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CF Montréal - New York City 25.04.2026 21:30: score, statistics, forecasts

Completed
1
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1 half 1:0
2 half 0:0
25.04.2026 21:30
Major League Soccer
2026 | USA
Stade Saputo
Hosts' position: 13 (-6)
Guests' Position: 7 (+6)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3.2 3.3
Avg. angles per match 9.5 8.56
Avg. yellow cards per match 4.43 4.67
Avg. KK per match 0 1
CF Montréal New York City
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 Ramy Touchan

LIVE match center

Goals
76.92% from average (1.3)
1
0
0% from average (1.7)
Corner
60.73% from average (4.94)
3
1
25.38% from average (3.94)
Fouls
135.03% from average (13.33)
18
15
121.65% from average (12.33)
127.41% from average (25.9)
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

+10%
2.81
3.09
Winner CF Montréal
Office: Pinnacle
+8%
2.76
2.99
Winner CF Montréal
Office: Marathonbet
+7%
2.7
2.9
Winner CF Montréal
Office: bet365
+5%
2.87
3
Winner CF Montréal
Office: 1xbet
Office
1
X
2
bet365
2.9
+7%
3.5
-3%
2.37
-1%
Marathonbet
2.99
+8%
3.36
-3%
2.27
-5%
Pinnacle
3.09
+10%
3.5
-1%
2.36
-3%
1xbet
3
+5%
3.47
-3%
2.43
-2%
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
CF Montréal New York City
Goals per match average
3.2 3.3
Team goals per match average
1.3 1.7
Opponent goals per match average
1.9 1.6
Corners per match average
9.5 8.56
Team corners per match average
4.94 3.94
Opponent corners per match average
4.56 4.63
Yellow cards per match average
4.43 4.67

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
25.07
Home team fouls per match average
12.33
Away team fouls per match average
12.73
Average yellow cards per match
4.67
Hosts' yellow cards average per match
1.92
Away team yellow cards per match average
3
Red cards per match average
1

Interesting facts about the team CF Montréal

General
CF Montréal
Opponents

Interesting facts about the team New York City

General
New York City
Opponents

Brief Overview

CF Montréal 25.04.2026 will host New York City. The referee appointed for this match is Ramy Touchan. Previously, we have seen these clubs clash in the following leagues: Major League Soccer, Club Friendlies 3. For 9 seasons the teams have been facing each other. Judging by the odds of 3 for a home win, the away side still has a better chance of winning.

This is the LIVE match center CF Montréal - New York City 25.04.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
77% from average (1.3)
1
0
0% from average (1.7)
Possession
70% from average (49.81)
35%
65%
119% from average (54.69)
Corner
61% from average (4.94)
3
1
25% from average (3.94)
Yellow cards
250% from average (2)
5
3
141% from average (2.13)
148% from average (5.39)
Red cards
- from average (0)
0
1
- from average (0)
- from average (0)
Fouls
135% from average (13.33)
18
15
122% from average (12.33)
127% from average (25.9)
Shots on goal
65% from average (12.25)
8
4
33% from average (12.27)
Shots on target
116% from average (4.31)
5
2
37% from average (5.44)
Blows past
20% from average (5)
1
1
27% from average (3.67)
Blocked Punches
63% from average (3.2)
2
1
36% from average (2.8)
Shots from the penalty area
51% from average (7.87)
4
3
38% from average (7.93)
Shots from outside the penalty area
91% from average (4.4)
4
1
23% from average (4.33)
Passes
84% from average (410.67)
346
629
119% from average (528.4)
Successful passes
83% from average (335.47)
277
555
123% from average (449.53)
Passing accuracy
99% from average (80.67)
80%
88%
104% from average (84.53)
Attacks
99% from average (79.06)
78
118
121% from average (97.13)
Dangerous Attacks
88% from average (39.56)
35
40
83% from average (48.13)
Offsides
0% from average (2.36)
0
3
102% from average (2.93)
Saves
58% from average (3.47)
2
4
133% from average (3)
Substitutions
88% from average (4.56)
4
4
105% from average (3.8)
Goal kicks
43% from average (7)
3
4
64% from average (6.27)
Trying to score
70% from average (8.6)
6
3
34% from average (8.93)
Free Kicks
117% from average (12.8)
15
18
138% from average (13)
Outs
165% from average (13.33)
22
21
120% from average (17.53)
Playing Safely with a Ball
84% from average (70.19)
59
71
94% from average (75.79)

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
Goal
18’
Prince Owusu
1
:
0
The match has continued - the second half is underway
1
:
0
Substitution
46’
Noah Streit
Olger Escobar
Yellow Card
63’
Samuel Piette  
Substitution
65’
Keaton Parks
Raul Gustavo
Substitution
65’
Arnau Farnós
Talles Magno
Substitution
65’
Agustín Ojeda
Seymour Reid
Substitution
70’
Samuel Piette  
Fabian Herbers
Yellow Card
74’
Tayvon Gray
Substitution
75’
Prince Owusu
Daniel Ríos
Красная карточка (2-ая желтая)
77’
Tayvon Gray
Yellow Card
81’
Nicolás Fernández Mercau
Yellow Card
81’
Olger Escobar
Substitution
82’
Maxi Moralez
Andrés Perea
Yellow Card
84’
Brayan Vera
Yellow Card
87’
Matty Longstaff
Substitution
87’
Jalen Neal
Efraín Morales 
Yellow Card
88’
Dawid Bugaj 
Yellow Card
90’+1’
Kai Trewin
Match Completed
1
:
0

Starting lineups

Player
31
Thomas Guilier
~
~
~
+1
27
Dawid Bugaj
~
1
~
+1
2
Jalen Neal
~
~
~
+2
4
Brayan Vera
~
1
~
+4
13
Luca Petrasso
~
~
~
+1
22
Victor Loturi
~
~
~
+2
6
Samuel Piette
~
1
~
+2
8
Matty Longstaff
~
1
~
+2
23
Noah Streit
~
~
~
+2
9
Prince Owusu
~
~
1
+4
10
Iván Jaime
~
~
~
+4
Player
49
Matt Freese
~
~
~
~
24
Tayvon Gray
~
1
~
+2
13
Thiago Martins
~
~
~
+1
5
Kai Trewin
~
1
~
+2
34
Raul Gustavo
~
~
~
~
22
Kevin O'Toole
~
~
~
~
55
Keaton Parks
~
~
~
+3
21
Aiden O'Neill
~
~
~
+3
26
Agustín Ojeda
~
~
~
+2
10
Maxi Moralez
~
~
~
+3
17
Hannes Wolf
~
~
~
~
87
Arnau Farnós
~
~
~
+2
7
Nicolás Fernández Mercau
~
1
~
+5

These are the odds for the match CF Montréal - New York City 25.04.2026

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 CF Montréal - New York City 25.04.2026

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!

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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 CF Montréal and New York City before the match 25.04.2026

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 CF Montréal - New York City 25.04.2026

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