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 |
|---|---|---|---|---|---|---|---|---|---|
Belgium
Pro League
2 ›
|
|||||||||
|
27. Jul
13:30
Full-time
Anderlecht
5
Westerlo
2
|
1,70 / 3,86 / 4,37 | 🔒 | 🔒 | 1,6 1,4 |
+7 +1 |
2,9 4,1 |
🔒 | 🔒 | 🔒 |
|
27. Jul
18:30
Full-time
Club Brugge
2
Genk
1
|
1,73 / 3,82 / 4,29 | 🔒 | 🔒 | 2,3 1,0 |
+14 -2 |
2,6 2,4 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
3 ›
|
|||||||||
|
27. Jul
14:00
Full-time
Odense
3
Viborg
1
|
– | 🔒 | 🔒 | – 0,9 |
– -3 |
– 2,5 |
🔒 | 🔒 | 🔒 |
|
27. Jul
16:00
Full-time
Silkeborg
0
Fredericia
2
|
– | 🔒 | 🔒 | 1,4 – |
-4 – |
2,8 – |
🔒 | 🔒 | 🔒 |
|
27. Jul
18:00
Full-time
Nordsjaelland
0
Brondby
1
|
– | 🔒 | 🔒 | 1,4 1,3 |
-3 +0 |
3,7 3,0 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
4 ›
|
|||||||||
|
27. Jul
14:00
Full-time
AIK
0
Oster
0
|
– | 🔒 | 🔒 | 1,5 1,0 |
+3 -4 |
1,7 1,8 |
🔒 | 🔒 | 🔒 |
|
27. Jul
14:00
Full-time
Hacken
1
Djurgarden
6
|
– | 🔒 | 🔒 | 1,2 1,4 |
-5 +3 |
2,7 2,9 |
🔒 | 🔒 | 🔒 |
|
27. Jul
16:30
Full-time
Mjallby
2
Sirius
1
|
– | 🔒 | 🔒 | 2,6 0,7 |
+11 -4 |
2,3 3,2 |
🔒 | 🔒 | 🔒 |
|
27. Jul
16:30
Full-time
Varnamo
2
Hammarby
3
|
– | 🔒 | 🔒 | 0,7 2,0 |
-7 +6 |
2,3 2,4 |
🔒 | 🔒 | 🔒 |
Norway
Eliteserien
2 ›
|
|||||||||
|
27. Jul
14:30
Full-time
Bryne
1
Viking
3
|
– | 🔒 | 🔒 | 1,5 1,9 |
-1 +10 |
3,1 3,0 |
🔒 | 🔒 | 🔒 |
|
27. Jul
14:30
Full-time
Rosenborg
4
Tromso
1
|
– | 🔒 | 🔒 | 1,6 2,7 |
+7 +9 |
3,3 3,1 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
3 ›
|
|||||||||
|
27. Jul
14:45
Full-time
Rakow
1
Wisla Plock
2
|
– | 🔒 | 🔒 | 1,9 – |
+8 – |
2,4 – |
🔒 | 🔒 | 🔒 |
|
27. Jul
17:30
Full-time
Jagiellonia
3
Widzew Lodz
2
|
– | 🔒 | 🔒 | 1,3 1,0 |
-5 -2 |
3,1 2,4 |
🔒 | 🔒 | 🔒 |
|
27. Jul
20:15
Full-time
Korona Kielce
0
Legia
2
|
– | 🔒 | 🔒 | 1,2 2,0 |
-3 +6 |
2,7 3,0 |
🔒 | 🔒 | 🔒 |
Switzerland
Super League
2 ›
|
|||||||||
|
27. Jul
16:00
Full-time
Lausanne
3
Winterthur
2
|
– | 🔒 | 🔒 | 1,5 2,0 |
+3 +6 |
3,3 2,8 |
🔒 | 🔒 | 🔒 |
|
27. Jul
16:00
Full-time
Lugano
1
Thun
2
|
– | 🔒 | 🔒 | 0,7 – |
-9 – |
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.