5 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
Champions League
4 ›
|
|||||||||
|
5. Mar
18:45
Full-time
Feyenoord
0
Inter
2
|
– | 🔒 | 🔒 | 1,2 2,0 |
-5 +9 |
2,3 2,3 |
🔒 | 🔒 | 🔒 |
|
5. Mar
21:00
Full-time
Paris SG
0
Liverpool
1
|
– | 🔒 | 🔒 | 2,7 2,0 |
+29 +10 |
4,3 2,8 |
🔒 | 🔒 | 🔒 |
|
5. Mar
21:00
Full-time
Bayern Munich
3
Leverkusen
0
|
– | 🔒 | 🔒 | 2,6 1,8 |
+17 +6 |
3,3 2,8 |
🔒 | 🔒 | 🔒 |
|
5. Mar
21:00
Full-time
Benfica
0
Barcelona
1
|
– | 🔒 | 🔒 | 2,2 2,6 |
+7 +23 |
2,9 3,9 |
🔒 | 🔒 | 🔒 |
Spain
LaLiga2
1 ›
|
|||||||||
|
5. Mar
20:00
Full-time
Ferrol
0
Burgos
1
|
2,96 / 2,69 / 2,73 | 🔒 | 🔒 | 0,4 1,4 |
-17 -1 |
2,7 1,7 |
🔒 | 🔒 | 🔒 |
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.