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 |
|---|---|---|---|---|---|---|---|---|---|
Switzerland
Super League
2 ›
|
|||||||||
|
3. Apr
20:30
Full-time
Basel
2
Grasshoppers
1
|
– | 🔒 | 🔒 | 1,8 0,8 |
+5 -4 |
2,5 2,8 |
🔒 | 🔒 | 🔒 |
|
3. Apr
20:30
Full-time
Luzern
1
St. Gallen
1
|
– | 🔒 | 🔒 | 1,5 1,1 |
+3 -6 |
3,3 2,6 |
🔒 | 🔒 | 🔒 |
England
Premier League
1 ›
|
|||||||||
|
3. Apr
21:00
Full-time
Chelsea
1
Tottenham
0
|
1,64 / 4,50 / 4,57 | 🔒 | 🔒 | 1,8 1,0 |
+3 -4 |
2,3 2,6 |
🔒 | 🔒 | 🔒 |
Portugal
Taça de Portugal
1 ›
|
|||||||||
|
3. Apr
21:15
Full-time
Sp Lisbon
2
Rio Ave
0
|
– | 🔒 | 🔒 | 2,1 0,9 |
+9 -4 |
2,9 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.