Advanced analytics for RNG-based virtual soccer - Automatically connected to your Firebase database
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Total Bets Analyzed
3,256
Stored in Firebase
Average Win Rate
47.2%
across all markets
Lowest House Edge
3.2%
Both Teams Score
Prediction Accuracy
78.5%
based on historical data
Data Management
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Market Analysis
Strategy Recommendation
Based on analysis of 3,256 bets, focus on "Both Teams Score"House edge: 3.2% Actual win rate: 54.3% Recommended stake: 1-2% of bankroll markets where house edge is lowest. Avoid "Over/Under Goals"House edge: 8.1% Actual win rate: 39.1% High variance market markets with 8.1% house edge.
Match Prediction
Enter current match odds to get the best betting market recommendation based on historical data patterns
Home Win Odds
Draw Odds
Away Win Odds
Prediction Result
Enter odds and click "Analyze" to see recommendation
Betting Records Analysis
Data Insight: Your dataset contains 3,256 bets spanning 6 months. The average odds placed is 2.15 with a win rate of 47.2%. The most profitable market has been "Both Teams Score" with a 4.8% return on investment.
Date
Market
Selection
Odds
Stake
Result
Implied %
Actual %
House Edge
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Strategy Simulator
Run simulation to see projected results based on your betting data
Loss Reduction Strategy
Key Principles
Focus exclusively on markets with <5% house edge
Use fractional Kelly staking (0.1-0.3 aggression)
Implement strict 2% daily loss limit
Never chase losses or increase stakes after losing