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Eiche Horn vs Aumund-Vegesack Prediction, Odds & Betting Tips - 11-10-2026
Oct 1111:30
Match Prediction
Expected score: Eiche Horn 0-2 Aumund-Vegesack
Eiche HornDrawAumund-Vegesack
Over 2.5 goalsYes (63%)
Eiche Horn face Aumund-Vegesack on 2026-10-11 (Oberliga - Bremen — Bremen - 9).
Our statistical model rates this match as shown in the summary above, with 0-2 the most likely scoreline.
Limited data is available for this fixture; the figures above are model estimates.
Match info
Tournaments:
Oberliga - Bremen(Bremen - 9)
Referee:
No information
Statistics
Odds Comparison
Recent Form
Eiche Horn
D
L
W
W
D
Aumund-Vegesack
D
W
L
W
L
Injuries & Suspensions
Lineups
Standings
| # | Team | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 |  Hemelingen | 8 | 7 | 1 | 0 | 22 |
| 2 |  Blumenthaler SV | 8 | 7 | 0 | 1 | 21 |
| 3 |  Brinkumer SV | 8 | 7 | 0 | 1 | 21 |
| 4 |  OSC Bremerhaven | 8 | 6 | 1 | 1 | 19 |
| 5 |  Aumund-Vegesack | 8 | 4 | 1 | 3 | 13 |
| 6 |  Union Bremen | 8 | 3 | 3 | 2 | 12 |
| 7 |  Eiche Horn | 8 | 3 | 3 | 2 | 12 |
| 8 |  Vatan Sport | 8 | 3 | 1 | 4 | 10 |
| 9 |  Grohn | 8 | 3 | 1 | 4 | 10 |
| 10 |  Schwachhausen | 8 | 3 | 1 | 4 | 10 |
| 11 |  BTS Neustadt | 8 | 3 | 0 | 5 | 9 |
| 12 |  Geestemünde | 8 | 2 | 2 | 4 | 8 |
| 13 |  Leher TS | 8 | 1 | 2 | 5 | 5 |
| 14 |  Werder Bremen III | 8 | 1 | 1 | 6 | 4 |
| 15 |  Woltmershausen | 8 | 1 | 1 | 6 | 4 |
| 16 |  Oberneuland | 8 | 0 | 2 | 6 | 2 |
Other Football matches
Eiche Horn vs Aumund-Vegesack - Football Prediction & Betting Tips
Expert Eiche Horn vs Aumund-Vegesack football prediction on 365sport.tv combines tactical formation analysis with goal-scoring trends. Our model evaluates penalty statistics, clean sheet records, goalkeeper form, defensive line organization and home-field advantage to identify value in match outcomes and goal markets.
Our football prediction methodology analyzes formation matchups, transition efficiency, set-piece vulnerability and injury impact on tactical setup. Compare odds from multiple bookmakers and discover predictions backed by analysis of goal-line actions, corner conversion rates and defensive pressure patterns across multiple possession phases.