13 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 |
|---|---|---|---|---|---|---|---|---|---|
Turkey
Süper Lig
1 ›
|
|||||||||
|
12. May
18:00
Full-time
Kayserispor
3
Antalyaspor
1
|
1,97 / 3,49 / 3,61 | 🔒 | 🔒 | 2,0 1,6 |
+10 -6 |
2,8 2,6 |
🔒 | 🔒 | 🔒 |
Italy
Serie A
2 ›
|
|||||||||
|
12. May
18:30
Full-time
Venezia
2
Fiorentina
1
|
3,06 / 3,20 / 2,41 | 🔒 | 🔒 | 1,2 1,3 |
-1 +0 |
1,7 2,8 |
🔒 | 🔒 | 🔒 |
|
12. May
20:45
Full-time
Atalanta
2
Roma
1
|
1,99 / 3,54 / 3,71 | 🔒 | 🔒 | 1,7 2,0 |
+8 +3 |
2,0 1,7 |
🔒 | 🔒 | 🔒 |
Norway
OBOS-ligaen
3 ›
|
|||||||||
|
12. May
19:00
Full-time
Kongsvinger
1
Odd
3
|
– | 🔒 | 🔒 | 1,7 1,0 |
+24 -3 |
5,4 2,9 |
🔒 | 🔒 | 🔒 |
|
12. May
19:00
Full-time
Asane
1
Stabaek
1
|
– | 🔒 | 🔒 | 1,8 1,7 |
+8 +2 |
3,4 3,0 |
🔒 | 🔒 | 🔒 |
|
12. May
19:00
Full-time
Skeid
1
Lillestrom
1
|
– | 🔒 | 🔒 | 0,7 2,3 |
-7 +13 |
3,3 3,3 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
12. May
19:00
Full-time
Vejle
2
Lyngby
0
|
– | 🔒 | 🔒 | 1,5 1,2 |
-2 -2 |
3,0 2,0 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
12. May
19:00
Full-time
Puszcza
2
Stal Mielec
3
|
– | 🔒 | 🔒 | 0,5 0,6 |
-16 -11 |
4,6 3,3 |
🔒 | 🔒 | 🔒 |
Norway
NM-cupen
1 ›
|
|||||||||
|
12. May
19:00
Full-time
Aalesund
1
Bodo/Glimt
0
|
– | 🔒 | 🔒 | 2,4 1,6 |
+12 +6 |
3,6 3,0 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
1 ›
|
|||||||||
|
12. May
19:10
Full-time
Goteborg
1
Djurgarden
2
|
– | 🔒 | 🔒 | 1,3 1,4 |
-1 -1 |
3,1 2,1 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
1 ›
|
|||||||||
|
12. May
20:00
Full-time
Den Bosch
1
Cambuur
0
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
12. May
20:30
Full-time
Granada
0
Eibar
2
|
1,78 / 3,39 / 4,61 | 🔒 | 🔒 | 1,6 1,5 |
+4 +3 |
2,4 1,9 |
🔒 | 🔒 | 🔒 |
England
Championship
1 ›
|
|||||||||
|
12. May
21:00
Full-time
Sheffield United
3
Bristol City
0
|
2,03 / 3,33 / 3,81 | 🔒 | 🔒 | 1,6 1,1 |
+8 -10 |
2,4 3,0 |
🔒 | 🔒 | 🔒 |
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.