14 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 |
|---|---|---|---|---|---|---|---|---|---|
England
FA Cup
1 ›
|
|||||||||
|
28. Aug
16:00
Full-time
Lydd Town
4
Deal Town
2
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
Italy
Serie A
2 ›
|
|||||||||
|
28. Aug
18:30
Full-time
Salernitana
1
Udinese
1
|
2,75 / 3,32 / 2,62 | 🔒 | 🔒 | 1,4 0,8 |
+0 -4 |
3,0 2,4 |
🔒 | 🔒 | 🔒 |
|
28. Aug
20:45
Full-time
Cagliari
0
Inter
2
|
6,85 / 4,73 / 1,45 | 🔒 | 🔒 | 2,1 2,4 |
+4 +9 |
2,0 2,7 |
🔒 | 🔒 | 🔒 |
Norway
OBOS-ligaen
1 ›
|
|||||||||
|
28. Aug
19:00
Full-time
Moss
0
Kristiansund
3
|
– | 🔒 | 🔒 | 1,0 1,4 |
-7 +6 |
2,9 3,4 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
2 ›
|
|||||||||
|
28. Aug
19:00
Full-time
Eldense
2
Eibar
1
|
2,88 / 3,00 / 2,59 | 🔒 | 🔒 | – 0,9 |
– -7 |
– 2,3 |
🔒 | 🔒 | 🔒 |
|
28. Aug
21:30
Full-time
Santander
0
Huesca
0
|
2,05 / 3,14 / 3,87 | 🔒 | 🔒 | 1,7 0,8 |
+3 -4 |
2,1 1,6 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
28. Aug
19:00
Full-time
Vejle
0
Brondby
1
|
– | 🔒 | 🔒 | 0,7 1,7 |
-4 +5 |
2,2 3,3 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
3 ›
|
|||||||||
|
28. Aug
19:00
Full-time
AIK
3
Varberg
0
|
– | 🔒 | 🔒 | 1,8 0,9 |
+7 -8 |
2,5 2,6 |
🔒 | 🔒 | 🔒 |
|
28. Aug
19:00
Full-time
Elfsborg
3
Norrkoping
2
|
– | 🔒 | 🔒 | 2,2 1,9 |
+13 +12 |
2,7 3,6 |
🔒 | 🔒 | 🔒 |
|
28. Aug
19:10
Full-time
Sirius
1
Malmo FF
3
|
– | 🔒 | 🔒 | 0,9 1,7 |
+2 +8 |
3,4 2,2 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
2 ›
|
|||||||||
|
28. Aug
19:30
Full-time
Getafe
1
Alaves
0
|
2,28 / 2,93 / 3,80 | 🔒 | 🔒 | 1,5 1,6 |
-1 +3 |
1,3 1,9 |
🔒 | 🔒 | 🔒 |
|
28. Aug
21:30
Full-time
Vallecano
0
Ath Madrid
7
|
4,04 / 3,47 / 1,97 | 🔒 | 🔒 | 1,2 2,1 |
-12 +19 |
3,4 4,1 |
🔒 | 🔒 | 🔒 |
France
Ligue 2
1 ›
|
|||||||||
|
28. Aug
20:45
Full-time
Annecy
1
St Etienne
1
|
3,42 / 3,49 / 2,04 | 🔒 | 🔒 | 1,4 1,5 |
+1 +3 |
2,3 3,1 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
28. Aug
21:15
Full-time
Rio Ave
1
Porto
2
|
6,91 / 4,59 / 1,44 | 🔒 | 🔒 | 0,9 3,0 |
-4 +14 |
2,8 3,0 |
🔒 | 🔒 | 🔒 |
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.