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New York City - DC United 03.05.2026 22:00: score, statistics, forecasts

Completed
0
2
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1 half 0:1
2 half 0:1
03.05.2026 22:00
Major League Soccer
2026 | USA
Citi Field
Hosts' position: 8 (+2)
Guests' Position: 10 (-2)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3.5 2.55
Avg. angles per match 6.75 8.15
Avg. yellow cards per match 3.2 3.25
Avg. KK per match 0 0
New York City DC United
Match prediction value
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Major League Soccer Referee Ismail Elfath

LIVE match center

Goals
0% from average (1.8)
0
2
222.22% from average (0.9)
Corner
193.55% from average (3.1)
6
3
84.51% from average (3.55)
Fouls
103.63% from average (9.65)
10
17
152.47% from average (11.15)
115.63% from average (23.35)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Top loads

+6%
1.7
1.8
Winner New York City
Office: bet365
+5%
1.66
1.75
Winner New York City
Office: Marathonbet
+5%
1.72
1.81
Winner New York City
Office: 1xbet
+4%
1.69
1.76
Winner New York City
Office: Pinnacle
+0%
4.83
4.84
Winner DC United
Office: Pinnacle
Office
1
X
2
bet365
1.8
+6%
3.75
-7%
4.5
-6%
Marathonbet
1.75
+5%
3.6
-5%
4.5
-9%
Pinnacle
1.76
+4%
3.83
-2%
4.84
+0%
1xbet
1.81
+5%
3.74
-5%
4.67
-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
New York City DC United
Goals per match average
3.5 2.55
Team goals per match average
1.8 0.9
Opponent goals per match average
1.7 1.65
Corners per match average
6.75 8.15
Team corners per match average
3.1 3.55
Opponent corners per match average
3.65 4.6
Yellow cards per match average
3.2 3.25

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
20.25
Home team fouls per match average
10.6
Away team fouls per match average
9.65
Average yellow cards per match
3.25
Hosts' yellow cards average per match
1.65
Away team yellow cards per match average
1.6
Red cards per match average
0

Interesting facts about the team New York City

General
New York City
Opponents

Interesting facts about the team DC United

General
DC United
Opponents

Brief Overview

New York City - DC United, match scheduled for 03.05.2026. This match will be officiated by Ismail Elfath. The clubs do not meet in cups, but their league matches can be seen quite often: Major League Soccer, US Open Cup, Club Friendlies 1, Club Friendlies 3. The teams have already clashed several times in the 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025. The most likely outcome is a win for New York City, judging by the odds of 1.78.

This is the LIVE match center New York City - DC United 03.05.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
0% from average (1.8)
0
2
222% from average (0.9)
Possession
166% from average (44.1)
73%
27%
81% from average (33.3)
Corner
194% from average (3.1)
6
3
85% from average (3.55)
Yellow cards
71% from average (1.4)
1
4
229% from average (1.75)
118% from average (4.25)
Red cards
- from average (0)
0
0
0% from average (0.15)
0% from average (0.1)
Fouls
104% from average (9.65)
10
17
152% from average (11.15)
116% from average (23.35)
Shots on goal
106% from average (8.5)
9
19
205% from average (9.25)
Shots on target
96% from average (4.15)
4
7
246% from average (2.85)
Blows past
208% from average (2.4)
5
6
158% from average (3.8)
Blocked Punches
0% from average (1.95)
0
6
231% from average (2.6)
Shots from the penalty area
86% from average (5.8)
5
8
143% from average (5.6)
Shots from outside the penalty area
148% from average (2.7)
4
11
301% from average (3.65)
Passes
155% from average (404.15)
625
232
80% from average (289.2)
Successful passes
154% from average (345.05)
533
142
64% from average (221.4)
Passing accuracy
134% from average (63.55)
85%
61%
101% from average (60.6)
Attacks
208% from average (73.55)
153
82
123% from average (66.5)
Dangerous Attacks
213% from average (35.15)
75
38
119% from average (31.95)
Offsides
170% from average (2.35)
4
0
0% from average (0.95)
Saves
217% from average (2.3)
5
4
136% from average (2.95)
Substitutions
175% from average (2.85)
5
4
123% from average (3.25)
Goal kicks
132% from average (4.55)
6
9
170% from average (5.3)
Trying to score
102% from average (5.9)
6
10
206% from average (4.85)
Free Kicks
166% from average (10.25)
17
9
99% from average (9.05)
Outs
189% from average (12.7)
24
26
203% from average (12.8)
Playing Safely with a Ball
138% from average (51.5)
71
85
148% from average (57.55)

Match Progress

The match has begun - the first half is underway
0
:
0
Yellow Card
26’
Keisuke Kurokawa
Goal
29’
Louis Munteanu
0
:
1
Substitution
36’
Aiden O'Neill
Andrés Perea
Yellow Card
45’+3’
Silvan Hefti
The match has continued - the second half is underway
0
:
1
Substitution
60’
Jared Stroud
Aarón Herrera
Substitution
60’
Jackson Hopkins
Nikola Markovic
Substitution
63’
Strahinja Tanasijević
Keaton Parks
Substitution
63’
Malachi Jones
Hannes Wolf
Yellow Card
70’
Peglow
Substitution
78’
Louis Munteanu
Jacob Murrell
Yellow Card
80’
Nicolás Fernández Mercau
Substitution
81’
Raul Gustavo
Jonathan Shore
Substitution
81’
Agustín Ojeda
Seymour Reid
Substitution
89’
Peglow
Conner Antley
Yellow Card
90’+3’
Jacob Murrell
Match Completed
0
:
1

Starting lineups

Player
49
Matt Freese
~
~
~
~
19
Strahinja Tanasijević
~
~
~
+1
13
Thiago Martins
~
~
~
~
34
Raul Gustavo
~
~
~
+1
2
Nico Cavallo
~
~
~
~
5
Kai Trewin
~
~
~
+2
55
Keaton Parks
~
~
~
~
21
Aiden O'Neill
~
~
~
+1
22
Kevin O'Toole
~
~
~
~
26
Agustín Ojeda
~
~
~
+2
10
Maxi Moralez
~
~
~
+2
8
Andrés Perea
~
~
~
~
88
Malachi Jones
~
~
~
+3
7
Nicolás Fernández Mercau
~
1
~
+5
11
Talles Magno
~
~
~
~
Player
1
Sean Johnson
~
~
~
~
5
Silvan Hefti
~
1
~
+1
3
Lucas Bartlett
~
~
~
+1
15
Kye Rowles
~
~
~
+2
6
Keisuke Kurokawa
~
1
~
+3
22
Aarón Herrera
~
~
~
~
8
Jared Stroud
~
~
~
+2
4
Matti Peltola
~
~
~
+3
7
Peglow
~
1
~
+3
23
Brandon Servania
~
~
~
+3
11
Louis Munteanu
~
~
2
+3
25
Jackson Hopkins
~
~
~
+2

These are the odds for the match New York City - DC United 03.05.2026

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 New York City - DC United 03.05.2026

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!

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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 New York City and DC United before the match 03.05.2026

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 New York City - DC United 03.05.2026

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