15 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
Eliteserien
2 ›
|
|||||||||
|
18. Sep
18:00
Full-time
Kristiansund
0
Molde
4
|
– | 🔒 | 🔒 | 1,5 1,8 |
+0 +13 |
2,6 3,1 |
🔒 | 🔒 | 🔒 |
|
18. Sep
19:00
Full-time
Brann
2
KFUM Oslo
0
|
– | 🔒 | 🔒 | 2,0 1,4 |
+7 +0 |
3,3 2,0 |
🔒 | 🔒 | 🔒 |
International
Champions League
6 ›
|
|||||||||
|
18. Sep
18:45
Full-time
Bologna
0
Shakhtar Donetsk
0
|
– | 🔒 | 🔒 | 1,0 – |
-3 – |
2,3 – |
🔒 | 🔒 | 🔒 |
|
18. Sep
18:45
Full-time
Sparta Praha
3
Salzburg
0
|
– | 🔒 | 🔒 | 2,2 2,0 |
+6 +11 |
4,0 4,1 |
🔒 | 🔒 | 🔒 |
|
18. Sep
21:00
Full-time
Man City
0
Inter
0
|
– | 🔒 | 🔒 | 2,5 1,7 |
+19 +12 |
3,3 2,6 |
🔒 | 🔒 | 🔒 |
|
18. Sep
21:00
Full-time
Paris SG
1
Girona
0
|
– | 🔒 | 🔒 | 2,4 1,4 |
+15 +7 |
3,3 3,3 |
🔒 | 🔒 | 🔒 |
|
18. Sep
21:00
Full-time
Celtic
5
Slovan Bratislava
1
|
– | 🔒 | 🔒 | 3,0 1,8 |
+28 +6 |
3,6 3,2 |
🔒 | 🔒 | 🔒 |
|
18. Sep
21:00
Full-time
Club Brugge
0
Dortmund
3
|
– | 🔒 | 🔒 | 1,6 2,2 |
+4 +14 |
2,2 3,2 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
18. Sep
19:00
Full-time
Betis
2
Getafe
1
|
1,98 / 3,08 / 4,64 | 🔒 | 🔒 | 1,6 0,3 |
+4 -10 |
2,0 1,6 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
1 ›
|
|||||||||
|
18. Sep
19:00
Full-time
GAIS
0
Malmo FF
0
|
– | 🔒 | 🔒 | 1,8 1,6 |
+6 +3 |
2,4 2,7 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
1 ›
|
|||||||||
|
18. Sep
19:00
Full-time
Samsunspor
2
Buyuksehyr
0
|
2,44 / 3,21 / 2,93 | 🔒 | 🔒 | 1,3 2,3 |
-1 +13 |
2,3 2,7 |
🔒 | 🔒 | 🔒 |
Switzerland
Super League
1 ›
|
|||||||||
|
18. Sep
19:30
Full-time
Lausanne
1
Lugano
2
|
– | 🔒 | 🔒 | 0,9 1,5 |
-5 -1 |
2,9 3,7 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
1 ›
|
|||||||||
|
18. Sep
20:00
Full-time
Ajax
5
For Sittard
0
|
1,40 / 4,96 / 6,95 | 🔒 | 🔒 | 2,2 0,9 |
+14 -6 |
2,8 2,2 |
🔒 | 🔒 | 🔒 |
England
League Cup
2 ›
|
|||||||||
|
18. Sep
20:45
Full-time
Brighton
3
Wolves
2
|
– | 🔒 | 🔒 | 1,8 0,7 |
+7 -13 |
2,5 3,7 |
🔒 | 🔒 | 🔒 |
|
18. Sep
21:00
Full-time
Coventry
1
Tottenham
2
|
– | 🔒 | 🔒 | 1,1 1,3 |
-2 +1 |
2,2 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.