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 |
|---|---|---|---|---|---|---|---|---|---|
Italy
Serie A
2 ›
|
|||||||||
|
23. Oct
18:30
Full-time
Udinese
1
Lecce
1
|
2,19 / 3,26 / 3,56 | 🔒 | 🔒 | 0,9 1,6 |
-5 +0 |
2,3 2,2 |
🔒 | 🔒 | 🔒 |
|
23. Oct
20:45
Full-time
Fiorentina
0
Empoli
2
|
1,44 / 4,76 / 7,25 | 🔒 | 🔒 | 1,8 0,7 |
+4 -14 |
3,2 2,2 |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
23. Oct
19:00
Full-time
Odense
1
Midtjylland
2
|
– | 🔒 | 🔒 | 1,3 1,9 |
+4 +16 |
3,0 3,8 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
2 ›
|
|||||||||
|
23. Oct
19:00
Full-time
Varnamo
3
Goteborg
1
|
– | 🔒 | 🔒 | 2,2 2,0 |
+8 +5 |
2,4 2,7 |
🔒 | 🔒 | 🔒 |
|
23. Oct
19:10
Full-time
Elfsborg
3
AIK
0
|
– | 🔒 | 🔒 | 2,1 1,6 |
+8 +2 |
2,4 3,0 |
🔒 | 🔒 | 🔒 |
Poland
Ekstraklasa
1 ›
|
|||||||||
|
23. Oct
19:00
Full-time
Stal Mielec
0
Warta Poznan
1
|
– | 🔒 | 🔒 | 1,3 1,2 |
+1 -1 |
2,9 2,1 |
🔒 | 🔒 | 🔒 |
Turkey
Süper Lig
2 ›
|
|||||||||
|
23. Oct
19:00
Full-time
Karagumruk
2
Ad. Demirspor
0
|
3,29 / 3,77 / 2,02 | 🔒 | 🔒 | 1,2 1,7 |
+3 +7 |
2,1 3,1 |
🔒 | 🔒 | 🔒 |
|
23. Oct
19:00
Full-time
Trabzonspor
1
Alanyaspor
0
|
1,64 / 4,06 / 4,87 | 🔒 | 🔒 | 1,5 1,0 |
+3 -7 |
3,1 2,5 |
🔒 | 🔒 | 🔒 |
Italy
Serie B
1 ›
|
|||||||||
|
23. Oct
20:30
Full-time
Palermo
2
Spezia
2
|
2,11 / 3,34 / 3,39 | 🔒 | 🔒 | 2,0 0,8 |
+9 -5 |
2,5 2,5 |
🔒 | 🔒 | 🔒 |
France
Ligue 2
1 ›
|
|||||||||
|
23. Oct
20:45
Full-time
Laval
0
St Etienne
1
|
2,56 / 3,16 / 2,76 | 🔒 | 🔒 | 2,2 2,1 |
+6 +6 |
1,8 1,6 |
🔒 | 🔒 | 🔒 |
England
Premier League
1 ›
|
|||||||||
|
23. Oct
21:00
Full-time
Tottenham
2
Fulham
0
|
1,51 / 4,70 / 5,99 | 🔒 | 🔒 | 2,4 1,2 |
+12 -7 |
3,0 2,7 |
🔒 | 🔒 | 🔒 |
Spain
La Liga
1 ›
|
|||||||||
|
23. Oct
21:00
Full-time
Valencia
2
Cadiz
0
|
1,77 / 3,57 / 5,03 | 🔒 | 🔒 | 1,4 0,9 |
+1 -6 |
2,3 2,2 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
23. Oct
21:00
Full-time
Alcorcon
1
Cartagena
1
|
2,20 / 3,21 / 3,32 | 🔒 | 🔒 | 1,0 0,6 |
-3 -7 |
2,5 2,3 |
🔒 | 🔒 | 🔒 |
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.