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New York City - Toronto 17.03.2024 02:30: score, statistics, forecasts

Completed
2
1
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1 half 1:1
2 half 1:0
17.03.2024 02:30
Major League Soccer
2024 | USA
Yankee Stadium
Hosts' position: 14 (-10)
Guests' Position: 4 (+10)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.25 2.35
Avg. angles per match 9.43 10.38
Avg. yellow cards per match 4.29 3.55
Avg. KK per match 0 0
New York City Toronto
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 Muhammad Hassan

LIVE match center

Goals
200% from average (1)
2
1
153.85% from average (0.65)
Corner
127.39% from average (4.71)
6
4
106.67% from average (3.75)
Fouls
114.16% from average (13.14)
15
26
252.18% from average (10.31)
164% from average (25)
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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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 Toronto
Goals per match average
2.25 2.35
Team goals per match average
1 0.65
Opponent goals per match average
1.25 1.7
Corners per match average
9.43 10.38
Team corners per match average
4.71 3.75
Opponent corners per match average
4.71 6.63
Yellow cards per match average
4.29 3.55

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
21.81
Home team fouls per match average
10.25
Away team fouls per match average
11.56
Average yellow cards per match
3.55
Hosts' yellow cards average per match
1.45
Away team yellow cards per match average
2.42
Red cards per match average
0

Interesting facts about the team New York City

General
New York City
Opponents

Interesting facts about the team Toronto

General
Toronto
Opponents

Brief Overview

Toronto will play away against New York City 17.03.2024. This match will be officiated by Muhammad Hassan. The clubs' head-to-head meetings have so far only been seen within one league. For 9 seasons the teams have been facing each other.

This is the LIVE match center New York City - Toronto 17.03.2024

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
200% from average (1)
2
1
154% from average (0.65)
Possession
101% from average (52.36)
53%
47%
94% from average (49.81)
Corner
127% from average (4.71)
6
4
107% from average (3.75)
Yellow cards
215% from average (1.86)
4
5
240% from average (2.08)
300% from average (3)
Red cards
- from average (0)
0
0
0% from average (0.33)
- from average (0)
Fouls
114% from average (13.14)
15
26
252% from average (10.31)
164% from average (25)
Shots on goal
157% from average (10.82)
17
13
140% from average (9.31)
Shots on target
217% from average (4.14)
9
1
34% from average (2.94)
Blows past
99% from average (6.07)
6
7
200% from average (3.5)
Blocked Punches
64% from average (3.14)
2
5
160% from average (3.13)
Shots from the penalty area
107% from average (9.36)
10
9
184% from average (4.88)
Shots from outside the penalty area
185% from average (3.79)
7
4
90% from average (4.44)
Passes
95% from average (474.21)
452
393
83% from average (472.88)
Successful passes
97% from average (394.93)
384
315
79% from average (397.19)
Passing accuracy
103% from average (82.5)
85%
80%
96% from average (83.5)
Attacks
107% from average (103.64)
111
72
80% from average (90.06)
Dangerous Attacks
92% from average (46.64)
43
32
81% from average (39.56)
Offsides
47% from average (2.15)
1
2
87% from average (2.31)
Saves
42% from average (2.36)
1
7
167% from average (4.19)
Substitutions
78% from average (3.86)
3
5
108% from average (4.63)
Goal kicks
0% from average (1.5)
0
0
- from average (0)
Trying to score
140% from average (10)
14
7
114% from average (6.13)
Free Kicks
- from average (0)
0
0
- from average (0)
Outs
45% from average (13.43)
6
3
36% from average (8.38)
Playing Safely with a Ball
103% from average (85.71)
88
82
98% from average (83.63)

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
7’
Jahkeele Marshall-Rutty
0
:
1
Goal
7’
Jahkeele Marshall-Rutty
0
:
2
Yellow Card
23’
Kevin Long
Yellow Card
23’
Kevin Long
Goal
24’
Santiago Rodríguez
1
:
2
Goal
24’
Santiago Rodríguez
2
:
2
Yellow Card
28’
Federico Bernardeschi
Yellow Card
28’
Federico Bernardeschi
Yellow Card
42’
Birk Risa
Yellow Card
42’
Birk Risa
The match has continued - the second half is underway
2
:
2
Substitution
46’
Matthew Longstaff
Kobe Franklin
Substitution
57’
Prince Osei Owusu
Kosi Thompson
Yellow Card
63’
Keaton Parks
Yellow Card
63’
Keaton Parks
Goal
64’
Kevin O'Toole
3
:
2
Goal
64’
Kevin O'Toole
4
:
2
Red Card
68’
Keaton Parks
Red Card
68’
Keaton Parks
Substitution
70’
Julián Fernández
Andrés Perea
Yellow Card
71’
Shane O'Neill
Yellow Card
71’
Shane O'Neill
Substitution
75’
Sigurd Rosted
Tyrese Spicer
Substitution
75’
Alonso Coello
Ayo Akinola
Substitution
83’
Hannes Wolf
Tayvon Gray
Substitution
90’
Monsef Bakrar
Justin Haak
Yellow Card
90’+3’
Justin Haak
Yellow Card
90’+3’
Justin Haak
Substitution
90’+3’
Jahkeele Marshall-Rutty
Deandre Kerr
Yellow Card
90’+5’
James Sands
Yellow Card
90’+5’
James Sands
Yellow Card
90’+5’
James Sands
Yellow Card
90’+7’
Lorenzo Insigne
Yellow Card
90’+7’
Kosi Thompson
Yellow Card
90’+7’
Kosi Thompson
Yellow Card
90’+7’
Lorenzo Insigne
Match Completed
4
:
2

Starting lineups

Player
49
Matthew Freese
~
~
~
~
49
Matthew Freese
~
~
~
~
35
Mitja Ilenič
~
~
~
+2
35
Mitja Ilenič
~
~
~
+2
13
Thiago Martins
~
~
~
~
13
Thiago Martins
~
~
~
~
5
Birk Risa
~
1
~
+4
5
Birk Risa
~
1
~
+4
22
Kevin O'Toole
~
~
1
+3
22
Kevin O'Toole
~
~
1
+3
55
Keaton Parks
1
1
~
+4
55
Keaton Parks
1
1
~
+4
6
James Sands
~
1
~
+2
6
James Sands
~
1
~
+2
10
Santiago Rodríguez
~
~
1
+3
10
Santiago Rodríguez
~
~
1
+3
11
Julián Fernández
~
~
~
+4
11
Julián Fernández
~
~
~
+4
9
Monsef Bakrar
~
~
~
+5
9
Monsef Bakrar
~
~
~
+5
17
Hannes Wolf
~
~
~
+3
17
Hannes Wolf
~
~
~
+3
Player
90
Luka Gavran
~
~
~
~
90
Luka Gavran
~
~
~
~
27
Shane O'Neill
~
1
~
+2
27
Shane O'Neill
~
1
~
+2
5
Kevin Long
~
1
~
+1
5
Kevin Long
~
1
~
+2
17
Sigurd Rosted
~
~
~
+1
17
Sigurd Rosted
~
~
~
+1
10
Federico Bernardeschi
~
1
~
+3
10
Federico Bernardeschi
~
1
~
+3
20
Deybi Flores
~
~
~
+2
20
Deybi Flores
~
~
~
+2
14
Alonso Coello
~
~
~
+1
14
Alonso Coello
~
~
~
+1
7
Jahkeele Marshall-Rutty
~
~
1
+5
7
Jahkeele Marshall-Rutty
~
~
1
+5
8
Matthew Longstaff
~
~
~
+3
8
Matthew Longstaff
~
~
~
+3
24
Lorenzo Insigne
~
1
~
+3
24
Lorenzo Insigne
~
1
~
+3
99
Prince-Osei Owusu
~
~
~
+2
99
Prince Osei Owusu
~
~
~
+3

Substitutions

Player
80
Justin Haak
~
~
~
+1
16
Alonso Martínez
~
~
~
~
1
Luis Barraza
~
~
~
~
8
Andrés Perea
~
~
~
+1
12
Strahinja Tanasijević
~
~
~
~
21
Andres Jasson
~
~
~
~
24
Tayvon Gray
~
~
~
~
26
Agustin Ojeda
~
~
~
~
7
Jovan Mijatović
~
~
~
~
Player
6
Aimé Mabika
~
~
~
~
47
Kosi Thompson
~
~
~
+1
18
Gregory Ranjitsingh
~
~
~
~
19
Kobe Franklin
~
~
~
+1
9
Ayo Akinola
~
~
~
+1
29
Deandre Kerr
~
~
~
+1
77
Jordan Perruzza
~
~
~
~
16
Tyrese Spicer
~
~
~
+1
12
Cassius Mailula
~
~
~
~

These are detailed team statistics

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These are the referee's detailed match statistics New York City - Toronto 17.03.2024

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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These are detailed statistics of head-to-head meetings New York City and Toronto before the match 17.03.2024

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