3 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 |
|---|---|---|---|---|---|---|---|---|---|
Germany
2. Bundesliga
1 ›
|
|||||||||
|
7. May
18:30
Full-time
Osnabruck
0
Schalke 04
4
|
3,81 / 3,78 / 1,85 | 🔒 | 🔒 | 1,3 1,4 |
-11 +2 |
2,9 3,2 |
🔒 | 🔒 | 🔒 |
Scotland
Premiership
1 ›
|
|||||||||
|
7. May
20:45
Full-time
Airdrie United
2
Partick
2
|
– | 🔒 | 🔒 | – – |
– – |
– – |
🔒 | 🔒 | 🔒 |
International
Champions League
1 ›
|
|||||||||
|
7. May
21:00
Full-time
Paris SG
0
Dortmund
1
|
– | 🔒 | 🔒 | 1,7 1,9 |
+9 +6 |
3,3 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.