16 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 |
|---|---|---|---|---|---|---|---|---|---|
International
Europa League
8 ›
|
|||||||||
|
6. Mar
18:45
Full-time
AZ Alkmaar
1
Tottenham
0
|
– | 🔒 | 🔒 | 2,0 1,5 |
+8 +2 |
3,4 2,8 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
Sociedad
1
Man United
1
|
– | 🔒 | 🔒 | 1,6 1,8 |
+1 +3 |
3,1 2,5 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
FCSB
1
Lyon
3
|
– | 🔒 | 🔒 | 1,7 1,6 |
-1 +8 |
2,3 3,0 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
Fenerbahce
1
Rangers
3
|
– | 🔒 | 🔒 | 2,1 2,1 |
+10 +12 |
3,4 3,6 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Ajax
1
Ein Frankfurt
2
|
– | 🔒 | 🔒 | 2,1 1,5 |
+10 -2 |
2,4 3,0 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Bodo/Glimt
3
Olympiakos
0
|
– | 🔒 | 🔒 | 2,0 2,3 |
+12 +9 |
4,0 2,3 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Roma
2
Ath Bilbao
1
|
– | 🔒 | 🔒 | 2,3 1,5 |
+9 +7 |
2,7 3,3 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Plzen
1
Lazio
2
|
– | 🔒 | 🔒 | 1,4 1,7 |
+2 +5 |
2,6 2,9 |
🔒 | 🔒 | 🔒 |
International
Conference League
8 ›
|
|||||||||
|
6. Mar
18:45
Full-time
Molde
3
Legia
2
|
– | 🔒 | 🔒 | 1,5 1,3 |
+1 +2 |
2,7 3,2 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
FC Copenhagen
1
Chelsea
2
|
– | 🔒 | 🔒 | 1,9 1,6 |
+4 +6 |
2,4 3,6 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
Betis
2
Guimaraes
2
|
– | 🔒 | 🔒 | 1,7 1,2 |
+5 +1 |
3,1 2,5 |
🔒 | 🔒 | 🔒 |
|
6. Mar
18:45
Full-time
Panathinaikos
3
Fiorentina
2
|
– | 🔒 | 🔒 | 1,6 1,3 |
+0 +0 |
3,0 2,6 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Jagiellonia
3
Cercle Brugge
0
|
– | 🔒 | 🔒 | 2,0 1,4 |
+13 -1 |
3,1 1,7 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Borac Banja Luka
1
SK Rapid
1
|
– | 🔒 | 🔒 | 1,4 0,9 |
-2 +1 |
1,6 3,1 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Pafos
1
Djurgarden
0
|
– | 🔒 | 🔒 | 2,0 1,9 |
+9 +6 |
2,7 3,0 |
🔒 | 🔒 | 🔒 |
|
6. Mar
21:00
Full-time
Celje
1
Lugano
0
|
– | 🔒 | 🔒 | 1,7 1,2 |
+6 -2 |
3,8 3,0 |
🔒 | 🔒 | 🔒 |
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.