Editorial standards & attribution
Match pages on StatsBrain combine automated simulations, data from Sportmonks, and editorial oversight. This page explains how we describe that mix to readers and search engines—consistent with Google's experience, expertise, authoritativeness, and trustworthiness (E-E-A-T) guidance for informational publishers.
What appears on match pages
Narrative blocks labelled as AI-assisted are generated only after the quantitative simulation layer has produced probability bands and scenario summaries. Where you see attribution text at the bottom of a fixture, it reflects our policy: analysis is produced by the StatsBrain AI engine and reviewed by the StatsBrain editorial team before publication.
Review focuses on factual alignment (teams, kickoff context, league), internal consistency with displayed statistics, and avoidance of wagering language. We do not present outputs as personal picks from named tipsters unless an author by-line is explicitly shown.
Authors & by-lines
The default publisher voice is StatsBrain as a collective. When individual analysts publish signed explainers or methodology updates in future, their names, bios, and profiles will be linked from those articles. Guest contributors will always be labelled clearly.
Corrections
If you spot a data mismatch or misleading phrase, email contact@statsbrain.ai or see the About page. Verified fixes are applied at the data layer and redeployed—retroactive transparency matters for trust.