13 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
Puchar Polski
1 ›
|
|||||||||
|
1. Apr
18:30
Full-time
Puszcza
0
Pogon Szczecin
3
|
– | 🔒 | 🔒 | 1,0 2,3 |
-6 +14 |
2,6 2,8 |
🔒 | 🔒 | 🔒 |
Norway
OBOS-ligaen
1 ›
|
|||||||||
|
1. Apr
19:00
Full-time
Raufoss
3
Moss
2
|
– | 🔒 | 🔒 | 1,5 1,5 |
+1 +1 |
2,5 3,3 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
1 ›
|
|||||||||
|
1. Apr
20:00
Full-time
AZ Alkmaar
2
Waalwijk
2
|
1,29 / 5,70 / 9,30 | 🔒 | 🔒 | 1,4 1,1 |
+1 +1 |
3,7 3,1 |
🔒 | 🔒 | 🔒 |
Switzerland
Super League
2 ›
|
|||||||||
|
1. Apr
20:30
Full-time
Servette
0
Young Boys
1
|
– | 🔒 | 🔒 | 2,0 2,4 |
+7 +15 |
3,1 2,7 |
🔒 | 🔒 | 🔒 |
|
1. Apr
20:30
Full-time
Yverdon
0
Lugano
2
|
– | 🔒 | 🔒 | 1,4 1,3 |
-5 -2 |
3,5 2,8 |
🔒 | 🔒 | 🔒 |
England
Premier League
3 ›
|
|||||||||
|
1. Apr
20:45
Full-time
Arsenal
2
Fulham
1
|
1,48 / 4,20 / 7,73 | 🔒 | 🔒 | 1,8 1,6 |
+11 -1 |
2,9 2,7 |
🔒 | 🔒 | 🔒 |
|
1. Apr
20:45
Full-time
Wolves
1
West Ham
0
|
2,57 / 3,20 / 2,92 | 🔒 | 🔒 | 1,7 1,1 |
+4 -2 |
2,0 2,0 |
🔒 | 🔒 | 🔒 |
|
1. Apr
21:00
Full-time
Nott'm Forest
1
Man United
0
|
2,32 / 3,42 / 3,13 | 🔒 | 🔒 | 1,6 1,6 |
+9 +6 |
3,1 2,8 |
🔒 | 🔒 | 🔒 |
Germany
DFB-Pokal
1 ›
|
|||||||||
|
1. Apr
20:45
Full-time
Bielefeld
2
Leverkusen
1
|
– | 🔒 | 🔒 | – 1,4 |
– +0 |
– 2,8 |
🔒 | 🔒 | 🔒 |
Italy
Coppa Italia
1 ›
|
|||||||||
|
1. Apr
21:00
Full-time
Empoli
0
Bologna
3
|
– | 🔒 | 🔒 | 0,3 2,5 |
-18 +12 |
2,6 2,6 |
🔒 | 🔒 | 🔒 |
France
Coupe de France
1 ›
|
|||||||||
|
1. Apr
21:10
Full-time
Dunkerque
2
Paris SG
4
|
– | 🔒 | 🔒 | 1,6 2,7 |
-1 +30 |
3,5 4,8 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
1. Apr
21:15
Full-time
Boavista
1
Gil Vicente
3
|
3,75 / 3,20 / 2,09 | 🔒 | 🔒 | 0,3 0,4 |
-14 -10 |
2,6 2,0 |
🔒 | 🔒 | 🔒 |
Spain
Copa del Rey
1 ›
|
|||||||||
|
1. Apr
21:30
Full-time
Real Madrid
4
Sociedad
4
|
– | 🔒 | 🔒 | 2,2 1,2 |
+7 -2 |
3,3 3,8 |
🔒 | 🔒 | 🔒 |
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.