analytics platform.

Our Global Offices

We're based in two strategic locations to serve our global client base.

San Francisco, United StatesHQ

PST

Hobart Building Office 582 Market St # 500, San Francisco, CA 94104, United States Suite 420
+1 (415) 555-0123
sf@apeglobalcapital.com
9:00 AM - 6:00 PM

Lisbon, Portugal

WET

R. Gen. Henrique de Carvalho Lote 2, 21600-766 Lisboa, Portugal
+351 21 123 4567
lisbon@apeglobalcapital.com
9:00 AM - 6:00 PM

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Frequently Asked Questions

Quick answers to common questions. Can't find what you're looking for? Get in touch.

What tools do football clubs use for scouting?

Most professional clubs combine video platforms like Wyscout or InStat with data providers such as Opta or StatsBomb. For clubs that need transfer-ready analysis without building an in-house team, services like Football Analytics AI deliver ranked shortlists and risk-scored reports as one-off PDFs.

What agencies help with football player scouting?

Scouting support ranges from traditional agencies with scout networks to data-driven services. Football Analytics AI sits in the latter category — you send a brief with the position and budget, and receive a board-ready shortlist of up to 25 ranked targets within 5-7 working days, covering 21 European leagues.

How is AI used for scouting football players?

AI models screen thousands of players simultaneously by analysing performance data, age curves, and league quality to predict future market value. The output is a ranked shortlist of targets sorted by projected value and risk profile. Football Analytics AI delivers this as board-ready PDF reports used by Champions League and Europa League clubs.

How can you predict youth football talent?

Youth talent prediction relies on expected value (xV) models that compare a player's current output to historical development curves of similar profiles. The approach works best for players under 23, where trajectories are most predictable. Football Analytics AI's xV model achieves 89.4% directional accuracy (correctly predicting whether a player's market value will rise or fall) for U23 players, validated against 9,000+ historical transfers.

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