Heidenheim
2 – 1
Full time
Augsburg
Heidenheim vs Augsburg betting tips
Heidenheim vs Augsburg finished 2-1. Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
What are the tips for Heidenheim vs Augsburg?
Away to Score
Pick: Away Over 0.5
· Prob 73%
VIP
Won
1X2
Pick: Final Time 12
· Odds 1.28
· Prob 70%
VIP
Won
Both Teams To Score
Pick: BTTS Yes
· Odds 1.57
· Prob 53%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Heidenheim recent
20 Sep 2025
Hamburger vs Heidenheim
2-1
13 Sep 2025
Heidenheim vs Borussia Dortmund
0-2
30 Aug 2025
RB Leipzig vs Heidenheim
2-0
23 Aug 2025
Heidenheim vs Wolfsburg
1-3
17 May 2025
Heidenheim vs Werder Bremen
1-4
2 May 2025
Heidenheim vs Bochum
0-0
25 Apr 2025
Stuttgart vs Heidenheim
0-1
19 Apr 2025
Heidenheim vs Bayern Munchen
0-4
13 Apr 2025
Eintracht Frankfurt vs Heidenheim
3-0
Augsburg recent
20 Sep 2025
Augsburg vs Mainz
1-4
14 Sep 2025
Sankt Pauli vs Augsburg
2-1
30 Aug 2025
Augsburg vs Bayern Munchen
2-3
23 Aug 2025
Freiburg vs Augsburg
1-3
17 May 2025
Augsburg vs Union Berlin
1-2
11 May 2025
Stuttgart vs Augsburg
4-0
26 Apr 2025
Bayer Leverkusen vs Augsburg
2-0
20 Apr 2025
Augsburg vs Eintracht Frankfurt
0-0
12 Apr 2025
Bochum vs Augsburg
1-2
4 Apr 2025
Augsburg vs Bayern Munchen
1-3
Who will win Heidenheim vs Augsburg?
Frequently asked questions
Who will win Heidenheim vs Augsburg?
Our model currently leans Away Over 0.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Heidenheim vs Augsburg?
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 31 Oct 2026 11:08 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient