Sweden · 16 matches in the next 30 days
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Friday 9. October
1
|
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|
9. Oct
19:00
Goteborg
Vasteras SK
|
– | – | – | 2,0 1,9 |
+8 +1 |
2,8 2,7 |
🔒 | 🔒 | – |
|
Saturday 10. October
3
|
|||||||||
|
10. Oct
15:00
AIK
Brommapojkarna
|
– | – | – | 1,5 1,1 |
+0 -4 |
3,2 3,0 |
🔒 | 🔒 | – |
|
10. Oct
15:00
GAIS
Sirius
|
– | – | – | 1,4 1,9 |
+5 +6 |
2,9 3,0 |
🔒 | 🔒 | – |
|
10. Oct
17:30
Mjallby
Degerfors
|
– | – | – | 0,5 1,2 |
-17 +0 |
3,1 2,4 |
🔒 | 🔒 | – |
|
Sunday 11. October
2
|
|||||||||
|
11. Oct
14:00
Hammarby
Djurgarden
|
– | – | – | 2,0 2,1 |
+13 +20 |
2,5 3,4 |
🔒 | 🔒 | – |
|
11. Oct
16:30
Hacken
Orgryte
|
– | – | – | 1,6 0,8 |
+5 -5 |
2,3 3,3 |
🔒 | 🔒 | – |
|
Monday 12. October
2
|
|||||||||
|
12. Oct
19:00
Elfsborg
Halmstad
|
– | – | – | 2,2 1,1 |
+10 -5 |
2,6 2,1 |
🔒 | 🔒 | – |
|
12. Oct
19:00
Malmo FF
Kalmar
|
– | – | – | 1,6 0,8 |
+3 -5 |
2,7 2,9 |
🔒 | 🔒 | – |
|
Friday 16. October
1
|
|||||||||
|
16. Oct
19:00
Brommapojkarna
Djurgarden
|
– | – | – | 1,1 2,1 |
-4 +20 |
3,0 3,4 |
🔒 | 🔒 | – |
|
Saturday 17. October
1
|
|||||||||
|
17. Oct
17:30
AIK
Goteborg
|
– | – | – | 1,5 2,0 |
+0 +8 |
3,2 2,8 |
🔒 | 🔒 | – |
|
Sunday 18. October
5
|
|||||||||
|
18. Oct
14:00
Sirius
Elfsborg
|
– | – | – | 1,9 2,2 |
+6 +10 |
3,0 2,6 |
🔒 | 🔒 | – |
|
18. Oct
14:00
Vasteras SK
Mjallby
|
– | – | – | 1,9 0,5 |
+1 -17 |
2,7 3,1 |
🔒 | 🔒 | – |
|
18. Oct
16:30
Malmo FF
Hacken
|
– | – | – | 1,6 1,6 |
+3 +5 |
2,7 2,3 |
🔒 | 🔒 | – |
|
18. Oct
16:30
Halmstad
Hammarby
|
– | – | – | 1,1 2,0 |
-5 +13 |
2,1 2,5 |
🔒 | 🔒 | – |
|
18. Oct
16:30
Orgryte
GAIS
|
– | – | – | 0,8 1,4 |
-5 +5 |
3,3 2,9 |
🔒 | 🔒 | – |
|
Monday 19. October
1
|
|||||||||
|
19. Oct
19:00
Degerfors
Kalmar
|
– | – | – | 1,2 0,8 |
+0 -5 |
2,4 2,9 |
🔒 | 🔒 | – |
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.