Superliga
· Final
May 21, 2026 18:30
✓Model correct — prediction FC Copenhagen
M. Frokjaer-Jensen
80'
77'
(ast. J. Larsson)
Buta
103'
(ast. B. Meling)
Y. Moukoko
120'+3
(ast. E. Achouri)
Y. Moukoko
The ForzaPitch pre-match prediction gave FC Copenhagen a 59% win probability (draw 19%, Brondby 21%). The final result was Brondby 1–3 FC Copenhagen. In 2 previous meetings, Brondby have won 1 times, with 0 draws and 1 wins for FC Copenhagen.
Match statistics
7
Total shots
15
3
Shots on target
8
1.02
Actual xG
1.59
5
Saves
2
31%
Possession
69%
8
Corners
9
19
Tackles
22
1
🟨 Yellow cards
9
1
🟥 Red cards
0
Match Events
37'
E. Achouri
/
V. Dadason
41'
V. Claesson
55'
M. Lopez
56'
Zanka
S. Cooper
57'
N. Vallys
/ S. Fukuda
61'
M. Lahdo
67'
J. Ambaek
/ F. Bundgaard
71'
D. Wass
/ R. Canut
72'
74'
Y. Moukoko
/
V. Claesson
74'
B. Meling
/
M. Lopez
77'
ast. J. Larsson ·
Buta⚽
⚽M. Frokjaer-Jensen
80'
86'
W. Clem
/
T. Delaney
90'+1
M. Elyounoussi
M. Frokjaer-Jensen
/ J. Vanlerberghe
96'
100'
J. Larsson
103'
ast. B. Meling ·
Y. Moukoko⚽
O. Villadsen
/ O. Sow
106'
B. Slisz
110'
113'
118'
Buta
119'
Gabriel Pereira
/
Buta
120'+3
ast. E. Achouri ·
Y. Moukoko⚽
120'+4
Y. Moukoko
120'+4
Gabriel Pereira
120'
D. Kotarski
Pre-match prediction
21.61%
Brondby
19.03%
X
59.37%
FC ←
✓ Correct prediction —
we assigned to the actual result (FC Copenhagen)
59.37%
(medium confidence)
Expected vs actual xG
Exp.
Actual
Δ
1.22
1.02
-0.2
2.48
1.59
-0.89
FC Copenhagen dominated by xG (1.59 vs 1.02).
The final result reflects the playing dominance.
The model's xG estimates diverged from reality.
Lineups
1
Patrick Pentz
G
Patrick Pentz
G
24
Marko Divković
D
Marko Divković
D
4
L. Binks
D
L. Binks
D
14
Ben Godfrey
D
Ben Godfrey
D
2
Oliver Villadsen
D
Oliver Villadsen
D
10
Daniel Wass
72'
M
Daniel Wass
72'
M
99
Bartosz Slisz
M
7
N. Vallys
61'
M
N. Vallys
61'
M
29
Mads Frøkjær
1 ⚽
M
Mads Frøkjær
1 ⚽
M
23
Mayckel Lahdo
67'
M
Mayckel Lahdo
67'
M
38
J. Ambæk
71'
F
J. Ambæk
71'
F
Bench
11
Filip Bundgaard
49'
F
Filip Bundgaard
49'
F
13
Gavin Beavers
G
Gavin Beavers
G
30
Jordi Vanlerberghe
24'
D
Jordi Vanlerberghe
24'
D
42
Mathias Jensen
M
Mathias Jensen
M
22
Ousmane Sow
15'
M
Ousmane Sow
15'
M
37
Raphael Canut
48'
D
Raphael Canut
48'
D
5
Rasmus Lauritsen
D
Rasmus Lauritsen
D
19
Sho Fukuda
59'
F
Sho Fukuda
59'
F
36
Viggo Poulsen
M
Viggo Poulsen
M
1
Dominik Kotarski
G
Dominik Kotarski
G
15
M. López
74'
D
M. López
74'
D
25
Zanka
D
Zanka
D
20
Junnosuke Suzuki
D
Junnosuke Suzuki
D
17
Aurélio Buta
1 ⚽
D
Aurélio Buta
1 ⚽
D
27
Thomas Delaney
86'
M
Thomas Delaney
86'
M
21
Mads Emil Madsen
M
Mads Emil Madsen
M
10
M. Elyounoussi
M
M. Elyounoussi
M
7
Viktor Claesson
74'
M
Viktor Claesson
74'
M
11
J. Larsson
1 👟
M
J. Larsson
1 👟
M
39
Viktor Bjarki Dadason
37'
F
Viktor Bjarki Dadason
37'
F
Bench
24
Birger Meling
1 👟
46'
D
Birger Meling
1 👟
46'
D
30
Elias Achouri
1 👟
83'
M
Elias Achouri
1 👟
83'
M
5
Gabriel Pereira
1'
D
Gabriel Pereira
1'
D
44
Geovanni Vianney
F
Geovanni Vianney
F
42
Graham Ankamafio
D
Graham Ankamafio
D
38
Oliver Højer
M
Oliver Højer
M
31
Rúnar Alex Rúnarsson
G
Rúnar Alex Rúnarsson
G
36
William Clem
34'
M
William Clem
34'
M
9
Y. Moukoko
2 ⚽
46'
F
Y. Moukoko
2 ⚽
46'
F
Best on the pitch
Y. Moukoko
F · FC
8.20
2 ⚽
5 shots
· 15 pass
Aurélio Buta
D · FC
7.90
1 ⚽
1 shots
· 49 pass
Mads Frøkjær
M · Brondby
7.90
1 ⚽
1 shots
· 21 pass
Birger Meling
D · FC
7.50
1 👟
· 43 pass
Patrick Pentz
G · Brondby
7.30
· 43 pass
M. Elyounoussi
M · FC
7.30
2 shots
· 51 pass
Brondby — Player statistics
| Team | Pos | Min | Rating | ⚽ | 👟 | Shots | Pass | Acc% | Tck | YC | RC |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Patrick Pentz | G | 120 | 7.30 | — | — | — | 43 | 20% | — | — | — |
| Marko Divković | D | 120 | 5.90 | — | — | — | 22 | 18% | 2 | — | — |
| L. Binks | D | 120 | 5.90 | — | — | — | 43 | 24% | 2 | — | — |
| Ben Godfrey | D | 120 | 6.60 | — | — | — | 36 | 27% | 2 | — | — |
| Oliver Villadsen | D | 105 | 6.20 | — | — | — | 16 | 12% | 2 | — | — |
| Daniel Wass | M | 72 | 6.90 | — | — | 2 | 17 | 14% | 2 | — | — |
| Bartosz Slisz | M | 120 | 6.90 | — | — | — | 29 | 21% | 3 | 1 | — |
| N. Vallys | M | 61 | 6.30 | — | — | — | 11 | 6% | — | — | — |
| Mads Frøkjær | M | 96 | 7.90 | 1 | — | 1 | 21 | 13% | — | — | — |
| Mayckel Lahdo | M | 67 | 5.90 | — | — | 2 | 9 | 7% | 1 | — | 1 |
| J. Ambæk | F | 71 | 6.30 | — | — | 1 | 7 | 5% | 1 | — | — |
| Filip Bundgaard | F | 49 | 6.50 | — | — | — | 4 | 3% | — | — | — |
| Jordi Vanlerberghe | D | 24 | 5.90 | — | — | — | 3 | 3% | — | — | — |
| Ousmane Sow | M | 15 | 6.30 | — | — | — | 1 | 1% | — | — | — |
| Raphael Canut | D | 48 | 5.90 | — | — | — | 9 | 5% | 2 | — | — |
| Sho Fukuda | F | 59 | 6.70 | — | — | 1 | 15 | 12% | 2 | — | — |
FC Copenhagen — Player statistics
| Team | Pos | Min | Rating | ⚽ | 👟 | Shots | Pass | Acc% | Tck | YC | RC |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dominik Kotarski | G | 120 | 6.70 | — | — | — | 52 | 38% | — | 1 | — |
| M. López | D | 74 | 6.60 | — | — | — | 34 | 26% | 1 | 1 | — |
| Zanka | D | 120 | 7.20 | — | — | — | 88 | 81% | 1 | 1 | — |
| Junnosuke Suzuki | D | 120 | 7.00 | — | — | — | 81 | 75% | 2 | — | — |
| Aurélio Buta | D | 119 | 7.90 | 1 | — | 1 | 49 | 42% | 4 | 1 | — |
| Thomas Delaney | M | 86 | 7.30 | — | — | 1 | 38 | 27% | 1 | — | — |
| Mads Emil Madsen | M | 120 | 6.90 | — | — | — | 52 | 43% | 2 | — | — |
| M. Elyounoussi | M | 120 | 7.30 | — | — | 2 | 51 | 42% | 1 | 1 | — |
| Viktor Claesson | M | 74 | 5.50 | — | — | 1 | 15 | 8% | — | 1 | — |
| J. Larsson | M | 120 | 7.20 | — | 1 | 1 | 57 | 45% | — | 1 | — |
| Viktor Bjarki Dadason | F | 37 | 6.50 | — | — | — | 4 | 3% | — | — | — |
| Birger Meling | D | 46 | 7.50 | — | 1 | — | 43 | 39% | 4 | — | — |
| Elias Achouri | M | 83 | 6.90 | — | 1 | 1 | 42 | 37% | 3 | — | — |
| Gabriel Pereira | D | 1 | — | — | — | — | — | — | — | 1 | — |
| William Clem | M | 34 | 7.00 | — | — | 3 | 42 | 34% | 1 | — | — |
| Y. Moukoko | F | 46 | 8.20 | 2 | — | 5 | 15 | 11% | 2 | 1 | — |
Frequently Asked Questions
What was the final score of Brondby vs FC Copenhagen?
The final score was Brondby 1–3 FC Copenhagen.
What did the model predict before Brondby vs FC Copenhagen?
The model assigned 21% probability to a Brondby win, 19% to a draw, and 59% to an FC Copenhagen win.