3 matches · model numbers, form and value in one matrix
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
Germany
Bundesliga
2 ›
|
|||||||||
|
27. Jan
20:30
Full-time
St Pauli
1
RB Leipzig
1
|
4,49 / 3,47 / 1,81 | 🔒 | 🔒 | 1,0 1,7 |
-3 +7 |
2,3 3,3 |
🔒 | 🔒 | 🔒 |
|
27. Jan
20:30
Full-time
Werder Bremen
0
Hoffenheim
2
|
3,49 / 3,61 / 2,00 | 🔒 | 🔒 | 0,6 2,3 |
-12 +15 |
2,8 2,9 |
🔒 | 🔒 | 🔒 |
Italy
Coppa Italia
1 ›
|
|||||||||
|
27. Jan
21:00
Full-time
Fiorentina
1
Como
3
|
– | 🔒 | 🔒 | 1,1 1,9 |
+0 +11 |
2,8 3,1 |
🔒 | 🔒 | 🔒 |
Number of recent matches behind the PPG, goal diff, goals/game and xG columns.
All numbers are statistical estimates from our model. The Value column shows the model's largest deviation from the odds — history shows the market is usually right when the gap is large. Click a row for the full match analysis.