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Ligue 1
France · 36 matches in the next 30 days
Average goals
2,97
Over 1.5
79 %
Over 2.5
61 %
BLS
63 %
Match outcome H / D / A
44
26
29
Season progress
24 %
72 of 306 matches played · season 2026/27
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Tomorrow
1
|
|||||||||
|
6. Nov
20:45
Toulouse
Strasbourg
|
2,08 / 3,80 / 3,30 | 🔒 | 🔒 | 1,6 1,3 |
+3 -4 |
2,9 4,2 |
🔒 | 🔒 | 🔒 |
|
Saturday 7. November
2
|
|||||||||
|
7. Nov
17:15
Auxerre
Paris FC
|
4,30 / 4,00 / 1,78 | 🔒 | 🔒 | 1,6 1,7 |
-3 +4 |
3,5 2,8 |
🔒 | 🔒 | 🔒 |
|
7. Nov
20:45
Paris SG
Troyes
|
1,14 / 9,00 / 16,75 | 🔒 | 🔒 | 2,1 0,8 |
+12 -8 |
3,4 2,6 |
🔒 | 🔒 | 🔒 |
|
Sunday 8. November
6
|
|||||||||
|
8. Nov
15:00
Rennes
Lille
|
2,15 / 3,70 / 3,20 | 🔒 | 🔒 | 1,7 1,5 |
+2 +2 |
3,6 2,4 |
🔒 | 🔒 | 🔒 |
|
8. Nov
17:15
Angers
Nice
|
3,50 / 3,65 / 2,05 | 🔒 | 🔒 | 1,0 1,5 |
-6 +1 |
2,8 2,3 |
🔒 | 🔒 | 🔒 |
|
8. Nov
17:15
Brest
Lyon
|
2,85 / 3,55 / 2,43 | 🔒 | 🔒 | 1,0 1,7 |
+1 +6 |
3,1 2,6 |
🔒 | 🔒 | 🔒 |
|
8. Nov
17:15
Le Havre
Lorient
|
2,80 / 3,37 / 2,55 | 🔒 | 🔒 | 0,5 1,5 |
-6 +3 |
2,6 1,9 |
🔒 | 🔒 | 🔒 |
|
8. Nov
17:15
Le Mans
Monaco
|
4,30 / 4,10 / 1,75 | 🔒 | 🔒 | 1,1 2,1 |
-3 +8 |
3,1 2,8 |
🔒 | 🔒 | 🔒 |
|
8. Nov
20:45
Lens
Marseille
|
2,08 / 3,99 / 3,20 | 🔒 | 🔒 | 1,9 1,5 |
+7 +4 |
3,7 4,0 |
🔒 | 🔒 | 🔒 |
|
Friday 20. November
1
|
|||||||||
|
20. Nov
20:45
Troyes
Le Havre
|
– | – | – | 0,8 0,5 |
-8 -6 |
2,6 2,6 |
🔒 | 🔒 | – |
|
Saturday 21. November
5
|
|||||||||
|
21. Nov
17:15
Nice
Paris SG
|
– | – | – | 1,5 2,1 |
+1 +12 |
2,3 3,4 |
🔒 | 🔒 | – |
|
21. Nov
20:45
Lille
Lyon
|
– | – | – | 1,5 1,7 |
+2 +6 |
2,4 2,6 |
🔒 | 🔒 | – |
|
21. Nov
20:45
Monaco
Auxerre
|
– | – | – | 2,1 1,6 |
+8 -3 |
2,8 3,5 |
🔒 | 🔒 | – |
|
21. Nov
20:45
Strasbourg
Brest
|
– | – | – | 1,3 1,0 |
-4 +1 |
4,2 3,1 |
🔒 | 🔒 | – |
|
21. Nov
20:45
Lens
Toulouse
|
– | – | – | 1,9 1,6 |
+7 +3 |
3,7 2,9 |
🔒 | 🔒 | – |
|
Sunday 22. November
3
|
|||||||||
|
22. Nov
15:00
Paris FC
Angers
|
– | – | – | 1,7 1,0 |
+4 -6 |
2,8 2,8 |
🔒 | 🔒 | – |
|
22. Nov
17:15
Lorient
Rennes
|
– | – | – | 1,5 1,7 |
+3 +2 |
1,9 3,6 |
🔒 | 🔒 | – |
|
22. Nov
20:45
Marseille
Le Mans
|
– | – | – | 1,5 1,1 |
+4 -3 |
4,0 3,1 |
🔒 | 🔒 | – |
|
Friday 27. November
1
|
|||||||||
|
27. Nov
20:45
Brest
Paris FC
|
– | – | – | 1,0 1,7 |
+1 +4 |
3,1 2,8 |
🔒 | 🔒 | – |
|
Saturday 28. November
5
|
|||||||||
|
28. Nov
17:15
Angers
Lens
|
– | – | – | 1,0 1,9 |
-6 +7 |
2,8 3,7 |
🔒 | 🔒 | – |
|
28. Nov
20:45
Nice
Troyes
|
– | – | – | 1,5 0,8 |
+1 -8 |
2,3 2,6 |
🔒 | 🔒 | – |
|
28. Nov
20:45
Paris SG
Lorient
|
– | – | – | 2,1 1,5 |
+12 +3 |
3,4 1,9 |
🔒 | 🔒 | – |
|
28. Nov
20:45
Le Havre
Strasbourg
|
– | – | – | 0,5 1,3 |
-6 -4 |
2,6 4,2 |
🔒 | 🔒 | – |
|
28. Nov
20:45
Le Mans
Lille
|
– | – | – | 1,1 1,5 |
-3 +2 |
3,1 2,4 |
🔒 | 🔒 | – |
|
Sunday 29. November
3
|
|||||||||
|
29. Nov
15:00
Auxerre
Marseille
|
– | – | – | 1,6 1,5 |
-3 +4 |
3,5 4,0 |
🔒 | 🔒 | – |
|
29. Nov
17:15
Toulouse
Rennes
|
– | – | – | 1,6 1,7 |
+3 +2 |
2,9 3,6 |
🔒 | 🔒 | – |
|
29. Nov
20:45
Lyon
Monaco
|
– | – | – | 1,7 2,1 |
+6 +8 |
2,6 2,8 |
🔒 | 🔒 | – |
|
Saturday 5. December
9
|
|||||||||
|
5. Dec
17:00
Lille
Auxerre
|
– | – | – | 1,5 1,6 |
+2 -3 |
2,4 3,5 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Marseille
Nice
|
– | – | – | 1,5 1,5 |
+4 +1 |
4,0 2,3 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Monaco
Angers
|
– | – | – | 2,1 1,0 |
+8 -6 |
2,8 2,8 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Rennes
Brest
|
– | – | – | 1,7 1,0 |
+2 +1 |
3,6 3,1 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Strasbourg
Lorient
|
– | – | – | 1,3 1,5 |
-4 +3 |
4,2 1,9 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Toulouse
Paris SG
|
– | – | – | 1,6 2,1 |
+3 +12 |
2,9 3,4 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Troyes
Lyon
|
– | – | – | 0,8 1,7 |
-8 +6 |
2,6 2,6 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Paris FC
Le Mans
|
– | – | – | 1,7 1,1 |
+4 -3 |
2,8 3,1 |
🔒 | 🔒 | – |
|
5. Dec
17:00
Lens
Le Havre
|
– | – | – | 1,9 0,5 |
+7 -6 |
3,7 2,6 |
🔒 | 🔒 | – |
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.