Football · Australia New South Wales NPL Women · 26/07, 09:00

Prediction: Sydney University (W) vs Northern Tigers FC (W)

Prediction summary

Expected goals

3.19Total

Sydney University (W)1.66

Northern Tigers FC (W)1.53

1X2

40% 26% 34%

Sydney University (W) Draw Northern Tigers FC (W)

Markets

Under 3.5 goals 61% Both teams to score 58%

Most likely score

1-1

Recent form · 10 last

Sydney University (W) 2-5-3 (W-D-L)

WDDLDLWDLD

Northern Tigers FC (W) 5-2-3 (W-D-L)

LWWLWDLDWW

Head-to-head

Sydney University (W) 2–2–2 Northern Tigers FC (W) (6 last)

Northern Tigers FC (W)2-3Sydney University (W)
Sydney University (W)2-1Northern Tigers FC (W)
Northern Tigers FC (W)2-2Sydney University (W)

Model analysis

1st-half goalsOver 1.5 · 55%model estimate

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

	Sydney University (W)	Northern Tigers FC (W)
Goals for / against (FT)	1.5 / 1.6	1.7 / 0.9
Goals for / against (HT)	0.6 / 0.7	0.5 / 0
Half-time result (W/D/L)	40/20/40%	50/50/0%
Corners (HT / FT)	1.9 / 4.4	1.7 / 3.9
Cards (🟨 / 🟥)	1.6 / 0.2	2.5 / 0.2

Odds Bet365

Line ⓘ

Over 31.85

Under 31.90

Diff.: 0.15 · xG: 2.85

Market movement

Match winner · 2 moves · last 00:06

	Pinnacle	Best now
1	2.98 → 3.04▲	Pinn 3.04
X	3.36 → 3.39▲	Pinn 3.39
2	2.12 → 2.08▼	Pinn 2.08

See the full journey (2)

Pinnacle margin 10.5%

Time*	1	X	2
23:06 +2’	2.98	3.36	2.12
00:06	3.04▲	3.39▲	2.08▼

Time = when the bookmaker moved the price · “+N’” = we saw it N minutes later · ▲ pays more · ▼ pays less.

We record the changes we see on each pass of our system (this is not a live feed): between two rows there may be moves that don't show up. We deliberately keep two separate times: when the bookmaker moved the price and when we saw it.

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Head-to-head (H2H) · Sydney University (W) 2–2–2 Northern Tigers FC (W)

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Date	Home	Score	Away
25/04/26 Australia New South Wales NPL Women	Northern Tigers FC (W)	2-3 HT 1-1	Sydney University (W)
09/07/25 Australia New South Wales NPL Women	Sydney University (W)	2-1 HT 0-0	Northern Tigers FC (W)
15/03/25 Australia New South Wales NPL Women	Northern Tigers FC (W)	2-2 HT 1-1	Sydney University (W)
25/08/24 Australia New South Wales NPL Women	Sydney University (W)	0-1 HT 0-1	Northern Tigers FC (W)
25/05/24 Australia New South Wales NPL Women	Northern Tigers FC (W)	3-3 HT 1-2	Sydney University (W)
18/06/23 Australia New South Wales NPL Women	Northern Tigers FC (W)	1-0 HT 0-0	Sydney University (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)	20	15	4	1	57	20	49
2	University NSW (W)	21	13	7	1	42	16	46
3	APIA Leichardt (W)	21	14	2	5	53	27	44
4	Western Sydney Wanderers NPL (W)	20	11	4	5	37	26	37
5	Northern Tigers FC (W)	20	9	3	8	34	27	30
6	Manly Utd (W)	20	7	8	5	32	25	29
7	Sydney University (W)	20	8	5	7	43	37	29
8	Macarthur Rams (W)	20	7	4	9	29	35	25
9	Sydney Olympic FC (W)	20	7	3	10	34	36	24
10	Gladesville Ravens (W)	20	6	4	10	28	35	22
11	Hills United FC (W)	21	6	2	13	23	31	20
12	NWS Spirit (W)	21	6	2	13	28	71	20
13	Illawarra Stingrays (W)	20	3	6	11	17	33	15
14	Western City Rangers (W)	20	2	2	16	19	57	8

Common opponents 7 opponents

How each team fared against the same recent opponents

Opponent	Sydney University (W)	Northern Tigers FC (W)
Illawarra Stingrays (W)	0-0 D	3-0 W
Western City Rangers (W)	5-2 W	3-1 W
Gladesville Ravens (W)	1-1 D	0-1 L
APIA Leichardt (W)	0-3 L	4-1 W
Manly Utd (W)	1-1 D	1-1 D
University NSW (W)	1-1 D	0-0 D
Western Sydney Wanderers NPL (W)	3-0 W	2-1 W
Record vs common	2 W 4 D 1 L	4 W 2 D 1 L

Better against common opponents: Sydney University (W) (3 of 7 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.

League

Sydney University (W)

WDDLDLWDLD

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Date	Opponent	HT	FT	Cor.	Cards	Res.
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
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

Northern Tigers FC (W)

LWWLWDLDWW

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Date	Opponent	HT	FT	Cor.	Cards	Res.
18/07	Western City Rangers (W) Australia New South Wales NPL Women	1-0	3-1	2	9	W
12/07	Western Sydney Wanderers NPL (W) Australia New South Wales NPL Women	1-0	2-1	4	1	W
04/07	University NSW (W) Australia New South Wales NPL Women	0-0	0-0	4	1	D
27/06	NWS Spirit (W) Australia New South Wales NPL Women	1-0	1-2	4	4	L
20/06	Manly Utd (W) Australia New South Wales NPL Women	0-0	1-1	5	6	D
14/06	Illawarra Stingrays (W) Australia New South Wales NPL Women	0-0	3-0	3	2	W
07/06	Gladesville Ravens (W) Australia New South Wales NPL Women	0-0	0-1	3	1	L
31/05	APIA Leichardt (W) Australia New South Wales NPL Women	1-0	4-1	1	2	W
26/05	Illawarra Stingrays (W) Australia New South Wales Cup Women	1-0	3-0	9	0	W
23/05	Bulls FC Academy (W) Australia New South Wales NPL Women	0-0	0-2	4	1	L

Frequently asked questions

Who is the favourite in Sydney University (W) vs Northern Tigers FC (W)?

According to our model, the most likely result is a Sydney University (W) win (40%). Probabilities: Sydney University (W) 40%, draw 26%, Northern Tigers FC (W) 34%.

How many goals are expected in Sydney University (W) vs Northern Tigers FC (W)?

The model expects 3.19 goals (Sydney University (W) 1.66 · Northern Tigers FC (W) 1.53), with a 51% chance of over 3 goals.

Will both teams score in Sydney University (W) vs Northern Tigers FC (W)?

The model gives a 58% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.