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Bologna - Aston Villa 09.04.2026 22:00: score, statistics, forecasts

Completed
1
3
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1 half 0:1
2 half 1:2
09.04.2026 22:00
Europa League
2025/2026 | Europe
Stadio Renato Dall'Ara
Hosts' position: 1 (+1)
Guests' Position: 2 (-1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.6 2.5
Avg. angles per match 9.3 9.75
Avg. yellow cards per match 3.53 4.38
Avg. KK per match 1 0
Bologna Aston Villa
Match prediction value
We'll calculate your match prediction's statistical value
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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 championships
Europa League Referee Sandro Schärer

LIVE match center

Goals
74.07% from average (1.35)
1
3
250% from average (1.2)
Corner
74.07% from average (5.4)
4
3
56.6% from average (5.3)
Fouls
142.86% from average (13.3)
19
15
151.67% from average (9.89)
126.87% from average (26.8)
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

Top loads

+19%
3.2
3.8
Winner Bologna
Office: bet365
+15%
3.27
3.77
Winner Bologna
Office: Pinnacle
+14%
3.28
3.74
Winner Bologna
Office: Marathonbet
+14%
3.3
3.76
Winner Bologna
Office: 1xbet
Office
1
X
2
bet365
3.8
+19%
3.3
~
2.05
-12%
Marathonbet
3.74
+14%
3.3
-1%
2.21
-9%
Pinnacle
3.77
+15%
3.28
-2%
2.16
-8%
1xbet
3.76
+14%
3.32
-1%
2.23
-9%
Loads and Coefficients

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
Bologna Aston Villa
Goals per match average
2.6 2.5
Team goals per match average
1.35 1.2
Opponent goals per match average
1.25 1.3
Corners per match average
9.3 9.75
Team corners per match average
5.4 5.3
Opponent corners per match average
3.9 4.45
Yellow cards per match average
3.53 4.38

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
21.53
Home team fouls per match average
10.11
Away team fouls per match average
11.42
Average yellow cards per match
4.38
Hosts' yellow cards average per match
1.94
Away team yellow cards per match average
2.39
Red cards per match average
0

Interesting facts about the team Bologna

General
Bologna
Opponents

Interesting facts about the team Aston Villa

General
Aston Villa
Opponents

Brief Overview

Bologna will face Aston Villa 09.04.2026 as the home side. The referee appointed for this match is Sandro Schärer. Bologna and Aston Villa do not play each other in cups, only in leagues. It is possible to analyze how the match will go, as the teams have already played each other over 2 last seasons. According to bookmakers, the win will go to Aston Villa — with odds of just 2.16.

This is the LIVE match center Bologna - Aston Villa 09.04.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
74% from average (1.35)
1
3
250% from average (1.2)
Possession
108% from average (53.6)
58%
42%
77% from average (54.4)
Corner
74% from average (5.4)
4
3
57% from average (5.3)
Yellow cards
100% from average (2)
2
1
60% from average (1.68)
61% from average (4.94)
Red cards
0% from average (0.17)
0
0
- from average (0)
0% from average (0.5)
Fouls
143% from average (13.3)
19
15
152% from average (9.89)
127% from average (26.8)
Shots on goal
123% from average (15.4)
19
8
61% from average (13.2)
Shots on target
86% from average (4.65)
4
4
93% from average (4.3)
Blows past
78% from average (6.45)
5
4
80% from average (5)
Blocked Punches
233% from average (4.3)
10
0
0% from average (4.11)
Shots from the penalty area
100% from average (10)
10
3
35% from average (8.53)
Shots from outside the penalty area
167% from average (5.4)
9
5
100% from average (5)
Passes
109% from average (447.9)
489
359
75% from average (478.21)
Successful passes
119% from average (369.3)
439
286
70% from average (409.58)
Passing accuracy
110% from average (81.65)
90%
80%
94% from average (85.05)
Attacks
87% from average (108.75)
95
57
66% from average (86.6)
Dangerous Attacks
103% from average (49.3)
51
18
32% from average (55.5)
Offsides
326% from average (2.15)
7
1
100% from average (1)
Saves
47% from average (2.15)
1
3
90% from average (3.32)
Substitutions
81% from average (4.95)
4
3
60% from average (5)
Goal kicks
125% from average (5.6)
7
6
81% from average (7.37)
Trying to score
92% from average (9.75)
9
8
92% from average (8.74)
Free Kicks
116% from average (13.85)
16
25
170% from average (14.68)
Outs
67% from average (18)
12
9
57% from average (15.84)
Playing Safely with a Ball
82% from average (85.3)
70
61
83% from average (73.4)

xG Metrics

Expected goals ( xG )
0
0
Open Play xG
0
0
Set Play xG
0
0
xG per 90
0
0
Penalty xG
0
0
Headed xG
0
0
Face-off xG
0
0
Missed xG
0
0
Defensive Action xG
0
0
xG Ratio
0
0
Opponent xG
0
0

Match Progress

The match has begun - the first half is underway
0
:
0
Yellow Card
14’
Jhon Lucumí
Автогол
26’
Ezri Konsa
1
:
0
Goal
44’
Ezri Konsa
1
:
1
The match has continued - the second half is underway
1
:
1
Goal
51’
Ollie Watkins
1
:
2
Yellow Card
65’
Tommaso Pobega
Substitution
67’
Lewis Ferguson
Riccardo Orsolini
Substitution
67’
Tommaso Pobega
Nikola Moro
Substitution
80’
Amadou Onana
Lamare Bogarde
Substitution
82’
Santiago Castro
Jens Odgaard
Yellow Card
85’
Morgan Rogers
Substitution
88’
Emiliano Buendía
Leon Bailey
Substitution
88’
Morgan Rogers
Ian Maatsen
Goal
90’
Jonathan Rowe
2
:
2
Substitution
90’
Remo Freuler
Nicolò Cambiaghi
Goal
90’+4’
Ollie Watkins
2
:
3
Match Completed
2
:
3

Starting lineups

Player
13
Federico Ravaglia
~
~
~
~
17
João Mário
~
~
~
+4
14
Torbjørn Heggem
~
~
~
+2
26
Jhon Lucumí
~
1
~
+2
33
Juan Miranda
~
~
~
+3
6
Nikola Moro
~
~
~
~
19
Lewis Ferguson
~
~
~
+3
8
Remo Freuler
~
~
~
+1
4
Tommaso Pobega
~
1
~
+3
10
Federico Bernardeschi
~
~
~
+3
9
Santiago Castro
~
~
~
+4
11
Jonathan Rowe
~
~
1
+4
Player
23
Emiliano Martínez
~
~
~
+1
2
Matty Cash
~
~
~
+2
4
Ezri Konsa
~
~
1
+3
14
Pau Torres
~
~
~
+1
12
Lucas Digne
~
~
~
+2
24
Amadou Onana
~
~
~
+2
8
Youri Tielemans
~
~
~
+2
7
John McGinn
~
~
~
+2
27
Morgan Rogers
~
1
~
+4
10
Emiliano Buendía
~
~
~
+3
11
Ollie Watkins
~
~
2
+5

Substitutions

Player
25
Massimo Pessina
~
~
~
~
82
Matteo Franceschelli
~
~
~
~
20
Nadir Zortea
~
~
~
~
16
Nicolò Casale
~
~
~
~
21
Jens Odgaard
~
~
~
~
6
Nikola Moro
~
~
~
~
23
Simon Sohm
~
~
~
~
73
Francesco Castaldo
~
~
~
~
28
Nicolò Cambiaghi
~
~
~
+1
7
Riccardo Orsolini
~
~
~
+2
Player
40
Marco Bizot
~
~
~
~
16
Andrés García
~
~
~
~
22
Ian Maatsen
~
~
~
~
26
Lamare Bogarde
~
~
~
~
5
Tyrone Mings
~
~
~
~
3
Victor Lindelöf
~
~
~
~
21
Douglas Luiz
~
~
~
~
9
Harvey Elliott
~
~
~
~
31
Leon Bailey
~
~
~
~
18
Tammy Abraham
~
~
~
~
64
James Wright
~
~
~
~

These are the odds for the match Bologna - Aston Villa 09.04.2026

Find the best odds and evaluate the dynamics of betting loads. We offer pre-match odds. We show the top betting loads first, and then coefficients

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 Bologna - Aston Villa 09.04.2026

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 4SCORE. 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 Bologna and Aston Villa before the match 09.04.2026

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 Bologna - Aston Villa 09.04.2026

This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works