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Melbourne City - Adelaide United 26.04.2026 10:30: score, statistics, forecasts

Completed
1
2
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1 half 1:0
2 half 0:2
26.04.2026 10:30
A-League Men
26 | 2025/2026 | Australia
Melbourne Rectangular Stadium
Hosts' position: 6 (-2)
Guests' Position: 4 (+2)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.55 3.15
Avg. angles per match 9.7 9.8
Avg. yellow cards per match 3.3 3.75
Avg. KK per match 0 0
Melbourne City Adelaide United
Match prediction value
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League & referee
We have detailed statistics not only on events, but also on referees and championships
A-League Men Referee A. King

LIVE match center

Goals
80% from average (1.25)
1
2
117.65% from average (1.7)
Corner
52.63% from average (5.7)
3
10
180.18% from average (5.55)
Fouls
93.22% from average (11.8)
11
13
143.65% from average (9.05)
110.09% from average (21.8)
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

+12%
1.93
2.16
Winner Melbourne City
Office: Pinnacle
+10%
1.89
2.08
Winner Melbourne City
Office: Marathonbet
+10%
1.96
2.15
Winner Melbourne City
Office: 1xbet
+5%
1.9
2
Winner Melbourne City
Office: bet365
+3%
3.8
3.9
Winner Draw
Office: bet365
Office
1
X
2
bet365
2
+5%
3.9
+3%
3.2
-13%
Marathonbet
2.08
+10%
3.62
-4%
3.18
-13%
Pinnacle
2.16
+12%
3.81
-1%
3.24
-14%
1xbet
2.15
+10%
3.74
-4%
3.28
-13%
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
Melbourne City Adelaide United
Goals per match average
2.55 3.15
Team goals per match average
1.25 1.7
Opponent goals per match average
1.3 1.45
Corners per match average
9.7 9.8
Team corners per match average
5.7 5.55
Opponent corners per match average
4 4.25
Yellow cards per match average
3.3 3.75

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
18.75
Home team fouls per match average
9.05
Away team fouls per match average
9.7
Average yellow cards per match
3.75
Hosts' yellow cards average per match
1.45
Away team yellow cards per match average
2.3
Red cards per match average
0

Interesting facts about the team Melbourne City

General
Melbourne City
Opponents

Interesting facts about the team Adelaide United

General
Adelaide United
Opponents

Brief Overview

Melbourne City - Adelaide United, match scheduled for 26.04.2026. This match will be officiated by A. King. Previously, we have seen these clubs clash in the following leagues: A-League Men, Australian Cup. For 11 seasons the teams have been facing each other. The most likely outcome is a win for Melbourne City, judging by the odds of 2.1.

This is the LIVE match center Melbourne City - Adelaide United 26.04.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
80% from average (1.25)
1
2
118% from average (1.7)
Possession
79% from average (54.35)
43%
57%
107% from average (53.15)
Corner
53% from average (5.7)
3
10
180% from average (5.55)
Yellow cards
303% from average (1.65)
5
2
143% from average (1.4)
192% from average (3.65)
Red cards
0% from average (0.05)
0
0
0% from average (0.05)
0% from average (0.05)
Fouls
93% from average (11.8)
11
13
144% from average (9.05)
110% from average (21.8)
Shots on goal
68% from average (13.15)
9
17
115% from average (14.75)
Shots on target
43% from average (4.6)
2
5
89% from average (5.6)
Blows past
101% from average (4.95)
5
6
114% from average (5.25)
Blocked Punches
55% from average (3.65)
2
6
154% from average (3.9)
Shots from the penalty area
84% from average (8.35)
7
13
141% from average (9.25)
Shots from outside the penalty area
42% from average (4.8)
2
4
73% from average (5.5)
Passes
71% from average (470.15)
332
441
97% from average (455.15)
Successful passes
66% from average (378.95)
252
359
96% from average (375.75)
Passing accuracy
95% from average (79.7)
76%
81%
99% from average (82.1)
Attacks
119% from average (106)
126
125
143% from average (87.4)
Dangerous Attacks
178% from average (50.6)
90
87
201% from average (43.2)
Offsides
49% from average (2.05)
1
1
53% from average (1.9)
Saves
77% from average (2.6)
2
1
23% from average (4.3)
Substitutions
104% from average (4.8)
5
4
95% from average (4.2)
Goal kicks
90% from average (7.75)
7
8
88% from average (9.05)
Trying to score
75% from average (9.3)
7
11
104% from average (10.6)
Free Kicks
129% from average (10.05)
13
11
108% from average (10.2)
Outs
71% from average (23.8)
17
26
139% from average (18.65)
Playing Safely with a Ball
108% from average (75.95)
82
104
124% from average (83.6)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
17’
Marcus Younis
1
:
0
Substitution
40’
Samuel Souprayen
Harrison Delbridge
The match has continued - the second half is underway
1
:
0
Substitution
63’
Zane Schreiber
Mathew Leckie
Substitution
63’
Emin Durakovic
Besian Kutleshi
Substitution
63’
Yaya Dukuly
Luka Jovanovic
Substitution
63’
Luke Duzel
Juan Muñiz
Yellow Card
70’
Max Caputo
Substitution
75’
Max Caputo
Medin Memeti
Substitution
75’
Andreas Kuen
Lawrence Wong
Substitution
78’
Anselmo
Craig Goodwin
Goal
79’
Luka Jovanovic
1
:
1
Yellow Card
85’
Besian Kutleshi
Yellow Card
89’
Harrison Delbridge
Substitution
89’
Harry Crawford
Austin Ayoubi
Yellow Card
90’+2’
Jay Barnett
Yellow Card
90’+6’
Aziz Behich
Yellow Card
90’+6’
Germán Ferreyra
Yellow Card
90’+6’
Luka Jovanovic
Yellow Card (not on the pitch)
90’+6’
Anselmo
Goal
90’+8’
Luka Jovanovic
1
:
2
Красная карточка (2-ая желтая)
90’+9’
Luka Jovanovic
Match Completed
1
:
2

Starting lineups

Player
1
Patrick Beach
~
~
~
~
36
Harrison Shillington
~
~
~
~
22
Germán Ferreyra
~
1
~
+1
26
Samuel Souprayen
~
~
~
~
16
Aziz Behich
~
1
~
+2
19
Zane Schreiber
~
~
~
+2
28
Marcus Younis
~
~
1
+4
30
Andreas Kuen
~
~
~
+2
39
Emin Durakovic
~
~
~
+1
11
Elbasan Rashani
~
~
~
+3
17
Max Caputo
~
1
~
+3
Player
22
J. Smits
~
~
~
~
14
Jay Barnett
~
1
~
+2
4
Panagiotis Kikianis
~
~
~
+3
3
Bart Vriends
~
~
~
~
19
Yaya Dukuly
~
~
~
+1
44
Ryan White
~
~
~
+3
23
Luke Duzel
~
~
~
+4
55
Ethan Alagich
~
~
~
+2
58
Harry Crawford
~
~
~
+1
87
Anselmo
~
1
~
+4
12
Jonny Yull
~
~
~
+2

These are the odds for the match Melbourne City - Adelaide United 26.04.2026

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 Melbourne City - Adelaide United 26.04.2026

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 Melbourne City and Adelaide United before the match 26.04.2026

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 Melbourne City - Adelaide United 26.04.2026

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