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
4 ›
|
|||||||||
|
3. Mar
14:00
Full-time
Gaziantep
3
Eyüpspor
1
|
2,36 / 3,42 / 2,87 | 🔒 | 🔒 | 1,4 1,4 |
+0 +1 |
2,6 2,5 |
🔒 | 🔒 | 🔒 |
|
3. Mar
14:00
Full-time
Konyaspor
1
Trabzonspor
0
|
2,60 / 3,42 / 2,58 | 🔒 | 🔒 | 0,9 1,6 |
-2 +8 |
3,0 3,0 |
🔒 | 🔒 | 🔒 |
|
3. Mar
18:30
Full-time
Buyuksehyr
1
Sivasspor
0
|
1,68 / 3,79 / 4,85 | 🔒 | 🔒 | 1,5 0,6 |
+5 -8 |
2,7 2,4 |
🔒 | 🔒 | 🔒 |
|
3. Mar
18:30
Full-time
Goztep
2
Samsunspor
2
|
2,02 / 3,34 / 3,70 | 🔒 | 🔒 | 1,2 1,8 |
+5 +1 |
2,5 2,3 |
🔒 | 🔒 | 🔒 |
Sweden
Svenska Cupen
2 ›
|
|||||||||
|
3. Mar
18:30
Full-time
Hammarby
2
Kalmar
1
|
– | 🔒 | 🔒 | 2,0 1,2 |
+10 -4 |
2,2 2,8 |
🔒 | 🔒 | 🔒 |
|
3. Mar
18:30
Full-time
Varberg
1
Stockholm Internazionale
2
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
3. Mar
19:00
Full-time
Brondby
1
Lyngby
1
|
– | 🔒 | 🔒 | 1,9 0,5 |
+10 -7 |
3,2 1,9 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
3. Mar
19:00
Full-time
Rakow
3
Lechia Gdansk
1
|
– | 🔒 | 🔒 | 1,9 1,1 |
+5 -6 |
2,5 2,2 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
3. Mar
20:30
Full-time
Mirandes
2
Tenerife
0
|
1,86 / 3,09 / 4,66 | 🔒 | 🔒 | 1,7 0,8 |
+9 -6 |
2,7 2,4 |
🔒 | 🔒 | 🔒 |
England
FA Cup
1 ›
|
|||||||||
|
3. Mar
20:30
Full-time
Nott'm Forest
1
Ipswich
1
|
– | 🔒 | 🔒 | 1,3 0,8 |
+3 -10 |
3,7 3,8 |
🔒 | 🔒 | 🔒 |
Italy
Serie A
1 ›
|
|||||||||
|
3. Mar
20:45
Full-time
Juventus
2
Verona
0
|
1,29 / 5,37 / 10,71 | 🔒 | 🔒 | 1,9 1,1 |
+4 -10 |
2,6 2,2 |
🔒 | 🔒 | 🔒 |
France
Ligue 2
1 ›
|
|||||||||
|
3. Mar
20:45
Full-time
Ajaccio
1
Dunkerque
2
|
3,41 / 2,88 / 2,27 | 🔒 | 🔒 | 1,5 2,2 |
-3 +10 |
2,5 2,4 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
3. Mar
21:15
Full-time
Sp Lisbon
3
Estoril
1
|
1,19 / 7,03 / 12,53 | 🔒 | 🔒 | 1,7 2,0 |
+4 +2 |
2,6 3,6 |
🔒 | 🔒 | 🔒 |
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.