The standard of football in Australia keeps improving year after year. The Npl Nsw is widely recognized for the level of competition it consistently delivers. We focus on relevant data points to help you understand how teams are performing.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 29 | ||||
| Sydney Utd APIA Leichhardt 2026-08-23 |
WLWWL
LWWDW |
X2 | 0:0 |
52.78%
|
| Sydney Olympic Marconi Stallions 2026-08-23 |
LWLLL
WLLLL |
2 | 0:1 |
79.69%
|
| Wollongong Wolves WS Wanderers U21 2026-08-23 |
WLLLL
LLWWL |
1X | 3:0 |
67.31%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Blacktown City UNSW 2026-08-16 |
LWWWW
LLLWW |
1X | 0:0 |
68.52%
|
| Marconi Stallions Sutherland Sharks 2026-08-16 |
LLLLW
DWWDL |
Handicap 2 (0:2) | 1:0 |
52.08%
|
| Rockdale Ilinden Wollongong Wolves 2026-08-16 |
LDLWL
LLLLL |
1 | 1:2 |
91.2%
|
| WS Wanderers U21 St George Saints 2026-08-15 |
LWWLL
DLDLL |
1X |
62.44%
|
|
| APIA Leichhardt SD Raiders 2026-08-15 |
WDWWW
WWWWW |
Handicap 2 (0:2) |
94.15%
|
|
| Manly Utd NWS Spirit 2026-08-15 |
WDWDW
WLLLW |
1X |
71.19%
|
|
| Sydney Olympic Sydney Utd 2026-08-15 |
WLLLD
LWWLW |
Handicap 1 (2:0) |
61.59%
|
|
| Sydney FC U23 St. George City 2026-08-14 |
DLDDL
WWWLL |
X2 | 0:2 |
61.46%
|
| Round 27 | ||||
| Wollongong Wolves Sydney Utd 2026-08-09 |
LLLLD
WLWWW |
2 DNB | 1:2 |
92.49%
|
| UNSW Sydney Olympic 2026-08-08 |
LLWWW
LLLDW |
1 DNB | 1:3 |
75.24%
|
| Manly Utd Marconi Stallions 2026-08-08 |
DWDWW
LLLWW |
2 DNB | 3:1 |
67.8%
|
| SD Raiders WS Wanderers U21 2026-08-08 |
WWWWL
WWLLW |
1X | 3:0 |
80.04%
|
| NWS Spirit Blacktown City 2026-08-08 |
LLLWD
WWWWD |
X2 | 3:1 |
73.42%
|
| Sutherland Sharks Sydney FC U23 2026-08-08 |
WWDLW
LDDLL |
1 DNB | 1:1 |
73.1%
|
| St George Saints APIA Leichhardt 2026-08-08 |
LDLLL
WWWWW |
2 | 0:0 |
98.03%
|
| St. George City Rockdale Ilinden 2026-08-08 |
WWLLD
DLWLD |
2 DNB | 1:0 |
85.19%
|
Our methodology
Our prediction process for the Npl Nsw is grounded in data analysis and measurable trends. Techniques such as Linear Regression help capture underlying trends in match data. We focus on performance indicators including scoring rates and defensive stability. This offers a clearer breakdown of team performance and expectations.
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