AC Milan 1 - 3 Borussia Dortmund July 18, 2017 - results, score, forecast, International Champions Cup

Meeting Statistics

We have detailed tables with filters where you can track average values

Team H A

Avg. goals per match 2.35 3.7

Avg. corners per match 13.5 8.67

Avg. yellow cards per match 5.83 4.59

Avg. red cards per match 0 0

Team statistics Head-to-head

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

International Champions Cup

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 Borussia Dortmund

Goals per match average

2.35 3.7

Team goals per match average

1.55 2.3

Opponent goals per match average

1.15 1.55

Corners per match average

13.5 8.67

Team corners per match average

7.56 5.17

Opponent corners per match average

5.94 3.5

Yellow cards per match average

5.83 4.59

Interesting facts about the team AC Milan

General

AC Milan

Opponents

In 10 matches consecutively, at least 2 goals are filled in total

In 20 matches consecutively, no more than 5 goals are filled in total

In 6 matches consecutive yellow cards the total number of yellow cards does not rise above 6

20 matches in a row, not a single red card has been issued to either the team or their opponents

Judging by the last matches, AC Milan" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable

In 17 matches in a row "AC Milan" scores at least 1 goal

In 20 matches in a row "AC Milan" scores no more than 4 goals

In 11 matches in a row "AC Milan" receives no more than 4 yellow cards

20 matches in a row "AC Milan" doesn't receive a single red card

In 20 matches consecutive games, opponents score no more than 4 goals

In 6 matches consecutive team opponents "AC Milan" receive no more than 3 yellow cards

20 matches matches in a row, the team's opponents have not received a single red card

Interesting facts about the team Borussia Dortmund

General

Borussia Dortmund

Opponents

In 6 matches consecutively, at least 2 goals are filled in total

In 19 matches consecutively, no more than 7 goals are filled in total

In 20 matches consecutive yellow cards the total number of yellow cards does not rise above 7

20 matches in a row, not a single red card has been issued to either the team or their opponents

Judging by the last matches, Borussia Dortmund" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable

In 6 matches in a row "Borussia Dortmund" scores at least 1 goal

In 19 matches in a row "Borussia Dortmund" scores no more than 4 goals

In 20 matches in a row "Borussia Dortmund" receives no more than 4 yellow cards

20 matches in a row "Borussia Dortmund" doesn't receive a single red card

In 6 matches consecutive games, opponents score at least 1 goal

In 12 matches consecutive games, opponents score no more than 3 goals

In 11 matches consecutive team opponents "Borussia Dortmund" receive no more than 4 yellow cards

20 matches matches in a row, the team's opponents have not received a single red card

Brief Overview

18.07.2017 AC Milan visits Borussia Dortmund. We don't know yet who will be the referee. The clubs' head-to-head meetings have so far only been seen within one league. AC Milan and Borussia Dortmund have so far played together in only one season, so there is not much data to analyze the match.

This is the LIVE match center AC Milan - Borussia Dortmund 18.07.2017

Detailed match statistics, match events, and team lineups

Match Progress

The match has begun - the first half is underway

0

:

0

Goal

16’

N. Şahin

0

:

1

Penalty

20’

P. Aubameyang

0

:

2

Goal

24’

C. Bacca

1

:

2

Yellow Card

26’

C. Bacca

The match has continued - the second half is underway

1

:

2

Substitution

46’

Ł. Piszczek

F. Passlack

Substitution

46’

R. Weidenfeller

D. Reimann

Substitution

46’

M. Niang

H. Çalhanoğlu

Substitution

46’

G. Paletta

M. Musacchio

Yellow Card

60’

S. Papastathopoulos

Goal

62’

P. Aubameyang

1

:

3

Substitution

63’

S. Rode

M. Götze

Substitution

63’

D. Zagadou

E. Durm

Substitution

63’

O. Dembélé

E. Mor

Substitution

63’

G. Bonaventura

J. Sosa

Substitution

63’

R. Rodríguez

L. Antonelli

Substitution

63’

I. Abate

G. Gómez

Substitution

63’

C. Bacca

P. Cutrone

Substitution

73’

P. Aubameyang

A. Schürrle

Substitution

73’

Bartra

N. Subotić

Substitution

74’

C. Pulisic

A. Isak

Substitution

90’+1’

F. Borini

G. Crociata

Match finished

1

:

3

Starting lineups

№

Player

№

Player

Substitutions

№

Player

30

M. Storari

~

29

G. Paletta

~

17

C. Zapata

~

20

I. Abate

~

68

R. Rodríguez

~

5

G. Bonaventura

~

4

J. Mauri

~

19

F. Kessié

~

70

C. Bacca

~

11

F. Borini

~

7

M. Niang

~

10

H. Çalhanoğlu

~

22

M. Musacchio

~

15

G. Gómez

~

23

J. Sosa

~

31

L. Antonelli

~

63

P. Cutrone

~

42

G. Crociata

~

45

N. Zanellato

~

46

M. Gabbia

~

90

A. Donnarumma

~

99

G. Donnarumma

~

№

Player

1

R. Weidenfeller

~

26

Ł. Piszczek

~

25

S. Papastathopoulos

~

5

Bartra

~

2

D. Zagadou

~

8

N. Şahin

~

18

S. Rode

~

27

G. Castro

~

7

O. Dembélé

~

22

C. Pulisic

~

17

P. Aubameyang

~

30

F. Passlack

~

35

D. Reimann

~

9

E. Mor

~

10

M. Götze

~

37

E. Durm

~

4

N. Subotić

~

21

A. Schürrle

~

14

A. Isak

~

23

S. Kagawa

~

29

M. Schmelzer

~

38

R. Bürki

~

40

E. Bansen

~

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 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!

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 Borussia Dortmund before the match 18.07.2017

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 - Borussia Dortmund 18.07.2017

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

AC Milan - Borussia Dortmund 18.07.2017 14:20: score, statistics, forecasts

Team metrics

Interesting facts about the team AC Milan

Interesting facts about the team Borussia Dortmund

Brief Overview

This is the LIVE match center AC Milan - Borussia Dortmund 18.07.2017

Match Progress

Starting lineups

Substitutions

These are detailed team statistics

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

Select a market to show match predictions for

Match prediction value calculator

These are detailed statistics of head-to-head meetings AC Milan and Borussia Dortmund before the match 18.07.2017

This tool will help you find the right trend for a match AC Milan - Borussia Dortmund 18.07.2017