StavkaGPT site section
Main content and key data
Stats, analytics, and materials
Leagues, teams, and matches
Reference info and navigation
Methodology
How StavkaGPT produces AI predictions
A short overview of data sources, modeling steps, and limitations.
Data sources
We use official match data, team statistics, and market odds where available.
Modeling approach
Probability models combine historical performance, form, and matchup context to estimate outcomes.
Assumptions and limits
No model can account for every factor (injuries, late lineups, weather). Use insights as guidance.
AI Summary
Last updated: 2026-02-05
- • Inputs include match results, team stats, and market lines.
- • Models estimate probabilities for key markets and compute fair odds.
- • Signals are updated on schedule and may vary by league.
- • Always verify context and use responsible bankroll management.
FAQ
Are predictions automated?+
Yes, models run on scheduled updates and refresh across competitions.
Do you include bookmaker margin?+
Fair odds remove margin to highlight model probabilities.
How often are models updated?+
Updates follow league schedules and are more frequent for live data.
Can I rely solely on AI?+
No. Use AI as a decision aid along with your own analysis.
Where can I read metric definitions?+
See the Metrics Glossary page.