4 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 |
|---|---|---|---|---|---|---|---|---|---|
Denmark
Superligaen
1 ›
|
|||||||||
|
16. Apr
19:00
Full-time
Silkeborg
4
Aalborg
0
|
– | 🔒 | 🔒 | 1,6 0,6 |
+7 -14 |
3,1 3,2 |
🔒 | 🔒 | 🔒 |
England
Premier League
1 ›
|
|||||||||
|
16. Apr
20:30
Full-time
Newcastle
5
Crystal Palace
0
|
1,71 / 3,96 / 4,75 | 🔒 | 🔒 | 2,1 1,9 |
+8 +3 |
3,6 3,5 |
🔒 | 🔒 | 🔒 |
International
Champions League
2 ›
|
|||||||||
|
16. Apr
21:00
Full-time
Inter
2
Bayern Munich
2
|
– | 🔒 | 🔒 | 2,4 1,8 |
+10 +8 |
3,2 3,6 |
🔒 | 🔒 | 🔒 |
|
16. Apr
21:00
Full-time
Real Madrid
1
Arsenal
2
|
– | 🔒 | 🔒 | 1,6 2,0 |
-1 +12 |
3,3 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.