13-Match Coupon Engine
Optimized reduced systems generated via Monte Carlo simulations and entropy-based value detection.
Financial Metrics & ROI Curve
Realized returns, payout history, and total bankroll performance across historical weeks.
Current Round: Kalman Probabilities
| # | Match | Kalman Prob (1-X-2) | SVS Distribution | Value Edge | Rec. Mark |
|---|---|---|---|---|---|
| 1 | Arsenal - Chelsea | 54% - 26% - 20% | 62% - 22% - 16% | X2 Value | 1 X |
| 2 | Aston Villa - Newcastle | 38% - 29% - 33% | 48% - 28% - 24% | +9% Edge (2) | 1 X 2 |
| 3 | Brighton - Everton | 61% - 23% - 16% | 59% - 25% - 16% | Fair Line | 1 |
| 4 | Crystal Palace - Fulham | 42% - 31% - 27% | 50% - 26% - 24% | +5% Edge (X) | 1 X |
| 5 | Tottenham - Brentford | 58% - 24% - 18% | 68% - 20% - 12% | +6% Edge (2) | 1 2 |
Mathematical & System Architecture
Four core algorithms power the predictive pipeline to filter market noise and isolate true expected value.
1. Kalman Matrix Filter
Recursively updates team offensive and defensive latent parameters using xG, goal differentials, and shot metrics while accounting for process noise.
2. Monte Carlo Coupon Sampler
Simulates 100,000 full coupon outcomes to evaluate pool prize distribution dynamics and construct reduced mathematical guarantees (e.g. R288).
3. Shannon Entropy Optimization
Measures public over-betting bias against true mathematical probabilities to maximize sole-winner jackpot probability.
4. Fractional Kelly Sizing
Dynamically scales weekly system cost based on calculated pool EV, protecting bankroll against long-tail variance.
Historical Backfill & Performance Log
Verified results per weekly round calculated against official Svenska Spel outcomes.
| Round | Date | Correct (Hits) | Cost | Payout | Net Return |
|---|---|---|---|---|---|
| Round 11 | 2026-03-21 | 12 Correct | 288 SEK | 1,420 SEK | +1,132 SEK |
| Round 10 | 2026-03-14 | 11 Correct | 288 SEK | 180 SEK | -108 SEK |
| Round 9 | 2026-03-07 | 13 Correct | 288 SEK | 12,650 SEK | +12,362 SEK |