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 ›
|
|||||||||
|
16. Feb
18:45
Full-time
Ajax
0
Union Berlin
0
|
– | 🔒 | 🔒 | 2,0 2,0 |
+13 +0 |
2,3 3,2 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Barcelona
2
Man United
2
|
– | 🔒 | 🔒 | 2,8 2,1 |
+15 +10 |
2,7 3,2 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Shakhtar Donetsk
2
Rennes
1
|
– | 🔒 | 🔒 | – 1,2 |
– -2 |
– 2,8 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Salzburg
1
Roma
0
|
– | 🔒 | 🔒 | 2,0 1,7 |
+5 +5 |
2,3 2,1 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Leverkusen
2
Monaco
3
|
– | 🔒 | 🔒 | 1,9 2,4 |
+9 +14 |
2,9 4,0 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Sp Lisbon
1
Midtjylland
1
|
– | 🔒 | 🔒 | 2,0 1,3 |
+12 +5 |
2,8 2,5 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Juventus
1
Nantes
1
|
– | 🔒 | 🔒 | 2,0 1,7 |
+2 +6 |
2,6 1,4 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Sevilla
3
PSV Eindhoven
0
|
– | 🔒 | 🔒 | 2,1 1,8 |
+11 +8 |
2,7 2,8 |
🔒 | 🔒 | 🔒 |
International
Conference League
8 ›
|
|||||||||
|
16. Feb
18:45
Full-time
Sp Braga
0
Fiorentina
4
|
– | 🔒 | 🔒 | 2,2 1,4 |
+5 +2 |
3,5 2,2 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Bodo/Glimt
0
Lech Poznan
0
|
– | 🔒 | 🔒 | 1,6 1,9 |
+13 +6 |
4,3 2,2 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Qarabag
1
Gent
0
|
– | 🔒 | 🔒 | 1,5 1,6 |
+6 +7 |
2,2 2,9 |
🔒 | 🔒 | 🔒 |
|
16. Feb
18:45
Full-time
Trabzonspor
1
Basel
0
|
– | 🔒 | 🔒 | 1,8 1,1 |
+3 -1 |
2,9 2,3 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Lazio
1
CFR 1907 Cluj
0
|
– | 🔒 | 🔒 | 1,5 1,7 |
+4 +1 |
2,2 1,3 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Ludogorets
1
Anderlecht
0
|
– | 🔒 | 🔒 | 1,4 1,7 |
-1 +3 |
3,1 2,1 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
Sheriff Tiraspol
0
FK Partizan
1
|
– | 🔒 | 🔒 | 0,8 1,7 |
-8 +6 |
1,8 3,2 |
🔒 | 🔒 | 🔒 |
|
16. Feb
21:00
Full-time
AEK Larnaca
1
Dnipro-1
0
|
– | 🔒 | 🔒 | 1,5 – |
+2 – |
2,8 – |
🔒 | 🔒 | 🔒 |
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.