9 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
9 ›
|
|||||||||
|
12. Jan
20:30
Bayern Munich
Leverkusen
|
– | – | – | 2,6 2,0 |
+28 +13 |
3,8 3,5 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Freiburg
Hamburg
|
– | – | – | 2,2 1,3 |
+17 -9 |
4,3 3,5 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Mainz
Hoffenheim
|
– | – | – | 1,7 1,3 |
+13 -3 |
4,3 3,7 |
🔒 | 🔒 | – |
|
12. Jan
20:30
RB Leipzig
Stuttgart
|
– | – | – | 1,5 1,4 |
+4 +2 |
4,2 4,0 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Schalke 04
Werder Bremen
|
– | – | – | 2,0 1,4 |
+5 +0 |
2,9 3,2 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Union Berlin
Paderborn
|
– | – | – | 1,1 1,5 |
-8 -1 |
4,6 2,9 |
🔒 | 🔒 | – |
|
12. Jan
20:30
FC Koln
Dortmund
|
– | – | – | 0,9 2,7 |
-9 +19 |
3,7 3,3 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Elversberg
Ein Frankfurt
|
– | – | – | 2,0 1,0 |
+11 +6 |
4,1 4,8 |
🔒 | 🔒 | – |
|
12. Jan
20:30
Augsburg
M'gladbach
|
– | – | – | 2,0 1,1 |
+8 -2 |
3,6 3,8 |
🔒 | 🔒 | – |
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.