12 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 |
|---|---|---|---|---|---|---|---|---|---|
Poland
Ekstraklasa
2 ›
|
|||||||||
|
29. Sep
18:00
Full-time
Stal Mielec
2
Korona Kielce
3
|
– | 🔒 | 🔒 | 1,4 1,2 |
+2 -1 |
2,8 2,3 |
🔒 | 🔒 | 🔒 |
|
29. Sep
20:30
Full-time
Piast Gliwice
3
Widzew Lodz
2
|
– | 🔒 | 🔒 | 1,5 1,1 |
+5 +0 |
1,9 2,8 |
🔒 | 🔒 | 🔒 |
Germany
2. Bundesliga
2 ›
|
|||||||||
|
29. Sep
18:30
Full-time
Hamburg
1
Fortuna Dusseldorf
0
|
2,06 / 3,96 / 3,14 | 🔒 | 🔒 | 1,9 2,0 |
+6 +13 |
3,6 2,7 |
🔒 | 🔒 | 🔒 |
|
29. Sep
18:30
Full-time
Paderborn
3
Schalke 04
1
|
2,23 / 3,78 / 2,90 | 🔒 | 🔒 | 1,4 1,0 |
+3 -5 |
3,3 4,1 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
1 ›
|
|||||||||
|
29. Sep
19:00
Full-time
Samsunspor
1
Gaziantep
2
|
1,91 / 3,60 / 3,87 | 🔒 | 🔒 | – 0,6 |
– -16 |
– 2,8 |
🔒 | 🔒 | 🔒 |
Germany
Bundesliga
1 ›
|
|||||||||
|
29. Sep
20:30
Full-time
Hoffenheim
1
Dortmund
3
|
3,11 / 4,13 / 2,11 | 🔒 | 🔒 | 1,9 2,1 |
+8 +12 |
3,8 3,4 |
🔒 | 🔒 | 🔒 |
Belgium
Pro League
1 ›
|
|||||||||
|
29. Sep
20:45
Full-time
Kortrijk
2
Cercle Brugge
1
|
4,68 / 4,25 / 1,63 | 🔒 | 🔒 | 0,6 1,9 |
-13 +6 |
3,1 2,8 |
🔒 | 🔒 | 🔒 |
England
Championship
1 ›
|
|||||||||
|
29. Sep
21:00
Full-time
Sheffield Weds
0
Sunderland
3
|
3,11 / 3,42 / 2,28 | 🔒 | 🔒 | 0,4 1,7 |
-11 +10 |
2,3 2,8 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
29. Sep
21:00
Full-time
Barcelona
1
Sevilla
0
|
1,38 / 5,35 / 7,92 | 🔒 | 🔒 | 2,3 0,9 |
+15 +0 |
3,5 2,8 |
🔒 | 🔒 | 🔒 |
France
Ligue 1
1 ›
|
|||||||||
|
29. Sep
21:00
Full-time
Strasbourg
0
Lens
1
|
3,55 / 3,46 / 2,12 | 🔒 | 🔒 | 1,2 1,4 |
-3 +0 |
2,3 2,8 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
29. Sep
21:00
Full-time
Leganes
2
Santander
1
|
2,32 / 2,95 / 3,40 | 🔒 | 🔒 | 1,9 1,5 |
+6 +4 |
2,0 2,2 |
🔒 | 🔒 | 🔒 |
Portugal
Primeira Liga
1 ›
|
|||||||||
|
29. Sep
21:15
Full-time
Benfica
1
Porto
0
|
1,93 / 3,64 / 3,85 | 🔒 | 🔒 | 2,2 2,5 |
+11 +11 |
3,3 2,5 |
🔒 | 🔒 | 🔒 |
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.