16 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
Europa League
16 ›
|
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|
23. Jan
18:45
Full-time
Hoffenheim
2
Tottenham
3
|
– | 🔒 | 🔒 | 0,6 1,3 |
-11 -1 |
2,7 4,1 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
AZ Alkmaar
1
Roma
0
|
– | 🔒 | 🔒 | 2,2 2,0 |
+8 +15 |
2,4 3,3 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Porto
0
Olympiakos
1
|
– | 🔒 | 🔒 | 1,7 2,6 |
+8 +12 |
2,6 2,0 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Bodo/Glimt
3
Maccabi Tel Aviv
1
|
– | 🔒 | 🔒 | 1,7 1,5 |
+6 +2 |
4,2 3,6 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Malmo FF
2
Twente
3
|
– | 🔒 | 🔒 | 1,2 1,6 |
-1 +0 |
3,7 4,0 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Qarabag
2
FCSB
3
|
– | 🔒 | 🔒 | 0,6 1,8 |
-11 +3 |
3,7 2,5 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Plzen
2
Anderlecht
0
|
– | 🔒 | 🔒 | 2,1 2,2 |
+6 +8 |
2,4 2,4 |
🔒 | 🔒 | 🔒 |
|
23. Jan
18:45
Full-time
Fenerbahce
0
Lyon
0
|
– | 🔒 | 🔒 | 2,0 1,8 |
+8 +6 |
2,8 2,8 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Man United
2
Rangers
1
|
– | 🔒 | 🔒 | 1,1 1,6 |
-6 +7 |
3,4 3,1 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Ein Frankfurt
2
Ferencvarosi TC
0
|
– | 🔒 | 🔒 | 1,6 1,2 |
+5 -1 |
3,3 2,7 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Elfsborg
1
Nice
0
|
– | 🔒 | 🔒 | 1,4 1,4 |
+1 -1 |
2,7 3,3 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Lazio
3
Sociedad
1
|
– | 🔒 | 🔒 | 2,0 1,9 |
+3 +7 |
3,1 2,1 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Ludogorets
0
Midtjylland
2
|
– | 🔒 | 🔒 | 0,9 1,2 |
-7 -3 |
2,9 2,3 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
PAOK
2
Slavia Praha
0
|
– | 🔒 | 🔒 | 1,8 1,0 |
+12 -4 |
2,6 2,0 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
St. Gilloise
2
Sp Braga
1
|
– | 🔒 | 🔒 | 2,3 1,7 |
+4 +1 |
2,8 2,9 |
🔒 | 🔒 | 🔒 |
|
23. Jan
21:00
Full-time
Rīgas FS
1
Ajax
0
|
– | 🔒 | 🔒 | 1,1 1,6 |
+1 +4 |
3,1 2,6 |
🔒 | 🔒 | 🔒 |
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.