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 |
|---|---|---|---|---|---|---|---|---|---|
Turkey
Süper Lig
3 ›
|
|||||||||
|
2. Feb
15:00
Full-time
Ankaragücü
0
Sivasspor
0
|
1,97 / 3,38 / 3,87 | 🔒 | 🔒 | 1,2 1,5 |
+2 +0 |
1,8 2,2 |
🔒 | 🔒 | 🔒 |
|
2. Feb
15:00
Full-time
Hatayspor
3
Karagumruk
1
|
2,79 / 3,11 / 2,60 | 🔒 | 🔒 | 1,0 0,7 |
-4 -6 |
1,8 2,8 |
🔒 | 🔒 | 🔒 |
|
2. Feb
18:00
Full-time
Samsunspor
0
Galatasaray
2
|
4,68 / 4,03 / 1,66 | 🔒 | 🔒 | 1,5 2,3 |
+2 +13 |
2,6 2,5 |
🔒 | 🔒 | 🔒 |
Germany
2. Bundesliga
2 ›
|
|||||||||
|
2. Feb
18:30
Full-time
Karlsruhe
2
Wehen
2
|
1,65 / 4,26 / 4,58 | 🔒 | 🔒 | 1,6 1,4 |
+2 +0 |
4,2 3,0 |
🔒 | 🔒 | 🔒 |
|
2. Feb
18:30
Full-time
Magdeburg
1
Holstein Kiel
1
|
2,50 / 3,67 / 2,58 | 🔒 | 🔒 | 1,1 1,8 |
+0 +8 |
2,6 3,4 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
1 ›
|
|||||||||
|
2. Feb
20:00
Full-time
Almere City
2
Excelsior
1
|
2,15 / 3,39 / 3,43 | 🔒 | 🔒 | 1,3 0,9 |
-6 -5 |
3,0 3,7 |
🔒 | 🔒 | 🔒 |
Germany
Bundesliga
1 ›
|
|||||||||
|
2. Feb
20:30
Full-time
Heidenheim
0
Dortmund
0
|
3,94 / 4,32 / 1,81 | 🔒 | 🔒 | 1,4 1,4 |
+0 +6 |
2,6 2,6 |
🔒 | 🔒 | 🔒 |
Italy
Serie B
1 ›
|
|||||||||
|
2. Feb
20:30
Full-time
Palermo
3
Bari
0
|
1,75 / 3,51 / 4,83 | 🔒 | 🔒 | 1,6 0,9 |
+4 -7 |
4,0 2,3 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
2. Feb
20:30
Full-time
Elche
2
Burgos
0
|
1,89 / 3,15 / 4,59 | 🔒 | 🔒 | 1,7 1,7 |
+4 +1 |
2,0 2,5 |
🔒 | 🔒 | 🔒 |
Italy
Serie A
1 ›
|
|||||||||
|
2. Feb
20:45
Full-time
Lecce
3
Fiorentina
2
|
3,71 / 3,30 / 2,13 | 🔒 | 🔒 | 0,9 1,3 |
-6 +0 |
2,4 1,8 |
🔒 | 🔒 | 🔒 |
England
Championship
1 ›
|
|||||||||
|
2. Feb
21:00
Full-time
Bristol City
0
Leeds
1
|
4,85 / 3,73 / 1,74 | 🔒 | 🔒 | 1,1 2,0 |
+0 +13 |
1,8 2,5 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
2. Feb
21:00
Full-time
Ath Bilbao
4
Mallorca
0
|
1,55 / 3,96 / 6,95 | 🔒 | 🔒 | 2,5 1,5 |
+16 +0 |
2,4 2,4 |
🔒 | 🔒 | 🔒 |
France
Ligue 1
1 ›
|
|||||||||
|
2. Feb
21:00
Full-time
Strasbourg
1
Paris SG
2
|
6,25 / 4,63 / 1,50 | 🔒 | 🔒 | 1,8 2,4 |
+7 +20 |
2,9 3,6 |
🔒 | 🔒 | 🔒 |
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.