🎯 About BettorAmongUs
Professional data-driven football match predictions
💡 Our mission
BettorAmongUs is an educational project created to demonstrate the application of data analytics and mathematical models in sports betting.
We do not encourage gambling, but rather show how professionals apply statistical analysis to estimate the probability of sporting events.
⚙️ How it works
Data collection
Automatic collection of team statistics, player data, bookmaker odds via API Football-Sports. Over 100 parameters per match.
News analysis
Monitoring news about injuries, suspensions, team morale. Analysis of news impact on match results.
Machine learning
Application of statistical models and algorithms to predict outcome probabilities. Accounting for hundreds of historical matches.
Value searching
Comparing our calculations with bookmaker odds. Selecting only bets with mathematical advantage.
Filtering
Filtering out low-confidence predictions. Publishing only matches where the model shows high accuracy (⭐⭐⭐).
Transparency
Publishing all results - wins and losses. Complete statistics: ROI, win rate, prediction history.
🛠 Technology stack
Python
Pandas, NumPy for data processing. FastAPI for web application.
Football API
API-SPORTS for live match statistics, teams and odds.
Statistics
Statistical models, time series analysis, correlation analysis.
📈 Data sources
- ✅ Match statistics for last 5 seasons
- ✅ Real-time odds from 10+ bookmakers
- ✅ Team news from 50+ sources
- ✅ Injury and suspension information
- ✅ Head-to-head history
- ✅ League tables and team form
⚠️ Responsible gaming
Important to understand: Even the most accurate statistical models cannot guarantee 100% success in sports betting. Football is an unpredictable sport.
- ❌ Do not bet money you cannot afford to lose
- ❌ Do not try to "chase losses" after losing streaks
- ✅ Use our predictions as educational material
- ✅ Apply strict bankroll management (1-3% per bet)
- ✅ Bet for entertainment, not as a source of income
🔞 Gambling can be addictive. Play responsibly.
📬 Contact
Email: info@bettoramongus.com
Telegram: @bettoramongus
GitHub: github.com/bettoramongus
Questions? Suggestions? Found a bug?
We are always open to feedback!