Betting 
Hai Phong
0 – 1
Full time
Quang Nam
Hai Phong vs Quang Nam betting tips
Hai Phong vs Quang Nam finished 0-1. Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
What are the tips for Hai Phong vs Quang Nam?
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 74%
VIP
Won
1X2
Pick: Final Time 1
· Odds 1.57
· Prob 48%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
Previous meetings and recent results
Hai Phong recent
19 Nov 2024
Hai Phong vs Hoang Anh Gia Lai
2-0
14 Nov 2024
Binh Dinh vs Hai Phong
1-0
4 Oct 2024
Hai Phong vs Viettel
2-3
30 Sep 2024
Thanh Hoa FC vs Hai Phong
3-1
21 Sep 2024
Binh Duong vs Hai Phong
1-1
30 Jun 2024
Hoang Anh Gia Lai vs Hai Phong
2-1
25 Jun 2024
Hai Phong vs Ha Noi FC
0-1
16 Jun 2024
Hai Phong vs Binh Duong
3-1
30 May 2024
Viettel vs Hai Phong
2-1
26 May 2024
Hai Phong vs Hong Linh Ha Tinh
3-2
Quang Nam recent
19 Nov 2024
Quang Nam vs Ha Noi FC
1-1
15 Nov 2024
Quang Nam vs Song Lam Nghe An
1-1
10 Nov 2024
Binh Dinh vs Quang Nam
1-0
3 Nov 2024
Quang Nam vs Viettel
0-0
26 Oct 2024
Ho Chi Minh City vs Quang Nam
0-0
3 Oct 2024
Hong Linh Ha Tinh vs Quang Nam
0-0
29 Sep 2024
Quang Nam vs SHB Da Nang
3-2
15 Sep 2024
Quang Nam vs Hoang Anh Gia Lai
0-4
25 Jun 2024
Ho Chi Minh City vs Quang Nam
1-0
19 Jun 2024
Quang Nam vs Song Lam Nghe An
4-2
Who will win Hai Phong vs Quang Nam?
Frequently asked questions
Who will win Hai Phong vs Quang Nam?
Our model currently leans Away Under 1.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Hai Phong vs Quang Nam?
Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.
Where can I see H2H and recent form?
Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.
Last updated 7 Nov 2026 13:42 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient