13 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 |
|---|---|---|---|---|---|---|---|---|---|
Greece
Super League
4 ›
|
|||||||||
|
21. May
16:00
Full-time
Atromitos
6
Panserraikos
0
|
1,57 / 3,71 / 5,28 | 🔒 | 🔒 | 1,7 1,2 |
+11 -9 |
3,5 2,7 |
🔒 | 🔒 | 🔒 |
|
21. May
17:00
Full-time
Panetolikos
1
Asteras Tripolis
2
|
2,29 / 3,13 / 2,90 | 🔒 | 🔒 | 1,0 1,9 |
-2 +6 |
2,4 2,2 |
🔒 | 🔒 | 🔒 |
|
21. May
17:00
Full-time
Kifisia
3
Larisa
2
|
2,22 / 3,13 / 2,98 | 🔒 | 🔒 | 1,4 0,7 |
-1 -5 |
1,7 2,9 |
🔒 | 🔒 | 🔒 |
|
21. May
20:15
Full-time
Grasshoppers
2
FC Aarau
1
|
– | 🔒 | 🔒 | 1,3 – |
-7 – |
3,1 – |
🔒 | 🔒 | 🔒 |
Denmark
Superligaen
1 ›
|
|||||||||
|
21. May
18:30
Full-time
Brondby
1
FC Copenhagen
3
|
– | 🔒 | 🔒 | 1,1 2,5 |
-1 +25 |
2,9 4,1 |
🔒 | 🔒 | 🔒 |
Netherlands
Eredivisie
2 ›
|
|||||||||
|
21. May
18:45
Full-time
Ajax
2
Groningen
0
|
1,69 / 3,91 / 4,49 | 🔒 | 🔒 | 1,6 1,7 |
+8 +4 |
2,4 2,8 |
🔒 | 🔒 | 🔒 |
|
21. May
21:00
Full-time
Utrecht
3
Heerenveen
2
|
1,80 / 3,87 / 3,95 | 🔒 | 🔒 | 2,2 1,7 |
+8 +4 |
3,2 3,0 |
🔒 | 🔒 | 🔒 |
Sweden
Allsvenskan
1 ›
|
|||||||||
|
21. May
19:00
Full-time
Elfsborg
1
Mjallby
1
|
– | 🔒 | 🔒 | 1,6 1,7 |
+4 +4 |
2,4 2,6 |
🔒 | 🔒 | 🔒 |
Germany
Bundesliga
1 ›
|
|||||||||
|
21. May
20:30
Full-time
Wolfsburg
0
Paderborn
0
|
– | 🔒 | 🔒 | 1,0 1,6 |
-3 +1 |
2,5 3,5 |
🔒 | 🔒 | 🔒 |
Belgium
Pro League
3 ›
|
|||||||||
|
21. May
20:30
Full-time
Mechelen
2
Club Brugge
2
|
6,57 / 5,00 / 1,37 | 🔒 | 🔒 | 0,9 2,5 |
-11 +19 |
3,3 3,9 |
🔒 | 🔒 | 🔒 |
|
21. May
20:30
Full-time
Gent
0
St. Gilloise
0
|
4,32 / 3,61 / 1,73 | 🔒 | 🔒 | 0,9 2,0 |
-3 +4 |
1,7 2,4 |
🔒 | 🔒 | 🔒 |
|
21. May
20:30
Full-time
Anderlecht
3
St Truiden
1
|
2,14 / 3,61 / 2,92 | 🔒 | 🔒 | 1,1 1,1 |
-5 -1 |
3,7 2,3 |
🔒 | 🔒 | 🔒 |
Scotland
Premiership
1 ›
|
|||||||||
|
21. May
21:00
Full-time
Partick
1
St Mirren
1
|
– | 🔒 | 🔒 | – 1,1 |
– -3 |
– 1,9 |
🔒 | 🔒 | 🔒 |
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.