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
3 ›
|
|||||||||
|
20. May
18:00
Full-time
Start
1
Bodo/Glimt
4
|
– | 🔒 | 🔒 | 0,4 2,0 |
-16 +13 |
3,6 3,5 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Lillestrom
1
Kristiansund
2
|
– | 🔒 | 🔒 | 1,6 1,1 |
+2 -6 |
2,6 2,6 |
🔒 | 🔒 | 🔒 |
|
20. May
20:00
Full-time
Aalesund
2
Brann
1
|
– | 🔒 | 🔒 | 1,2 1,7 |
-3 +10 |
3,1 3,6 |
🔒 | 🔒 | 🔒 |
Norway
OBOS-ligaen
8 ›
|
|||||||||
|
20. May
19:00
Full-time
Ranheim
3
hodd
2
|
– | 🔒 | 🔒 | 1,9 1,3 |
+10 -1 |
4,8 2,1 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Sogndal
2
Stabaek
2
|
– | 🔒 | 🔒 | 1,2 1,4 |
-4 +1 |
4,0 3,7 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Kongsvinger
4
Odd
2
|
– | 🔒 | 🔒 | 2,1 1,6 |
+11 +0 |
3,7 4,0 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Strommen
0
Haugesund
7
|
– | 🔒 | 🔒 | 0,8 1,6 |
-15 +2 |
4,5 4,6 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Asane
2
Sandnes ULF
0
|
– | 🔒 | 🔒 | 0,5 1,0 |
-13 -1 |
3,1 3,3 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Raufoss
3
Bryne
0
|
– | 🔒 | 🔒 | 0,8 1,0 |
-6 -5 |
2,6 4,1 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Egersund
0
Lyn
0
|
– | 🔒 | 🔒 | 1,3 0,7 |
+1 -12 |
2,9 3,0 |
🔒 | 🔒 | 🔒 |
|
20. May
19:00
Full-time
Moss
1
Stromsgodset
1
|
– | 🔒 | 🔒 | 1,6 1,7 |
-2 -1 |
3,4 4,5 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
20. May
19:00
Full-time
Torreense
0
Casa Pia
0
|
– | 🔒 | 🔒 | – 0,7 |
– -8 |
– 1,8 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
1 ›
|
|||||||||
|
20. May
19:00
Full-time
GAIS
2
Hammarby
0
|
– | 🔒 | 🔒 | 1,2 1,7 |
+0 +12 |
2,4 3,2 |
🔒 | 🔒 | 🔒 |
Italy
Serie B
1 ›
|
|||||||||
|
20. May
20:00
Full-time
Palermo
2
Catanzaro
0
|
– | 🔒 | 🔒 | 1,8 1,3 |
+3 +4 |
2,5 3,4 |
🔒 | 🔒 | 🔒 |
International
Europa League
1 ›
|
|||||||||
|
20. May
21:00
Full-time
Freiburg
0
Aston Villa
3
|
– | 🔒 | 🔒 | 1,3 1,7 |
-2 +11 |
3,6 3,5 |
🔒 | 🔒 | 🔒 |
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.