Spain · 20 matches in the next 30 days
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Saturday 26. September
5
|
|||||||||
|
26. Sep
18:00
Lebrijana
Ceuta 6 de Junio
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
26. Sep
18:00
Anaitasuna
Tedeón
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
26. Sep
18:00
Atletico Calatayud
Baztán
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
26. Sep
19:00
Ribadesella CF
Noja
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
26. Sep
20:00
Pinatar
Atlético Melilla
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
Sunday 27. September
5
|
|||||||||
|
27. Sep
12:00
Auriense
CD San Jose
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
27. Sep
12:00
Hortaleza
Güímar
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
27. Sep
16:00
San Rafael
Prat
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
27. Sep
17:30
Talayuela
Alcazar
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
27. Sep
18:00
Maracena
Tavernes
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
Saturday 3. October
3
|
|||||||||
|
3. Oct
17:30
Baztán
Atletico Calatayud
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
3. Oct
18:00
Tedeón
Anaitasuna
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
3. Oct
18:00
Ceuta 6 de Junio
Lebrijana
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
Sunday 4. October
7
|
|||||||||
|
4. Oct
12:00
Atlético Melilla
Pinatar
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
13:00
Güímar
Hortaleza
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
16:00
CD San Jose
Auriense
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
16:00
Prat
San Rafael
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
16:00
Noja
Ribadesella CF
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
17:30
Alcazar
Talayuela
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
|
4. Oct
18:00
Tavernes
Maracena
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
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.