12 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 |
|---|---|---|---|---|---|---|---|---|---|
Italy
Serie A
2 ›
|
|||||||||
|
3. Apr
18:30
Full-time
Empoli
1
Lecce
0
|
2,47 / 3,11 / 3,12 | 🔒 | 🔒 | 0,9 0,7 |
-5 -7 |
2,3 1,9 |
🔒 | 🔒 | 🔒 |
|
3. Apr
20:45
Full-time
Sassuolo
1
Torino
1
|
2,46 / 3,27 / 2,99 | 🔒 | 🔒 | 2,1 1,2 |
+6 -4 |
3,2 2,8 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
3. Apr
19:00
Full-time
Aarhus
1
Randers FC
1
|
– | 🔒 | 🔒 | 1,8 1,0 |
+2 -7 |
1,8 2,3 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
2 ›
|
|||||||||
|
3. Apr
19:00
Full-time
Mjallby
2
Varberg
2
|
– | 🔒 | 🔒 | 2,3 1,3 |
+8 -10 |
2,6 3,6 |
🔒 | 🔒 | 🔒 |
|
3. Apr
19:10
Full-time
Elfsborg
0
Hacken
2
|
– | 🔒 | 🔒 | 2,2 2,8 |
+11 +25 |
2,5 3,9 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
3. Apr
19:00
Full-time
Stal Mielec
1
Jagiellonia
1
|
– | 🔒 | 🔒 | 0,5 1,2 |
-7 +1 |
1,5 2,3 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
1 ›
|
|||||||||
|
3. Apr
19:30
Full-time
İstanbulspor
0
Karagumruk
1
|
3,10 / 3,58 / 2,17 | 🔒 | 🔒 | 1,3 1,8 |
-8 +6 |
3,2 4,0 |
🔒 | 🔒 | 🔒 |
France
Ligue 2
1 ›
|
|||||||||
|
3. Apr
20:45
Full-time
Guingamp
0
Bordeaux
1
|
3,23 / 3,17 / 2,24 | 🔒 | 🔒 | 1,4 2,0 |
+1 +6 |
2,3 2,4 |
🔒 | 🔒 | 🔒 |
England
Premier League
1 ›
|
|||||||||
|
3. Apr
21:00
Full-time
Everton
1
Tottenham
1
|
3,41 / 3,36 / 2,21 | 🔒 | 🔒 | 1,2 1,2 |
-7 +0 |
2,3 2,4 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
3. Apr
21:00
Full-time
Valencia
1
Vallecano
1
|
2,12 / 3,21 / 3,81 | 🔒 | 🔒 | 0,7 1,1 |
-8 -3 |
1,6 1,9 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
3. Apr
21:00
Full-time
Albacete
1
Las Palmas
2
|
2,36 / 2,98 / 3,17 | 🔒 | 🔒 | 1,3 1,7 |
+1 +4 |
2,3 2,0 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
3. Apr
21:15
Full-time
Famalicao
0
Arouca
1
|
1,98 / 3,26 / 4,03 | 🔒 | 🔒 | 1,8 1,8 |
+2 +5 |
2,4 1,9 |
🔒 | 🔒 | 🔒 |
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.