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 |
|---|---|---|---|---|---|---|---|---|---|
Norway
NM-cupen
1 ›
|
|||||||||
|
17. Sep
18:00
Full-time
Skeid
1
Valerenga
4
|
6,50 / 6,00 / 1,31 | 🔒 | 🔒 | 0,6 1,4 |
-15 +7 |
4,5 5,5 |
🔒 | 🔒 | 🔒 |
Denmark
DBU Pokalen
1 ›
|
|||||||||
|
17. Sep
18:30
Full-time
Vejle
1
Brondby
2
|
3,60 / 3,54 / 1,87 | 🔒 | 🔒 | 1,3 1,6 |
+0 -3 |
2,8 3,3 |
🔒 | 🔒 | 🔒 |
International
Europa League
9 ›
|
|||||||||
|
17. Sep
18:45
Full-time
Levski Sofia
0
Salzburg
1
|
3,30 / 3,60 / 2,11 | 🔒 | 🔒 | 1,5 2,4 |
-1 +16 |
2,3 3,0 |
🔒 | 🔒 | 🔒 |
|
17. Sep
18:45
Full-time
OFI Crete
2
Hoffenheim
0
|
9,00 / 5,50 / 1,32 | 🔒 | 🔒 | 2,1 1,6 |
+11 +0 |
2,7 3,6 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Plzen
0
St. Gilloise
3
|
2,47 / 3,50 / 2,75 | 🔒 | 🔒 | 1,2 2,3 |
-1 +23 |
2,1 4,1 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Crystal Palace
4
Lech Poznan
0
|
1,35 / 5,10 / 8,00 | 🔒 | 🔒 | 1,3 2,2 |
-1 +14 |
3,5 3,6 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Celtic
1
Ferencvarosi TC
3
|
1,70 / 4,10 / 4,60 | 🔒 | 🔒 | 2,4 2,3 |
+10 +9 |
3,4 2,9 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Lillestrom
1
Torreense
2
|
1,62 / 4,10 / 5,10 | 🔒 | 🔒 | 1,4 2,1 |
-3 +6 |
2,7 2,2 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Juventus
5
Nijmegen
0
|
1,17 / 8,00 / 15,84 | 🔒 | 🔒 | 1,6 1,0 |
+6 -10 |
2,4 3,8 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Sociedad
1
Bournemouth
2
|
3,00 / 3,60 / 2,25 | 🔒 | 🔒 | 0,9 1,7 |
-7 +8 |
3,1 2,8 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:00
Full-time
Besiktas
4
Marseille
1
|
1,77 / 4,10 / 4,15 | 🔒 | 🔒 | 2,4 1,0 |
+15 -5 |
2,7 2,9 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
2 ›
|
|||||||||
|
17. Sep
19:00
Full-time
Betis
1
Getafe
0
|
1,64 / 3,62 / 5,42 | 🔒 | 🔒 | 2,4 1,1 |
+3 -3 |
2,9 1,9 |
🔒 | 🔒 | 🔒 |
|
17. Sep
21:30
Full-time
Malaga
1
Villarreal
3
|
3,53 / 3,69 / 1,94 | 🔒 | 🔒 | 1,1 0,8 |
-6 -1 |
2,0 3,9 |
🔒 | 🔒 | 🔒 |
England
League Cup
1 ›
|
|||||||||
|
17. Sep
20:30
Full-time
Man City
5
Norwich
0
|
1,10 / 11,00 / 21,00 | 🔒 | 🔒 | 2,5 1,5 |
+16 -1 |
2,6 3,9 |
🔒 | 🔒 | 🔒 |
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.