16 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 |
|---|---|---|---|---|---|---|---|---|---|
Poland
Ekstraklasa
3 ›
|
|||||||||
|
20. Jul
14:45
Full-time
GKS Katowice
1
Radomiak Radom
2
|
– | 🔒 | 🔒 | – 1,0 |
– -7 |
– 3,5 |
🔒 | 🔒 | 🔒 |
|
20. Jul
17:30
Full-time
Pogon Szczecin
3
Korona Kielce
0
|
– | 🔒 | 🔒 | 1,4 1,4 |
+5 -1 |
2,3 2,5 |
🔒 | 🔒 | 🔒 |
|
20. Jul
20:15
Full-time
Legia
2
Zaglebie
0
|
– | 🔒 | 🔒 | 2,1 1,3 |
+6 -1 |
2,4 3,1 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
3 ›
|
|||||||||
|
20. Jul
15:00
Full-time
Kalmar
2
Djurgarden
1
|
– | 🔒 | 🔒 | 1,3 2,2 |
-6 +12 |
3,6 2,8 |
🔒 | 🔒 | 🔒 |
|
20. Jul
15:00
Full-time
Varnamo
2
Hacken
2
|
– | 🔒 | 🔒 | 1,4 1,4 |
+3 +0 |
2,7 4,0 |
🔒 | 🔒 | 🔒 |
|
20. Jul
17:30
Full-time
Brommapojkarna
0
Hammarby
2
|
– | 🔒 | 🔒 | 1,0 1,9 |
-11 +6 |
2,7 2,4 |
🔒 | 🔒 | 🔒 |
Norway
OBOS-ligaen
5 ›
|
|||||||||
|
20. Jul
16:00
Full-time
Ranheim
3
Sogndal
0
|
– | 🔒 | 🔒 | 1,5 1,5 |
+3 +4 |
3,3 3,0 |
🔒 | 🔒 | 🔒 |
|
20. Jul
16:00
Full-time
Start
1
Valerenga
2
|
– | 🔒 | 🔒 | 1,1 2,3 |
-4 +21 |
3,4 4,1 |
🔒 | 🔒 | 🔒 |
|
20. Jul
16:00
Full-time
Raufoss
0
Stabaek
0
|
– | 🔒 | 🔒 | 1,5 1,5 |
+0 +3 |
2,0 4,7 |
🔒 | 🔒 | 🔒 |
|
20. Jul
16:00
Full-time
Egersund
0
Bryne
2
|
– | 🔒 | 🔒 | 1,5 1,8 |
+3 +1 |
3,9 3,3 |
🔒 | 🔒 | 🔒 |
|
20. Jul
16:00
Full-time
Lyn
3
Asane
1
|
– | 🔒 | 🔒 | 1,5 0,9 |
+8 -8 |
3,8 3,2 |
🔒 | 🔒 | 🔒 |
Norway
Eliteserien
2 ›
|
|||||||||
|
20. Jul
18:00
Full-time
Sarpsborg 08
1
Brann
1
|
– | 🔒 | 🔒 | 1,0 1,6 |
-10 -1 |
4,6 2,9 |
🔒 | 🔒 | 🔒 |
|
20. Jul
20:15
Full-time
Molde
2
KFUM Oslo
3
|
– | 🔒 | 🔒 | 1,8 1,5 |
+10 +0 |
3,8 3,8 |
🔒 | 🔒 | 🔒 |
Switzerland
Super League
3 ›
|
|||||||||
|
20. Jul
18:00
Full-time
Lugano
2
Grasshoppers
1
|
– | 🔒 | 🔒 | 1,9 1,2 |
+5 +0 |
2,5 2,0 |
🔒 | 🔒 | 🔒 |
|
20. Jul
18:00
Full-time
Yverdon
0
Zurich
2
|
– | 🔒 | 🔒 | 1,3 1,9 |
-3 +4 |
3,1 2,0 |
🔒 | 🔒 | 🔒 |
|
20. Jul
20:30
Full-time
Winterthur
1
St. Gallen
0
|
– | 🔒 | 🔒 | 0,8 1,5 |
-9 +4 |
2,9 3,2 |
🔒 | 🔒 | 🔒 |
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.