Match Finder
12 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 |
|---|---|---|---|---|---|---|---|---|---|
Poland
Ekstraklasa
2 ›
|
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|
29. Jul
18:00
Full-time
Piast Gliwice
0
Zaglebie
1
|
– | 🔒 | 🔒 | 1,7 1,4 |
+1 +3 |
2,3 2,9 |
🔒 | 🔒 | 🔒 |
|
29. Jul
20:30
Full-time
Cracovia
3
Legia
0
|
– | 🔒 | 🔒 | 2,0 1,2 |
+8 +0 |
1,8 3,2 |
🔒 | 🔒 | 🔒 |
Germany
DFB-Pokal
4 ›
|
|||||||||
|
29. Jul
18:00
Full-time
Dresden
0
Stuttgart
1
|
– | – | – | 0,6 1,4 |
-4 -1 |
2,2 2,3 |
🔒 | 🔒 | – |
|
29. Jul
18:00
Full-time
Kaan-Marienborn
0
Nurnberg
2
|
– | – | – | – 1,1 |
– -3 |
– 3,3 |
🔒 | 🔒 | – |
|
29. Jul
18:00
Full-time
Neustrelitz
0
Karlsruhe
8
|
– | – | – | – 0,7 |
– -5 |
– 4,1 |
🔒 | 🔒 | – |
|
29. Jul
20:45
Full-time
TSV 1860 Munich
0
Dortmund
3
|
– | – | – | – 1,9 |
– +8 |
– 3,8 |
🔒 | 🔒 | – |
Denmark
Superligaen
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
Odense
1
Midtjylland
5
|
– | 🔒 | 🔒 | 1,1 1,7 |
-5 +7 |
2,7 3,3 |
🔒 | 🔒 | 🔒 |
Denmark
DBU Pokalen
1 ›
|
|||||||||
|
29. Jul
19:00
Full-time
B 93
1
Roskilde
3
|
– | – | – | – – |
– – |
– – |
🔒 | 🔒 | – |
Belgium
Belgisk cup
2 ›
|
|||||||||
|
29. Jul
20:00
Full-time
Bastogne
0
RES Durbuy
2
|
– | – | – | – – |
– – |
– – |
🔒 | 🔒 | – |
|
29. Jul
20:00
Full-time
RUS Assenois
0
Longlier
1
|
– | – | – | – – |
– – |
– – |
🔒 | 🔒 | – |
Belgium
Pro League
1 ›
|
|||||||||
|
29. Jul
20:45
Full-time
St. Gilloise
1
Charleroi
0
|
1,68 / 3,87 / 4,88 | 🔒 | 🔒 | 1,7 1,3 |
+8 -2 |
2,2 3,4 |
🔒 | 🔒 | 🔒 |
England
Championship
1 ›
|
|||||||||
|
29. Jul
21:00
Full-time
Huddersfield
0
Burnley
1
|
2,95 / 3,20 / 2,50 | 🔒 | 🔒 | 2,0 1,4 |
+6 -1 |
2,0 2,1 |
🔒 | 🔒 | 🔒 |
Leagues
General
Stats window
Number of recent matches behind the PPG, goal diff, goals/game and xG columns.
Model filters Pro
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Favourite chance (model)
0%
Min. expected goals
0
Max expected goals
6
Min. both teams to score
0%
Min. value edge
0%
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.