A-League Women
28/01/2026 • 11:00
Finished
Sam Kerr Football Centre
P. Malau-Aduli
Match timeline
8 eventsFull timeline Show Hide
46'
Sydney FC W
Substitution
by A. Cassar
63'
Perth Glory FC W
Substitution
by S. O'Donoghue
71'
Sydney FC W
Substitution
by A. Lemon
76'
Perth Glory FC W
Substitution
by R. Badawiya
77'
Perth Glory FC W
Substitution
by B. Trew
87'
Perth Glory FC W
Substitution
by S. Phonsongkham
87'
Perth Glory FC W
Substitution
by M. Anderson
89'
Sydney FC W
Substitution
by J. Ulkekul
Lineups
👤
Coach:
S. Peters
Starting XI
Midfield
- 1T. Morrissey
- 5G. Johnston
- 29O. Zogg
- 2M. Anderson
- 24J. Sardo
- 3E. Tovar
- 23I. Dalton
- 19S. O'Donoghue
- 17R. Badawiya
- 12B. Trew
- 10S. Phonsongkham
Substitutes
Midfield
- 30J. Skinner
- 9G. Hollar
- 26T. Lala
- 25E. Lincoln
- 11N. Tathem
- 27C. Wainwright
Starting XI
Midfield
- H. Hinz1
- T. Tumeth4
- M. Ayson2
- W. Pearson16
- K. Fenton5
- H. Lowry8
- A. Lemon14
- A. Cassar7
- S. Hunter21
- R. Tanner13
- J. Ulkekul9
Substitutes
Midfield
- C. Corbett17
- S. Halmarick19
- M. Hawkesby15
- A. Luchtmeijer18
- T. Robertson30
- R. Sullivan23
📅
Competition Stage
Regular Season - 10
Standings
1
Melbourne City W
23
Melbourne City W
D
L
W
2
Canberra United W
21
Canberra United W
D
W
D
3
Adelaide United W
20
Adelaide United W
W
W
D
4
Central Coast Mariners W
19
Central Coast Mariners W
D
W
L
5
Brisbane Roar FC W
19
Brisbane Roar FC W
D
D
W
6
Wellington Phoenix W
18
Wellington Phoenix W
W
L
D
7
Melbourne Victory W
17
Melbourne Victory W
L
D
L
8
Perth Glory FC W
17
Perth Glory FC W
D
W
W
9
Newcastle Jets FC W
16
Newcastle Jets FC W
W
W
L
10
Sydney FC W
12
Sydney FC W
D
L
D
11
Western Sydney Wanderers W
12
Western Sydney Wanderers W
D
L
D
AI Match Predictions
Prediction Reliability
59%
Most Likely Scores
0-0
67.0%
0-1
13.4%
1-0
13.4%
1-1
2.7%
Both Teams To Score
YES
3%
NO
97%
Likely: Clean sheet
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
99%
Over 1%
Under 99%
Over 1.5
1.5 Goals
Under 1.5
94%
Over 6%
Under 94%
Over 3.5
3.5 Goals
Under 3.5
100%
Over 0%
Under 100%
ℹ️ Predictions are generated using Poisson distribution models based on recent team form (home/away splits), expected goals, and historical performance. Confidence scores reflect data quality and pattern clarity.