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 1.6 - 1.2. Nordsjælland 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 | P. Ankersen |
90
|
|
3 | T. Salquist |
78
|
|
6 | M. Brink |
87
|
|
7 | S. Egeli |
90
|
|
8 | M. Dorgeles |
90
|
|
10 | B. Nygren |
90
|
|
13 | A. Hansen |
90
|
|
17 | L. Nene |
64
|
|
18 | J. Janssen |
63
|
|
24 | L. Høgsberg |
90
|
|
25 | J. Lähteenmäki |
63
|
4 | K. Hansen | - | |
11 | G. Wikheim |
26
|
|
20 | A. Mohammed | - | |
21 | Z. Sertdemir |
27
|
|
29 | V. Berthelsen |
12
|
|
34 | S. Acquah |
3
|
|
38 | W. Lykke | - | |
40 | H. Boe Rasmussen | - | |
45 | N. Markmann |
27
|
# | Player | Rating | Mins |
---|---|---|---|
24 | Marko Divkovic |
90
|
|
28 | Yuito Suzuki |
90
|
|
31 | Sean Klaiber |
90
|
|
32 | Frederik Alves |
90
|
|
35 | Noah Nartey |
71
|
|
36 | Mathias Kvistgaarden |
78
|
|
1 | Patrick Pentz |
90
|
|
2 | Sebastian Sebulonsen |
90
|
|
4 | Jacob Rasmussen |
90
|
|
7 | Nicolai Vallys |
88
|
|
10 | Daniel Wass |
90
|
11 | Filip Bundgaard | - | |
16 | Thomas Mikkelsen | - | |
17 | Mileta Rajovic |
12
|
|
30 | Jordi Vanlerberghe | - | |
37 | Clement Bischoff | - | |
38 | J. Ambæk | - | |
5 | Rasmus Lauritsen | - | |
6 | Stijn Spierings | - | |
8 | Benjamin Tahirovic |
2
|
2.1 | Expected Goals (xG) | 1.4 |
58% | Possession | 42% |
16 | Shots | 15 |
4 | Shots on Target | 5 |
6 | Corners | 7 |
5 | Fouls | 10 |
0 | Yellow Cards | 2 |
0 | Red Cards | 1 |
0 | Offsides | 1 |