Wollongong Wolves

Estatísticas com base nos últimos jogos

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Australia New South Wales Premier League

NSW NPL 2026

P Times W D L Gols PO
1 Sydney United 58 7 0 0 16:5 21
2 Marconi Stallions 5 1 1 12:6 16
3 St George Saints 5 1 1 10:2 16
4 Apia L Tigers 5 1 1 14:9 16
5 Rockdale Ilinden FC 5 0 2 14:9 15
6 Western Sydney Wanderers U21 4 0 3 14:8 12
7 NWS Spirit FC 3 1 3 7:10 10
8 Wollongong Wolves 3 1 3 5:8 10
9 Sydney FC U21 3 0 4 9:11 9
10 St George City FA 2 2 3 7:9 8
11 Sutherland Sharks 2 0 5 8:11 6
12 University NSW 1 2 4 8:13 5
13 Manly Utd 1 2 4 4:9 5
14 Sydney Olympic 1 1 5 10:18 4
15 Blacktown City 1 1 5 9:13 4
16 SD Raiders 1 1 5 11:17 4

NSW NPL 2026

P Times W D L Gols PO
1 Sydney United 58 5 0 0 13:4 15
2 Apia L Tigers 4 0 0 10:5 12
3 St George Saints 3 0 1 7:2 9
4 Wollongong Wolves 2 1 1 4:3 7
5 St George City FA 2 1 1 5:4 7
6 Rockdale Ilinden FC 2 0 2 8:8 6
7 Sydney FC U21 2 0 1 4:4 6
8 NWS Spirit FC 2 0 2 3:6 6
9 Manly Utd 1 1 1 3:3 4
10 Western Sydney Wanderers U21 1 0 1 4:2 3
11 Marconi Stallions 1 0 0 2:1 3
12 SD Raiders 1 0 3 5:9 3
13 Sutherland Sharks 1 0 3 4:6 3
14 University NSW 0 2 0 3:3 2
15 Blacktown City 0 1 2 2:4 1
16 Sydney Olympic 0 1 4 4:13 1

NSW NPL 2026

P Times W D L Gols PO
1 Marconi Stallions 4 1 1 10:5 13
2 Rockdale Ilinden FC 3 0 0 6:1 9
3 Western Sydney Wanderers U21 3 0 2 10:6 9
4 St George Saints 2 1 0 3:0 7
5 Sydney United 58 2 0 0 3:1 6
6 Apia L Tigers 1 1 1 4:4 4
7 NWS Spirit FC 1 1 1 4:4 4
8 Blacktown City 1 0 3 7:9 3
9 Sutherland Sharks 1 0 2 4:5 3
10 University NSW 1 0 4 5:10 3
11 Sydney Olympic 1 0 1 6:5 3
12 Wollongong Wolves 1 0 2 1:5 3
13 Sydney FC U21 1 0 3 5:7 3
14 SD Raiders 0 1 2 6:8 1
15 St George City FA 0 1 2 2:5 1
16 Manly Utd 0 1 3 1:6 1
Inicial Casa Jogando fora de casa 1x2 Queda Handicap Asiático Atual em Casa Linha de Gol Escanteios Asiáticos Ações
29-03 4:00 Wollongong Wolves - Sydney Olympic
Inicio 1.95 3.60 3.10
Final 1.953.60 3.10
0%
-0.5
2.000
3.0,3.5
2.000, 1.800
-
90%10 - 100%10
95%
0.90 - 2.05
04-04 6:00 SD Raiders - Wollongong Wolves
0%
-
-
-
90%10 - 90%10
90%
1.40 - 0.90
12-04 5:00 Blacktown City - Wollongong Wolves
0%
-
-
-
70%10 - 90%10
80%
0.65 - 0.90
19-04 5:00 Wollongong Wolves - Sutherland Sharks
0%
-
-
-
90%10 - 80%10
85%
0.90 - 0.35
26-04 7:00 Sydney United 58 - Wollongong Wolves
0%
-
-
-
70%10 - 90%10
80%
1.10 - 0.90
03-05 5:00 Wollongong Wolves - Rockdale Ilinden FC
0%
-
-
-
90%10 - 60%10
75%
0.90 - 1.50
09-05 5:00 Western Sydney Wanderers U21 - Wollongong Wolves
0%
-
-
-
50%10 - 90%10
70%
1.75 - 0.90
16-05 7:00 Manly Utd - Wollongong Wolves
0%
-
-
-
40%10 - 90%10
65%
1.00 - 0.90

Win rate of last "X" number of games covering the "Asian Handicap"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00

Win rate of last "X" number of games covering the "Goal line"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00

* - Average difference from opening line

Win rate of last "X" number of games covering the "Asian Corners"

5 0% 0.00
10 0% 0.00
15 0% 0.00
Todos 0% 0.00
Show Home (X) Show Away (X) Mostrar estat. do 1º tempo
Data Casa Placar Jogando fora de casa 1x2 Queda Handicap Asiático em Casa Linha de Gol Escanteios Asiáticos Ataques Perigosos Total de chutes Chutes a Gol Escanteios     
W 21-03-2026 8:15 3 [9] St George City FA 0 - 1 Wollongong Wolves [10] 1
S: - 3.40 ?
K: ?3.50 -
8%
?
1.825
-
?
?
1.925, 1.875
?-?

7-4

?-?

5-6

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D 15-03-2026 4:00 3 [9] Wollongong Wolves 0 - 0 NWS Spirit FC [8] 3
S: - 3.60 ?
K: ?3.75 -
16%
?
1.850
-
?
?
1.925, 1.875
?-?

9-10

?-?

4-5

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L 28-02-2026 6:00 2 [9] Apia L Tigers 2 - 0 Wollongong Wolves [11] 2
S: - 4.20 ?
K: ?4.50 -
0%
?
1.900
-
?
?
2.000, 1.800
?-?

17-5

?-?

8-2

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L 22-02-2026 4:00 1 Wollongong Wolves 0 - 1 Marconi Stallions 1
S: - 3.80 ?
K: ?3.80 -
0%
?
1.825
-
?
?
1.900, 1.900
?-?
6-12
?-?
0-4
Abrir página única

Últimas Notificações

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Squad

Nr. Nome Country Birthdate Position Height Weight Foot
- James Baldacchino 1996-07-20 Defender 186 - -
- Brodie Clarkson - - - - - -
- Luke Kairies 1995-03-01 Guard 189 - -
- Jordan Nikolovski - - - - - -
- Ethan Kambisios - - - - - -
- Yuzo Tashiro - - - - - -
- Steven Hayes - - - - -
- Nicholas Montgomery - - - - - -
- Michael Robinson - - - - - -
- Takuya Nozawa 1981-08-12 Midfielder 176 70 Right
- Joshua Macdonald - - - - -
- Robert Delbanco - - - - -
- Jack Lombo - - - - -
- Steve Christovski - - - - -
- Stefan Dimovski 2004-10-31 - 181 - -
- james O'Rourke 1990-03-03 Defender - - -
- Darcy Madden 1996-04-17 Defender 187 - Right
- Nicolas Bernal 1991-01-04 Unknown 181 81 Right
- Justin Pasfield 1985-05-30 Guard 189 78 -
- Daniel Collison 1988-11-01 Guard - - -
- Blake Mcginn - Unknown - - -
- Danny Lazarevski - Defender - - -
- Brett Wilson - Forward - - -
- Ben Zucco - Midfielder - - -
- Peter Simonoski 1993-07-10 Forward - - -
- Christopher Price 1986-06-09 Midfielder - - -
- Zachary Mackenzie - Midfielder - - -
6 Samuel Matthews 1998-01-29 Midfielder 187 - -
- Brendan Griffin 1991-06-17 Midfielder - - -

Latest updates

  • Times

    AI Model Upgrade We’ve replaced the AI model that analyzes games to generate tips and predictions. The new model is in the GPT-5 class and performs on par with Gemini 3.0 Pro, providing deeper analysis and more accurate insights. In-Play & Tips Improvements The predictions list on the In-Play and Tips pages has been enhanced […]

  • Times

    New Feature: AI Assistant We’ve added an AI Assistant to help you find better betting opportunities and get quick match insights. Schedule Page Analysis AI now scans upcoming matches and highlights value bets with higher success probability Get specific betting tips with explanations instead of sorting through raw data yourself Live Match Intelligence New AI […]

  • Times

    Enhanced Winning and Comeback Statistics We’ve refined our winning and comeback formulas with two key improvements: New filtering option: You can now exclude 0-0 games from calculations for more accurate statistics Transparency feature: Hover over any stat to see the complete list of games used in the calculation These enhanced statistics are now available across […]

Blog

  • Times

    The Comeback Factor What is it? The Comeback Factor measures how effectively a team can recover after falling behind in a match. It tells you how often a team can bounce back by scoring the next goal after the other team has taken the lead. How does it work? Every time a team falls behind, […]

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