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 |
|---|---|---|---|---|---|---|---|---|---|
Austria
Bundesliga
3 ›
|
|||||||||
|
22. Apr
18:30
Full-time
Grazer AK
0
Hartberg
3
|
– | 🔒 | 🔒 | 0,6 1,2 |
-10 -2 |
2,0 2,8 |
🔒 | 🔒 | 🔒 |
|
22. Apr
18:30
Full-time
Tirol
1
Altach
0
|
– | 🔒 | 🔒 | 0,9 1,0 |
-5 -6 |
3,1 2,6 |
🔒 | 🔒 | 🔒 |
|
22. Apr
20:30
Full-time
A. Klagenfurt
1
LASK
4
|
– | 🔒 | 🔒 | 0,9 2,5 |
-6 +10 |
4,0 2,6 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
2 ›
|
|||||||||
|
22. Apr
19:00
Full-time
Valencia
1
Espanol
1
|
1,98 / 3,34 / 4,13 | 🔒 | 🔒 | 1,7 1,6 |
+1 +6 |
2,5 2,2 |
🔒 | 🔒 | 🔒 |
|
22. Apr
21:30
Full-time
Barcelona
1
Mallorca
0
|
1,23 / 6,61 / 12,07 | 🔒 | 🔒 | 2,5 1,3 |
+14 +2 |
3,4 2,0 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
22. Apr
19:00
Full-time
Nordsjaelland
3
Midtjylland
2
|
– | 🔒 | 🔒 | 1,6 1,3 |
+3 +0 |
3,1 4,0 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
22. Apr
19:00
Full-time
Stal Mielec
0
Gornik Zabrze
0
|
– | 🔒 | 🔒 | 0,6 1,0 |
-10 -2 |
3,2 2,6 |
🔒 | 🔒 | 🔒 |
Belgium
Pro League
3 ›
|
|||||||||
|
22. Apr
20:30
Full-time
Mechelen
2
Westerlo
3
|
1,66 / 4,31 / 4,35 | 🔒 | 🔒 | 1,0 1,6 |
-4 +3 |
3,6 2,9 |
🔒 | 🔒 | 🔒 |
|
22. Apr
20:30
Full-time
Dender
2
Charleroi
1
|
3,14 / 3,42 / 2,21 | 🔒 | 🔒 | 1,2 1,1 |
-5 +0 |
3,1 2,4 |
🔒 | 🔒 | 🔒 |
|
22. Apr
20:30
Full-time
Standard
0
Oud-Heverlee Leuven
1
|
2,22 / 3,18 / 3,34 | 🔒 | 🔒 | 0,7 1,2 |
-7 -1 |
2,1 2,7 |
🔒 | 🔒 | 🔒 |
France
Ligue 1
1 ›
|
|||||||||
|
22. Apr
20:45
Full-time
Nantes
1
Paris SG
1
|
6,94 / 5,15 / 1,40 | 🔒 | 🔒 | 1,0 2,5 |
-9 +16 |
3,1 3,8 |
🔒 | 🔒 | 🔒 |
England
Premier League
1 ›
|
|||||||||
|
22. Apr
21:00
Full-time
Man City
2
Aston Villa
1
|
1,85 / 4,06 / 3,93 | 🔒 | 🔒 | 2,3 2,4 |
+11 +15 |
2,7 3,3 |
🔒 | 🔒 | 🔒 |
Portugal
Taça de Portugal
1 ›
|
|||||||||
|
22. Apr
21:45
Full-time
Rio Ave
1
Sp Lisbon
2
|
– | 🔒 | 🔒 | 0,7 2,8 |
-6 +16 |
2,6 2,8 |
🔒 | 🔒 | 🔒 |
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.