Prediction: Sydney University (W) vs Manly Utd (W)
Team pages: Sydney University (W) · Manly Utd (W)
- Manly Utd (W)1-1Sydney University (W)
- Sydney University (W)0-2Manly Utd (W)
- Manly Utd (W)2-1Sydney University (W)
- Sydney University (W)1-0Manly Utd (W)
- Manly Utd (W)1-1Sydney University (W)
- Sydney University (W)1-0Manly Utd (W)
| Sydney University (W) | Draw | Manly Utd (W) | |
|---|---|---|---|
| Our model | 33% | 28% | 39% |
| Market | 34% | 25% | 41% |
The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.
Match keys
- Our model (Elo, opponent-adjusted) favours Manly Utd (W) (rating 1438 vs 1487).
Statistics · 10/10 matches analysed
F = for · A = against · HT = half-time · FT = full-time
| Sydney University (W) | Manly Utd (W) | |
|---|---|---|
| Goals for / against (FT) | 1.4 / 1.8 | 1.3 / 1.3 |
| Goals for / against (HT) | 0.5 / 0.9 | 0.7 / 0.4 |
| Half-time result (W/D/L) | 30/30/40% | 40/40/20% |
| Corners (HT / FT) | 2.5 / 5.3 | 1.9 / 4.4 |
| Cards (🟨 / 🟥) | 1.1 / 0.1 | 1.1 / 0 |
Head-to-head (H2H) · Sydney University (W) 2–2–2 Manly Utd (W)
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| Date | Home | Score | Away |
|---|---|---|---|
| 31/05/26 Australia New South Wales NPL Women | Manly Utd (W) | 1-1 HT 0-1 | Sydney University (W) |
| 31/08/25 Australia New South Wales NPL Women | Sydney University (W) | 0-2 HT 0-1 | Manly Utd (W) |
| 01/06/25 Australia New South Wales NPL Women | Manly Utd (W) | 2-1 HT 0-1 | Sydney University (W) |
| 18/08/24 Australia New South Wales NPL Women | Sydney University (W) | 1-0 HT 1-0 | Manly Utd (W) |
| 19/05/24 Australia New South Wales NPL Women | Manly Utd (W) | 1-1 HT 0-1 | Sydney University (W) |
| 30/07/23 Australia New South Wales NPL Women | Sydney University (W) | 1-0 HT 0-0 | Manly Utd (W) |
Standings · Australia New South Wales NPL Women
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| # | Team | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bulls FC Academy (W) | 25 | 17 | 7 | 1 | 64 | 24 | 58 |
| 2 | University NSW (W) | 25 | 16 | 8 | 1 | 48 | 19 | 56 |
| 3 | APIA Leichardt (W) | 25 | 16 | 4 | 5 | 64 | 34 | 52 |
| 4 | Western Sydney Wanderers NPL (W) | 25 | 15 | 4 | 6 | 53 | 32 | 49 |
| 5 | Northern Tigers FC (W) | 25 | 10 | 6 | 9 | 40 | 34 | 36 |
| 6 | Sydney Olympic FC (W) | 25 | 11 | 3 | 11 | 44 | 39 | 36 |
| 7 | Manly Utd (W) | 25 | 8 | 9 | 8 | 39 | 33 | 33 |
| 8 | Macarthur Rams (W) | 25 | 9 | 5 | 11 | 38 | 42 | 32 |
| 9 | Sydney University (W) | 25 | 8 | 7 | 10 | 48 | 45 | 31 |
| 10 | Hills United FC (W) | 25 | 8 | 3 | 14 | 32 | 34 | 27 |
| 11 | Gladesville Ravens (W) | 26 | 7 | 5 | 14 | 34 | 51 | 26 |
| 12 | NWS Spirit (W) | 26 | 8 | 2 | 16 | 33 | 79 | 26 |
| 13 | Illawarra Stingrays (W) | 25 | 4 | 7 | 14 | 21 | 45 | 19 |
| 14 | Western City Rangers (W) | 25 | 3 | 2 | 20 | 29 | 76 | 11 |
Common opponents 8 opponents
How each team fared against the same recent opponents
| Opponent | Sydney University (W) | Manly Utd (W) |
|---|---|---|
| University NSW (W) | 1-2 L | 2-2 D |
| Western Sydney Wanderers NPL (W) | 0-1 L | 1-2 L |
| Bulls FC Academy (W) | 1-1 D | 0-1 L |
| NWS Spirit (W) | 1-2 L | 1-3 L |
| Northern Tigers FC (W) | 2-2 D | 1-1 D |
| Hills United FC (W) | 0-3 L | 2-1 W |
| Illawarra Stingrays (W) | 0-0 D | 3-0 W |
| Western City Rangers (W) | 5-2 W | 1-1 D |
| Record vs common | 1 W 3 D 4 L | 2 W 3 D 3 L |
Last 10 matches played
The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.
Sydney University (W)
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 23/08 | University NSW (W) Australia New South Wales NPL Women |
1-0 | 1-2 | 6 | 0 | L |
| 16/08 | Western Sydney Wanderers NPL (W) Australia New South Wales NPL Women |
0-0 | 0-1 | 5 | 0 | L |
| 09/08 | Bulls FC Academy (W) Australia New South Wales NPL Women |
0-0 | 1-1 | 5 | 1 | D |
| 02/08 | NWS Spirit (W) Australia New South Wales NPL Women |
0-2 | 1-2 | 8 | 2 | L |
| 26/07 | Northern Tigers FC (W) Australia New South Wales NPL Women |
2-1 | 2-2 | 2 | 0 | D |
| 19/07 | Macarthur Rams (W) Australia New South Wales NPL Women |
0-2 | 2-2 | 6 | 1 | D |
| 12/07 | Hills United FC (W) Australia New South Wales NPL Women |
0-2 | 0-3 | 8 | 1 | L |
| 05/07 | Illawarra Stingrays (W) Australia New South Wales NPL Women |
0-0 | 0-0 | 4 | 3 | D |
| 28/06 | Western City Rangers (W) Australia New South Wales NPL Women |
2-0 | 5-2 | 4 | 0 | W |
| 21/06 | Sydney Olympic FC (W) Australia New South Wales NPL Women |
0-2 | 2-3 | 5 | 4 | L |
Manly Utd (W)
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 22/08 | NWS Spirit (W) Australia New South Wales NPL Women |
1-2 | 1-3 | 2 | 0 | L |
| 16/08 | Bulls FC Academy (W) Australia New South Wales NPL Women |
0-1 | 0-1 | 11 | 2 | L |
| 09/08 | Illawarra Stingrays (W) Australia New South Wales NPL Women |
2-0 | 3-0 | 7 | 0 | W |
| 02/08 | University NSW (W) Australia New South Wales NPL Women |
1-1 | 2-2 | 3 | 0 | D |
| 26/07 | Western Sydney Wanderers NPL (W) Australia New South Wales NPL Women |
0-0 | 1-2 | 3 | 1 | L |
| 19/07 | Hills United FC (W) Australia New South Wales NPL Women |
1-0 | 2-1 | 4 | 1 | W |
| 12/07 | Gladesville Ravens (W) Australia New South Wales NPL Women |
1-0 | 1-0 | 6 | 0 | W |
| 05/07 | Western City Rangers (W) Australia New South Wales NPL Women |
0-0 | 1-1 | 2 | 1 | D |
| 28/06 | APIA Leichardt (W) Australia New South Wales NPL Women |
1-0 | 1-2 | 3 | 0 | L |
| 20/06 | Northern Tigers FC (W) Australia New South Wales NPL Women |
0-0 | 1-1 | 3 | 6 | D |
Frequently asked questions
Who is the favourite in Sydney University (W) vs Manly Utd (W)?
According to our model, the most likely result is an Manly Utd (W) win (40%). Probabilities: Sydney University (W) 34%, draw 26%, Manly Utd (W) 40%.
How many goals are expected in Sydney University (W) vs Manly Utd (W)?
The model expects 2.78 goals (Sydney University (W) 1.32 · Manly Utd (W) 1.46), with a 56% chance of under 3 goals.
Will both teams score in Sydney University (W) vs Manly Utd (W)?
The model gives a 55% chance that both teams score.
What is the most likely score?
The most likely score according to our model is 1-1.

