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Minnesota United - Los Angeles FC 25.04.2026 23:45: score, statistics, forecasts

Completed
0
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1 half 0:1
2 half 0:0
25.04.2026 23:45
Major League Soccer
2026 | USA
Allianz Field
Hosts' position: 4 (-1)
Guests' Position: 3 (+1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.45 2.35
Avg. angles per match 9.5 10.2
Avg. yellow cards per match 3.8 5
Avg. KK per match 0.67 0
Minnesota United Los Angeles FC
Match prediction value
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Trend Search
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Major League Soccer Referee Guido Gonzalez

LIVE match center

Goals
0% from average (1.2)
0
1
58.82% from average (1.7)
Corner
279.19% from average (3.94)
11
2
35.27% from average (5.67)
Fouls
87.09% from average (12.63)
11
9
74.2% from average (12.13)
84.03% from average (23.8)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
Visit the LIVE Center

Top loads

+14%
2.37
2.7
Winner Minnesota United
Office: bet365
+11%
2.48
2.76
Winner Minnesota United
Office: 1xbet
+2%
2.39
2.44
Winner Minnesota United
Office: Marathonbet
+2%
3.47
3.53
Winner Draw
Office: Pinnacle
+2%
2.43
2.49
Winner Minnesota United
Office: Pinnacle
+0%
2.86
2.87
Winner Los Angeles FC
Office: Pinnacle
Office
1
X
2
bet365
2.7
+14%
3.4
-3%
2.55
-3%
Marathonbet
2.44
+2%
3.36
-2%
2.74
-1%
Pinnacle
2.49
+2%
3.53
+2%
2.87
+0%
1xbet
2.76
+11%
3.51
-1%
2.59
-11%
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
Minnesota United Los Angeles FC
Goals per match average
2.45 2.35
Team goals per match average
1.2 1.7
Opponent goals per match average
1.25 0.65
Corners per match average
9.5 10.2
Team corners per match average
3.94 5.67
Opponent corners per match average
5.56 4.53
Yellow cards per match average
3.8 5

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
23.73
Home team fouls per match average
12.07
Away team fouls per match average
11.67
Average yellow cards per match
5
Hosts' yellow cards average per match
2.27
Away team yellow cards per match average
2.62
Red cards per match average
0

Interesting facts about the team Minnesota United

General
Minnesota United
Opponents

Interesting facts about the team Los Angeles FC

General
Los Angeles FC
Opponents

Brief Overview

Minnesota United - Los Angeles FC, the match will take place on 25.04.2026. The referee will be Guido Gonzalez. Major League Soccer is the only league where the clubs have faced each other, having never met in any cup. The teams have already clashed several times in the 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025. The most likely outcome is a win for Minnesota United, judging by the odds of 2.6.

This is the LIVE match center Minnesota United - Los Angeles FC 25.04.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
0% from average (1.2)
0
1
59% from average (1.7)
Possession
146% from average (42.5)
62%
38%
79% from average (48.4)
Corner
279% from average (3.94)
11
2
35% from average (5.67)
Yellow cards
46% from average (2.19)
1
3
162% from average (1.85)
100% from average (4)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
87% from average (12.63)
11
9
74% from average (12.13)
84% from average (23.8)
Shots on goal
192% from average (12)
23
7
51% from average (13.67)
Shots on target
88% from average (4.56)
4
7
144% from average (4.87)
Blows past
238% from average (4.63)
11
0
0% from average (4.87)
Blocked Punches
285% from average (2.81)
8
0
0% from average (4)
Shots from the penalty area
134% from average (8.19)
11
5
57% from average (8.73)
Shots from outside the penalty area
309% from average (3.88)
12
2
41% from average (4.93)
Passes
147% from average (419.44)
618
392
81% from average (481)
Successful passes
159% from average (344.19)
547
319
76% from average (418.67)
Passing accuracy
110% from average (80.81)
89%
81%
95% from average (85.67)
Attacks
183% from average (88.44)
162
59
69% from average (86)
Dangerous Attacks
136% from average (44.88)
61
17
35% from average (48.93)
Offsides
0% from average (1.27)
0
0
0% from average (2.31)
Saves
185% from average (3.25)
6
3
79% from average (3.8)
Substitutions
107% from average (4.69)
5
5
121% from average (4.13)
Goal kicks
28% from average (7.13)
2
11
168% from average (6.53)
Trying to score
174% from average (8.06)
14
7
81% from average (8.6)
Free Kicks
75% from average (12)
9
11
97% from average (11.33)
Outs
99% from average (17.19)
17
12
79% from average (15.2)
Playing Safely with a Ball
89% from average (74.88)
67
78
106% from average (73.73)

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
9’
David Martínez
0
:
1
The match has continued - the second half is underway
0
:
1
Substitution
46’
Aaron Long  
Ryan Porteous
Yellow Card
52’
Timothy Tillman
Yellow Card
53’
Kelvin Yeboah
Substitution
59’
Stephen Eustaquio
Mathieu Choinière
Substitution
60’
David Martínez
Jeremy Ebobisse
Substitution
62’
Bongokuhle Hlongwane
Kyle Duncan
Substitution
63’
Mamadou Dieng
Tomás Chancalay
Substitution
63’
James Rodríguez
Joaquín Pereyra
Substitution
78’
Nectarios Triantis
Owen Gene
Substitution
78’
Wil Trapp
Mauricio Gonzalez
Substitution
84’
Nathan Ordaz
Jude Terry
Yellow Card
86’
Ryan Hollingshead
Substitution
90’+2’
Artem Smolyakov
Sergi Palencia
Yellow Card
90’+4’
Sergi Palencia
Match Completed
0
:
1

Starting lineups

Player
12
Drake Callender
~
~
~
~
28
Jefferson Díaz
~
~
~
+4
23
Morris Duggan
~
~
~
+3
2
Devin Padelford
~
~
~
+1
5
Nicolás Romero
~
~
~
~
3
Kyle Duncan
~
~
~
~
21
Bongokuhle Hlongwane
~
~
~
+1
25
Nectarios Triantis
~
~
~
+2
30
Owen Gene
~
~
~
~
20
Wil Trapp
~
~
~
~
13
Anthony Markanich Jr.
~
~
~
+2
26
Joaquín Pereyra
~
~
~
~
10
James Rodríguez
~
~
~
+4
8
Tomás Chancalay
~
~
~
~
29
Mamadou Dieng
~
~
~
+1
9
Kelvin Yeboah
~
1
~
+3
Player
1
Hugo Lloris
~
~
~
~
14
Sergi Palencia
~
~
~
~
33
Aaron Long
~
~
~
+1
5
Ryan Porteous
~
~
~
~
91
Nkosi Tafari
~
~
~
~
4
Eddie Segura
~
~
~
~
24
Ryan Hollingshead
~
1
~
+1
46
Stephen Eustaquio
~
~
~
+1
8
Mark Delgado
~
~
~
~
11
Timothy Tillman
~
1
~
+2
29
Artem Smolyakov
~
~
~
+2
30
David Martínez
~
~
1
+2
27
Nathan Ordaz
~
~
~
+2
7
Heung-min Son
~
~
~
~
99
Denis Bouanga
~
~
~
+4

These are the odds for the match Minnesota United - Los Angeles FC 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 Minnesota United - Los Angeles FC 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 Minnesota United and Los Angeles FC 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 Minnesota United - Los Angeles FC 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