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
Malta
Gibraltar
0
:
0
Start: 21:45
Wales
Norway
0
:
0
Start: 21:45
Denmark
Portugal
0
:
0
Start: 21:45
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT

AC Milan - Bologna 10.12.2017 22:45: score, statistics, forecasts

Finished
2
1
1st half 1:1
2nd half 1:0
10.12.2017 22:45
Serie A
16 | 2017/2018 | Italy
Home Team Position: 8 (+1)
Away Team Position: 9 (-1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 2.55 2.3
Avg. corners per match 9.15 10.53
Avg. yellow cards per match 3.75 5
Avg. red cards per match 0 0
AC Milan Bologna
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
Serie A Referee Marco Guida

LIVE match center

Goals
129.03% from average (1.55)
2
1
80% from average (1.25)
Corner
242.42% from average (4.95)
12
7
175% from average (4)
Fouls
63.16% from average (14.25)
9
8
63.14% from average (12.67)
62.57% from average (27.17)
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 Bologna
Goals per match average
2.55 2.3
Team goals per match average
1.55 1.25
Opponent goals per match average
1.3 1.5
Corners per match average
9.15 10.53
Team corners per match average
4.95 4
Opponent corners per match average
4.2 6.38
Yellow cards per match average
3.75 5

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
25.93
Home team fouls per match average
12.73
Away team fouls per match average
13.2
Average yellow cards per match
5
Home Team Yellow Cards per Match
2.56
Away team yellow cards per match average
2.44
Red cards per match average
0

Interesting facts about the team AC Milan

General
AC Milan
Opponents

Interesting facts about the team Bologna

General
Bologna
Opponents

Brief Overview

AC Milan 10.12.2017 will host Bologna. The referee appointed for this match is Marco Guida. AC Milan and Bologna 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 10 last seasons.

This is the LIVE match center AC Milan - Bologna 10.12.2017

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
129% from average (1.55)
2
1
80% from average (1.25)
Possession
105% from average (55.05)
58%
42%
87% from average (48.38)
Corner
242% from average (4.95)
12
7
175% from average (4)
Yellow cards
0% from average (1.6)
0
0
0% from average (2.94)
0% from average (4.71)
Red cards
0% from average (0.75)
0
0
0% from average (0.6)
0% from average (1)
Fouls
63% from average (14.25)
9
8
63% from average (12.67)
63% from average (27.17)
Shots on goal
136% from average (15.45)
21
10
97% from average (10.31)
Shots on target
132% from average (5.3)
7
2
63% from average (3.19)
Shots Off Target
159% from average (6.3)
10
4
88% from average (4.56)
Blocked Shots
103% from average (3.9)
4
4
147% from average (2.73)
Shots from the penalty area
118% from average (7.6)
9
7
123% from average (5.67)
Shots from outside the penalty area
163% from average (8)
13
3
58% from average (5.13)
Passes
97% from average (519.7)
503
357
82% from average (435.4)
Successful passes
96% from average (438.95)
422
284
81% from average (349.07)
Passing accuracy
100% from average (84.25)
84%
80%
100% from average (79.73)
Attacks
98% from average (119.63)
117
94
84% from average (112.5)
Dangerous Attacks
125% from average (80.26)
100
60
90% from average (66.81)
Offsides
40% from average (2.5)
1
1
47% from average (2.15)
Saves
41% from average (2.42)
1
5
163% from average (3.07)
Substitutions
182% from average (2.74)
5
3
104% from average (2.88)
Goal kicks
- from average (0)
0
0
- from average (0)
Goal Attempts
0% from average (11.21)
0
0
0% from average (8)
Free Kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Ball Safe
0% from average (98.58)
0
0
0% from average (97.6)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
10’
G. Bonaventura
1
:
0
Goal
10’
G. Bonaventura
2
:
0
Goal
23’
S. Verdi
2
:
1
Goal
23’
S. Verdi
2
:
2
The match has continued - the second half is underway
2
:
2
Substitution
59’
I. Abate
P. Cutrone
Substitution
59’
I. Abate
P. Cutrone
Substitution
64’
Á. Nagy
S. Taïder
Substitution
64’
Á. Nagy
S. Taïder
Substitution
68’
N. Kalinić
André Silva
Substitution
68’
N. Kalinić
André Silva
Substitution
72’
R. Palacio
O. Okwonkwo
Substitution
72’
R. Palacio
O. Okwonkwo
Goal
76’
G. Bonaventura
3
:
2
Goal
76’
G. Bonaventura
4
:
2
Substitution
83’
F. Borini
D. Calabria
Substitution
83’
F. Borini
D. Calabria
Substitution
83’
A. Masina
B. Petković
Substitution
83’
A. Masina
B. Petković
Match finished
2
:
1

Starting lineups

№
Player
99
Gianluigi Donnarumma
~
~
~
~
20
Ignazio Abate
~
~
~
~
22
Mateo Musacchio
~
~
~
~
19
Leonardo Bonucci
~
~
~
+2
68
Ricardo Rodríguez
~
~
~
+2
79
Franck Kessié
~
~
~
+4
18
Riccardo Montolivo
~
~
~
+2
5
Giacomo Bonaventura
~
~
2
+3
8
Suso
~
~
~
+3
7
Nikola Kalinić
~
~
~
+1
11
Fabio Borini
~
~
~
+4
№
Player
83
Antonio Mirante
~
~
~
~
35
Vasilīs Torosidīs
~
~
~
+2
3
Giancarlo González
~
~
~
+3
18
Filip Helander
~
~
~
+1
25
Adam Masina
~
~
~
+2
2
Ádám Nagy
~
~
~
~
5
Erick Pulgar
~
~
~
+1
77
Godfred Donsah
~
~
~
+1
9
Simone Verdi
~
~
1
+3
10
Mattia Destro
~
~
~
+2
24
Rodrigo Palacio
~
~
~
~

Substitutions

№
Player
90
Antonio Donnarumma
~
~
~
~
75
Alessandro Guarnone
~
~
~
~
17
Cristián Zapata
~
~
~
~
31
Luca Antonelli
~
~
~
~
29
Gabriel Paletta
~
~
~
~
2
Davide Calabria
~
~
~
~
15
Gustavo Gómez
~
~
~
~
46
Matteo Gabbia
~
~
~
~
45
Niccolò Zanellato
~
~
~
~
73
Manuel Locatelli
~
~
~
~
63
Patrick Cutrone
~
~
~
+2
9
André Silva
~
~
~
~
№
Player
1
Angelo Da Costa
~
~
~
~
34
Federico Ravaglia
~
~
~
~
6
Sebastian De Maio
~
~
~
~
20
Domenico Maietta
~
~
~
~
4
Emil Krafth
~
~
~
~
15
Ibrahima Mbaye
~
~
~
~
8
Saphir Taïder
~
~
~
+3
21
César Falletti
~
~
~
~
12
Lorenzo Crisetig
~
~
~
~
11
Ladislav Krejčí
~
~
~
~
7
Bruno Petković
~
~
~
+1
30
Orji Okwonkwo
~
~
~
~

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 - Bologna 10.12.2017

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 Bologna before the match 10.12.2017

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 - Bologna 10.12.2017

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