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Australia · A-League Men

Melbourne City FC

MEL· 30,050 capacity

Position

7

Played

3

Points

4

1W 1D 1L

Goal difference

-1

4 scored, 5 against

Expected goals

3.9

1.9 against

Points vs expectedest.

-1.6

5.6 expected

Form

Recent form, oldest first: L, D, W
Where the season ends15%to win it

From 8,000 simulated seasons.

Win the leagueest.

15.4%

Top fourest.

51.8%

European placeest.

70.5%

Relegationest.

0.0%

Projected pointsest.

39

likely 31–47

Projected finishest.

5th

range 1–9

Power rating

1509

#2 in the division

Attack / defenceest.

73 / 86

75 is league average

Squad19

19 players from 4 countries.

Australia16Costa Rica1Denmark1Japan1
Squad by position, ordered by minutes played
PlayerMinutesGAShare of goals
GK
1Macklin Freke18000—
40James Nieuwenhuizen9000—
DF
13Nathaniel Atkinson27000—
2Harrison Delbridge27000—
16Aziz Behich27000—
4Liam Bonetig17700—
18Julio Cascante9301—
MF
24Kavian Rahmani27001—
19Quinn Macnicol2001025%
14Besian Kutleshi16500—
10Emiliano Marcondes901225%
41Lawrence Wong1500—
FW
11Awer Mabil2701025%
23Medin Memeti23700—
15Andrew Nabbout2081025%
7Matthew Leckie7000—
77Takeshi Kanamori5400—
9Max Caputo2300—
39Roland Ballah1800—

Ordered by minutes within each position, so the first-choice side sits at the top. Share of goals is measured against this squad’s 4 in the same matches these minutes come from — never against the league table, whose season is longer than the window player data covers.

Season by season17 seasons
Finishing position, 2010/2011 to 2026/20272010/2011: 8 of 11 in the A-League, 35 points2011/2012: 6 of 10 in the A-League, -1 points2012/2013: 9 of 10 in the A-League, 27 points2013/2014: 10 of 10 in the A-League, 26 points2014/2015: 6 of 10 in the A-League, 35 points2015/2016: 4 of 10 in the A-League, 44 points2016/2017: 4 of 10 in the A-League, 39 points2017/2018: 3 of 10 in the A-League, 43 points2018/2019: 5 of 10 in the A-League, 40 points2019/2020: 2 of 11 in the A-League, 47 points2020/2021: 1 of 12 in the A-League, 49 points2021/2022: 1 of 12 in the A-League, 49 points2022/2023: 1 of 12 in the A-League, 55 points2023/2024: 6 of 12 in the A-League, 39 points2024/2025: 2 of 13 in the A-League, 48 points2025/2026: 6 of 12 in the A-League, 38 points2026/2027: 7 of 12 in the A-League, 4 points
Best12020/2021Worst102013/2014Seasons17

First place is at the top. A change of division breaks the line, because 8th in one is not 8th in another.

Show data
Finishing position by season
SeasonCompetitionPosPts
2026/2027A-League7 of 124
2025/2026A-League6 of 1238
2024/2025A-League2 of 1348
2023/2024A-League6 of 1239
2022/2023A-League1 of 1255
2021/2022A-League1 of 1249
2020/2021A-League1 of 1249
2019/2020A-League2 of 1147
2018/2019A-League5 of 1040
2017/2018A-League3 of 1043
2016/2017A-League4 of 1039
2015/2016A-League4 of 1044
2014/2015A-League6 of 1035
2013/2014A-League10 of 1026
2012/2013A-League9 of 1027
2011/2012A-League6 of 10-1
2010/2011A-League8 of 1135
Honours0 titles
  • A-League0
  • Australia Cup0
In the dugout8 managers
Manager by season, with points per game
SeasonManagerW–D–LPts / game
2026/2027Aurelio VidmarA-League1–1–1
1.33
2025/2026Aurelio VidmarA-League10–8–8
1.46
2024/2025Aurelio VidmarA-League14–6–6
1.85
2023/2024Rado VidošićA-League0–0–2
0.00
2023/2024Aurelio VidmarA-League11–6–8
1.56
2022/2023Rado VidošićA-League16–7–3
2.12
2021/2022Patrick KisnorboA-League14–7–5
1.88
2020/2021Patrick KisnorboA-League15–4–7
1.88
2019/2020Erick MombaertsA-League14–5–7
1.81
2018/2019Warren JoyceA-League11–7–9
1.48
2017/2018Warren JoyceA-League13–4–10
1.59
2016/2017John van't SchipA-League5–5–3
1.54
2016/2017Michael ValkanisA-League6–1–7
1.36
2015/2016John van't SchipA-League13–5–9
1.63
2014/2015John van't SchipA-League9–8–10
1.30
2013/2014John AloisiA-League0–4–8
0.33
2013/2014John van't SchipA-League6–4–5
1.47
2012/2013John AloisiA-League8–3–16
1.00

One row per season, which is the grain the source supplies — a manager who stayed four years appears four times. Points per game is what makes spells of different lengths comparable.

The groundAAMI Park
CityMelbourneCapacity30,050Opened2010SurfaceGrass
Where the chances come from45 shots

Every shot taken, filterable by situation, body part and outcome.

Shot map — Melbourne City FC
Shots45Goals4xG3.85Conversion9%xG per shot0.086Big chances2

Marker area is expected-goal value. Filled markers are goals; a heavier outline is a big chance (our threshold, not the provider’s).

Show data
Every shot for Melbourne City FC
xGBodySituationOutcome
0.55right footset piecegoal
0.36right footopen playoff target
0.29headset pieceoff target
0.23headopen playoff target
0.16left footfast breakoff target
0.14headopen playpost
0.13headset pieceoff target
0.12right footopen playoff target
0.11headcornersaved
0.11right footcorneroff target
0.10right footopen playoff target
0.09right footopen playblocked
0.09headopen playoff target
0.09right footset piecegoal
0.08right footopen playoff target
0.08right footfast breakoff target
0.08headset piecesaved
0.07right footopen playgoal
0.07right footopen playoff target
0.06left footopen playgoal
0.05headopen playsaved
0.05right footopen playoff target
0.05left footopen playoff target
0.05right footopen playsaved
0.04right footopen playoff target
0.04right footopen playblocked
0.04right footcorneroff target
0.04right footset pieceoff target
0.04right footopen playsaved
0.04right footopen playblocked
0.04left footopen playoff target
0.03headset pieceoff target
0.03right footopen playsaved
0.03right footcorneroff target
0.03right footopen playoff target
0.03left footopen playsaved
0.03right footopen playoff target
0.03right footopen playsaved
0.03right footopen playoff target
0.02right footopen playoff target
0.02right footopen playsaved
0.02right footopen playblocked
0.02right footfast breakblocked
0.02right footopen playoff target
0.01right footopen playoff target
In the table7th on 4
A-League Men table. Ranked by points, then goal-difference, then goals-for.
#ClubPlGDPts1st
42+14
5%
5304
8%
63-14
15%
73-14
15%
83+23
5%
93-12
5%
103-22
<1%
Possible qualification next stage

Chances of finishing top of the regular season are Monte Carlo estimates over the remaining fixturesest. A shown 0% means it did not occur in 8,000 simulated seasons — not that it is impossible. The play-offs themselves are not simulated.