6 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 |
|---|---|---|---|---|---|---|---|---|---|
Denmark
DBU Pokalen
3 ›
|
|||||||||
|
6. Apr
15:00
Full-time
Viborg
1
Aalborg
0
|
– | 🔒 | 🔒 | 1,7 1,0 |
+4 -2 |
2,8 2,2 |
🔒 | 🔒 | 🔒 |
|
6. Apr
17:00
Full-time
Silkeborg
3
Sonderjyske
2
|
– | 🔒 | 🔒 | 1,5 1,5 |
+0 +6 |
3,2 3,0 |
🔒 | 🔒 | 🔒 |
|
6. Apr
19:30
Full-time
Vejle
0
FC Copenhagen
0
|
– | 🔒 | 🔒 | 2,0 2,8 |
+10 +22 |
2,6 3,0 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
2 ›
|
|||||||||
|
6. Apr
18:00
Full-time
Slask Wroclaw
0
Piast Gliwice
1
|
– | 🔒 | 🔒 | 1,0 2,0 |
-5 +6 |
2,1 1,6 |
🔒 | 🔒 | 🔒 |
|
6. Apr
20:30
Full-time
Gornik Zabrze
1
Korona Kielce
1
|
– | 🔒 | 🔒 | 0,9 1,8 |
-5 +0 |
1,9 2,4 |
🔒 | 🔒 | 🔒 |
France
Coupe de France
1 ›
|
|||||||||
|
6. Apr
20:45
Full-time
Annecy
1
Toulouse
2
|
– | 🔒 | 🔒 | 0,7 1,5 |
-11 +3 |
3,1 3,5 |
🔒 | 🔒 | 🔒 |
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.