15 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 |
|---|---|---|---|---|---|---|---|---|---|
International
Champions League
9 ›
|
|||||||||
|
14. Sep
18:45
Full-time
Milan
3
Dinamo Zagreb
1
|
– | 🔒 | 🔒 | 2,4 – |
+13 – |
2,9 – |
🔒 | 🔒 | 🔒 |
|
14. Sep
18:45
Full-time
Shakhtar Donetsk
1
Celtic
1
|
– | 🔒 | 🔒 | – 2,3 |
– +27 |
– 3,9 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Chelsea
1
Salzburg
1
|
– | 🔒 | 🔒 | 1,5 2,3 |
-1 +18 |
2,5 2,8 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Man City
2
Dortmund
1
|
– | 🔒 | 🔒 | 2,4 2,1 |
+20 +7 |
4,2 2,7 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Rangers
0
Napoli
3
|
– | 🔒 | 🔒 | 1,7 2,6 |
+3 +21 |
3,3 3,1 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
FC Copenhagen
0
Sevilla
0
|
– | 🔒 | 🔒 | 1,4 1,0 |
+0 -7 |
2,6 2,3 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Juventus
1
Benfica
2
|
– | 🔒 | 🔒 | 1,1 3,0 |
+1 +17 |
2,5 2,7 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Real Madrid
2
RB Leipzig
0
|
– | 🔒 | 🔒 | 2,6 1,2 |
+21 +3 |
3,3 3,5 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Maccabi Haifa
1
Paris SG
3
|
– | 🔒 | 🔒 | – 2,8 |
– +29 |
– 4,1 |
🔒 | 🔒 | 🔒 |
England
Championship
6 ›
|
|||||||||
|
14. Sep
20:45
Full-time
Luton
2
Coventry
2
|
2,12 / 3,37 / 3,50 | 🔒 | 🔒 | 1,0 0,4 |
-2 -10 |
2,4 3,0 |
🔒 | 🔒 | 🔒 |
|
14. Sep
20:45
Full-time
Millwall
0
QPR
2
|
2,30 / 3,24 / 3,20 | 🔒 | 🔒 | 1,0 1,5 |
-5 +3 |
2,3 2,7 |
🔒 | 🔒 | 🔒 |
|
14. Sep
20:45
Full-time
Norwich
3
Bristol City
2
|
1,66 / 3,99 / 4,92 | 🔒 | 🔒 | 2,1 2,0 |
+8 +10 |
3,0 3,8 |
🔒 | 🔒 | 🔒 |
|
14. Sep
20:45
Full-time
Rotherham
3
Blackpool
0
|
2,29 / 3,30 / 3,17 | 🔒 | 🔒 | 1,6 1,2 |
+6 -4 |
2,2 2,2 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
Reading
0
Sunderland
3
|
2,63 / 3,25 / 2,72 | 🔒 | 🔒 | 1,5 1,4 |
-6 +3 |
2,6 2,5 |
🔒 | 🔒 | 🔒 |
|
14. Sep
21:00
Full-time
West Brom
2
Birmingham
3
|
1,44 / 4,44 / 7,49 | 🔒 | 🔒 | 1,1 1,2 |
+1 -2 |
2,7 2,2 |
🔒 | 🔒 | 🔒 |
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.