Forecasting Agent
The same pipeline behind our 87 published forecasts: an Elo prior, 100,000 Monte-Carlo simulations, and Bayesian updates from key evidence — never a single market price.
Any match, group winner, or title odds. You ask; the forecasting agent does the rest.
InputPublic data gathered by priority: recent national-team results, club form, injuries and lineups, environment (venue, altitude, weather). Every fact dated and sourced; odds pages discarded on sight.
Data layers · market-blindLive Elo feeds a Davidson three-way model for matches; qualification and title questions run 100,000 Monte-Carlo tournament simulations on the official bracket.
Elo · Monte CarloKey evidence becomes a bounded shift on the prior: at most ±8 points per match, nothing moves without evidence; every output carries a confidence tier.
±8pp · confidence tiersMultilingual reports with full sources and methods; every question Brier-scored in public after settlement — wrong calls stay on record.
Traceableν = 0.7 (draw parameter) · R is the live Elo rating · Δ is the evidence-driven bounded shift (|Δ| ≤ 8pp per match, renormalized)
The full workbench is coming soon — try the sample run below.
Pick a real question to see the agent's actual output
2026 FIFA World Cup opening match (Group A): Mexico vs South Africa, Estadio Azteca, Mexico City — 90-minute (regulation incl. stoppage time) result: Mexico win / Draw / South Africa win
Mexico are the clear stronger side — home crowd, altitude, form, and the underlying strength gap all point one way, so we put their win probability at ~73%; but World Cup openers are historically cagey and South Africa's low-block defending makes the draw (~20%) the alternative outcome most worth taking seriously, while a South Africa win is a thin tail event (~7%).