Betting Methodology
Understand how data, confidence scoring, and publishing rules shape every pick.
Methodology
Last updated: March 5, 2026
1) Data and League Scope
BetSigy uses fixture streams, historical match statistics, and market-specific feature engineering for football betting markets. We prioritize leagues where the data quality is stable enough for repeatable pre-match analysis.
2) Prediction Workflow
Tips are produced through a multi-model workflow and grouped by market type (1X2, BTTS, Over/Under, Double Chance, Draw No Bet). This separation helps users compare signals by category instead of relying on one blended output.
3) Confidence and Publishing
- Confidence values are used to rank picks, not to guarantee results.
- Tips are updated during the day and archived after kickoff windows.
- Live pages focus on actionable fixtures only.
4) Risk, Variance, and Limits
Betting outcomes are uncertain even with strong models. Team news, lineup changes, and late market moves can change edge quickly. BetSigy is informational and should be used with bankroll controls and responsible staking.
5) Governance and Accountability
We publish policy pages so users can review how content is written, corrected, and monetized.