Prediction: Macarthur Rams (W) vs Sydney University (W)
| Macarthur Rams (W) | Draw | Sydney University (W) | |
|---|---|---|---|
| Our model | 41% | 24% | 35% |
| Market | 41% | 25% | 34% |
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 Macarthur Rams (W) (rating 1511 vs 1448).
- H2H favours Macarthur Rams (W): 5-0-1.
Statistics · 10/10 matches analysed
F = for · A = against · HT = half-time · FT = full-time
| Macarthur Rams (W) | Sydney University (W) | |
|---|---|---|
| Goals for / against (FT) | 1.5 / 1.8 | 1.3 / 2 |
| Goals for / against (HT) | 0.5 / 1.1 | 0.6 / 0.6 |
| Half-time result (W/D/L) | 20/20/60% | 40/20/40% |
| Corners (HT / FT) | 2.8 / 4.8 | 1.9 / 4.3 |
| Cards (🟨 / 🟥) | 1.4 / 0.1 | 1.5 / 0.2 |
Head-to-head (H2H) · Macarthur Rams (W) 5–0–1 Sydney University (W)
Swipe the table sideways →
| Date | Home | Score | Away |
|---|---|---|---|
| 19/04/26 Australia New South Wales NPL Women | Sydney University (W) | 3-1 HT 2-0 | Macarthur Rams (W) |
| 10/08/25 Australia New South Wales NPL Women | Sydney University (W) | 0-3 HT 0-1 | Macarthur Rams (W) |
| 11/05/25 Australia New South Wales NPL Women | Macarthur Rams (W) | 3-1 HT 1-1 | Sydney University (W) |
| 09/06/24 Australia New South Wales NPL Women | Sydney University (W) | 0-1 HT 0-1 | Macarthur Rams (W) |
| 10/03/24 Australia New South Wales NPL Women | Macarthur Rams (W) | 2-0 HT 0-0 | Sydney University (W) |
| 03/09/23 Australia New South Wales NPL Women | Sydney University (W) | 1-2 HT 0-0 | Macarthur Rams (W) |
Standings · Australia New South Wales NPL Women
Swipe the table sideways →
| # | Team | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bulls FC Academy (W) | 19 | 14 | 4 | 1 | 52 | 17 | 46 |
| 2 | University NSW (W) | 19 | 13 | 5 | 1 | 39 | 13 | 44 |
| 3 | APIA Leichardt (W) | 19 | 14 | 1 | 4 | 51 | 24 | 43 |
| 4 | Western Sydney Wanderers NPL (W) | 19 | 11 | 4 | 4 | 34 | 21 | 37 |
| 5 | Sydney University (W) | 19 | 8 | 4 | 7 | 41 | 35 | 28 |
| 6 | Northern Tigers FC (W) | 19 | 8 | 3 | 8 | 31 | 26 | 27 |
| 7 | Manly Utd (W) | 19 | 6 | 8 | 5 | 30 | 24 | 26 |
| 8 | Macarthur Rams (W) | 19 | 7 | 3 | 9 | 27 | 33 | 24 |
| 9 | Sydney Olympic FC (W) | 19 | 6 | 3 | 10 | 32 | 35 | 21 |
| 10 | Gladesville Ravens (W) | 19 | 6 | 3 | 10 | 26 | 33 | 21 |
| 11 | Hills United FC (W) | 19 | 6 | 2 | 11 | 22 | 28 | 20 |
| 12 | NWS Spirit (W) | 19 | 5 | 1 | 13 | 26 | 70 | 16 |
| 13 | Illawarra Stingrays (W) | 19 | 3 | 5 | 11 | 16 | 32 | 14 |
| 14 | Western City Rangers (W) | 19 | 2 | 2 | 15 | 18 | 54 | 8 |
Common opponents 8 opponents
How each team fared against the same recent opponents
| Opponent | Macarthur Rams (W) | Sydney University (W) |
|---|---|---|
| Western Sydney Wanderers NPL (W) | 1-0 W | 3-0 W |
| Hills United FC (W) | 3-1 W | 0-3 L |
| APIA Leichardt (W) | 1-2 L | 0-3 L |
| Bulls FC Academy (W) | 0-5 L | 0-6 L |
| Manly Utd (W) | 1-1 D | 1-1 D |
| Illawarra Stingrays (W) | 2-1 W | 0-0 D |
| Western City Rangers (W) | 2-1 W | 5-2 W |
| University NSW (W) | 0-1 L | 1-1 D |
| Record vs common | 4 W 1 D 3 L | 2 W 3 D 3 L |
Better against common opponents: Macarthur Rams (W) (4 of 8 head-to-heads won)
Last 10 matches played
The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.
Macarthur Rams (W)
Swipe the table sideways →
| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 15/07 | Western Sydney Wanderers NPL (W) Australia New South Wales NPL Women |
1-0 | 1-0 | 3 | 1 | W |
| 11/07 | NWS Spirit (W) Australia New South Wales NPL Women |
0-1 | 2-4 | 4 | 2 | L |
| 05/07 | Hills United FC (W) Australia New South Wales NPL Women |
2-0 | 3-1 | 4 | 0 | W |
| 21/06 | APIA Leichardt (W) Australia New South Wales NPL Women |
0-2 | 1-2 | 2 | 1 | L |
| 14/06 | Bulls FC Academy (W) Australia New South Wales NPL Women |
0-3 | 0-5 | 8 | 1 | L |
| 07/06 | Manly Utd (W) Australia New South Wales NPL Women |
0-1 | 1-1 | 5 | 0 | D |
| 31/05 | Illawarra Stingrays (W) Australia New South Wales NPL Women |
0-0 | 2-1 | 8 | 3 | W |
| 24/05 | Western City Rangers (W) Australia New South Wales NPL Women |
1-1 | 2-1 | 5 | 4 | W |
| 17/05 | Northern Tigers FC (W) Australia New South Wales NPL Women |
1-2 | 3-2 | 7 | 2 | W |
| 09/05 | University NSW (W) Australia New South Wales NPL Women |
0-1 | 0-1 | 2 | 1 | L |
Sydney University (W)
Swipe the table sideways →
| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 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 |
| 14/06 | Gladesville Ravens (W) Australia New South Wales NPL Women |
0-1 | 1-1 | 4 | 3 | D |
| 07/06 | APIA Leichardt (W) Australia New South Wales NPL Women |
0-0 | 0-3 | 1 | 2 | L |
| 31/05 | Manly Utd (W) Australia New South Wales NPL Women |
1-0 | 1-1 | 7 | 2 | D |
| 23/05 | University NSW (W) Australia New South Wales NPL Women |
1-0 | 1-1 | 3 | 1 | D |
| 17/05 | Western Sydney Wanderers NPL (W) Australia New South Wales NPL Women |
2-0 | 3-0 | 2 | 1 | W |
| 10/05 | Bulls FC Academy (W) Australia New South Wales NPL Women |
0-1 | 0-6 | 5 | 0 | L |
Frequently asked questions
Who is the favourite in Macarthur Rams (W) vs Sydney University (W)?
According to our model, the most likely result is a Macarthur Rams (W) win (41%). Probabilities: Macarthur Rams (W) 41%, draw 25%, Sydney University (W) 34%.
How many goals are expected in Macarthur Rams (W) vs Sydney University (W)?
The model expects 3.44 goals (Macarthur Rams (W) 1.8 · Sydney University (W) 1.64), with a 51% chance of over 3.25 goals.
Will both teams score in Macarthur Rams (W) vs Sydney University (W)?
The model gives a 59% chance that both teams score.
What is the most likely score?
The most likely score according to our model is 1-1.

