Agent
Discoverability

FootVal

Player values, stats & scores

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

FootVal brings independent football player valuations, statistics and live scores into ChatGPT. Ask what a footballer is worth and get FootVal's estimated transfer value next to the market value, with the factors that explain the gap: performance, age and potential, contract, durability, reputation and form. Compare up to four players side by side, scout by league, club, nation, position, age, preferred foot and value, and list the most valuable, most undervalued and most overvalued players, the biggest risers and the best young talents. FootVal also covers live football: scores and fixtures, match centres with events, team statistics and line-ups, league tables, a team's next and recent matches, season leaderboards for goals and assists, and the latest transfer news and rumours. Results appear as interactive cards you can tap through to a player, club, league or match. Who it is for: football fans, fantasy managers, writers and anyone curious about what players are worth. Good to know: FootVal's values are model estimates, not offers or financial advice. Player valuations cover the European top divisions plus MLS and the Saudi Pro League; live data covers the competitions FootVal follows. FootVal is read-only: it never posts, buys or changes anything. Connecting requires signing in to FootVal.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-10-22
Tool count
15
Geography
US
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Primary Subcategory

Competitive lineup

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Tools

15 tools agents can invoke

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FAQs

FootVal ChatGPT Plugin FAQ

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How do I improve FootVal's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.