14 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
9 ›
|
|||||||||
|
30. May
02:00
Full-time
Buyuksehyr
3
Gaziantep
0
|
– | 🔒 | 🔒 | 1,5 0,0 |
+6 -30 |
2,2 3,0 |
🔒 | 🔒 | 🔒 |
|
30. May
18:00
Full-time
Hatayspor
0
Ümraniyespor
3
|
– | 🔒 | 🔒 | 0,0 0,9 |
-30 -2 |
3,0 3,2 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Alanyaspor
1
Kasimpasa
3
|
2,24 / 3,74 / 2,87 | 🔒 | 🔒 | 1,3 1,8 |
-1 +3 |
3,7 2,3 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Ankaragücü
1
Galatasaray
4
|
5,51 / 4,79 / 1,48 | 🔒 | 🔒 | 1,4 2,2 |
+0 +16 |
2,8 3,6 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Fenerbahce
2
Antalyaspor
0
|
1,33 / 5,39 / 7,92 | 🔒 | 🔒 | 2,3 1,0 |
+10 -4 |
3,6 2,6 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Giresunspor
2
Trabzonspor
4
|
2,46 / 3,72 / 2,58 | 🔒 | 🔒 | 1,1 1,3 |
-2 +1 |
3,4 3,7 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
İstanbulspor
0
Ad. Demirspor
2
|
2,13 / 4,13 / 2,83 | 🔒 | 🔒 | 1,1 2,4 |
-2 +13 |
2,8 4,1 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Karagumruk
2
Kayserispor
0
|
1,99 / 4,13 / 3,15 | 🔒 | 🔒 | 1,6 1,4 |
+5 -5 |
3,5 4,1 |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Sivasspor
1
Konyaspor
0
|
2,00 / 3,61 / 3,50 | 🔒 | 🔒 | 1,3 1,8 |
-1 +7 |
2,9 2,9 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
30. May
19:00
Full-time
Randers FC
1
Aarhus
3
|
– | 🔒 | 🔒 | 1,1 1,8 |
-4 +6 |
2,8 2,2 |
🔒 | 🔒 | 🔒 |
Sweden
Svenska Cupen
2 ›
|
|||||||||
|
30. May
19:00
Full-time
Rosengård
1
IFK Malmö
0
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
30. May
19:00
Full-time
Torstorps
0
Smedby
3
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
1 ›
|
|||||||||
|
30. May
20:00
Full-time
VVV Venlo
1
Almere City
1
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
Italy
Serie B
1 ›
|
|||||||||
|
30. May
20:30
Full-time
Cagliari
3
Parma
2
|
– | 🔒 | 🔒 | 2,1 2,0 |
+9 +4 |
2,5 2,6 |
🔒 | 🔒 | 🔒 |
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.