Marten de Roon
(ast. Matias Soule)
20'
Donyell Malen
(ast. Rodrigo Mora)
51'
Donyell Malen
(ast. Matias Soule)
57'
25'
(ast. Yan Diomande)
Kylian Mbappé
83'
Carlos Espí
85'
(ast. Arda Güler)
Endrick Felipe Moreira de Sousa
90'
(ast. Arda Güler)
Antonio Rüdiger
The ForzaPitch pre-match prediction gave AS Roma a 35% win probability (draw 30%, Real Madrid 34%). The final result was AS Roma 3–4 Real Madrid.
Match statistics
14
Total shots
16
7
Shots on target
8
1.51
Actual xG
1.89
4
Saves
4
54%
Possession
46%
5
Corners
9
12
Tackles
15
3
🟨 Yellow cards
1
Match Events
Manu Koné
/ Niccolò Pisilli
17'
⚽Marten de Roon
· ast. Matias Soule
20'
25'
ast. Yan Diomande ·
Kylian Mbappé⚽
Paulo Dybala
/ Rodrigo Mora
45'
⚽Donyell Malen
· ast. Rodrigo Mora
51'
⚽Donyell Malen
· ast. Matias Soule
57'
58'
59'
Endrick Felipe Moreira de Sousa
/
Vinícius
59'
Arda Güler
/
Denzel Dumfries
Gianluca Mancini
60'
Gianluca Mancini
/ Leonardo Balerdi
63'
Matias Soule
/ Lorenzo Pellegrini
63'
Wesley Vinícius França Lima
69'
70'
Bernardo Silva
/
Aurelien Tchouameni
78'
Álvaro Fernández Carreras
/
Marc Cucurella
78'
Carlos Espí
/
Yan Diomande
Mario Hermoso
/ Konstantinos Koulierakis
81'
83'
Carlos Espí⚽
83'
85'
ast. Arda Güler ·
Endrick Felipe Moreira de Sousa⚽
Lorenzo Pellegrini
89'
90'+5
Álvaro Fernández Carreras
90'
ast. Arda Güler ·
Antonio Rüdiger⚽
Pre-match prediction
35.07%
AS
30.7%
X
34.23%
Real ←
we assigned to the actual result (Real Madrid)
34.23%
(low confidence)
Expected vs actual xG
Exp.
Actual
Δ
0.94
1.51
+0.57
0.82
1.89
+1.07
Real Madrid dominated by xG (1.89 vs 1.51).
The final result reflects the playing dominance.
The model's xG estimates diverged from reality.
Lineups
95
P. Gollini
G
P. Gollini
G
22
Hermoso
81'
D
Hermoso
81'
D
5
E. Ndicka
D
E. Ndicka
D
23
G. Mancini
63'
D
G. Mancini
63'
D
20
N. Molina
M
N. Molina
M
17
M. Koné
17'
M
M. Koné
17'
M
15
M. de Roon
1 ⚽
M
M. de Roon
1 ⚽
M
43
Wesley
M
Wesley
M
21
P. Dybala
45'
M
P. Dybala
45'
M
18
M. Soulé
2 👟
63'
M
M. Soulé
2 👟
63'
M
14
D. Malen
2 ⚽
F
D. Malen
2 ⚽
F
Bench
87
D. Ghilardi
D
D. Ghilardi
D
2
D. Rensch
D
D. Rensch
D
32
D. Vásquez
G
D. Vásquez
G
77
E. Lulli
D
E. Lulli
D
70
G. De Marzi
G
G. De Marzi
G
3
K. Koulierakis
9'
D
K. Koulierakis
9'
D
26
L. Balerdi
27'
D
L. Balerdi
27'
D
7
L. Pellegrini
27'
M
L. Pellegrini
27'
M
61
N. Pisilli
73'
M
N. Pisilli
73'
M
86
Rodrigo Mora
1 👟
45'
M
Rodrigo Mora
1 👟
45'
M
9
S. Castro
F
S. Castro
F
1
T. Courtois
G
T. Courtois
G
17
Marc Cucurella
78'
D
Marc Cucurella
78'
D
22
A. Rüdiger
1 ⚽
D
A. Rüdiger
1 ⚽
D
16
I. Konaté
D
I. Konaté
D
24
D. Dumfries
59'
D
D. Dumfries
59'
D
14
A. Tchouaméni
70'
M
A. Tchouaméni
70'
M
8
F. Valverde
M
F. Valverde
M
7
Vinícius Júnior
59'
M
Vinícius Júnior
59'
M
5
J. Bellingham
M
J. Bellingham
M
25
Y. Diomande
1 👟
78'
M
Y. Diomande
1 👟
78'
M
10
Kylian Mbappé
1 ⚽
F
Kylian Mbappé
1 ⚽
F
Bench
15
A. Güler
2 👟
31'
M
A. Güler
2 👟
31'
M
13
A. Lunin
G
A. Lunin
G
18
Álvaro Fernández
12'
D
Álvaro Fernández
12'
D
20
Bernardo Silva
20'
M
Bernardo Silva
20'
M
21
Brahim Díaz
M
Brahim Díaz
M
19
Carlos Espí
1 ⚽
12'
F
Carlos Espí
1 ⚽
12'
F
4
D. Huijsen
D
D. Huijsen
D
6
E. Camavinga
M
E. Camavinga
M
9
Endrick
1 ⚽
31'
F
Endrick
1 ⚽
31'
F
26
Sergio Mestre
G
Sergio Mestre
G
12
T. Alexander-Arnold
D
T. Alexander-Arnold
D
27
Thiago Pitarch
M
Thiago Pitarch
M
Best on the pitch
D. Malen
F · AS
8.85
2 ⚽
4 shots
· 20 pass
M. Soulé
M · AS
8.46
2 👟
3 shots
· 41 pass
Endrick
F · Real
8.20
1 ⚽
2 shots
· 6 pass
Kylian Mbappé
F · Real
8.00
1 ⚽
4 shots
· 27 pass
Carlos Espí
F · Real
7.48
1 ⚽
2 shots
· 5 pass
A. Rüdiger
D · Real
7.20
1 ⚽
1 shots
· 51 pass
AS Roma — Player statistics
| Team | Pos | Min | Rating | ⚽ | 👟 | Shots | Pass | Acc% | Tck | YC | RC |
|---|---|---|---|---|---|---|---|---|---|---|---|
| P. Gollini | G | 90 | 6.57 | — | — | 0 | 29 | 23% | 0 | — | — |
| Hermoso | D | 81 | 6.65 | — | — | 1 | 52 | 47% | 1 | — | — |
| E. Ndicka | D | 90 | 6.22 | — | — | 0 | 42 | 41% | 0 | — | — |
| G. Mancini | D | 63 | 5.22 | — | — | 0 | 32 | 24% | 1 | 1 | — |
| N. Molina | M | 90 | 6.30 | — | — | 0 | 58 | 48% | 2 | — | — |
| M. Koné | M | 17 | 5.97 | — | — | 0 | 17 | 17% | 0 | — | — |
| M. de Roon | M | 90 | 7.11 | 1 | — | 1 | 55 | 45% | 2 | — | — |
| Wesley | M | 90 | 6.25 | — | — | 0 | 61 | 54% | 5 | 1 | — |
| P. Dybala | M | 45 | 5.95 | — | — | 1 | 28 | 24% | 0 | — | — |
| M. Soulé | M | 63 | 8.46 | — | 2 | 3 | 41 | 37% | 0 | — | — |
| D. Malen | F | 90 | 8.85 | 2 | — | 4 | 20 | 17% | 0 | — | — |
| K. Koulierakis | D | 9 | 5.65 | — | — | 0 | 7 | 6% | 0 | — | — |
| L. Balerdi | D | 27 | 5.56 | — | — | 0 | 12 | 8% | 0 | — | — |
| L. Pellegrini | M | 27 | 5.66 | — | — | 1 | 19 | 15% | 0 | 1 | — |
| N. Pisilli | M | 73 | 6.39 | — | — | 1 | 51 | 47% | 1 | — | — |
| Rodrigo Mora | M | 45 | 6.29 | — | 1 | 2 | 22 | 18% | 0 | — | — |
Real Madrid — Player statistics
| Team | Pos | Min | Rating | ⚽ | 👟 | Shots | Pass | Acc% | Tck | YC | RC |
|---|---|---|---|---|---|---|---|---|---|---|---|
| T. Courtois | G | 90 | 6.48 | — | — | 0 | 55 | 41% | 0 | — | — |
| Marc Cucurella | D | 78 | 6.42 | — | — | 1 | 36 | 32% | 4 | — | — |
| A. Rüdiger | D | 90 | 7.20 | 1 | — | 1 | 51 | 47% | 0 | — | — |
| I. Konaté | D | 90 | 6.33 | — | — | 0 | 56 | 51% | 1 | — | — |
| D. Dumfries | D | 59 | 6.04 | — | — | 0 | 19 | 17% | 1 | — | — |
| A. Tchouaméni | M | 70 | 6.00 | — | — | 0 | 39 | 32% | 1 | — | — |
| F. Valverde | M | 90 | 6.21 | — | — | 1 | 31 | 29% | 1 | — | — |
| Vinícius Júnior | M | 59 | 5.83 | — | — | 0 | 15 | 12% | 0 | — | — |
| J. Bellingham | M | 90 | 6.38 | — | — | 3 | 44 | 38% | 1 | — | — |
| Y. Diomande | M | 78 | 7.12 | — | 1 | 2 | 30 | 25% | 2 | — | — |
| Kylian Mbappé | F | 90 | 8.00 | 1 | — | 4 | 27 | 19% | 0 | — | — |
| A. Güler | M | 31 | 7.00 | — | 2 | 0 | 27 | 21% | 0 | — | — |
| Álvaro Fernández | D | 12 | 5.60 | — | — | 0 | 4 | 4% | 1 | 1 | — |
| Bernardo Silva | M | 20 | 5.92 | — | — | 0 | 13 | 12% | 2 | — | — |
| Carlos Espí | F | 12 | 7.48 | 1 | — | 2 | 5 | 3% | 1 | — | — |
| Endrick | F | 31 | 8.20 | 1 | — | 2 | 6 | 2% | 0 | — | — |
Frequently Asked Questions
What was the final score of AS Roma vs Real Madrid?
The final score was AS Roma 3–4 Real Madrid.
What did the model predict before AS Roma vs Real Madrid?
The model assigned 35% probability to a AS Roma win, 30% to a draw, and 34% to an Real Madrid win.