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 |
|---|---|---|---|---|---|---|---|---|---|
France
Ligue 2
9 ›
|
|||||||||
|
30. Apr
20:00
Montpellier
St Etienne
|
– | – | – | 1,6 1,8 |
+2 +8 |
1,8 3,2 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Dijon
Boulogne
|
– | – | – | – 0,5 |
– -8 |
– 2,2 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Reims
Grenoble
|
– | – | – | 1,8 1,5 |
+8 -1 |
3,6 2,3 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Clermont
Nantes
|
– | – | – | 1,3 1,0 |
+0 -3 |
1,6 2,9 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Laval
Nancy
|
– | – | – | 1,2 1,7 |
-4 +4 |
2,8 2,6 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Pau FC
Guingamp
|
– | – | – | 0,8 0,8 |
-8 -5 |
3,0 2,9 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Rodez
Metz
|
– | – | – | 1,4 1,1 |
+0 -2 |
3,8 2,4 |
🔒 | 🔒 | – |
|
30. Apr
20:00
Dunkerque
Sochaux
|
– | – | – | 1,1 – |
+0 – |
3,6 – |
🔒 | 🔒 | – |
|
30. Apr
20:00
Annecy
Red Star
|
– | – | – | 1,6 1,8 |
+4 +3 |
3,0 2,7 |
🔒 | 🔒 | – |
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.