Trust & transparency
About StatsBrain
StatsBrain is an independent sports-analytics platform. We combine historical football statistics, simulation models, and human editorial review to produce match-level insights for fans, researchers, and journalists—not bookmaking services or wagering advice.
Our pages are indexed openly (see robots.txt) so search engines can associate this document with the rest of the domain. For reviewer-facing technical depth, start with Methodology; for publisher accountability, see Editorial.
Who we are
StatsBrain is operated by a small product and research team focused on reproducible football analytics. We publish probabilistic projections and analytical narratives only after automated validation and editorial review—see our Editorial standards page for how review works and how to reach us with corrections.
Accuracy & limitations
We publish probability estimates and scenario commentary, not guarantees. Short-term hit rates fluctuate with variance; our engineering goal is well-calibrated forecasts over many fixtures and leagues, not a marketed win-loss percentage.
When models systematically drift—rule changes, scoring spikes, or data outages—we document adjustments in release notes and methodology revisions so downstream readers understand what changed.
Data sources
Fixture lists, results, team metadata, and statistical feeds are sourced primarily from Sportmonks. We normalize club and league identifiers across our upcoming fixture pipeline and historical results archive so team pages, league hubs, and match views stay consistent.
Supplementary squad valuation labels may be joined from separate datasets when available; they never override Sportmonks naming on match rows. If a feed error slips through, we correct at the data layer and redeploy.
What the AI simulation does
For each covered fixture we estimate outcome probabilities using calibrated statistical models—chiefly Poisson-style scoring processes with correlation corrections and large-sample Monte Carlo draws. Generative tools may summarize those distributions into readable commentary, but the quantitative backbone is always logged and versioned like any other analytics pipeline.
We do not claim certainty or a fixed win rate; football variance is the point of modeling it. We monitor calibration over rolling windows and adjust features when league-wide scoring or data quality shifts materially.
Technical detail lives on our Methodology page, written for analysts and quality reviewers as much as for supporters.
Responsible use
StatsBrain is not a gambling operator. Outputs are for education, research, and editorial storytelling. Models can be wrong even when confidence scores read high; combine them with your own judgment and official league sources.
Contact & corrections
Report data errors or attribution concerns at contact@statsbrain.ai. We review actionable messages and patch upstream feeds when appropriate.