4 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 |
|---|---|---|---|---|---|---|---|---|---|
Norway
OBOS-ligaen
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
Valerenga
3
Ranheim
1
|
– | 🔒 | 🔒 | 2,5 1,4 |
+23 +1 |
4,1 3,7 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
Brondby
2
Vejle
1
|
– | 🔒 | 🔒 | 1,7 1,3 |
+7 +0 |
3,7 2,8 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
AIK
0
GAIS
1
|
– | 🔒 | 🔒 | 0,9 1,9 |
-7 +3 |
4,3 2,3 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
Rakow
0
Cracovia
1
|
– | 🔒 | 🔒 | 1,0 1,5 |
-4 +3 |
2,0 2,5 |
🔒 | 🔒 | 🔒 |
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.