37 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
32 ›
|
|||||||||
|
1. Jun
17:00
Full-time
Sotra
2
Sandnes ULF
1
|
– | 🔒 | 🔒 | – 1,3 |
– +6 |
– 2,8 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Levanger
0
Kristiansund
2
|
– | 🔒 | 🔒 | – 2,1 |
– +6 |
– 3,0 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Strommen
1
Mjondalen
3
|
– | 🔒 | 🔒 | – 1,6 |
– +6 |
– 3,6 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Ull/Kisa
3
Lillestrom
2
|
– | 🔒 | 🔒 | – 1,6 |
– +3 |
– 2,9 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Arendal
0
Jerv
1
|
– | 🔒 | 🔒 | – 1,5 |
– +3 |
– 2,7 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Tromsdalen Uil
1
Tromso
1
|
– | 🔒 | 🔒 | – 1,8 |
– +10 |
– 2,6 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Notodden
2
Odd
5
|
– | 🔒 | 🔒 | – 1,5 |
– +8 |
– 2,8 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Brattvåg
1
hodd
0
|
– | 🔒 | 🔒 | – 1,0 |
– +3 |
– 2,5 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Byåsen
1
Aalesund
6
|
– | 🔒 | 🔒 | – 1,0 |
– -3 |
– 3,1 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Bærum
3
Skeid
0
|
– | 🔒 | 🔒 | – 0,9 |
– -8 |
– 3,4 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Fana
0
Asane
1
|
– | 🔒 | 🔒 | – 1,0 |
– -2 |
– 2,8 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Fjøra
1
Brann
8
|
– | 🔒 | 🔒 | – 2,3 |
– +22 |
– 3,6 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Frigg
3
Sarpsborg 08
5
|
– | 🔒 | 🔒 | – 2,1 |
– +8 |
– 2,8 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Gjelleråsen
1
KFUM Oslo
2
|
– | 🔒 | 🔒 | – 1,8 |
– +7 |
– 2,9 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Gjøvik-Lyn
3
Kongsvinger
3
|
– | 🔒 | 🔒 | – 1,9 |
– +4 |
– 3,6 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Grorud
1
Raufoss
2
|
– | 🔒 | 🔒 | 1,6 1,2 |
-5 +0 |
3,7 2,2 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Junkeren
1
Bodo/Glimt
2
|
– | 🔒 | 🔒 | – 2,5 |
– +15 |
– 3,5 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Kjelsås
3
Stabaek
1
|
– | 🔒 | 🔒 | – 1,6 |
– -1 |
– 3,3 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Lysekloster
1
Sogndal
2
|
– | 🔒 | 🔒 | – 1,9 |
– +3 |
– 2,9 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Mjølner
0
Ham-Kam
8
|
– | 🔒 | 🔒 | – 1,3 |
– +4 |
– 4,2 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Skjervøy
2
Alta
3
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Stjørdals-Blink
2
Rosenborg
1
|
– | 🔒 | 🔒 | 0,9 0,9 |
-15 -6 |
3,7 2,4 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Vard
3
Bryne
1
|
– | 🔒 | 🔒 | – 1,0 |
– -3 |
– 2,5 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Vidar
0
Viking
2
|
– | 🔒 | 🔒 | – 2,0 |
– +10 |
– 3,8 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Ørn Horten
0
Fredrikstad
1
|
– | 🔒 | 🔒 | – 2,0 |
– +7 |
– 1,3 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Strindheim
1
Ranheim
3
|
– | 🔒 | 🔒 | – 1,7 |
– +3 |
– 2,9 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Halsen
0
Start
3
|
– | 🔒 | 🔒 | – 1,9 |
– +9 |
– 4,1 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Stord
1
Haugesund
3
|
– | 🔒 | 🔒 | – 1,2 |
– -4 |
– 2,4 |
🔒 | 🔒 | 🔒 |
|
1. Jun
18:00
Full-time
Melhus
0
Molde
6
|
– | 🔒 | 🔒 | – 1,9 |
– +19 |
– 4,1 |
🔒 | 🔒 | 🔒 |
|
1. Jun
19:00
Full-time
Kvik Halden
0
Moss
2
|
– | 🔒 | 🔒 | – 2,0 |
– +4 |
– 2,6 |
🔒 | 🔒 | 🔒 |
|
1. Jun
19:00
Full-time
Lyn
1
Valerenga
2
|
– | 🔒 | 🔒 | – 1,6 |
– +2 |
– 3,0 |
🔒 | 🔒 | 🔒 |
|
1. Jun
20:00
Full-time
Eik-Tønsberg
1
Stromsgodset
2
|
– | 🔒 | 🔒 | – 1,4 |
– -1 |
– 2,5 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
2 ›
|
|||||||||
|
1. Jun
18:45
Full-time
Heerenveen
1
Twente
2
|
2,86 / 3,37 / 2,43 | 🔒 | 🔒 | 1,5 2,5 |
+0 +22 |
3,2 3,0 |
🔒 | 🔒 | 🔒 |
|
1. Jun
21:00
Full-time
Utrecht
1
Sparta Rotterdam
2
|
1,74 / 3,78 / 4,53 | 🔒 | 🔒 | 1,6 2,1 |
+2 +14 |
2,8 3,2 |
🔒 | 🔒 | 🔒 |
Italy
Serie B
1 ›
|
|||||||||
|
1. Jun
20:30
Full-time
Brescia
1
Cosenza
1
|
– | 🔒 | 🔒 | 1,3 1,2 |
-1 +0 |
2,9 1,4 |
🔒 | 🔒 | 🔒 |
Germany
Bundesliga
1 ›
|
|||||||||
|
1. Jun
20:45
Full-time
Stuttgart
3
Hamburg
0
|
– | 🔒 | 🔒 | 1,6 1,7 |
+6 +6 |
3,6 4,2 |
🔒 | 🔒 | 🔒 |
Scotland
Premiership
1 ›
|
|||||||||
|
1. Jun
21:00
Full-time
Partick
2
Ross County
0
|
– | 🔒 | 🔒 | – 1,0 |
– -7 |
– 3,1 |
🔒 | 🔒 | 🔒 |
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.