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 |
|---|---|---|---|---|---|---|---|---|---|
Greece
Super League
1 ›
|
|||||||||
|
31. Oct
17:00
Full-time
Giannina
2
Asteras Tripolis
1
|
2,47 / 3,09 / 2,89 | 🔒 | 🔒 | 0,9 0,8 |
-9 -4 |
3,1 1,6 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
2 ›
|
|||||||||
|
31. Oct
18:00
Full-time
Buyuksehyr
3
Giresunspor
1
|
1,49 / 4,04 / 6,76 | 🔒 | 🔒 | 1,7 0,9 |
+7 -8 |
2,1 2,0 |
🔒 | 🔒 | 🔒 |
|
31. Oct
18:00
Full-time
Sivasspor
0
Antalyaspor
2
|
2,26 / 3,28 / 3,11 | 🔒 | 🔒 | 1,5 1,3 |
+4 -3 |
2,8 3,3 |
🔒 | 🔒 | 🔒 |
Italy
Serie A
2 ›
|
|||||||||
|
31. Oct
18:30
Full-time
Verona
1
Roma
3
|
4,32 / 3,59 / 1,84 | 🔒 | 🔒 | 0,4 1,9 |
-10 +6 |
2,6 2,4 |
🔒 | 🔒 | 🔒 |
|
31. Oct
20:45
Full-time
Monza
1
Bologna
2
|
2,22 / 3,33 / 3,32 | 🔒 | 🔒 | 1,3 1,5 |
-3 +0 |
2,7 2,6 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
31. Oct
19:00
Full-time
Midtjylland
1
Odense
2
|
– | 🔒 | 🔒 | 1,6 1,9 |
+7 +6 |
3,1 2,4 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
2 ›
|
|||||||||
|
31. Oct
19:00
Full-time
Elfsborg
3
Helsingborg
0
|
– | 🔒 | 🔒 | 2,2 0,6 |
+12 -6 |
2,8 3,4 |
🔒 | 🔒 | 🔒 |
|
31. Oct
19:10
Full-time
Norrkoping
0
Djurgarden
1
|
– | 🔒 | 🔒 | 1,5 2,1 |
+5 +8 |
2,9 3,2 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
31. Oct
19:00
Full-time
Radomiak Radom
2
Warta Poznan
3
|
– | 🔒 | 🔒 | 1,5 1,5 |
+2 +4 |
2,6 2,0 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
31. Oct
21:00
Full-time
Elche
0
Getafe
1
|
2,71 / 3,02 / 2,86 | 🔒 | 🔒 | 0,3 1,3 |
-16 -2 |
3,0 2,4 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
31. Oct
21:00
Full-time
Levante
1
Sp Gijon
0
|
2,12 / 3,27 / 3,35 | 🔒 | 🔒 | 1,7 1,4 |
+3 -2 |
2,1 2,4 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
31. Oct
21:15
Full-time
Guimaraes
3
Famalicao
2
|
2,02 / 3,26 / 3,78 | 🔒 | 🔒 | 1,7 1,3 |
+3 +0 |
2,5 2,2 |
🔒 | 🔒 | 🔒 |
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.