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#6 · 3 pts
3 – 1
Final score
#10 · 1 pts
L. Bayliss 35'
L. Bayliss 53'
L. Brook (ast. F. De Vries) 85'
42' (ast. K. Rahmani) Q. MacNicol
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The ForzaPitch pre-match prediction gave Auckland a 33% win probability (draw 32%, Melbourne City 33%). The final result was Auckland 3–1 Melbourne City. In 3 previous meetings, Auckland have won 1 times, with 1 draws and 1 wins for Melbourne City.

Match statistics
9
Total shots
12
4
Shots on target
5
4
Saves
1
42%
Possession
58%
3
Corners
6
18
Tackles
13
2
🟨 Yellow cards
1
Match Events
S. Cosgrove
32'
32'
A. Behich
⚽L. Bayliss
35'
42'
ast. K. Rahmani · Q. MacNicol⚽
⚽L. Bayliss
53'
67'
M. Caputo / A. Nabbout ↕
75'
M. Leckie / B. Kutleshi ↕
75'
L. Wong / Q. MacNicol ↕
↕ L. Bayliss / V. Fitzharris
80'
⚽L. Brook · ast. F. De Vries
85'
↕ L. Brook / I. Prins
88'
↕ J. Brimmer / D. Normann
88'
L. Rogerson
88'
↕ S. Cosgrove / C. Elliot
90'
Pre-match prediction
33.87%
Auckland ←
32.77%
X
33.36%
Melbourne
we assigned to the actual result (Auckland) 33.87% (low confidence)
Expected vs actual xG
Exp.
Actual
Δ
Auckland
1.22
—
—
Melbourne
1.31
—
—
League Table
#Team GPts
1 Wellington Phoenix Wellington Phoenix 2 6
2 Western Sydney Wanderers Western Sydney Wanderers 2 4
3 Macarthur Macarthur 2 4
4 Sydney Sydney 2 4
5 Brisbane Roar Brisbane Roar 1 3
6 Auckland Auckland 2 3
7 Newcastle Jets Newcastle Jets 2 2
8 Melbourne Victory Melbourne Victory 2 1
9 Central Coast Mariners Central Coast Mariners 2 1
10 Melbourne City Melbourne City 2 1
11 Adelaide United Adelaide United 1 0
12 Perth Glory Perth Glory 2 0
Lineups
Auckland Auckland 4-2-3-1
1 Michael Woud Michael Woud G 7.30
15 F. de Vries F. de Vries 1 👟 D 7.90
4 Nando Pijnaker Nando Pijnaker D 7.00
25 Luka Vicelich Luka Vicelich D 6.60
2 Hiroki Sakai Hiroki Sakai D 7.90
22 Jake Brimmer Jake Brimmer 88' M 6.70
8 Felipe Gallegos Felipe Gallegos M 6.30
27 Logan Rogerson Logan Rogerson M 6.20
10 Lachlan Bayliss Lachlan Bayliss 2 ⚽ 80' M 8.60
77 Lachlan Brook Lachlan Brook 1 ⚽ 88' M 6.90
9 Sam Cosgrove Sam Cosgrove 89' F 7.30
Bench
17 Callan Elliot Callan Elliot 1' D
16 Daniel  Normann Daniel Normann 9' M 6.60
35 Jonty Bidois Jonty Bidois F
30 Joseph James Knowles Joseph James Knowles G
23 Ronan Wynne Ronan Wynne D
57 Van Fitzharris Van Fitzharris 10' M 6.30
Melbourne City Melbourne City 4-2-3-1
1 Macklin Freke Macklin Freke G 4.90
16 Aziz Behich Aziz Behich D 5.90
2 Harrison Delbridge Harrison Delbridge D 6.20
4 Liam Bonetig Liam Bonetig D 6.90
13 Nathaniel Atkinson Nathaniel Atkinson D 6.20
24 Kavian Rahmani Kavian Rahmani 1 👟 M 7.50
14 Besian Kutleshi Besian Kutleshi 75' M 6.00
11 A. Mabil A. Mabil M 6.30
19 Quinn MacNicol Quinn MacNicol 1 ⚽ 75' M 7.00
23 Medin Memeti Medin Memeti M 6.90
15 Andrew Nabbout Andrew Nabbout 67' F 6.20
Bench
40 James Nieuwenhuizen James Nieuwenhuizen G
41 Lawrence Wong Lawrence Wong 15' M 6.70
7 Mathew Leckie Mathew Leckie 15' F 6.50
9 Max Caputo Max Caputo 23' F 6.70
22 Peter Antoniou Peter Antoniou D
77 Takeshi Kanamori Takeshi Kanamori F
Best on the pitch
Lachlan Bayliss
Lachlan Bayliss
M · Auckland
8.60
2 ⚽
3 shots · 25 pass
F. de Vries
F. de Vries
D · Auckland
7.90
1 👟
· 30 pass
Hiroki Sakai
Hiroki Sakai
D · Auckland
7.90
· 34 pass
Kavian Rahmani
Kavian Rahmani
M · Melbourne
7.50
1 👟
1 shots · 34 pass
Michael Woud
Michael Woud
G · Auckland
7.30
· 33 pass
Sam Cosgrove
Sam Cosgrove
F · Auckland
7.30
· 21 pass
Auckland Auckland — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
Michael Woud G 90 7.30 — — — 33 23% — — —
F. de Vries D 90 7.90 — 1 — 30 21% 2 — —
Nando Pijnaker D 90 7.00 — — 1 42 30% 2 — —
Luka Vicelich D 90 6.60 — — — 33 27% 1 — —
Hiroki Sakai D 90 7.90 — — — 34 25% 2 — —
Jake Brimmer M 88 6.70 — — 1 30 24% 4 — —
Felipe Gallegos M 90 6.30 — — 1 27 19% 2 — —
Logan Rogerson M 90 6.20 — — 1 19 16% 1 1 —
Lachlan Bayliss M 80 8.60 2 — 3 25 18% 1 — —
Lachlan Brook M 88 6.90 1 — 2 18 13% 1 — —
Sam Cosgrove F 89 7.30 — — — 21 7% 1 1 —
Callan Elliot D 1 — — — — 2 1% — — —
Daniel Normann M 9 6.60 — — — 2 1% 1 — —
Van Fitzharris M 10 6.30 — — — 6 4% — — —
Melbourne City Melbourne City — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
Macklin Freke G 90 4.90 — — — 23 18% — — —
Aziz Behich D 90 5.90 — — — 64 52% 2 1 —
Harrison Delbridge D 90 6.20 — — 1 72 69% — — —
Liam Bonetig D 90 6.90 — — — 59 53% — — —
Nathaniel Atkinson D 90 6.20 — — — 42 27% 4 — —
Kavian Rahmani M 90 7.50 — 1 1 34 27% 2 — —
Besian Kutleshi M 75 6.00 — — — 33 22% 2 — —
A. Mabil M 90 6.30 — — — 40 28% — — —
Quinn MacNicol M 75 7.00 1 — 4 15 10% — — —
Medin Memeti M 90 6.90 — — 4 27 20% 1 — —
Andrew Nabbout F 67 6.20 — — 2 16 8% — — —
Lawrence Wong M 15 6.70 — — — 7 7% 1 — —
Mathew Leckie F 15 6.50 — — — 15 13% — — —
Max Caputo F 23 6.70 — — — 3 3% 1 — —
Frequently Asked Questions
What was the final score of Auckland vs Melbourne City?
The final score was Auckland 3–1 Melbourne City.
What did the model predict before Auckland vs Melbourne City?
The model assigned 33% probability to a Auckland win, 32% to a draw, and 33% to an Melbourne City win.