Minnesota United - New York City 30.09.2018 03:00: score, statistics, forecasts
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Meeting Statistics
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Team
Owners
Guests
Avg. goals per match
3.25
2.65
Avg. corners per match
10.32
11.1
Avg. yellow cards per match
4
3.5
Avg. red cards per match
0
0
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League & referee
We have detailed statistics not only on events, but also on referees and leagues
Major League Soccer
Referee José Carlos Rivero
LIVE match center
Goals
142.86% from average (1.4)
2
1
68.97% from average (1.45)
Corner
20.88% from average (4.79)
1
2
32% from average (6.25)
Fouls
175.88% from average (11.94)
21
11
87.09% from average (12.63)
128.77% from average (24.85)
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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
Minnesota United
New York City
Goals per match average
3.25
2.65
Team goals per match average
1.4
1.45
Opponent goals per match average
1.9
1.35
Corners per match average
10.32
11.1
Team corners per match average
4.79
6.25
Opponent corners per match average
5.53
4.85
Yellow cards per match average
4
3.5
Referee stats
Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
22.42
Home team fouls per match average
11.79
Away team fouls per match average
10.63
Average yellow cards per match
3.5
Hosts' yellow cards average per match
1.88
Away team yellow cards per match average
2.13
Red cards per match average
0
Interesting facts about the team Minnesota United
General
Minnesota United
Opponents
In 14 matches consecutively, at least 2 goals are filled in total
In 7 matches consecutively, no more than 5 goals are filled in total
In 8 matches consecutive yellow cards the total number of yellow cards does not fall below 2
In 5 matches consecutive yellow cards the total number of yellow cards does not rise above 4
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, Minnesota United" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 8 matches in a row "Minnesota United" scores no more than 3 goals
In 8 matches in a row "Minnesota United" receives at least 1 yellow card
In 5 matches in a row "Minnesota United" receives no more than 2 yellow cards
20 matches in a row "Minnesota United" doesn't receive a single red card
In 17 matches consecutive games, opponents score at least 1 goal
In 7 matches consecutive games, opponents score no more than 2 goals
In 9 matches consecutive team opponents "Minnesota United" receive no more than 2 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Interesting facts about the team New York City
General
New York City
Opponents
In 20 matches consecutively, at least 1 goals are filled in total
In 7 matches consecutively, no more than 3 goals are filled in total
In 9 matches consecutive yellow cards the total number of yellow cards does not fall below 1
In 5 matches consecutive yellow cards the total number of yellow cards does not rise above 5
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, New York City" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 7 matches in a row "New York City" scores no more than 2 goals
In 9 matches in a row "New York City" receives at least 1 yellow card
In 20 matches in a row "New York City" receives no more than 4 yellow cards
20 matches in a row "New York City" doesn't receive a single red card
In 9 matches consecutive games, opponents score no more than 2 goals
In 5 matches consecutive team opponents "New York City" receive no more than 3 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Brief Overview
Minnesota United 30.09.2018 will host New York City. The referee will be José Carlos Rivero. Previously, we have seen these clubs clash in the following leagues: Major League Soccer, Club Friendlies 1, Club Friendlies 3. The teams have already clashed several times in the 2017, 2019, 2022, 2023, 2025.
This is the LIVE match center Minnesota United - New York City 30.09.2018
Detailed match statistics, match events, and team lineups
Match Statistics
Goals
143% from average (1.4)
2
1
69% from average (1.45)
Possession
72% from average (44.28)
32%
68%
118% from average (57.85)
Corner
21% from average (4.79)
1
2
32% from average (6.25)
Yellow cards
181% from average (2.21)
4
1
60% from average (1.68)
119% from average (4.2)
Red cards
100% from average (1)
1
0
0% from average (0.6)
100% from average (1)
Fouls
176% from average (11.94)
21
11
87% from average (12.63)
129% from average (24.85)
Shots on goal
59% from average (11.84)
7
10
60% from average (16.65)
Shots on target
38% from average (5.26)
2
3
56% from average (5.35)
Blows past
57% from average (5.26)
3
8
101% from average (7.95)
Blocked Punches
97% from average (2.07)
2
0
0% from average (3.68)
Shots from the penalty area
52% from average (7.63)
4
8
69% from average (11.53)
Shots from outside the penalty area
65% from average (4.63)
3
2
34% from average (5.95)
Passes
71% from average (380.67)
271
585
109% from average (537.95)
Successful passes
60% from average (296.47)
178
483
108% from average (447.58)
Passing accuracy
85% from average (77.2)
66%
83%
101% from average (82.21)
Attacks
89% from average (83.53)
74
144
139% from average (103.55)
Dangerous Attacks
63% from average (38.26)
24
83
138% from average (59.95)
Offsides
276% from average (1.81)
5
1
36% from average (2.74)
Saves
50% from average (4)
2
0
0% from average (2.95)
Substitutions
74% from average (2.72)
2
3
111% from average (2.7)
Goal kicks
- from average (0)
0
0
- from average (0)
Trying to score
62% from average (9.63)
6
10
85% from average (11.74)
Free Kicks
- from average (0)
0
0
- from average (0)
Outs
- from average (0)
0
0
- from average (0)
Playing Safely with a Ball
89% from average (89.25)
79
91
92% from average (98.95)
Match Progress
The match has begun - the first half is underway
0
:0
Goal
20’
A. Rodríguez
1
:0
Yellow Card
21’
A. Ring
Goal
36’
A. Rodríguez
2
:0
Yellow Card
45’+2’
C. Warner
The match has continued - the second half is underway
2
:0
Yellow Card
54’
F. Calvo
Substitution
73’
A. Ring
R. Wallace
Red card (second yellow)
77’
C. Warner
Substitution
77’
J. Berget
J. Medina
Substitution
79’
A. Rodríguez
E. Miller
Substitution
83’
B. Sweat
R. Matarrita
Substitution
83’
A. Gómez
H. Heath
Goal
90’+1’
R. Wallace
2
:1
Match finished
2
:1
Starting lineups
№
Player
33
Bobby Shuttleworth
~
1
~
~
3
Jérôme Thiesson
~
~
~
+2
15
Michael Boxall
~
~
~
+1
14
Brent Kallman
~
~
~
+2
5
Francisco Calvo
~
1
~
+2
26
Collen Warner
1
1
~
+3
20
Rasmus Schüller
~
~
~
+1
10
Miguel Ibarra
~
~
~
+1
25
Darwin Quintero
~
~
~
+3
32
Alexi Gómez
~
~
~
+2
9
Angelo Rodríguez
~
~
2
+4
№
Player
1
Sean Johnson
~
~
~
~
3
Anton Tinnerholm
~
~
~
+1
33
Sebastien Ibeagha
~
~
~
+2
6
Alexander Callens
~
~
~
+3
2
Ben Sweat
~
~
~
+1
20
Eloi Amagat
~
~
~
+2
8
Alexander Ring
~
1
~
+1
12
Ebenezer Ofori
~
~
~
+1
11
Valentín Castellanos
~
~
~
+4
9
Jo Inge Berget
~
~
~
+3
29
Ismael Tajouri-Shradi
~
~
~
+2
Substitutions
№
Player
28
Matt Lampson
~
~
~
~
22
Wyatt Omsberg
~
~
~
~
30
Eric Miller
~
~
~
~
7
Ibson
~
~
~
~
16
Harrison Heath
~
~
~
~
23
Mason Toye
~
~
~
~
19
Frantz Pangop
~
~
~
~
№
Player
41
Brad Stuver
~
~
~
~
22
Ronald Matarrita
~
~
~
~
16
James Sands
~
~
~
~
14
Kwame Awuah
~
~
~
~
15
Thomas McNamara
~
~
~
~
23
Rodney Wallace
~
~
~
+2
19
Jesús Medina
~
~
~
~
These are detailed team statistics
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These are the referee's detailed match statistics Minnesota United - New York City 30.09.2018
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!
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These are detailed statistics of head-to-head meetings Minnesota United and New York City before the match 30.09.2018
We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data
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