Menu
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT
Prematch
631 match for the next two days
Greece
Netherlands
0
:
0
Start: 21:45
Germany
Serbia
0
:
0
Start: 21:45
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT

AC Milan - Roma 11.04.2024 22:00: score, statistics, forecasts

Finished
0
1
1st half 0:1
2nd half 0:0
11.04.2024 22:00
Europa League
2023/2024 | Europe
Centro Sportivo Novarello - Villaggio Azzurro
Home Team Position: 1 (+1)
Away Team Position: 2 (-1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 3.45 2.85
Avg. corners per match 9.15 8.9
Avg. yellow cards per match 4.59 5.11
Avg. red cards per match 0 0
AC Milan Roma
Match prediction value
We'll calculate your match prediction's statistical value
Calculate
Trend Search
Specify the probability of a hit, and the tool will calculate what the total should be
To search
League & referee
We have detailed statistics not only on events, but also on referees and leagues
Europa League Referee Clément Turpin

LIVE match center

Goals
0% from average (2.3)
0
1
55.56% from average (1.8)
Corner
173.08% from average (5.2)
9
3
83.33% from average (3.6)
Fouls
124.44% from average (11.25)
14
8
61.07% from average (13.1)
87.13% from average (25.25)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
Visit the LIVE Center

Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
AC Milan Roma
Goals per match average
3.45 2.85
Team goals per match average
2.3 1.8
Opponent goals per match average
1.15 1.05
Corners per match average
9.15 8.9
Team corners per match average
5.2 3.6
Opponent corners per match average
3.95 5.3
Yellow cards per match average
4.59 5.11

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
24.9
Home team fouls per match average
11
Away team fouls per match average
13.9
Average yellow cards per match
5.11
Home Team Yellow Cards per Match
2.28
Away team yellow cards per match average
2.89
Red cards per match average
0

Interesting facts about the team AC Milan

General
AC Milan
Opponents

Interesting facts about the team Roma

General
Roma
Opponents

Brief Overview

AC Milan 11.04.2024 will host Roma. This match will be officiated by Clément Turpin. Previously, we have seen these clubs clash in the following leagues: Europa League, Serie A, Coppa Italia, Club Friendlies 1. For 11 seasons the teams have been facing each other.

This is the LIVE match center AC Milan - Roma 11.04.2024

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
0% from average (2.3)
0
1
56% from average (1.8)
Possession
91% from average (58)
53%
47%
88% from average (53.35)
Corner
173% from average (5.2)
9
3
83% from average (3.6)
Yellow cards
154% from average (1.95)
3
1
39% from average (2.55)
108% from average (3.69)
Red cards
0% from average (0.29)
0
0
0% from average (1.5)
0% from average (1.33)
Fouls
124% from average (11.25)
14
8
61% from average (13.1)
87% from average (25.25)
Shots on goal
168% from average (14.9)
25
10
83% from average (12.05)
Shots on target
82% from average (6.1)
5
3
75% from average (4)
Shots Off Target
161% from average (5.6)
9
5
100% from average (5)
Blocked Shots
319% from average (3.45)
11
2
58% from average (3.45)
Shots from the penalty area
127% from average (10.2)
13
8
99% from average (8.05)
Shots from outside the penalty area
255% from average (4.7)
12
2
50% from average (4)
Passes
99% from average (522.6)
519
468
92% from average (506.95)
Successful passes
103% from average (458.1)
474
414
96% from average (432.6)
Passing accuracy
105% from average (87)
91%
88%
104% from average (84.7)
Attacks
113% from average (106.2)
120
65
69% from average (94.55)
Dangerous Attacks
128% from average (44.6)
57
28
71% from average (39.3)
Offsides
0% from average (2)
0
0
0% from average (2.45)
Saves
65% from average (3.1)
2
5
147% from average (3.4)
Substitutions
62% from average (4.85)
3
4
82% from average (4.85)
Goal kicks
0% from average (6.32)
0
0
0% from average (6.88)
Goal Attempts
94% from average (10.6)
10
9
106% from average (8.53)
Free Kicks
- from average (0)
0
0
0% from average (3)
Throw-ins
106% from average (17.05)
18
12
73% from average (16.53)
Ball Safe
85% from average (78.75)
67
94
116% from average (81.1)

Match Progress

The match has begun - the first half is underway
0
:
0
Yellow Card
16’
Stefano Pioli
Goal
17’
Gianluca Mancini
0
:
1
Goal
17’
Gianluca Mancini
0
:
2
Yellow Card
17’
Stefano Pioli
Yellow Card (not on the pitch)
17’
Stefano Pioli
Yellow Card
33’
Christian Pulisic 
Yellow Card
33’
Christian Pulisic 
Yellow Card
38’
Bryan Cristante
Yellow Card
38’
Bryan Cristante
The match has continued - the second half is underway
0
:
2
Substitution
59’
Ismaël Bennacer 
Yacine Adli
Yellow Card
63’
Yacine Adli
Yellow Card
63’
Yacine Adli
Yellow Card
73’
Ruben Loftus-Cheek
Yellow Card
73’
Ruben Loftus-Cheek
Substitution
78’
Rafael Leão
Noah Okafor
Substitution
78’
Christian Pulisic 
Samuel Chukwueze
Substitution
81’
Paulo Dybala 
Tammy Abraham
Substitution
89’
Lorenzo Pellegrini
Houssem Aouar
Substitution
89’
Leandro Paredes
Edoardo Bove
Substitution
90’+2’
Romelu Lukaku  
Diego Llorente
Match finished
0
:
2

Starting lineups

№
Player
16
Mike Maignan
~
~
~
~
16
Mike Maignan
~
~
~
~
2
Davide Calabria
~
~
~
+2
2
Davide Calabria
~
~
~
+2
46
Matteo Gabbia
~
~
~
+2
46
Matteo Gabbia
~
~
~
+2
28
Malick Thiaw
~
~
~
+1
28
Malick Thiaw
~
~
~
+2
19
Theo Hernández
~
~
~
+2
19
Theo Hernández
~
~
~
+2
4
Ismaël Bennacer
~
~
~
+2
4
Ismaël Bennacer
~
~
~
+3
14
Tijjani Reijnders
~
~
~
+3
14
Tijjani Reijnders
~
~
~
+3
11
Christian Pulišić
~
1
~
+2
11
Christian Pulisic
~
1
~
+2
8
Ruben Loftus-Cheek
~
1
~
+2
8
Ruben Loftus-Cheek
~
1
~
+3
10
Rafael Leão
~
~
~
+2
10
Rafael Leão
~
~
~
+2
9
Olivier Giroud
~
~
~
+2
9
Olivier Giroud
~
~
~
+2
№
Player
99
Mile Svilar
~
~
~
~
99
Mile Svilar
~
~
~
~
19
Zeki Çelik
~
~
~
~
19
Zeki Çelik
~
~
~
~
6
Chris Smalling
~
~
~
+2
6
Chris Smalling
~
~
~
+2
23
Gianluca Mancini
~
~
1
+4
23
Gianluca Mancini
~
~
1
+4
37
Leonardo Spinazzola
~
~
~
~
37
Leonardo Spinazzola
~
~
~
+1
4
Bryan Cristante
~
1
~
+2
4
Bryan Cristante
~
1
~
+2
16
Leandro Paredes
~
~
~
+1
16
Leandro Paredes
~
~
~
+1
7
Lorenzo Pellegrini
~
~
~
+2
7
Lorenzo Pellegrini
~
~
~
+2
92
Stephan El Shaarawy
~
~
~
+3
92
Stephan El Shaarawy
~
~
~
+4
90
Romelu Lukaku
~
~
~
+2
90
Romelu Lukaku
~
~
~
+2
21
Paulo Dybala
~
~
~
+3
21
Paulo Dybala
~
~
~
+3

Substitutions

№
Player
95
Davide Bartesaghi
~
~
~
~
15
Luka Jović
~
~
~
~
7
Yacine Adli
~
~
~
+3
21
Samuel Chukwueze
~
~
~
+1
38
Filippo Terracciano
~
~
~
~
17
Noah Okafor
~
~
~
+3
57
Marco Sportiello
~
~
~
~
85
Kevin Zeroli
~
~
~
~
24
Simon Kjær
~
~
~
~
80
Yunus Musah
~
~
~
~
42
Alessandro Florenzi
~
~
~
~
69
Lapo Nava
~
~
~
~
№
Player
59
Nicola Zalewski
~
~
~
~
14
Diego Llorente
~
~
~
+1
67
João Costa
~
~
~
~
69
Angeliño
~
~
~
~
22
Houssem Aouar
~
~
~
~
9
Tammy Abraham
~
~
~
~
52
Edoardo Bove
~
~
~
~
20
Renato Sanches
~
~
~
~
63
Pietro Boer
~
~
~
~
2
Rick Karsdorp
~
~
~
~
1
Rui Patrício
~
~
~
~
35
Tommaso Baldanzi
~
~
~
~

These are detailed team statistics

We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams

These are the referee's detailed match statistics AC Milan - Roma 11.04.2024

We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of UNION STAT. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

Select a market to show match predictions for

Select bookmakers

Match prediction value calculator

Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.

These are detailed statistics of head-to-head meetings AC Milan and Roma before the match 11.04.2024

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match AC Milan - Roma 11.04.2024

This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works