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 |
|---|---|---|---|---|---|---|---|---|---|
Denmark
Superligaen
1 ›
|
|||||||||
|
29. Apr
19:00
Full-time
Silkeborg
3
Midtjylland
0
|
– | 🔒 | 🔒 | 0,8 1,6 |
-3 +2 |
3,1 2,8 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
4 ›
|
|||||||||
|
29. Apr
19:00
Full-time
Brommapojkarna
0
Goteborg
3
|
– | 🔒 | 🔒 | 1,5 1,6 |
+5 -1 |
2,9 2,7 |
🔒 | 🔒 | 🔒 |
|
29. Apr
19:00
Full-time
Elfsborg
2
Sirius
0
|
– | 🔒 | 🔒 | 1,1 1,5 |
-3 +3 |
3,1 2,1 |
🔒 | 🔒 | 🔒 |
|
29. Apr
19:00
Full-time
Mjallby
3
Kalmar
2
|
– | 🔒 | 🔒 | 1,7 1,0 |
+4 -3 |
3,0 3,1 |
🔒 | 🔒 | 🔒 |
|
29. Apr
19:10
Full-time
Hammarby
2
Vasteras SK
1
|
– | 🔒 | 🔒 | 1,4 1,0 |
+3 -2 |
3,1 2,0 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
29. Apr
19:00
Full-time
Puszcza
1
Korona Kielce
1
|
– | 🔒 | 🔒 | 1,2 0,9 |
+0 -2 |
2,0 2,4 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
1 ›
|
|||||||||
|
29. Apr
19:00
Full-time
Karagumruk
4
Antalyaspor
1
|
2,17 / 3,32 / 3,31 | 🔒 | 🔒 | 1,2 1,1 |
-1 -7 |
2,7 2,7 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
29. Apr
20:30
Full-time
Ferrol
0
Mirandes
2
|
2,05 / 3,09 / 3,84 | 🔒 | 🔒 | 1,1 1,1 |
-4 -6 |
2,4 2,6 |
🔒 | 🔒 | 🔒 |
Italy
Serie A
1 ›
|
|||||||||
|
29. Apr
20:45
Full-time
Genoa
3
Cagliari
0
|
2,28 / 3,16 / 3,42 | 🔒 | 🔒 | 1,3 1,4 |
+3 +0 |
2,3 2,8 |
🔒 | 🔒 | 🔒 |
France
Ligue 2
1 ›
|
|||||||||
|
29. Apr
20:45
Full-time
Dunkerque
1
Auxerre
3
|
4,14 / 3,59 / 1,79 | 🔒 | 🔒 | 1,4 1,7 |
-3 +6 |
2,3 2,6 |
🔒 | 🔒 | 🔒 |
England
Championship
1 ›
|
|||||||||
|
29. Apr
21:00
Full-time
Preston
0
Leicester
3
|
6,49 / 4,55 / 1,45 | 🔒 | 🔒 | 1,0 1,6 |
-3 +7 |
2,1 3,1 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
29. Apr
21:00
Full-time
Barcelona
4
Valencia
2
|
1,36 / 5,26 / 8,27 | 🔒 | 🔒 | 2,2 1,2 |
+7 -3 |
3,1 1,9 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
29. Apr
21:15
Full-time
Estrela
0
Farense
3
|
2,15 / 3,34 / 3,40 | 🔒 | 🔒 | 0,8 0,8 |
-7 -2 |
2,7 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.