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Champions League
European cup · 36 matches in the next 30 days
Average goals
3,05
Over 1.5
82 %
Over 2.5
57 %
BLS
56 %
Match outcome H / D / A
54
20
26
Season progress
46 %
108 of 234 matches played · season 2026/27
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Tuesday 13. October
9
|
|||||||||
|
13. Oct
18:45
Lens
Sp Lisbon
|
– | – | – | 1,6 2,1 |
+6 +13 |
3,4 3,5 |
🔒 | 🔒 | – |
|
13. Oct
18:45
Sabah FA
Slavia Praha
|
– | – | – | 1,8 – |
+5 – |
3,1 – |
🔒 | 🔒 | – |
|
13. Oct
21:00
Arsenal
Lille
|
– | – | – | 2,5 1,7 |
+9 +3 |
2,5 2,3 |
🔒 | 🔒 | – |
|
13. Oct
21:00
RB Leipzig
PSV Eindhoven
|
– | – | – | 1,5 2,3 |
+4 +21 |
4,2 4,7 |
🔒 | 🔒 | – |
|
13. Oct
21:00
Inter
Club Brugge
|
– | – | – | 2,1 2,4 |
+11 +17 |
3,9 2,9 |
🔒 | 🔒 | – |
|
13. Oct
21:00
Ath Madrid
Man United
|
– | – | – | 1,9 1,5 |
+5 +7 |
3,3 3,3 |
🔒 | 🔒 | – |
|
13. Oct
21:00
Villarreal
Napoli
|
– | – | – | 1,1 1,4 |
+2 +3 |
3,8 2,3 |
🔒 | 🔒 | – |
|
13. Oct
21:00
Galatasaray
Barcelona
|
– | – | – | 1,6 2,7 |
-1 +28 |
3,9 5,2 |
🔒 | 🔒 | – |
|
13. Oct
21:00
Viking
Bayern Munich
|
– | – | – | 2,0 2,6 |
+13 +28 |
3,9 3,8 |
🔒 | 🔒 | – |
|
Wednesday 14. October
9
|
|||||||||
|
14. Oct
18:45
Feyenoord
Como
|
– | – | – | 2,1 2,3 |
+16 +11 |
4,2 2,7 |
🔒 | 🔒 | – |
|
14. Oct
18:45
LASK
Liverpool
|
– | – | – | 1,9 1,7 |
+12 +4 |
3,6 2,8 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Man City
Paris SG
|
– | – | – | 2,5 1,8 |
+15 +8 |
3,1 3,0 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Aston Villa
Fenerbahce
|
– | – | – | 1,9 1,8 |
+4 +12 |
3,4 3,0 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Bodo/Glimt
Dortmund
|
– | – | – | 2,4 2,7 |
+10 +19 |
4,2 3,3 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Roma
Real Madrid
|
– | – | – | 2,6 2,4 |
+20 +14 |
3,2 3,6 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Betis
Porto
|
– | – | – | 2,2 2,4 |
+2 +12 |
2,8 2,8 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Shakhtar Donetsk
AEK
|
– | – | – | 1,5 2,2 |
+4 +20 |
2,8 2,8 |
🔒 | 🔒 | – |
|
14. Oct
21:00
Slovan Bratislava
Stuttgart
|
– | – | – | 2,0 1,4 |
+1 +2 |
2,7 4,0 |
🔒 | 🔒 | – |
|
Tuesday 20. October
9
|
|||||||||
|
20. Oct
18:45
Fenerbahce
Slavia Praha
|
– | – | – | 1,8 – |
+12 – |
3,0 – |
🔒 | 🔒 | – |
|
20. Oct
18:45
Sabah FA
Dortmund
|
– | – | – | 1,8 2,7 |
+5 +19 |
3,1 3,3 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Liverpool
Villarreal
|
– | – | – | 1,7 1,1 |
+4 +2 |
2,8 3,8 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Man City
AEK
|
– | – | – | 2,5 2,2 |
+15 +20 |
3,1 2,8 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Paris SG
Barcelona
|
– | – | – | 1,8 2,7 |
+8 +28 |
3,0 5,2 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Stuttgart
Ath Madrid
|
– | – | – | 1,4 1,9 |
+2 +5 |
4,0 3,3 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Porto
PSV Eindhoven
|
– | – | – | 2,4 2,3 |
+12 +21 |
2,8 4,7 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Napoli
Bodo/Glimt
|
– | – | – | 1,4 2,4 |
+3 +10 |
2,3 4,2 |
🔒 | 🔒 | – |
|
20. Oct
21:00
Roma
Slovan Bratislava
|
– | – | – | 2,6 2,0 |
+20 +1 |
3,2 2,7 |
🔒 | 🔒 | – |
|
Wednesday 21. October
9
|
|||||||||
|
21. Oct
18:45
Lille
Galatasaray
|
– | – | – | 1,7 1,6 |
+3 -1 |
2,3 3,9 |
🔒 | 🔒 | – |
|
21. Oct
18:45
Como
Man United
|
– | – | – | 2,3 1,5 |
+11 +7 |
2,7 3,3 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Aston Villa
Viking
|
– | – | – | 1,9 2,0 |
+4 +13 |
3,4 3,9 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Bayern Munich
Arsenal
|
– | – | – | 2,6 2,5 |
+28 +9 |
3,8 2,5 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Sp Lisbon
LASK
|
– | – | – | 2,1 1,9 |
+13 +12 |
3,5 3,6 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Inter
Shakhtar Donetsk
|
– | – | – | 2,1 1,5 |
+11 +4 |
3,9 2,8 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Real Madrid
RB Leipzig
|
– | – | – | 2,4 1,5 |
+14 +4 |
3,6 4,2 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Betis
Feyenoord
|
– | – | – | 2,2 2,1 |
+2 +16 |
2,8 4,2 |
🔒 | 🔒 | – |
|
21. Oct
21:00
Club Brugge
Lens
|
– | – | – | 2,4 1,6 |
+17 +6 |
2,9 3,4 |
🔒 | 🔒 | – |
General
Stats window
Number of recent matches behind the PPG, goal diff, goals/game and xG columns.
Model filters Pro
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Favourite chance (model)
0%
Min. expected goals
0
Max expected goals
6
Min. both teams to score
0%
Min. value edge
0%
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.