Superliga
Our AI model analyzes team form, head-to-head history, and recent performance to generate these predictions.
Based on our advanced statistical model, we predict a score around 1.5 - 1.2. Silkeborg IF are favored to win this match. With a predicted total of 2.8 goals, this match is expected to go over 2.5 goals.
The probability of each team scoring a specific number of goals (0-4+).
The likelihood of the total match goals being above or below specific thresholds.
Performance statistics from the completed match, showing starters and substitutes.
# | Player | Rating | Mins |
---|---|---|---|
2 | A. Poulsen |
90
|
|
3 | R. Østrøm |
90
|
|
4 | Pedro Ganchas |
90
|
|
6 | P. Mattsson |
90
|
|
8 | Jeppe Andersen |
90
|
|
9 | A. Simmelhack |
88
|
|
17 | C. McCowatt |
79
|
|
20 | M. Larsen |
46
|
|
33 | M. Freundlich |
46
|
|
36 | J. Nielsen |
90
|
|
1 | N. Larsen |
90
|
11 | F. Carlsen | - | |
19 | J. Gammelby | - | |
21 | A. Klynge |
11
|
|
23 | T. Adamsen |
44
|
|
26 | M. Øxenberg | - | |
30 | A. Andrésen | - | |
35 | S. Mikkelsen | - | |
41 | O. Boesen |
44
|
|
7 | R. Orazov |
2
|
# | Player | Rating | Mins |
---|---|---|---|
5 | Marc Dal Hende |
90
|
|
7 | Sefer Emini |
90
|
|
8 | Lukas Edvin Björklund |
46
|
|
12 | Maxime Henry Armand Soulas |
90
|
|
15 | Lirim Qamili |
90
|
|
16 | Marcus Bundgaard Sorensen |
90
|
|
22 | Andreas Oggesen |
90
|
|
23 | Chidiebube Gideon Duru |
61
|
|
24 | Olti Hyseni |
46
|
|
26 | Tobias Sommer |
79
|
|
31 | Sidi Mohamed Cherif Haidara |
61
|
1 | Nicolai Flø | - | |
2 | Matti Olsen | - | |
4 | Daníel Leó Grétarsson |
29
|
|
9 | Ivan Cabrel Djantou Tchaboutang |
11
|
|
11 | Alexander Lyng |
44
|
|
17 | Jose Gallegos | - | |
20 | Tobias Klysner |
29
|
|
25 | Mads Agger |
44
|
|
28 | Anders Bergholt Pedersen | - |
1.3 | Expected Goals (xG) | 0.7 |
54% | Possession | 46% |
10 | Shots | 8 |
2 | Shots on Target | 3 |
6 | Corners | 1 |
8 | Fouls | 6 |
1 | Yellow Cards | 1 |
0 | Red Cards | 0 |
2 | Offsides | 1 |