AI Model Statistics
Today’s Market Probabilities
All matches analysed by our AI models today, with calculated probabilities per market. These are the numbers our AI uses to select the best picks.
No predictions available for today.
AI Model Statistics
Our machine learning model analyses every football match it can find — not just the 3 tips we publish daily. Below you find the full performance data of the AI across thousands of matches. This is how the model learns and improves over time.
Outcome Distribution
Over/Under 1.5 Distribution
O/U 1.5 Model Accuracy: 37.6% (18118/48124 correct)
Over/Under 2.5 Distribution
O/U Model Accuracy: 53.9% (6108/11326 correct)
Over/Under 3.5 Distribution
O/U 3.5 Model Accuracy: 35.4% (17032/48124 correct)
Both Teams to Score (BTTS)
BTTS Model Accuracy: 28.3% (13615/48124 correct)
Asian Handicap Results
AH Model Accuracy: 59.2% (5808/9805 correct, 878 push)
Accuracy by Competition
| Competition | Matches | Correct | Accuracy |
|---|---|---|---|
| Regionalliga - Ost | 96 | 71 | |
| UEFA Champions League | 741 | 505 | |
| UEFA Europa Conference League | 1147 | 772 | |
| UEFA Europa League | 682 | 441 | |
| Queensland Premier League | 53 | 34 | |
| Capital Territory NPL | 64 | 41 | |
| NPFL | 69 | 43 | |
| Primeira Liga | 924 | 575 | |
| Eredivisie | 948 | 579 | |
| 3. liga - CFL A | 50 | 30 | |
| 3. Division | 103 | 61 | |
| Serie A | 1140 | 673 | |
| Third League - Southeast | 102 | 60 | |
| La Liga | 1140 | 651 | |
| Toppserien | 62 | 35 | |
| 1st League - RS | 62 | 35 | |
| Bundesliga | 973 | 546 | |
| Catarinense - 2 | 59 | 33 | |
| Third NL - Jug | 83 | 46 | |
| 3. Division - Girone 6 | 51 | 28 |
Recent AI Predictions
| Date | Match | 1X2 | Prob | O/U 1.5 | O/U 2.5 | O/U 3.5 | BTTS | AH Line | Actual | Result |
|---|---|---|---|---|---|---|---|---|---|---|
| 20 Jun 2026 | Segunda DivisiónAlmeria vs Malaga | Away Win | 54% | — | Under 2.5 ❌ | — | — | -0.3 (Home) ❌ | Away Win (1-2) | ✅ |
| 14 Jun 2026 | Segunda DivisiónMalaga vs Almeria | Home Win | 56% | — | Over 2.5 ❌ | — | — | -0.5 (Home) ❌ | Draw (0-0) | ❌ |
| 10 Jun 2026 | Segunda DivisiónMalaga vs Las Palmas | Home Win | 56% | Over 1.5 ✅ | Under 2.5 ✅ | Under 3.5 ✅ | BTTS Yes ✅ | -0.5 (Home) ❌ | Draw (1-1) | ❌ |
| 09 Jun 2026 | Segunda DivisiónAlmeria vs Castellón | Away Win | 45% | Over 1.5 ✅ | Over 2.5 ✅ | Over 3.5 ✅ | BTTS Yes ✅ | -0.3 (Home) ✅ | Home Win (3-2) | ❌ |
| 07 Jun 2026 | Segunda DivisiónLas Palmas vs Malaga | Away Win | 49% | Over 1.5 ❌ | Over 2.5 ❌ | Over 3.5 ❌ | BTTS Yes ❌ | -0.3 (Home) ❌ | Away Win (0-1) | ✅ |
| 06 Jun 2026 | Segunda DivisiónCastellón vs Almeria | Home Win | 57% | — | Over 2.5 ❌ | — | — | -0.5 (Home) ❌ | Draw (1-1) | ❌ |
| 31 May 2026 | Segunda DivisiónLeganes vs Mirandes | Away Win | 57% | — | Over 2.5 ❌ | — | — | -0.3 (Home) ✅ | Home Win (1-0) | ❌ |
| 31 May 2026 | Segunda DivisiónCordoba vs Huesca | Home Win | 57% | — | Over 2.5 ❌ | — | — | -0.5 (Home) ❌ | Draw (1-1) | ❌ |
| 31 May 2026 | Segunda DivisiónBurgos vs FC Andorra | Away Win | 52% | — | Under 2.5 ✅ | — | — | +0.0 (Away) | Home Win (1-0) | ❌ |
| 31 May 2026 | Segunda DivisiónDeportivo La Coruna vs Las Palmas | Home Win | 66% | — | Over 2.5 ✅ | — | — | -0.5 (Home) ❌ | Away Win (1-2) | ❌ |
| 31 May 2026 | Segunda DivisiónCastellón vs Eibar | Away Win | 47% | — | Over 2.5 ✅ | — | — | -0.3 (Home) ✅ | Home Win (2-1) | ❌ |
| 31 May 2026 | Segunda DivisiónAlmeria vs Valladolid | Home Win | 60% | — | Under 2.5 ✅ | — | — | -0.5 (Home) ✅ | Home Win (1-0) | ✅ |
| 31 May 2026 | Segunda DivisiónRacing Santander vs Cadiz | Home Win | 78% | — | Over 2.5 ✅ | — | — | -0.5 (Home) ✅ | Home Win (4-1) | ✅ |
| 31 May 2026 | Segunda DivisiónZaragoza vs Malaga | Away Win | 71% | — | Under 2.5 ✅ | — | — | -0.3 (Home) ❌ | Away Win (0-2) | ✅ |
| 30 May 2026 | Segunda DivisiónGranada CF vs Sporting Gijon | Away Win | 47% | — | Over 2.5 ✅ | — | — | -0.3 (Home) ❌ | Away Win (1-2) | ✅ |
Ensemble Model
The ensemble model launched April 1, 2026 and is still building its track record. The GradientBoosting model underneath it scores 61.7% accuracy on 12,700+ historical matches. Ensemble accuracy will stabilise as more data accumulates.
Ensemble Score Distribution & Accuracy
Model accuracy is calculated on settled matches only. The current model uses form, goals average and H2H data as input features. Accuracy improves as more live data is collected.