Germany · 36 matches in the next 30 days
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Tomorrow
1
|
|||||||||
|
6. Nov
20:30
Hamburg
M'gladbach
|
2,45 / 3,65 / 2,75 | 🔒 | 🔒 | 1,6 0,9 |
-6 -4 |
3,2 4,6 |
🔒 | 🔒 | 🔒 |
|
Saturday 7. November
5
|
|||||||||
|
7. Nov
15:30
Mainz
Bayern Munich
|
7,00 / 6,33 / 1,34 | 🔒 | 🔒 | 1,6 2,6 |
+12 +30 |
4,4 4,4 |
🔒 | 🔒 | 🔒 |
|
7. Nov
15:30
Dortmund
Elversberg
|
1,29 / 6,30 / 8,64 | 🔒 | 🔒 | 2,6 1,6 |
+16 +0 |
2,8 3,8 |
🔒 | 🔒 | 🔒 |
|
7. Nov
15:30
RB Leipzig
Augsburg
|
1,47 / 5,10 / 5,50 | 🔒 | 🔒 | 1,5 1,5 |
+9 +4 |
4,7 4,0 |
🔒 | 🔒 | 🔒 |
|
7. Nov
15:30
Paderborn
Ein Frankfurt
|
3,00 / 3,90 / 2,18 | 🔒 | 🔒 | 1,5 1,2 |
+0 +3 |
2,4 4,7 |
🔒 | 🔒 | 🔒 |
|
7. Nov
18:30
Stuttgart
Werder Bremen
|
1,57 / 4,75 / 4,85 | 🔒 | 🔒 | 1,2 1,5 |
+0 +1 |
3,4 3,5 |
🔒 | 🔒 | 🔒 |
|
Sunday 8. November
3
|
|||||||||
|
8. Nov
15:30
FC Koln
Leverkusen
|
4,00 / 4,30 / 1,76 | 🔒 | 🔒 | 1,1 2,0 |
-8 +10 |
3,2 3,6 |
🔒 | 🔒 | 🔒 |
|
8. Nov
17:30
Freiburg
Union Berlin
|
1,52 / 4,60 / 6,00 | 🔒 | 🔒 | 2,2 1,5 |
+16 -4 |
4,0 3,8 |
🔒 | 🔒 | 🔒 |
|
8. Nov
19:30
Hoffenheim
Schalke 04
|
1,62 / 4,50 / 4,90 | 🔒 | 🔒 | 1,2 1,2 |
-2 -2 |
3,8 2,2 |
🔒 | 🔒 | 🔒 |
|
Friday 20. November
1
|
|||||||||
|
20. Nov
20:30
Bayern Munich
FC Koln
|
– | – | – | 2,6 1,1 |
+30 -8 |
4,4 3,2 |
🔒 | 🔒 | – |
|
Saturday 21. November
6
|
|||||||||
|
21. Nov
15:30
Leverkusen
Paderborn
|
– | – | – | 2,0 1,5 |
+10 +0 |
3,6 2,4 |
🔒 | 🔒 | – |
|
21. Nov
15:30
Ein Frankfurt
Hoffenheim
|
– | – | – | 1,2 1,2 |
+3 -2 |
4,7 3,8 |
🔒 | 🔒 | – |
|
21. Nov
15:30
Union Berlin
RB Leipzig
|
– | – | – | 1,5 1,5 |
-4 +9 |
3,8 4,7 |
🔒 | 🔒 | – |
|
21. Nov
15:30
Elversberg
Freiburg
|
– | – | – | 1,6 2,2 |
+0 +16 |
3,8 4,0 |
🔒 | 🔒 | – |
|
21. Nov
15:30
M'gladbach
Dortmund
|
– | – | – | 0,9 2,6 |
-4 +16 |
4,6 2,8 |
🔒 | 🔒 | – |
|
21. Nov
18:30
Schalke 04
Stuttgart
|
– | – | – | 1,2 1,2 |
-2 +0 |
2,2 3,4 |
🔒 | 🔒 | – |
|
Sunday 22. November
2
|
|||||||||
|
22. Nov
15:30
Augsburg
Mainz
|
– | – | – | 1,5 1,6 |
+4 +12 |
4,0 4,4 |
🔒 | 🔒 | – |
|
22. Nov
17:30
Werder Bremen
Hamburg
|
– | – | – | 1,5 1,6 |
+1 -6 |
3,5 3,2 |
🔒 | 🔒 | – |
|
Friday 27. November
1
|
|||||||||
|
27. Nov
20:30
Werder Bremen
M'gladbach
|
– | – | – | 1,5 0,9 |
+1 -4 |
3,5 4,6 |
🔒 | 🔒 | – |
|
Saturday 28. November
5
|
|||||||||
|
28. Nov
15:30
Mainz
Union Berlin
|
– | – | – | 1,6 1,5 |
+12 -4 |
4,4 3,8 |
🔒 | 🔒 | – |
|
28. Nov
15:30
Hamburg
Bayern Munich
|
– | – | – | 1,6 2,6 |
-6 +30 |
3,2 4,4 |
🔒 | 🔒 | – |
|
28. Nov
15:30
Paderborn
Schalke 04
|
– | – | – | 1,5 1,2 |
+0 -2 |
2,4 2,2 |
🔒 | 🔒 | – |
|
28. Nov
15:30
FC Koln
Elversberg
|
– | – | – | 1,1 1,6 |
-8 +0 |
3,2 3,8 |
🔒 | 🔒 | – |
|
28. Nov
18:30
Stuttgart
Ein Frankfurt
|
– | – | – | 1,2 1,2 |
+0 +3 |
3,4 4,7 |
🔒 | 🔒 | – |
|
Sunday 29. November
3
|
|||||||||
|
29. Nov
15:30
Freiburg
RB Leipzig
|
– | – | – | 2,2 1,5 |
+16 +9 |
4,0 4,7 |
🔒 | 🔒 | – |
|
29. Nov
17:30
Hoffenheim
Augsburg
|
– | – | – | 1,2 1,5 |
-2 +4 |
3,8 4,0 |
🔒 | 🔒 | – |
|
29. Nov
19:30
Dortmund
Leverkusen
|
– | – | – | 2,6 2,0 |
+16 +10 |
2,8 3,6 |
🔒 | 🔒 | – |
|
Saturday 5. December
9
|
|||||||||
|
5. Dec
15:30
Bayern Munich
Paderborn
|
– | – | – | 2,6 1,5 |
+30 +0 |
4,4 2,4 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Freiburg
Hoffenheim
|
– | – | – | 2,2 1,2 |
+16 -2 |
4,0 3,8 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Ein Frankfurt
Werder Bremen
|
– | – | – | 1,2 1,5 |
+3 +1 |
4,7 3,5 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Augsburg
FC Koln
|
– | – | – | 1,5 1,1 |
+4 -8 |
4,0 3,2 |
🔒 | 🔒 | – |
|
5. Dec
15:30
RB Leipzig
Mainz
|
– | – | – | 1,5 1,6 |
+9 +12 |
4,7 4,4 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Schalke 04
Dortmund
|
– | – | – | 1,2 2,6 |
-2 +16 |
2,2 2,8 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Union Berlin
Hamburg
|
– | – | – | 1,5 1,6 |
-4 -6 |
3,8 3,2 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Elversberg
Stuttgart
|
– | – | – | 1,6 1,2 |
+0 +0 |
3,8 3,4 |
🔒 | 🔒 | – |
|
5. Dec
15:30
Leverkusen
M'gladbach
|
– | – | – | 2,0 0,9 |
+10 -4 |
3,6 4,6 |
🔒 | 🔒 | – |
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.