AI-powered evaluation using the Model Context Optimization BS Detection Framework, based solely on publicly available website content.
Based on 830 businesses audited.
FTBL has 3.7 points less BS than the average for Media, News & Publishing.
Media, News & Publishing BS: FTBL (www.ftbl.com)
FTBL is a functional data ghost; it is a utility dashboard that completely avoids marketing bullshit by refusing to engage in marketing at all. It is low-BS not because it is trustworthy, but because it is too skeletal to be deceptive. It currently functions more as a database endpoint than a media entity.
Immediately implement Organization and Website JSON-LD schema to establish brand identity and authority. Add a descriptive H1 tag to the homepage (e.g., ‘FTBL: Live Global Football Scores and Tournament Tables’) to provide structural context. Create a transparent ‘About’ or ‘Data Sources’ page to explain where the information is sourced and who operates the platform. Populate the empty team and game sub-pages with the substantive data promised by their URL structures.
The information density is exceptionally high in terms of raw data, containing zero marketing power words or fluff. The body text is comprised entirely of specific nouns and numbers, such as team names (Arsenal, Inter Miami), dates (21 May 2026), and match scores (1-0, 5-1). There is no ratio of fluff to specifics because there is no marketing prose present across the 2,964 characters of the homepage.
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There is minimal drift between the homepage signal and the actual content; the meta description identifies the site as a ‘desktop app,’ and the homepage delivers an app-like dashboard of scores. However, the sub-pages (e.g., team and game specific URLs) are essentially empty or insufficient in the current crawl, creating a disconnect between the functional promise of a database and the accessible content. The heading hierarchy is weak, lacking an H1 entirely, which forces the user to infer the site’s purpose from the H2 match schedule and tournament table tags.
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Trust theatre is detected via a review_count of 4 displayed across all pages without any corresponding proof_links_count or external validation paths. This indicates that while social proof is being signaled, there is no way for a user to verify the source or authenticity of these reviews. Additionally, the site lacks any outbound links to external verification sources or data providers, scoring a maximum 5 for proof path absence.
The proof density is paradoxically high yet narrow; every line of text is a verifiable data point (football scores), but there is zero proof of the entity behind the data. There are no links to third-party data providers or certifications that would validate the accuracy of the live scores. The site relies on the inherent ‘truth’ of sports results while providing no corporate transparency.
To examine how structural entropy affects chunking and retrieval, review the Moz Semantic HTML audit. View the Moz Semantic HTML Audit for a complete example of heading logic, landmark integrity, and DOM depth diagnostics.
The site’s value proposition is entirely commoditized; the data presentation of match schedules and league tables could be copy-pasted onto any sports dashboard or gambling site without modification. It lacks every expected industry element defined in the pattern dictionary, including editorial standards, named editorial staff, or a corrections policy. While it avoids industry clichés by virtue of having no prose, it fails to differentiate itself from any other automated sports data feed.
There is a total identity void across the digital footprint. The schema_json is null, meaning there is no Organization or Website structured data to anchor the brand’s authority or ownership. Furthermore, there are no named experts, founders, or journalists, and the technical implementation is flawed with missing H1 tags and numerous pages with zero body content (char_count: 0).
The site makes zero marketing or performance claims, which prevents a disconnect between tone and reality. It presents itself as a utility and delivers a utility, albeit a technologically sparse one. The lack of ‘proven track record’ or ‘world-class’ claims keeps the BS score significantly lower than average marketing-heavy sites.
Media, News & Publishing BS: FTBL (www.ftbl.com)
The site functions as a real-time sports data aggregator rather than a traditional Media or News publishing outlet. While it resides in the sports media category, it lacks the editorial substance, journalistic staff, and content hierarchy typical of the industry.
AI does not interpret your layout visually — it interprets your structure mathematically. Explore the Semantic HTML Technical Framework to understand how heading logic, boundaries, and DOM depth determine what an LLM can retrieve.
“The score of 31 is primarily driven by the Trust and Proof (13) and Identity (10) pillars. The site's failure to provide verifiable links for its 4 reviews and the total absence of structured data or ownership information creates a significant credibility gap. It only maintains a 'Low BS' rating because it contains zero marketing fluff or unsubstantiated performance claims.”
Analysis Disclosure & Source Attribution
Snapshot Date: May 21, 2026
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to see how machine logic interprets digital signals.
Machine Perception Notice: This evaluation is generated by machine-read logic (MRL). The AI interprets the “Digital Ghost” of a website (code, metadata, and semantic structures), which may differ from what a human sees at the same moment. This is an automated technical diagnostic and not a statement of fact or human opinion regarding the real-world integrity or legitimacy of the business. Any missing or inaccessible elements in the snapshot are treated as machine-read signals, reflecting AI rendering limitations rather than intentional omission.
Notice to the Evaluated Business: This analysis is part of a non-adversarial audit. The results are intended as professional feedback to help improve machine-readability and authority signals. Any company can use these insights for free. When content is updated, a fresh audit can be requested at any time to reflect the current state.
To All Users: You are encouraged to visit the live site at FTBL to view the most current version of their content and see directly what the company offers.