Hamburger
1 – 1
Full time
Augsburg
Hamburger vs Augsburg betting tips
Hamburger vs Augsburg finished 1-1. Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
What are the tips for Hamburger vs Augsburg?
1X2
Pick: Final Time 12
· Odds 1.29
· Prob 74%
VIP
Lost
Both Teams To Score
Pick: BTTS Yes
· Odds 1.63
· Prob 52%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 12. Consider this a high-confidence pick.
Previous meetings and recent results
Head to head
Hamburger recent
21 Mar 2026
Borussia Dortmund vs Hamburger
3-2
14 Mar 2026
Hamburger vs FC Koln
1-1
7 Mar 2026
Wolfsburg vs Hamburger
1-2
4 Mar 2026
Hamburger vs Bayer Leverkusen
0-1
1 Mar 2026
Hamburger vs RB Leipzig
1-2
20 Feb 2026
Mainz vs Hamburger
1-1
14 Feb 2026
Hamburger vs Union Berlin
3-2
7 Feb 2026
Heidenheim vs Hamburger
0-2
31 Jan 2026
Hamburger vs Bayern Munchen
2-2
23 Jan 2026
Sankt Pauli vs Hamburger
0-0
Augsburg recent
22 Mar 2026
Augsburg vs Stuttgart
2-5
14 Mar 2026
Borussia Dortmund vs Augsburg
2-0
7 Mar 2026
RB Leipzig vs Augsburg
2-1
27 Feb 2026
Augsburg vs FC Koln
2-0
21 Feb 2026
Wolfsburg vs Augsburg
2-3
15 Feb 2026
Augsburg vs Heidenheim
1-0
7 Feb 2026
Mainz vs Augsburg
2-0
31 Jan 2026
Augsburg vs Sankt Pauli
2-1
24 Jan 2026
Bayern Munchen vs Augsburg
1-2
18 Jan 2026
Augsburg vs Freiburg
2-2
Who will win Hamburger vs Augsburg?
Frequently asked questions
Who will win Hamburger vs Augsburg?
Our model currently leans Final Time 12 with about 74% confidence. See free and VIP markets below.
What are the odds for Hamburger vs Augsburg?
The featured free market shows odds around 1.29 (decimal). Switch odds format in the header if you prefer American or Fractional.
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 25 Oct 2026 20:23 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient