FootmeshAI
FootmeshAI respects user privacy and basic data security.
The site focuses on public football data and editorial content. Necessary technical logs and basic access data are used only for site operation, security, and product improvement.
If the site later adds accounts, subscriptions, or interactive features, this page will be updated accordingly.
Privacy key questions
The personal workspace should help users return to their match research route while keeping site operation, saved work and AI context boundaries clear.
Technical logs, access data, security records and controlled product-interaction events support delivery, diagnosis, performance and usability measurement. Product analytics does not record access tokens, raw prompts or full page URLs.
Saved matches, followed entities, evidence notes, reminder intent and recent reads help continue your own match research route.
AI brief, coverage, evidence matrix and research session should use public match data and backend structured facts, without turning missing data into personal conclusions.
Support messages and limited model-audit details support conversation recovery and troubleshooting. Sensitive patterns such as email, phone, codes, access tokens, and payment data are redacted before Qwen. Human review is not connected today.
You can keep using the public match center, AI Hub, AI Reads and entity pages without entering the personal workspace.
Privacy data-use protocol
FootmeshAI handles necessary information around public football data, page access, account workspaces, and AI match-intelligence routes. The privacy page should explain what supports site operation, what supports personal research paths, and how future interactive features will update this notice.
Necessary technical logs, access data, and security records support page delivery, diagnosis, performance, and security. When product analytics is enabled, it records only controlled event names, language, page path, match ID and allowlisted attributes. It excludes access tokens, raw prompts, full URLs, referrers and persistent user identifiers, and respects Do Not Track and Global Privacy Control.
Saved matches, followed entities, evidence notes, reminder intent, and recent reads are used to help signed-in users return to their own match research routes.
AI brief, coverage, evidence matrix, research session, and related AI Reads should be based on public match data and backend structured facts, without turning missing data into personal conclusions.
Support messages and limited model-audit details support conversation recovery and failure diagnosis. Sensitive patterns are redacted before Qwen; support is AI-only today and is not connected to a human review queue.
If subscriptions, notifications, open questions, collaborative notes, or more account features are added, the privacy notice should update the data sources, usage, and user choices.
