Melbourne City Predictions, Stats & Form
Recent Form
Melbourne Average Stats
Last 10 Matches
AI Predictions
04:00 Upcoming |
Sydney FC 
  |
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? |
? |
? |
? |
 |
08:15 Finished |
 Buriram (Tha) 
0
:
0
|
|
|
|
2 |
O1.5 |
YES |
O1.5 |
5.1/10 |
03:45 Finished |
Melbourne
1
:
1
|
|
|
|
1X |
O1.5 |
YES |
O1.5 |
4.2/10 |
00:00 Finished |
Auckland FC 
3
:
0
|
|
|
|
1 |
O1.5 |
YES |
1X |
6.1/10 |
04:35 Finished |
Melbourne
1
:
3
 |
|
|
|
2 |
U3.5 |
NO |
X2 |
4.8/10 |
06:00 Finished |
Melbourne
0
:
0
 |
|
|
|
X |
U3.5 |
YES |
U3.5 |
4.7/10 |
06:00 Finished |
Ulsan HD 
1
:
2
|
|
|
|
1 |
U3.5 |
NO |
U3.5 |
6.8/10 |
04:35 Finished |
WS Wanderers 
1
:
1
|
|
|
|
1 |
U3.5 |
YES |
1X |
4.6/10 |
02:00 Finished |
Wellingto 
2
:
2
|
|
|
|
1 |
O1.5 |
YES |
HS |
7.1/10 |
06:00 Finished |
Seoul (Kor) 
1
:
1
|
|
|
|
X |
U3.5 |
YES |
U3.5 |
3/10 |
06:35 Finished |
Melbourne
1
:
1
 |
|
|
|
1 |
O2.5 |
NO |
1 |
4.3/10 |
06:35 Finished |
Western U
0
:
3
|
|
|
|
2 |
O2.5 |
YES |
O2.5 |
7/10 |
About This Page
On this page, you can find football predictions, stats, and analysis for the team Melbourne City. All predictions are generated using our AI algorithm, NT Apex. To date, the algorithm has predicted 131 matches involving Melbourne City with a success rate of 64.89% for the best tip. The predictions include tips for Final Result, Under/Over, Both Teams to Score, Ball Possession, Total Shots, Corners, xG, Correct Score, etc.
Although active predictions are blurred without a subscription, we maintain full transparency: all completed matches remain visible, allowing you to review our performance history at any time.
| Stat | Home | Away | Total |
|---|---|---|---|
| Matches | 9 | 10 | 19 |
| Wins | 3 | 2 | 5 |
| Draws | 2 | 5 | 7 |
| Losses | 4 | 3 | 7 |
| Goals For | 10 | 10 | 20 |
| Goals Against | 10 | 17 | 27 |
| Avg Goals For | 1.1 | 1.0 | 1.1 |
| Avg Goals Against | 1.1 | 1.7 | 1.4 |
| Clean Sheets | 3 | 4 | 7 |
| Failed to Score | 3 | 3 | 6 |
| Player | Age | Pos | Rating |
|---|---|---|---|
K. Trewin
|
24 | MID | 7.22 |
M. Leckie
|
34 | MID | 7.10 |
G. Ferreyra
|
29 | DEF | 7.05 |
A. Behich
|
35 | DEF | 7.00 |
P. Beach
|
22 | GK | 6.98 |
H. Delbridge
|
33 | DEF | 6.95 |
M. Younis
|
20 | FWD | 6.94 |
Kavian Rahmani
|
19 | FWD | 6.81 |
Peter Antoniou
|
18 | DEF | 6.74 |
T. Kanamori
|
31 | FWD | 6.72 |
L. Bonetig
|
20 | DEF | 6.72 |
N. Atkinson
|
26 | DEF | 6.70 |
S. Souprayen
|
36 | DEF | 6.70 |
H. Shillington
|
20 | DEF | 6.68 |
Ryan Teague
|
23 | MID | 6.65 |
A. Kuen
|
30 | MID | 6.64 |
E. Durakovic
|
20 | MID | 6.64 |
Z. Schreiber
|
20 | MID | 6.56 |
A. Nabbout
|
33 | FWD | 6.55 |
M. Memeti
|
18 | FWD | 6.55 |
M. Caputo
|
20 | FWD | 6.54 |
E. Rashani
|
32 | FWD | 6.52 |
D. Arzani
|
26 | FWD | 6.43 |
Beckham Baker
|
17 | FWD | 6.41 |
A. Lopane
|
21 | MID | 6.41 |
Lawrence Wong
|
18 | MID | 6.38 |
Besian Kutleshi
|
16 | DEF | 6.35 |
B. Mazzeo
|
20 | FWD | 6.32 |
