New South Wales NPL 2
07/02/2026 • 07:00
Finished
Home scorers
- 7'
- 57'
- 71'
- 89'
Away scorers
- 35'
- 38'
- 49'
- 69'
- 90'
Match Timeline
9 events
Key Moments
-
7'Bankstown City LionsGoal
-
35'Rydalmere LionsGoal
-
38'Rydalmere LionsGoal
-
49'Rydalmere LionsGoal
-
57'Bankstown City LionsGoal
-
69'Rydalmere LionsGoal
-
71'Bankstown City LionsGoal
-
89'Bankstown City LionsGoal
-
90'Rydalmere LionsGoal
7'
Bankstown City Lions
Goal
35'
Rydalmere Lions
Goal
38'
Rydalmere Lions
Goal
49'
Rydalmere Lions
Goal
57'
Bankstown City Lions
Goal
69'
Rydalmere Lions
Goal
71'
Bankstown City Lions
Goal
89'
Bankstown City Lions
Goal
90'
Rydalmere Lions
Goal
Head to Head Record
2
Bankstown City Lions wins
1
Draws
4
Rydalmere Lions wins
7 matches
21 total goals
Recent H2H Form
Bankstown City Lions
L
L
W
D
W
Rydalmere Lions
W
W
L
D
L
Recent H2H Meetings
📅
Competition Stage
Regular Season - 1
Standings
1
UNSW
59
UNSW
W
W
W
2
SD Raiders
58
SD Raiders
W
W
W
3
Blacktown Spartans
54
Blacktown Spartans
W
W
L
4
Rydalmere Lions
51
Rydalmere Lions
W
W
D
5
Newcastle Jets II
49
Newcastle Jets II
L
L
D
6
Northern Tigers
49
Northern Tigers
W
L
L
7
Inter Lions
45
Inter Lions
D
W
W
8
Bulls Academy
43
Bulls Academy
L
L
L
9
Hills Brumbies
38
Hills Brumbies
L
W
D
10
Bankstown City Lions
37
Bankstown City Lions
W
W
D
11
Hakoah Sydney City
35
Hakoah Sydney City
L
L
D
12
Canterbury Bankstown
34
Canterbury Bankstown
D
L
D
13
Dulwich Hill
31
Dulwich Hill
L
L
W
14
Macarthur Rams
29
Macarthur Rams
D
L
L
15
Bonnyrigg White Eagles
28
Bonnyrigg White Eagles
D
W
W
16
Mounties Wanderers
25
Mounties Wanderers
L
L
L
AI Match Predictions
Prediction Reliability
61%
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.